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Joint Bandwidth and Power Allocation for MIMO Two-Way Relays-Assisted Overlay Cognitive Radio Systems

机译:MIMO两路中继辅助覆盖认知无线电系统的联合带宽和功率分配

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This paper studies the achievable cognitive sum rate of an overlay cognitive radio (CR) system assisted with multiple antennas two-way relays in which primary users (PUs) cooperate with cognitive users (CUs) for mutual benefits. In this context, the problems of both bandwidth and power allocation are investigated. We propose that the CUs are allowed to allocate a part of the PUs spectrum to perform their cognitive transmission. In return, acting as amplify-and-forward two-way relays, they are exploited to support PUs to reach their target data rates over the remaining bandwidth. Power expressions for optimal transmit power allocated per PU and CU antenna are derived under primary quality-of-service constraint in addition to bandwidth and power budget constraints. More specifically, CUs act as relays for the PUs transmission and gain some spectrum as long as they respect these constraints. After deriving the optimal transmit powers, we employ a strong optimization tool based on swarm intelligence to optimize the full and complex relay amplification gain matrices in addition to the bandwidths released to primary and cognitive transmission. Furthermore, three different utility functions are considered in our optimization problems depending on the level of fairness among CUs.
机译:本文研究了覆盖认知无线电(CR)系统的可实现的认知总速率,该系统辅以多天线双向中继,主要用户(PU)与认知用户(CU)合作以实现互惠互利。在这种情况下,研究了带宽和功率分配的问题。我们建议允许CU分配一部分PU频谱以执行其认知传输。作为回报,作为放大和转发双向中继,它们被利用来支持PU在剩余带宽上达到其目标数据速率。除了带宽和功率预算约束之外,还根据主要服务质量约束来推导为每个PU和CU天线分配的最佳发射功率的功率表达式。更具体地,只要CU遵守这些约束,它们就充当PU传输的中继并获得一些频谱。得出最佳发射功率后,我们将使用基于群智能的强大优化工具,以优化释放到主要传输和认知传输的带宽之外的全部和复杂中继放大增益矩阵。此外,根据CU之间的公平程度,在我们的优化问题中考虑了三种不同的效用函数。

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