Optimal received SINR balancing based on cooperative beamforming in cognitive radio networks

2016 ◽  
Vol 30 (8) ◽  
pp. e3173 ◽  
Author(s):  
Javad Zeraatkar Moghaddam ◽  
Hamid Farrokhi ◽  
Fabrizio Granelli
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Cooperative Beamforming

scholarly journals Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Mehdi Ghamari Adian
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Transmit Beamforming ◽  
Secondary Users ◽  
Cooperative Cognitive Radio Networks ◽  
Single Antenna ◽  
Antenna Subset Selection ◽  
Cooperative Beamforming ◽  
Reduced Complexity

An approach for beamforming with reduced complexity in MIMO cooperative cognitive radio networks (MIMO-CCRN) is presented. Specifically, a suboptimal approach with reduced complexity is proposed to jointly determine the transmit beamforming (TB) and cooperative beamforming (CB) weight vectors along with antenna subset selection in MIMO-CCRN. Two multiantenna secondary users (SU) constitute the desired link, one acting as transmitter (SU TX) and the other as receiver (SU RX) and they coexist with single-antenna primary and secondary users. Some of single antenna secondary users are recruited by desired link as cooperative relay. The maximization of the achievable rates in the desired link is the objective of this work, provided to interference constraints on the primary users are not violated. The objective is achieved by exploiting transmit beamforming at SU TX, cooperation of some secondary users, and cooperative beamforming. Meanwhile, the costs associated with RF chains at the radio front end at SU RX are reduced. Through simulations, it is shown that better performance in the desired link is attained, as a result of cooperation of SUs.

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