Outage Performance of Cognitive Relay Networks with Optimal Relay and Antenna Selection

P. Das
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引用次数: 2

Abstract

Cooperative relaying and multiple-input multiple- output (MIMO) transmission technologies exploit spatial diversity to improve the performance of the secondary users in an underlay cognitive radio network. We consider a multiple-relay cognitive MIMO network that is subject to a peak interference power constraint and a peak transmit power constraint. We present an optimal relay and antenna selection scheme, which jointly selects a relay between a secondary source and a destination, a transmit antenna at the source, and a receive antenna at the destination to maximize the end-to-end signal-to-interference-plus-noise ratio (SINR) at the destination. To demonstrate the advantages of our proposed framework, we derive exact closed-form expression for the outage probability of the secondary network under non- identically distributed Rayleigh fading channels. We also derive insightful expressions for the asymptotic outage probability for high SINR. Several important design insights are reached when both fixed and proportional interference power constraints are employed to limit the interference at the primary user's receiver. Under the proportional interference power constraint, the full diversity order is achieved. Under the fixed interference power constraint, the diversity gain is lost. We then consider a practical scenario in which the secondary users have only the mean channel power gains of the interference links to the primary receiver. The secondary source and the selected relay control their transmit powers in order to satisfy an interference outage constraint. Under this scenario, we also provide an expression for the outage probability of the secondary network for the optimal relay and antenna selection scheme. Our analytical results, which are validated with simulations, show the effective impact of the proposed model on enhancing the overall system performance.
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具有最优中继和天线选择的认知中继网络的中断性能
协作中继和多输入多输出(MIMO)传输技术利用空间分集来提高底层认知无线网络中二次用户的性能。我们考虑了一个受峰值干扰功率约束和峰值发射功率约束的多中继认知MIMO网络。提出了一种中继和天线的优化选择方案,该方案在二次源和目的地之间选择中继,在源处选择发射天线,在目的地处选择接收天线,以最大限度地提高目的地端到端信噪比(SINR)。为了证明该框架的优点,我们推导了非同分布瑞利衰落信道下二次网络中断概率的精确封闭表达式。我们还得到了高信噪比下的渐近中断概率的深刻表达式。当采用固定和比例干扰功率约束来限制主用户接收机的干扰时,达到了几个重要的设计见解。在成比例干扰功率约束下,实现了全分集顺序。在固定干扰功率约束下,分集增益会损失。然后,我们考虑一种实际情况,在这种情况下,辅助用户只有到主接收机的干扰链路的平均信道功率增益。二次源和所选继电器控制其发射功率以满足干扰中断约束。在这种情况下,我们还给出了最优中继和天线选择方案的二次网络中断概率表达式。我们的分析结果通过仿真验证,表明了所提出的模型对提高系统整体性能的有效影响。
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