NDLI: A leakage-based dimensionality reduction beamforming for MIMO cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Chengwen Zhang Run Tian Xuezhi Tan
Copyright Year	2013
Description	Author affiliation: Commun. Res. Center, Harbin Inst. of Technol., Harbin, China (Chengwen Zhang; Run Tian; Xuezhi Tan)
Abstract	In order to improve the spectral efficiency, in cognitive radio (CR) network with multiple-input multiple-output (MIMO) links, several secondary users (SU) equipped with multi-antenna intend to communicate with others in an underlay manner by sharing the frequency which is originally allocated to a primary user simultaneously. For such a scenario, secondary users need to suppress the interference caused to primary user and the primary system shouldn't even notice the presence of the secondary system. In this paper, we study the optimal secondary-link beamforming pattern that to maximize the secondary users' signal-to-leakage-and-noise ratio (SLNR) as well as nullify the interference to the primary user. In particular, dimensionality reduction techniques are used to design beamforming vector for the optimal spatial-frequency domain transmit that earns the interference avoidance at the primary user even when the number of receive antenna exceed that of transmit antenna. Simulation results show that compared to the conventional scheme, our proposed method can achieve a desirable performance of both BER and channel capacity.
Starting Page	12
Ending Page	16
File Size	317205
Page Count	5
File Format	PDF
ISBN	9781479914067
DOI	10.1109/ChinaCom.2013.6694557
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	interference supression Array signal processing cognitive radio Transmitting antennas Receiving antennas Interference MIMO Vectors Cognitive radio signal-to-leakage-and-noise ratio (SLNR) beamforming
Content Type	Text
Resource Type	Article

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