TY - GEN
T1 - A leakage-based dimensionality reduction beamforming for MIMO cognitive radio networks
AU - Zhang, Chengwen
AU - Tian, Run
AU - Tan, Xuezhi
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - MIMO
KW - beamforming
KW - cognitive radio
KW - interference supression
KW - signal-to-leakage-and-noise ratio (SLNR)
UR - https://www.scopus.com/pages/publications/84893521768
U2 - 10.1109/ChinaCom.2013.6694557
DO - 10.1109/ChinaCom.2013.6694557
M3 - 会议稿件
AN - SCOPUS:84893521768
SN - 9781479914067
T3 - 2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings
SP - 12
EP - 16
BT - 2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings
T2 - 2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013
Y2 - 14 August 2013 through 16 August 2013
ER -