In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
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In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile.
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Abstract: In this paper, the authors investigate the performance of a multi-cell CDMA network by determining the maximum throughput that the network can archive for a given grade-of-service requirement, quality-of-service requirement, network topology and call arrival rate profile. The analysis is restricted to the reverse link and accounts for mobility of users between cell. A constrained nonlinear optimization problem is formulated that maximizes the network throughput subject to upper bounds on the blocking probabilities and a lower bound on the bit energy to interference ratio. The goal is to optimize the usage of network resources, provide consistent grade-of-service for all the cells in the network, and maintain a pre-specified quality-of-service. The solution to the optimization problem yields the maximum network throughput as well as the maximum number of calls that should be admitted in each cell for a given topology and call arrival rate profile. Our optimization algorithm yields significantly higher throughput compared with traditional call admission schemes.
Institute of Electrical and Electronics Engineers (IEEE) Wireless Communications, and Networking (WCNC) Conference, March 13-17, 2005. New Orleans, LA, United States
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Akl, Robert G.; Naraghi-Pour, Mort & Hegde, Manju V.Throughput Optimization in Multi-Cell CDMA Networks,
paper,
March 2005;
[New York, New York].
(https://digital.library.unt.edu/ark:/67531/metadc30823/:
accessed October 13, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.
