Interference alignment based on subspace tracking in MIMO cognitive networks with multiple primary users

Author

Xie Xianzhong ; Xiong Zebo

Author_Institution

Chongqing Key Lab. of Comput. Network & Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China

Volume

11

Issue

13

fYear

2014

fDate

Supplement 2014

Firstpage

164

Lastpage

170

Abstract

The interference alignment (IA) algorithm based on FDPM subspace tracking (FDPM-ST IA) is proposed for MIMO cognitive network (CRN) with multiple primary users in this paper. The feasibility conditions of FDPM-ST IA is also got. Futherly, IA scheme of secondary network and IA scheme of primary network are given respectively without assuming a priori knowledge of interference covariance matrices. Moreover, the paper analyses the computational complexity of FDPM-ST IA. Simulation results and theoretical calculations show that the proposed algorithm can achieve higher sum rate with lower computational complexity.

Keywords

MIMO communication; cognitive radio; computational complexity; covariance matrices; radiofrequency interference; CRN; FDPM subspace tracking; FDPM-ST IA; MIMO cognitive radio network; computational complexity; fast data projection method; interference alignment algorithm; interference covariance matrix; multiple primary user; primary network; secondary network; Algorithm design and analysis; Antennas; Computational complexity; Covariance matrices; Interference; MIMO; Training; MIMO cognitive networks; computational complexity; interference alignment; multiple primary users; subspace tracking; sum rate;

fLanguage

English

Journal_Title

Communications, China

Publisher

ieee

ISSN

1673-5447

Type

jour

DOI

10.1109/CC.2014.7022541

Filename

7022541