Research Article
Power Allocation Optimization by Minimizing the Spectral Footprint in Cognitive Radio Networks
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694556, author={Yuanxuan Li and Gang Zhu and Siyu Lin and Shengfeng Xu and Yan Li}, title={Power Allocation Optimization by Minimizing the Spectral Footprint in Cognitive Radio Networks}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={cognitive radio resource management spectral footprint bandwidth-interference power product}, doi={10.1109/ChinaCom.2013.6694556} }- Yuanxuan Li
Gang Zhu
Siyu Lin
Shengfeng Xu
Yan Li
Year: 2013
Power Allocation Optimization by Minimizing the Spectral Footprint in Cognitive Radio Networks
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694556
Abstract
The power allocation is a vital issue for cognitive radio networks. The secondary system should select the proper transmission scheme to meet the demand of data transmission with interference constraint. Many existed papers aim to maximize the channel capacity of the secondary system and whose power allocation schemes do not consider the influence of the primary system activity. In this paper, a joint optimization has been considered which includes the primary system activity information and the requirement of the secondary system. By minimizing the bandwidth-interference power product (an metric can evaluate the consumption of spectrum resource), a novel resource allocation scheme is proposed to minimize the spectrum footprint for cognitive radio network. Comparing with traditional power allocation scheme which using the iterative waterfilling method, our proposed power allocation scheme show the significant enhancement and can be validate by the simulation.