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Adaptive Optical PIC Applied in VLC For Multi-user Access Interference Reduction

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					                                                              (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                             Vol. 10, No. 1, January, 2012



Adaptive Optical PIC Applied in VLC For Multi-user
          Access Interference Reduction

                            Peixin, Li                                                            Ying Yi
    Department of Electronics and Radio Engineering                          Department of Electronics and Radio Engineering
                Kyung Hee University                                                     Kyung Hee University
                     Suwon, Korea                                                             Suwon, Korea
                   peixin@khu.ac.kr                                                         yiying@khu.ac.kr


Abstract—Optical wireless data transmission systems for indoor               A lighting device is used as a transmitter without any
application are usually affected by optical interference induced              traces of embellishment in the wireless communication
by sun light and artificial ambient lights. This paper presents a             environment.
characterization of the optical interference produced in visible
light communication (VLC) systems and proposes an effective                  The visible light spectrum does not occupy the radio
scheme to solve it. Regarding the sun light noise and some                    frequency spectrum; therefore the electromagnetic
artificial light noises reduction, the common method is to adapt              interference (EMI) can be avoided by VLC.
the optical bandpass filter which can distinguish the wavelength
                                                                             VLC is suitable for high-speed data transmission, especially
between interference lights and information lights. However, for
some photo-electric systems, the visible lights from the                 in an indoor environment. Though VLC system has distinct
transmitters occupy the same wavelength range, in this case, the         advantages as mentioned above, the performance of VLC is
optical bandpass filter would not reduce the interference noise          limited by several aspects, for example, an inevitable issue is
from the other user, for example, the optical interference caused        the optical interference noise that induced by both natural and
by multi-user access of the optical medium. Therefore, we                artificial light on the receiving photodiode (PD) and the optical
proposed a novel scheme, adaptive optical parallel interference          interference from the multi-user access of the optical medium.
cancellation (AOPIC) to reduce the multiple access interference          In addition, few studies have examined the effects of optical
(MAI) and multiple user interference (MUI) induced by multi-             interference from the multi-user access of the optical medium.
user access of the optical medium, the conventional parallel             Actually, in the realistic communication environment,
interference cancellation (PIC) is analyzed as the comparison.           numerous users transmitting signals are inevitable existing,
Through the simulation results, we can conclude that the AOPIC           Motivated by this, we investigate the utilization of Multi-
scheme shows much better bit error rate (BER) performance                Carrier (MC)-code division multiple access (CDMA)
than the conventional PIC with the increasing number of user.            technology in VLC system. However, we also found that the
                                                                         interference signals from the other users will cause the multi-
    Keywords-component; AOPIC; MAI; MUI;MC-CDMA                          user interference (MUI) and multi-access interference (MAI)
                                                                         that have a significant impact on the MC-CDMA
                       I.      INTRODUCTION                              communication performance. We further proposed an effective
    Recently, visible light communication (VLC) systems have             scheme, AOPIC, to reduce both MAI and MUI induced by
attracted attentions due to the growing progress in the field of         multi-user access of the optical medium, the conventional
visible light technology [1]. Visible light has several attractive       parallel interference cancellation (PIC) is analyzed as the
features distinct from those of radio frequency (RF) and                 comparison. Our essential target is to improve the end-to-end
infrared (IR) [2]. Though both LED and laser diodes (LD) are             optical wireless communication performance.
usually used as optical sources, LEDs are preferred as strong               The remainder of this paper is organized as follows. In
candidates for the next generation lighting technology [3] for           Section Ⅱ, the solution scheme for the natural light noise is
several reasons including fewer safety concerns, a relatively            described, and the performance comparisons and analyses are
long useful life time, and a wider emission angle than those of          given for the proposed system using the AOPIC technique and
LDs [4]. As an emitter for optical wireless communication,               a typical PIC technique through computer simulations in
LED lights emit visible rays as the medium of optical data               Section Ⅲ. Section Ⅳ provides the concluding remarks.
transmission. Nevertheless, with the development of VLC
systems, both the industrial and scientific communities have
recognized that visible light also can be used in the high data                      II.   NATURAL LIGHT NOISE REDUCTION
rate transmission systems, since it has the following advantages
compared to those of RF:                                                 A. Sunlight interference
                                                                             Sunlight that produces interference to the desired lights is
    VLC is harmless to our health.
                                                                         the dominant noise source to induce power penalties in the
    A friendly user interface.                                          performance of transmission systems [5-8], and usually this




