Qualcomm ESG Case Study QUEST

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Qualcomm ESG Case Study QUEST Powered By Docstoc
					     ENGINEERIN G
     SERVICES
     GROUP


                                                                                       C AS E ST U DY


PREDICTING COVERAGE AND SIMULATING NETWORK DESIGN WITH QUEST™


Delivering services and technical evaluations                                           COMPANY
for network operators worldwide                                                         - Operator in North America
                                                                                        - Nationwide deployment of UMTS/HSPA
                  Qualcomm Engineering Services Group (ESG)
                  accelerates the adoption of mobile technologies
                  through initiatives, professional services and                       SITUATION
                  technical education. By analyzing and                                u	Increased	network	surge	anticipated	
                  recommending technology evolution solutions,                           during	a	championship	game	at	a	
                                                                                         large,	indoor	stadium
                  optimizing network design and deployments,
                                                                                       u	Required	capacity	and	coverage	
educating via technical training and customized workshops, and
                                                                                         dimensioning	specifically	tailored	to	
collaborating with key industry groups, Qualcomm ESG enables                             analyze	a	large	indoor	event
operators to efficiently migrate to next-gen technologies. The                         u	Limited	time	and	resources	did	
following case study shows how Qualcomm ESG helped an operator                           not	allow	for	the	performance	of	
                                                                                         cumbersome	stress	tests	
more effectively manage its network coverage and capacity. Using
results from the Qualcomm Engineering Simulation Tool, QUEST™,
                                                                                       Figure	1:	Managing	Data	Capacity	
the operator optimized data throughput for a major indoor sporting                     Constraints
event and was able to efficiently dimension its network.

AT ISSUE
                                                                                                          Network Optimized
Requirement for independent, third party network coverage and
capacity analysis                                                                                              Recommendations
In this particular case, the operator lacked tools to predict data traffic at a high
attendance sporting event and required an independent, third party network                   Improvements
                                                                                               to network
                                                                                                                 Improvements
coverage and capacity analysis from Qualcomm. During non-game days, the                       configuration
                                                                                                                        to
                                                                                                                                 Network
                                                                                                 (e.g. RF                        planning
operator’s network traffic remained idle, but during a sporting event, traffic                configuration,
                                                                                                                  dimensioning
                                                                                                                     process
                                                                                                                                   tools
                                                                                               parameter
increased dramatically. On game day, 20,000 subscribers were expected, each                     settings)

using their cells phones not only to make calls (voice) but also to access data -
to send e-mail or pictures, surf the web, and communicate via social networking
and Instant Messaging (IM). Although outdoor network planning tools are
readily available to design networks to handle data traffic surges, their indoor                      Determine network constraints
                                                                                                     and limitations based on QUEST
counterparts, used to analyze environments such as stadiums, convention halls,
or concert halls, do not typically exist.
Operators can benefit from QUEST, a simulation tool that accurately predicts
                                                                                                                 Run QUEST
network coverage, capacity and data traffic within indoor environments. QUEST
uses real-world network data and generates network coverage and capacity
results for a given mix of inputs (such as morphology, UE mix, traffic patterns,
and/or applications).                                                                                Collect data on existing network
                                                                                                      configuration, traffic forecast
THE CHALLENGE
                                                                                                      Capacity Constraints &
Predicting surges in network usage & anticipating coverage constraints                                Network Not Optimized
A global wireless operator based in North America was considering a UMTS
deployment and wanted to improve its network coverage and capacity during a
major indoor sporting event. Predicting a surge of network traffic before, during
and after this event, the operator anticipated increased usage on its network.
They engaged with Qualcomm to better optimize network capacity and deliver
an improved user experience.

