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Interference Suppression and Energy Efficiency Improvement With Massive MIMO and Relay Selection in Cognitive Two-Way Relay Networks

机译:关于认知双向继电器网络的大规模MIMO和继电器选择的干扰抑制与能效改进

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We analyze a relay assisted wireless communication link between two underlay massive multiple-input multiple-output (MIMO) terminals. Specifically, an amplify and forwarding (AF) two-way relay is optimally selected to maximize the sum rate and to keep the interference on the primary user (PU) below an interference threshold. We first obtain asymptotic signal-to-interference-plus-noise ratio (SINR) values for two scenarios: (1) the relays and the two end nodes use transmit power scaling and (2) only the end nodes use transmit power scaling. For these two cases, we derive optimal power allocations subject to the PU interference constraints. With these optimal power allocations, we analyze how relay selection impacts the outage, the sum rate, and the energy efficiency of the network. For the first scenario, the outage can be reduced to zero with appropriate power allocation and the relay selection can be done offline. For the second scenario, outage will depend on the instantaneous channel state between the relays and the PU. Furthermore, for a realistic power consumption model, we analyze the energy efficiency and show that relay selection will increase it.
机译:我们分析了两个底层大量多输入多输出(MIMO)终端之间的继电器辅助无线通信链路。具体地,最佳地选择放大和转发(AF)双向继电器以最大化总和速率并将主用户(PU)的干扰保持在干扰阈值以下。我们首先获得两种情况的渐近信号 - 干扰 - 加噪声比(SINR)值:(1)继电器和两个端节点使用发射功率缩放和(2)仅结束节点使用发射功率缩放。对于这两种情况,我们推出了PU干扰约束的最佳功率分配。通过这些最佳功率分配,我们分析了中继选择如何影响网络的中断,总和率和能量效率。对于第一个场景,中断可以通过适当的功率分配减少到零,并且可以离线完成中继选择。对于第二种情况,中断将取决于继电器和PU之间的瞬时信道状态。此外,对于现实的功耗模型,我们分析了能源效率并显示中继选择将增加它。

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