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                                                                                                    ISSN 1947-5500
                                                                (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                               Vol. 10, No. 1, January, 2012


power penalties are very large. The effects of optical                    2pcos(θk)nkdk ⁄ λ, where λ is the wavelength of the light in a
interference have been included in the performance analysis of            vacuum [11]. Starting with ηk= Nk, (4) can be applied
VLC high data rate transmission systems by considering that               recursively to arrive at η2, which when substituted into (2)
the optical interference power is proportional to the average             yields ρTE or ρTM, depending on the initialization of the {Nk} as
surface area on the PD. Actually, the sun light produces the              either TE or TM in (3).
highest levels of power spectral density around the wavelength
area of visible light, therefore, it is the major source of optical          A PIN silicon PD is suitable for the outdoor environment
interference on the receiver PD. Moreover, the wavelength of              because of its fast switching capability. Regarding the
the other artificial ambient lights (such as, incandescent lights         preamplifier, we design a low noise field-effect-transistor
and fluorescent lights) and the wavelength of the transmitted             (FET)-based transimpedance inside [14]. So the total received
visible light overlap in some area. Thereby shot noise and                noise variance is the sum of contributions from the shot noise
interference are induced.                                                 and thermal noise, given by [14]:

    The optical interference induces a power penalty that in                        s  total
                                                                                               2
                                                                                                   s s
                                                                                                      shot
                                                                                                             2
                                                                                                                   thermal
                                                                                                                             2

some cases may be very large. Therefore, optical filtering is
used in most systems to overcome some of the problems                                               2qgP I B  {8 pkT
                                                                                                                 bg 2
                                                                                                                                      k
                                                                                                                                           hAI 2 B 2
produced by the ambient light interference. The higher                                                                           g                       (6)
efficiency of the optical filter is achieved for sunlight
interference reduction due to the differences in the optical                                              16 p 2 kTkG 2 2 3
spectrum of each light source [9-10]. Usually, optical filter                                                       h A I 3B }
                                                                                                              gm
includes two types, long-pass filter and band-pass filter (or
interference filters). The use of optical filters reduces the             where the first term is shot noise, and second term is thermal
amount of ambient light that reaches the PD, thus reducing the            noise variance. q is the electronic charge (1.6× -19 C), and B is
                                                                                                                           10
undesirable effects. The transmission gain obtained by the use            the equivalent noise bandwidth corresponding to the data rate. γ
of an optical filter depends on its efficiency in attenuating the         is the O/E conversion efficiency, and Pbg is the optical power of
ambient light while keeping intact the transmitted signal.                the background light, which varies with time and reaches its
Clearly, interference (band-pass) optical filters are more                peak at noon. Tk is the absolute temperature of the environment,
efficient in that operation, provided that the transmitted signal         g is the open-loop voltage gain, η is the fixed capacitance of the
is not attenuated as well.                                                PD per unit area, A is the physical area of the PD, Г is the FET
                                                                          channel noise factor, gm is the FET transconductance, k is
                                                                          Boltzmann's constant. We defined the noise bandwidth factor
B. PIN PD Receiver
                                                                          I2=0.562 following [15-16], and the noise bandwidth factor
    The front-end of PIN PD receiver is constructed from an               I3=0.0868. We choose the average temperature and background
optical bandpass filter, a concentrator, a positive-intrinsic-            noise power according to the time of day from [17], and choose
negative (PIN) silicon PD, and a preamplifier. Optical filter             the other parameter values of the referred symbols from [15-16]
could reduce the optical interference without the bandpass                and list them in Table Ⅰ.
wavelength at visible light spectrum but it could not eliminate
the interference light that are over the same wavelength as                   Sun light produces interference due to the time variations
desired light. The total fraction of power transmitted through            on its intensity as shown in Fig. 1. In the simulation as depicted
the filter, assuming lossless dielectrics, is given by:                   in Fig. 1, the proposed receiver including PIN PD can signi-
                                                                          ficantly reduce the optical interference from the sun light.
                                1      2      2                           When the transmitted date rate is 10 Mbps, the PIN receiver
                   T ( 1)  1  (  TE   TM )             (1)
                                2                                         can reduce nearly 10 dBm interference power as compared to
where the reflection coefficients ρTE and ρTM are defined by the          the original sunlight power without handpass filter. Therefore
following set of recursive equations [11]—[13]                            the simulation result as shown in Fig. 1 can illustrates that
                                                                          optical handpass filter is effectively used to reduce the optical
                                  N 1  2                                interference noise with the different wavelength to desired
                                                              (2)
                                  N 1  2                                lights.