www.qualcomm.com/esg
       ENGINEERIN G
       SERVICES
       GROUP



PREDICTING COVERAGE & SIMULATING NETWORK DESIGN WITH QUEST™ | CASE STUDY


THE SOLUTION
                ESG expertise, improving coverage, and forecasting data             RESULTS
                traffic surges                                                        C
                                                                                    u		 all	drops	are	minimized
                Working side-by-side with the operator and using QUEST,               C
                                                                                    u		 overage	is	improved
                Qualcomm ESG provided technical consulting and analysis
                                                                                      D
                                                                                    u		 ata	throughput	and	capacity	
                including:
                                                                                      management	is	optimized
                u RF optimization at both the indoor sites and surrounding macro      P
                                                                                    u		 otential	CAPEX	savings	and	yearly	
                sites                                                                 OPEX	savings	
                u Estimates on expected throughputs based upon documented
                network traffic and operator assumptions                            FIGURE	2:	QUEST™	Solution
u   Parameter recommendations to manage network traffic during the event
                                                                                                                                   QUEST Output
u   Support planning and stress tests at the actual event                                            Cell Statistics (aggregated)                           Mobile Statistics
                                                                                                     • Throughput                                           • Position
                                                                                                     • Power, Code Utilization for                          • Throughput
In addition, Qualcomm collaborated with the operator to run the QUEST steps                            HSPA, HSPA+                                          • Latency

depicted in Figure 2.


RESULTS                                                                                                                             Simulation

                                                                                      Application                                  Air Interface               RF Layer
Prior to the indoor sporting event, the operator recognized that it needed an         Emulation Models                             Simulator
                                                                                                                                                               • Actual Network
independent, third party capacity analysis to validate its network design. The        • 3GPP/3GPP2                                 • Advanced                    Configuration
                                                                                        Application                                  Schedulers for              (Import Pathloss
operator hired Qualcomm ESG who used QUEST, their propriety tool, to estimate           Emulation                                    Radio Resource              Information from
                                                                                        Models                                       Management                  Network Planning
cell capacity before and after antenna optimization. As shown in Figure 3, QUEST      • Packet Tracing                             • Rate Predictions            Tool / Actual
                                                                                                                                     Using Detailed              Measurements)
is an accurate predicting tool for actual HSDPA throughput traffic. QUEST                                                            Link Curves

helped accurately predict the operator’s RF needs and distributed antennae
systems (DAS) required. Using recommendations from Qualcomm, the operator
determined optimal antenna placement to provide uniform coverage and                  • Voice Traffic                              • HSPA Code,                • Cell Site
sufficient capacity for the event.                                                    • Full Buffer,
                                                                                        Browsing, Video
                                                                                                                                     Power, HS-SCCH
                                                                                                                                     Number
                                                                                                                                                                 Information
                                                                                                                                                               • Models to
                                                                                        Streaming Models                           • UE Categories,              Simulate Fading –
Operators use QUEST to accurately forecast capacity in their networks, thereby        • Ability to
                                                                                        Simulate Packet
                                                                                                                                     Types of UE
                                                                                                                                     Receivers
                                                                                                                                                                 Actual
                                                                                                                                                                 Measurement
streamlining the backhaul monitoring and dimensioning process by enabling a             Arrival of Actual
                                                                                        Web Sites
                                                                                                                                   • 64 QAM, MIMO,
                                                                                                                                     DC-HSPA
                                                                                                                                                                 Feasible
                                                                                                                                                               • User Placement in
                                                                                                                                   • Scheduler
close correlation of market-forecast growth with actual traffic demand seen in                                                       Capabilities, QOS
                                                                                                                                                                 Cell
                                                                                                                                                               • Indoor /Outdoor
                                                                                                                                   • Rise over Thermal           Users
their network. The specialized reports and decision processes can be quickly                                                                                   • Traffic Demand
implemented. This improved process allowed this particular operator to refine its
                                                                                                                                         Inputs
capacity growth plans for the transport network.


                                                                                    FIGURE	3:	Capacity	Predictor	for	a	Sporting	
                                                                                    Event	(example)

                                                                                                                   1200
                                                                                                                                                                  QUEST
                                                                                        HSDPA Throughput in kbps




                                                                                                                   1000                                           ACTUA
                                                                                                                                                                          L
                                                                                                                   800

                                                                                                                   600

                                                                                                                   400

                                                                                                                   200

                                                                                                                    0
                                                                                                                          Cell 0
                                                                                                                                    Cell 1
                                                                                                                                                   Cell 2
                                                                                                                                                                 Cell 3




www.qualcomm.com/esg
                                                                                                                                                                   2010.03.V01