Energy-efficient transmission in cognitive radio networks

Authors:
Liying Li;Xiangwei Zhou;Hongbing Xu;Geoffrey Ye Li;Dandan Wang;Anthony Soong
Affiliations:
School of CAE, University of Electronic Science and Technology of China, Chengdu, China and School of ECE, Georgia Institute of Technology, Atlanta, GA;School of ECE, Georgia Institute of Technology, Atlanta, GA;School of CAE, University of Electronic Science and Technology of China, Chengdu, China;School of ECE, Georgia Institute of Technology, Atlanta, GA;Wireless Advanced Research, Huawei Technologies, Plano, TX;Wireless Advanced Research, Huawei Technologies, Plano, TX
Venue:
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Year:
2010

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Abstract

Cognitive radio (CR) networks are designed to utilize the licensed spectrum when it is not llsed by the primary (licensed) users. In this paper, we investigate how a CR user senses multiple channels and determine the optimal transmission duration and power allocation. When performing optimization, we take energy efficiency, throughput, and interference with the primary users into consideration and find a closed-form solution for transmission duration for chosen channels. It is shown that the proposed optimization approach significantly improves energy efficiency and throughput of CR networks.