Title :
Integrated link adaptation and power control for wireless IP networks
Author :
Leung, Kin K. ; Wang, Li-Chun
Author_Institution :
AT&T Labs.-Res., Red Bank, NJ, USA
Abstract :
In this paper, we prove that the problem of maximizing data throughput by adaptive modulation and power control while meeting packet error requirements is NP-complete. A heuristic algorithm for integrated link adaptation and power control is thus proposed to achieve specified error rates and to improve overall throughput for real-time applications in wireless IP networks. The algorithm divides terminals into groups according to their signal path gains, and periodically adapts transmissions based on the required error rates, actual error statistics and average transmission power of each terminal group. Transmission power is adjusted by an enhanced Kalman-filter method to ensure successful reception. Simulation results reveal that the algorithm consistently delivers the specified error performance, and attempts to maximize network throughput for a wide range of parameter settings
Keywords :
Internet; Kalman filters; adaptive modulation; cellular radio; computational complexity; error statistics; packet radio networks; power control; telecommunication control; NP-complete; adaptive modulation; data throughput; enhanced Kalman-filter method; error rates; error statistics; heuristic algorithm; integrated link adaptation; packet error requirements; power control; real-time applications; signal path gain; wireless IP networks; Adaptive control; Error analysis; IP networks; Modulation coding; Power control; Programmable control; Quality of service; Signal to noise ratio; Throughput; Wireless networks;
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5718-3
DOI :
10.1109/VETECS.2000.851640