           nk / cos k ,          for TE
      Nk                                , k  {2,..., K }     (3)         TABLE I.               PARAMETERS FOR OPTICAL INTERFERENCE REDUCTION
           nk cos k ,
                                                                                                           CALCULATION.
                                  for TM
                                                                                open-loop voltage gain, g                            10
                 k  1 cos k  jNk sin k
       k  Nk                              , k  {2,..., K }   (4)             fixed capacitance, η                                 112 [pF/cm2]
                 Nk cos k  jk  1 sin k
                                                                                FET transconductance, gm                             30 [mS]
                   nk  1
                  1
        k  sin (        sin k  1) , k  {2,..., K}     (5)                  Noise bandwidth factor, I2                           I2=0.562
                    nk                                                          Noise bandwidth factor, I3                           I3 =0.0868
Here, θk is the angle made by the light ray as it passes from                   FET channel noise factor, Г                          1.5
medium k to medium k + 1, ηk is the effective complex valued
                                                                                Data rate, Rb                                        10, 50 [Mbit/s]
index ―seen‖ by the light wave as it enters medium k, and βk =




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                                                                                                                  ISSN 1947-5500
                                                                        (IJCSIS) International Journal of Computer Science and Information Security,
                                                                                                                       Vol. 10, No. 1, January, 2012


                                                                                   whom have the same number of subcarriers M and the same
                                                                                   spreading factor. Because the carrier frequency of visible light
                                                                                   is very high, the multipath fading can be ignored in the optical
                                                                                   channels [19]. Consequently, the received signals can be
                                                                                   written as:

                                                                                                                           
                                                                                                             K        M
                                                                                               r (t) =                        2 Pk , mbk , m(t  k )ck (t  k )
                                                                                                         k 1 m 1                                                       (9)
                                                                                                                  cos(2fmt  k , m)  n(t )

                                                                                   where n(t) is the additive white Gaussian noise (AWGN). τk is
                                                                                   the time delay for the k-th user. φk,m express the uniform
                                                                                   random variables over [0, 2π]. Pk , m is the received power, the
                                                                                   relationship between received power and transmitted power are
Figure 1. Optical power of interference noise over the day and the reduction       given by:
     effects by the proposed receiver for different transmission data rate.
                                                                                                                                 n 1
                                                                                                 Pk , m  Pk , m(                      ) A cos n Ts ( )G cos         (10)
                  III.     PROPOSED SYSTEM MODEL                                                                                2 d 2

