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Optimal and Suboptimal Resource Allocation in MIMO Cooperative Cognitive Radio Networks

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  • Mehdi Ghamari Adian
  • Mahin Ghamari Adyan

Abstract

The core aim of this work is the maximization of the achievable data rate of the secondary user pairs (SU pairs), while ensuring the QoS of primary users (PUs). All users are assumed to be equipped with multiple antennas. It is assumed that when PUs are present, the direct communication between SU pairs introduces intolerable interference to PUs and thereby SUs transmit signal using the cooperation of one of the SUs and avoid transmission in the direct channel. In brief, an adaptive cooperative strategy for MIMO cognitive radio networks is proposed. At the presence of PUs, the issue of joint relay selection and power allocation in underlay MIMO cooperative cognitive radio networks (U-MIMO-CCRN) is addressed. The optimal approach for determining the power allocation and the cooperating SU is proposed. Besides, the outage probability of the proposed system is further derived. Due to high complexity of the optimal approach, a low complexity approach is further proposed and its performance is evaluated using simulations. The simulation results reveal that the performance loss due to the low complexity approach is only about 14%, while the complexity is greatly reduced.

Suggested Citation

  • 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.
    • Handle: RePEc:hin:jjopti:190196
    DOI: 10.1155/2014/190196
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    1. Mehdi Ghamari Adian, 2014. "Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks," Journal of Optimization, Hindawi, vol. 2014, pages 1-10, May.
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