Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Network assisted power control for wireless data
Mobile Networks and Applications - Special issue on Mobile Multimedia Communications (MOMUC '99)
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Downlink power allocation for multi-class wireless systems
IEEE/ACM Transactions on Networking (TON)
A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks
IEEE/ACM Transactions on Networking (TON)
BROADCOM '08 Proceedings of the 2008 Third International Conference on Broadband Communications, Information Technology & Biomedical Applications
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Integrated voice/data call admission control for wireless DS-CDMAsystems
IEEE Transactions on Signal Processing
Call admission control for CDMA mobile communications systems supporting multimedia services
IEEE Transactions on Wireless Communications
Optimal resource allocation in multiservice CDMA networks
IEEE Transactions on Wireless Communications
Energy-efficient control of rate and power in DS-CDMA systems
IEEE Transactions on Wireless Communications
A power control game based on outage probabilities for multicell wireless data networks
IEEE Transactions on Wireless Communications
Power-based admission control for multiclass calls in QoS-sensitive CDMA networks
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
In this paper we examine the aggregate throughput of the uplink of a circuit switched CDMA data transmission system using a combination of theoretical and simulation techniques. The theoretical analysis determines the transmitter power levels and the number of active terminals that jointly maximize the throughput via standard optimization methods. We find that the terminal with the lowest path gain should transmit at maximum power and that all other terminals should aim for a common received power level that is higher than the received power from the terminal with lowest path gain. In addition we show that the system should admit the number of terminals that results in a target signal-to-interference-plus-noise ratio that depends on the processing gain and the noise power. A numerical example suggests that power control designed to achieve equal received power for all terminals results in aggregate throughput nearly as high as that obtained with optimum power control. This finding greatly simplifies the engineering problem from a network manager's viewpoint.