A. MC-CDMA                                                                         Where A is the physical area of PD, d is the distance between
    Different from the frequency division multiple access                          the emitter and the receiver, Ts(Ψ) is the gain of the optical
(FDMA) and time division multiple access (TDMA),                                   filter, Ψ is the angle of incidence, and G is the optical
conventional CDMA techniques use spread codes to identify                          concentrator gain [20], as shown as follows:
each user separately, however, all users in a CDMA system
                                                                                                                                          n2
interfere with each other. Take an example of MC-CDMA,                                                                         G                                       (11)
MC-CDMA is a combination access techniques of CDMA and                                                                                 sin 2  c
orthogonal frequency division multiplexing (OFDM) [18].
Regarding the signals from the other user, it is always                            where n is the material refractive index and Ψc denotes half of
considered as noise, for example, MAI and MUI. These                               the concentrator FOV, usually Ψc≤π/2.
interferences cause communication performance degradation
and limit the capacity of CDMA systems. Conventional                                   The sampled output of the match filter for the k-user in
CDMA systems independently detect each user in parallel                            typical MC-CDMA systems can be expressed as follows:
using a matched filter which consists of the unique spreading
                                                                                               rk (t) =  r (t)ck (t ) cos(2fmt  k , m) dt
                                                                                                                 Tc
code used by that user. In the MC-CDMA, the transmitted                                                       0
signal of the k-th user is given by:                                                                          Tc
                                                                                                         ck (t ) cos(2fmt  k , m)
                    M                                                                                        0
                                                                                                                                                                        (12)
           sk (t) =  2 Pk , mbk , m(t )ck (t ) cos(2 fmt   k , m)   (7)                                           K     M

                    m 1                                                                                      [ 2 Pk , mbk , m(t  k )
                                                                                                                  k 1 m 1
where M is the total number of sub-carriers, Pk,m represents the
                                                                                                              ck (t  k ) cos(2fmt  k , m)  n(t )]dt
transmitted power over m-th sub-carrier for the k-th user. The
subcarriers in MC-CDMA are orthogonal over the chip
duration, hence, m-th sub-carrier frequency is fm=f0+m/Tc,                         If the time delay is limited in a small value, the (12) can be
where Tc is chip duration. θk,m is the phase angle introduced in                   written as:
the carrier modulation process which distributes over [0, 2π].
                                                                                                   M                                        K      M
bk,m(t) and ck(t) are the data sequence and spreading waveform,
respectively, given as follows:                                                           rk (t)   2 Pk , mbk , m(t )   2 Pj , mbj , m(t )kj
                                                                                                  m 1                                      j 1 m 1
                                    
                                                                                                                                            jk                         (13)
                   bk , m(t )      b
                                  i 
                                            k, m    b(t  iTs )                                        Tc
                                                                                                    ck (t )n(t ) cos(2fmt  k , m)dt
                                                                                                         0
                                
                                                                        (8)
                   ck (t )     c   (t  iT )
                               i 
                                        k          c      c
                                                                                    rk (t) consists of three terms. The first is the desired signal
where bk,m and ck are independent random variables with equal                      which gives the sign of the information bit bk. The second term
probability of +1 or -1. While Пb is the rectangular symbol                        is the result of the MAI, and the last is due to noise. The cross-
waveform that is defined over the symbol duration Ts, and Пc is                    correlation of the spreading codes between k-user and j-user is:
the rectangular chip waveform over the interval [0, Tc].
                                                                                                                                   Tc
    We consider K asynchronous MC-CDMA users, all of                                                                      kj   ck (t )cj (t )dt                      (14)
                                                                                                                                   0




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The decision made by the conventional single-user receiver is                                         Wavelength Control
                                                                                                                                                                                Optical signals
given as:
                                                                                                                                                                              IM




                                                                                                                        …




                                                                                                                                                 …
                                                                                                                                                                                        LED User #1
                                                                                    Multi-user            Frequency




                                                                                                                                                                                                    …
                                    bk  sign[rk (t)]




                                                                                                  …
                                                                         (15)       data stream            Mapping                  Spread                  IFFT
                                                                                                                                                                                        LED User #K

