TY - JOUR
T1 - Decentralized dynamic power control for cellular CDMA systems
AU - Chamberland, Jean François
AU - Veeravalli, Venugopal V.
N1 - Funding Information:
Manuscript received July 19, 2001; revised April 4, 2002 and May 29, 2002; accepted June 25, 2002. The editor coordinating the review of this paper and approving it for publication is S. Roy. This work was supported in part by the National Science Foundation (NSF) under CCR-9980616, through a subcontract with Cornell University, and in part by the NSF CAREER/PECASE under Grant CCR-0049089. This work was presented in part at the SPIE International Symposium on the Convergence of Information Technologies and Communications, Denver, CO, August 2001.
PY - 2003/5
Y1 - 2003/5
N2 - The control of transmit power has been recognized as an essential requirement in the design of cellular code-division multiple-access (CDMA) systems. Indeed, power control allows for mobile users to share radio resources equitably and efficiently in a multicell environment. Much of the work on power control for CDMA systems found in the literature assumes a quasi-static channel model, i.e., the channel gains of the users are assumed to be constant over a sufficiently long period of time for the control algorithm to converge. In this paper, the design of dynamic power control algorithms for CDMA systems is considered without the quasi-static channel restriction. The design problem is posed as a tradeoff between the desire for users to maximize their individual quality of service and the need to minimize interference to other users. The dynamic nature of the wireless channel for mobile users is incorporated in the problem definition. Based on a cost minimization framework, an optimal multiuser solution is derived. The multiuser solution is shown to decouple, and effectively converge, to a single-user solution in the large system asymptote, where the number of users and the spreading factor both go to infinity with their ratio kept constant. In a numerical study, the performance of a simple threshold policy is shown to be near that of the optimal single-user policy. This offers support to the threshold decision rules that are employed in current cellular CDMA systems.
AB - The control of transmit power has been recognized as an essential requirement in the design of cellular code-division multiple-access (CDMA) systems. Indeed, power control allows for mobile users to share radio resources equitably and efficiently in a multicell environment. Much of the work on power control for CDMA systems found in the literature assumes a quasi-static channel model, i.e., the channel gains of the users are assumed to be constant over a sufficiently long period of time for the control algorithm to converge. In this paper, the design of dynamic power control algorithms for CDMA systems is considered without the quasi-static channel restriction. The design problem is posed as a tradeoff between the desire for users to maximize their individual quality of service and the need to minimize interference to other users. The dynamic nature of the wireless channel for mobile users is incorporated in the problem definition. Based on a cost minimization framework, an optimal multiuser solution is derived. The multiuser solution is shown to decouple, and effectively converge, to a single-user solution in the large system asymptote, where the number of users and the spreading factor both go to infinity with their ratio kept constant. In a numerical study, the performance of a simple threshold policy is shown to be near that of the optimal single-user policy. This offers support to the threshold decision rules that are employed in current cellular CDMA systems.
KW - Code-division multiple access (CDMA)
KW - Dynamic programming
KW - Optimal control
KW - Power control
KW - Spread spectrum
KW - Wireless communication
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U2 - 10.1109/TWC.2003.811186
DO - 10.1109/TWC.2003.811186
M3 - Article
AN - SCOPUS:1542312953
SN - 1536-1276
VL - 2
SP - 549
EP - 559
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 3
ER -