DocumentCode
3211101
Title
Statistical “snap-shot” for multi-cell CDMA system capacity analysis
Author
Dziong, Zbigniew ; Krishnan, Maheshwari ; Kumar, Sarath ; Nanda, Sanjiv
Author_Institution
Dept. of Performance Anal., Lucent Technol., Holmdel, NJ, USA
fYear
1999
fDate
1999
Firstpage
1234
Abstract
Capacity analysis in CDMA systems is quite difficult due to the system complexity and interdependence of performance of all connections. Analytical models usually suffer from many simplifying approximations and presumed uniformity of traffic conditions. On the other hand, event driven simulators are time consuming both in the software development and numerical study phases, especially when a multi-cell environment is considered. In this paper we describe a model which combines some advantages of the two approaches. In particular it can provide results in time comparable with analytical models while taking into account interdependencies between the connection parameters the same way as in the simulation model. The model can be compared to capacity evaluation at a given time instant in a simulation model but with a statistical representation of the mobiles. Hence the name statistical snap-shot. In the paper we analyze the main features of the model. Numerical results obtained from the analytic model are found to be within 10% of the results obtained from a detailed simulation study
Keywords
cellular radio; channel capacity; code division multiple access; statistical analysis; telecommunication traffic; CDMA systems; analytic model; capacity analysis; cellular radio; event driven simulators; multi-cell environment; simulation model; statistical representation; statistical snap-shot; Aggregates; Convergence; Interference; Leg; Multiaccess communication; Optimized production technology; Power control; Power system modeling; RF signals; Radio frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
Conference_Location
New Orleans, LA
ISSN
1525-3511
Print_ISBN
0-7803-5668-3
Type
conf
DOI
10.1109/WCNC.1999.796934
Filename
796934
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