                                                                                                                                                                   Received electrical
where sign [.] is the sign function. Hence, the single-user                                                                                                              signal
                                                                                      Output             Frequency      AO                                                          Filter and
matched filter receiver takes the MAI as noise and it can’t                         Information          Demapping      PIC
                                                                                                                                      Despread        FFT
                                                                                                                                                                                  Concentrator
suppress MAI. So we have to propose the interference                                                                                                                PD
cancellation scheme to further reduce the MAI.                                                                                            Channel
                                                                                                                                                                             Receiver
                                                                                                                      Decision
                                                                                                                                         Estimation

B. AOPIC
   The conventional PIC detector cancels the estimates of the                               Figure 2. Simplified block diagram of proposed system model.
MAI from the outputs of the matched filters in a parallel
manner. It follows an iterative process. Thus,                                                                                                   
                                                                                                               Wk(,zm1)  Wk(,zm)                     ˆ( , )
                                                                                                                                                        sk zm [e( z ) ]*                          (20)
                                                                                                                                              (z) 2
                                         K
                                                                                                                                             ˆ
                        sign[rk   2 Pjb  ]
                z 1                                 z 1                                                                                    sk ,m
               bk                                    j    kj             (16)
                                        jk
                                                                                                             ˆ                (z)
                                                                                    where α is a step size, sk , m denotes the input vector of the LMS
    PIC detects all users simultaneously, and parallel detection                    equalizer, and it is defined as:
can be repeated. This process can be repeated over several
stages. With the increase of the stage in PIC process, the better                                                              ˆ( , ) ˆ ) (
                                                                                                                               sk zm  bk( ,zm ck z )                                             (21)
BER performance can be obtained, but at the cost of high
complexity. On the contrary, AOPIC is based on mean square                          And * denotes complex conjugate, e(z) is the error between the
error (MSE) criteria, the cost function is given as follows:                        desired response and the output of the LMS filter, so that,
                                                                                                                                    e( z )  r  r ( z )
                                                                                                                                                 ˆ                                                (22)
                            min E[ r (t )  r ( z )(t ) ]
                                                        2
                                            ˆ                            (17)
                             W
                                                                                                      (z)
                                                                                    Weight vector Wk , m is updated iteratively via minimize the e
Where r(t) is defined in (9), W is the weight vector.                               given as follows:
 ˆ
 r ( z )(t ) represents the estimate of the received signal at the z-th
                                                                                                                        K     M                                                         2
sequence of iterations that is defined as follows:
                                                                                                               r (t)   bk( ,zm ck z ) cos(2fmt  k , m)Wk(,zm) dt (23)
                                                                                                                          ˆ ) (
                                                                                                          Tc
                                                                                           e( z )  
                                                                                                         0
                        K    M                                                                                         k 1 m 1

            r ( z )(t ) =  b c
            ˆ                ˆ       (z) (z)
                                     k ,m k    cos(2fmt  k , m)W(z)
                                                                  k ,m   (18)
                        k 1 m 1
                                                                                        Consider the k-th user, the interference cancellation can be
                                                                                    performed as:
 ˆ )
 bk( ,zm is the estimate of bk , m at the (z)-th iteration.
                                                                                                                                 K     M
                                                                                                  r k (t)  r ( z ) (t)   sk zm cos(2fmt  k , m)Wk(,zm)
                                                                                                   (z)
        The proposed system is depicted by Fig. 2. Frequency                                                                 ˆ( , )
mapping accomplishes data transmission within the visible                                                                                                                                         (24)
                                                                                                                                 j 1 m 1
                                                                                                                                 jk
light wavelength range. Intensity modulation (IM) and photo-
detector (PD) complete the conversion between the electrical                                                ˆ )
signal and the optical signals. Spread codes are used to                            Therefore, the decision bk( ,zm in (21) becomes more reliable,
distinguish different users’ data, since users’ data are separated                  since it is based on the less interfered signal r k .
                                                                                                                                                                       (z)

