Distributed Energy Efficiency Optimization for MIMO Cognitive Radio Network

Author

Xiaohui Zhang ; Hongxiang Li ; Yanhui Lu ; Bing Zhou

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Louisville, Louisville, KY, USA

Volume

19

Issue

5

fYear

2015

fDate

May-15

Firstpage

847

Lastpage

850

Abstract

This paper considers a multiple-input-multiple-output (MIMO) cognitive radio network, where secondary users (SUs) equipped with multiple antennas coexist with a primary user (PU). Joint power allocation and transmission beamforming design is proposed to optimize the network energy efficiency under power constraint and interference temperature constraint. Distributed algorithm that maximizes energy efficiency of each individual node is derived through fractional programming. Simulation results are presented to validate the convergence and effectiveness of the proposed algorithm.

Keywords

MIMO communication; cognitive radio; mathematical programming; telecommunication power management; MIMO cognitive radio network; distributed algorithm; distributed energy efficiency optimization; fractional programming; interference temperature constraint; multiple antennas; network energy efficiency; power allocation; power constraint; primary user; secondary users; transmission beamforming design; Interference channels; MIMO; Optimization; Receivers; Signal processing algorithms; Throughput; Multiple-input-multiple-output (MIMO); beamforming; cognitive radio; energy efficiency; fractional programming; multiple-input-multiple-output(MIMO);

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2015.2414415

Filename

7062900