Energy Efficiency Optimization for Cognitive Radio MIMO Broadcast Channels

Author

Junling Mao ; Gang Xie ; Jinchun Gao ; Yuanan Liu

Author_Institution

Beijing Key Lab. of Work Safety Intell. Monitoring, Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

17

Issue

2

fYear

2013

fDate

Feb-13

Firstpage

337

Lastpage

340

Abstract

Conventional designs of cognitive radio (CR) multiple-input multiple-output (MIMO) systems mainly focus on the system throughput. Since nowdays the energy efficiency (EE) of wireless systems has become more and more important, this paper intends to improve the system throughput for unit-energy consumption in CR MIMO broadcast channels (BC). The EE optimization problem of CR MIMO BC is studied under the total power constraint, the interference power constraint and the minimum system throughput constraint. Since the EE optimization problem is non-convex, in order to find the optimal solution, we transform it into an equivalent one-dimension problem with a quasi-concave objective function and use the golden section method to solve it. Through simulations, we show the efficiency of the proposed algorithm.

Keywords

MIMO communication; broadcast channels; cognitive radio; concave programming; wireless channels; CR MIMO BC; CR multiple-input multiple-output systems; EE nonconvex optimization problem; cognitive radio MIMO broadcast channels; energy efficiency optimization; equivalent one-dimension problem; interference power constraint; minimum system throughput constraint; quasiconcave objective function; total power constraint; unit-energy consumption; wireless system EE; Cognitive radio; Interference; MIMO; Optimization; Resource management; Throughput; Energy efficiency; MIMO broadcast channels; cognitive radio; power allocation;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2012.121912.122351

Filename

6400349