on the basis of their signature waveforms. The entire concept of
AOPIC is based on the premise that the received signal can be
reliably estimated. Decision, as shown in Fig. 2, follows an                            TABLE II.                PARAMETERS FOR MULTI-USERS BER CALCULATION.
iterative process and subtracts the interference from other users.
Channel estimation evaluates all users simultaneously and then                                Modulation:                                                                      BPSK
AOPIC can be repeated to update the weight vector. Many                                       Noise Model:                                                                    AWGN
algorithms can effectively reduce the MSE, for example, least                                 Spread code:                                                                   Walsh code
mean square (LMS) and recursive least square (RLS). Since the
LMS algorithm has a slower complexity as compared to the                                      IFFT/FFT Size:                                                                       64
RLS, we propose a LMS algorithm in the AOPIC approach.                                        Number of users:                                                                5, 16, 48
The input of the first stage of AOPIC is defined as:
                                                                                              Spread factor:                                                                       32
                            ˆ
                            b(z)
                                     sign[rk (t)]                       (19)                 Original Data rate:                                                            100 Mbps
                             k

where rk (t) is defined in (13). The optimum weights are                                      O/E Conv. Efficiency:                                                          0.53 [A/W]
derived via a LMS algorithm which operates as follows:                                        Background Light Noise:                                                         0 [dBm]




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  Figure 3. Comparison of BER of AOPIC, conventional PIC and no-PIC          Figure 5. Comparison of BER of AOPIC, conventional PIC and no-PIC
                    scheme versus SNR for 5 users.                                            scheme versus SNR for 48 users.




  Figure 4. Comparison of BER of AOPIC, conventional PIC and no-PIC          Figure 6. Comparison of BER of AOPIC, conventional PIC and no-PIC
                   scheme versus SNR for 16 users.                                     scheme versus the number of user for SNR=18dB.

                                                                           performance as compared to the 2-stage PIC.
C. Simulation Analysis
    As analyzed above, we adopted Walsh spread code in the                     In Fig. 3, the BER performance penalty can be
AOPIC scheme and chose multi-stage PIC scheme for                          compensated with the increase of received optical power in
comparison purposes. The received electrical signal-to-noise               both PIC scheme and AOPIC scheme if the number of user is
ratio (SNR) from [12] is:                                                  small. However, with the increase of the number of user, the
                                                                           degree of MUI and MAI caused by the multiple users becomes
                                   (  Pr) 2                               larger, as shown in Figs. 4-5, the scheme without PIC has been
                           SNR                                 (25)
                                   total 2
                                                                           totally failed. Though the PIC can compensate the BER
                                                                           performance penalty with the SNR increases, we can find that
where γ is the O/E conversion efficiency. total is defined in (6).        AOPIC and 2-stage PIC are shown to achieve better
Pr represents the received optical power. The simulation                   performance than the conventional PIC. AOPIC shows a
parameters are listed in Table Ⅱ. Based on Table 1 and 2, the              similar BER performance to 2-stage PIC. When the number of
                                                                           users becomes much larger, 48 users, as shown in Fig. 5,
simulation results are given in Figs 3-6.
                                                                           AOPIC provides a relative better performance than does 2-
    It is shown in Figs. 3-6 that significant performance                  stage PIC.
improvement was obtained by employing the AOPIC and the
                                                                               Finally, we assume that the SNR at the receiver is 18dB,
2-stage cancellation into the PIC receiver. It is clear from Figs.
                                                                           and from Fig. 6, we can further observe that the AOPIC shows
3-6 that the 2-stage PIC shows a significantly better
                                                                           an excellent performance among all schemes with an increase
performance than the 1-stage PIC regardless of the number of
                                                                           in the number of users. Therefore, we can conclude that the
users. As a comparison, 2-stage PIC obtains the better BER
                                                                           Walsh code has a better orthogonal quality in distinguishing
performance, however, at a cost of high complexity. Our
                                                                           different users’ data, and AOPIC can further suppress the MUI
proposed AOPIC scheme is much easier operated, and from
                                                                           and MAI effectively. It is shown that AOPIC can retain a
Figs. 3-6, we can find that AOPIC scheme shows a closed BER
                                                                           performance advantage over conventional PIC.




