Media and data traffic coexistence in power-controlled wireless networks
WMuNeP '05 Proceedings of the 1st ACM workshop on Wireless multimedia networking and performance modeling
Channel Adaptive Power Control in the Uplink of CDMA Systems
Wireless Personal Communications: An International Journal
Power Control in Wireless Cellular Networks
Foundations and Trends® in Networking
A utility-based joint power and rate adaptive algorithm in wireless ad hoc networks
IEEE Transactions on Communications
Scalable power selection method for wireless mesh networks
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
A real-time channel evaluation technique for AFH/MSK based on SNR estimation and prediction
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A robust power and rate control method for state-delayed wireless networks
Automatica (Journal of IFAC)
Power control for cognitive radio networks: axioms, algorithms, and analysis
IEEE/ACM Transactions on Networking (TON)
A Cooperative Differential Game of Transmission Power Control in Wireless Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.01 |
A Kalman-filter method for power control is proposed for broadband, packet-switched time division multiple access wireless networks. By exploiting the temporal correlation of co-channel interference, a Kalman filter is used to predict future interference power. Based on the predicted interference and estimated path gain between the transmitter and receiver, the transmission power is determined to achieve a desired signal-to-interference-plus-noise ratio (SINR). A condition to ensure power stability in the packet-switched environment is established and proven for a special case of the Kalman-filter method. The condition generalizes the existing one for a fixed path-gain matrix, as for circuit-switched networks. Performance results reveal that the Kalman-filter method for power control provides a significant performance improvement. Specifically, when messages consist of ten packets on average, the 90th and 95th percentile of the SINR by the new method are 3.79 dB and 5.46 dB above those when no power control is in use, and lie just 0.96 dB and 1.14 dB below the upper-bound performance of the optimal power control, respectively, in a system with four-sector cells and an interleaved frequency assignment of a reuse factor of 2/8. In addition, the new method performs noticeably better than the delta-modulation method and a simple scheme that uses the last measurement as predicted interference power. In an example of 8-PSK modulation and average message length of 20 packets, the SINR performance gain by the new method improves the network throughput by about 150% and 70%, relative to no power control and the simple scheme, respectively