Title :
Energy efficient greedy link scheduling and power control in wireless networks
Author :
Sridharan, Arun ; Joo, Changhee ; Koksal, C. Emre
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
We consider the problem of joint link scheduling and power control for wireless networks with average transmission power constraints. Due to the high computational complexity of the optimal policies, we extend the class of greedy link scheduling policies to handle average power constraints. We develop a greedy link scheduling and power control scheme GECS, with provable performance guarantees. We show that the performance of our greedy scheduler can be characterized using the Local Pooling Factor (LPF) of a network graph, which has been previously used to characterize the stability of the Greedy Maximal Scheduling (GMS) policy for wireless networks. We also simulate the performance of GECS on wireless network, and compare its performance to another candidate greedy link scheduling and power control policy.
Keywords :
computational complexity; energy conservation; graph theory; greedy algorithms; power control; radio links; radio networks; scheduling; stability; telecommunication control; GECS; GMS; LPF; average transmission power constraint; computational complexity; energy efficient greedy link scheduling policy; greedy maximal scheduling; local pooling factor; network graph; power control scheme; wireless network; Interference; Optimal scheduling; Power control; Processor scheduling; Throughput; Vectors; Wireless networks;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284672