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                                                                                                        ISSN 1947-5500
                                                                         (IJCSIS) International Journal of Computer Science and Information Security,
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                           IV.    CONCLUSIONS                                        [8]    G.W. Marsh and J.M. Kahn, 50-Mb/s diffuse infrared free-space link
                                                                                            using on-off keying with decision-feedback equalization, in: Proceedings
    The performance of visible light data transmission systems                              of the Fifth IEEE International Symposium on Personal, Indoor and
for indoor use is severely impaired by the optical interference                             Mobile Radio Communications (PIMRC ’94), The Hague, The
noise induced by natural and artificial ambient light. In order to                          Netherlands (September 1994) pp. 1086–1089.
combat the effects of ambient light on the system performance,                       [9]    C.J. Georgopoulos, Suppressing background-light interference in an in-
                                                                                            house infrared communication system by optical filtering, Internat. J.
optical filtering is usually adopted. However, even when                                    Optoelectronics 3(3) (1988).
resorting to optical filter, the optical noise penalty imposed by
                                                                                     [10]   F.R. Gfeller and U. Bapst, Wireless in-house data communication via
the interference from the other user may be difficult to be                                 diffuse infrared radiation, Proc. IEEE 67(11) (November 1979).
compensated. In particular, with the increasing number of users,                     [11]   S. Ramo, J. R. Whinnery, and T. Van Duzer, ―Fields and Waves in
the MUI and MAI induced by multi-user access of the optical                                 Communication Electronics‖ (Wiley, New York, 1984), Chap. 6, pp.
medium imposes very large performance penalties on systems                                  309–310.
operating at data rates up to a few tens of Mbps.                                    [12]   H. A. Macleod, ―Thin-Film Optical Filters‖ (Hilger, London, 1969).
                                                                                     [13]   J. D. Rancourt, ―Optical Thin Films‖ (Macmillan, New York, 1987).
    In this paper, a conventional technique to overcome the
                                                                                     [14]   S.D.Personick, "Receiver design for digital fiber optic communications
penalty induced by ambient light interference is analyzed. This                             systems, I and 11", Bell System Technical J. vol.52, no.6, pp. 843–886,
technique explores the different optical wavelength of the                                  July-August 1973.
transmitted signal and the ambient interference light and the                        [15]   J.R.Barry, ―Wireless infrared communications,‖ Kluwer Academic Press,
characteristics of optical bandpass filtering to cancel the                                 Boston, MA, 1994.
interfering signal. Some aspects of its implementation are also                      [16]   A.P.Tang, J.M.Khan, and K.P.Ho, "Wireless Infrared Communication
discussed. Moreover, it is well known that the MAI and MUI                                  Links Using Multi-Beam Transmitters and Imaging Receivers," IEEE Int.
limit MC-CDMA system capacity and reduce communication                                      Conf. on Communications, pp. 180–186, Dallas, TX, June 1996.
performance. Therefore, we also present an AOPIC scheme for                          [17]   I.E. Lee, M.L. Sim and F.W.L. Kung, "Performance enhancement of
a MC-CDMA system, using band-limited spreading waveforms                                    outdoor visible-light communication system using selective combining
                                                                                            receiver", IET Optoelectron., Vol. 3, Iss. 1, pp. 30-39, 2009.
to prevent the MAI and MUI. The AOPIC receiver parallel
                                                                                     [18]   S. Hara and R. Prasad, ―Overview of multi-carrier CDMA,‖ IEEE Com.
detects the interferers’ signals and subtracts them from the                                Mag., Vol. 35, pp. 126-133, Dec.1997.
user-of-interest. A comparison is made among conventional
                                                                                     [19]   Y.Tanaka, T.Komine, S.Haruyama, M. Nakagawa, "Indoor visible light
PIC, 2-stage PIC, AOPIC. The results obtained with AOPIC                                    data transmission system utilizing white LED lights", IEICE TRANS.
are shown to be much better than those obtained through the                                 COMMUN, vol.E86B, NO.8, 2003.
other interference cancellation schemes.                                             [20]   X. Ning, R. Winston, and J. O’Gallagher, ―Dielectric totally internally
                                                                                            reflecting concentrators,‖ Appl. Optics, vol. 26, no. 2, pp. 300–305, Jan.
                                                                                            1987.

