Title: Linear precoding design for cognitive multiuser MIMO systems using a leakage-based approach

Authors: Chuiqiang Sun; Jianhua Ge; Jing Li; Xiaoye Shi; Xinxin Bao

Addresses: State Key Laboratory of Integrated Service Networks, Xidian University, No. 2 Taibai South Road, Xi'an, Shaanxi 710071, China ' State Key Laboratory of Integrated Service Networks, Xidian University, No. 2 Taibai South Road, Xi'an, Shaanxi 710071, China ' State Key Laboratory of Integrated Service Networks, Xidian University, No. 2 Taibai South Road, Xi'an, Shaanxi 710071, China ' State Key Laboratory of Integrated Service Networks, Xidian University, No. 2 Taibai South Road, Xi'an, Shaanxi 710071, China ' Patent Examination Cooperation Centre of the Patent Office State Intellectual Property Office (SIPO), No. 18 Zhongguancun South Fourth Street, Haidian District, Beijing 100190, China

Abstract: In this paper, we develop linear precoding schemes for cognitive radio (CR) multiuser multiple-input multiple-output (MU-MIMO) downlink systems. A secondary user base station (SBS) with multiple secondary users (SUs) sharing the primary user (PU) spectrum is considered. In the proposed scheme, the block diagonalisation (BD) algorithm is adopted to remove the co-channel interference from the SBS to the PU completely, and the matching weighted signal-to-leakage-and-noise ratio (SLNR) maximisation algorithm is proposed to mitigate interference between SUs. We also discuss the cases where the SBS has only partial channel information and the channel estimation with errors, respectively. The proposed scheme does not require a strict restriction on the number of transmit and receive antennas. Simulation results show that the proposed scheme can achieve high sum rate throughput with affordable complexity.

Keywords: cognitive radio; multiuser MIMO; multiple-input multiple-output; MU-MIMO; block diagonalisation; signal-to-leakage-and-noise ratio; SLNR; linear precoding design; simulation.

DOI: 10.1504/IJES.2013.057084

International Journal of Embedded Systems, 2013 Vol.5 No.3, pp.158 - 165

Received: 08 Nov 2012
Accepted: 26 May 2013
Published online: 19 Jul 2014 *

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