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Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks

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  • Mehdi Ghamari Adian

Abstract

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.

Suggested Citation

  • Mehdi Ghamari Adian, 2014. "Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks," Journal of Optimization, Hindawi, vol. 2014, pages 1-10, May.
    • Handle: RePEc:hin:jjopti:325217
    DOI: 10.1155/2014/325217
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    Cited by:

    1. Mehdi Ghamari Adian & Mahin Ghamari Adyan, 2014. "Optimal and Suboptimal Resource Allocation in MIMO Cooperative Cognitive Radio Networks," Journal of Optimization, Hindawi, vol. 2014, pages 1-13, August.

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