                               REFERENCES                                                                         AUTHORS PROFILE

                                                                                                          Peixin Li received bachelor degree in College of
[1]   D.C.O’Brien et al, " Visible lightcommunication: state of the art and                               Materials Science and Engineering from Jiamusi
      prospects," published in Proc. Wireless World Research Forum 2007.                                  University, in Heilongjiang Province, China. He is
[2]   M.Z.Afgani, H.Haas, H.Elgala, D.Knipp, ―Visible light communication                                 currently pursuing the Master degree of Engineering in
      using OFDM,‖ Proc. IEEE Symp. on Wireless Pervasive Computing,                                      Department of Electronics and Radio Engineering, Kyung
      TRIDENTCOM 2006.                                                                                    Hee University, Korea. His current research interests are
[3]   C.P.Kno, R. M. Fletcher, T. D. Owentowski, M.C.Lardizabal and                                       visible light communication, MIMO-OFDM and MC/DS
      M.G.Craford, ―High performance ALGaInP visible light-emitting                                       CDMA.
      diodes," Appl. Phys. Lett., vol. 57, no.27, pp. 2937-2939, 1990.
[4]   K.D.Langer and J.Grubor, "Recent Developments in Optical Wireless
      Communications using Infrared and Visible Light", ICTON, 2007,
      pp.146-151.
[5]   A.M.R. Tavares, A.J.C. Moreira, C. Lomba, L. Moreira, R.T. Valadas
      and A.M. de Oliveira Duarte, Experimental results of a 1 Mbps IR                                 Ying Yi received the B.S degree in Information
      transceiver for indoor wireless local area networks, in: COMCON V-                               Technology from HeBei Normal University, in HeBei
      Intern. Conf. on Advances in Communications & Control, Crete, Greece                             Province, China, and M.E. degrees from the Department
      (June 26–30, 1995).                                                                              of Electronics and Radio Engineering, Kyung Hee
                                                                                                       University, Korea, in 2008 and 2010, respectively.
[6]   R.T. Valadas, A.J.C. Moreira, C. Oliveira, L. Moreira, C. Lomba, A.M.R.
                                                                                                       Currently, he is a research associate in Department of
      Tavares and A.M. de Oliveira Duarte, Experimental results of a pulse
                                                                                                       Electronics and Radio Engineering, Kyung Hee
      position modulation infrared transceiver, in: Proceedings of the Seventh
                                                                                                       University, Korea. Meanwhile, he is doing the projects for
      IEEE International Symposium on Personal, Indoor and Mobile Radio
      Communications (PIMRC ’96), Taipei, Taiwan (October 15–18, 1996).                                IT Research and Development Program of the Korean
                                                                                     Ministry of Knowledge Economy and Korea Evaluation Institute of Industrial
[7]   M.D. Audeh and J.M. Kahn, Performance evaluation of baseband OOK               Technology (MKE/KEIT) as a researcher. His research interests are optical
      for wireless indoor infrared LAN’s operating ant 100 Mb/s, IEEE Trans.         wireless communication systems, Ad-hoc/Mesh network, and LTE.
      Comm. 43(6) (1995) 2085–2094.




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