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Optimal Power Allocation for Sensing-Based Spectrum Sharing in MIMO Cognitive Relay Networks

机译:MIMO认知中继网络中基于感知的频谱共享的最优功率分配

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With most of the radio spectrum already allocated, cognitive radio acts as a promising solution to the spectrum scarcity problem. Increasing the secondary throughput without making interference to the primary user (PU) is a major challenge. In this paper, the secondary throughput is maximized under power constraints by obtaining an optimum value of the relay amplification factor. Comparison between using single antenna, double antennas at all the nodes of the cognitive relay network (CRN), and double antennas at the relay node only is performed. The mathematical analysis of the system is investigated for two cases: (1) The opportunistic access case, where the secondary user (SU) can transmit data only in the vacant bands of the allocated spectrum to the PU; and (2) The sensing-based spectrum sharing case, where the SU can transmit data all the time but with different transmit powers depending on the sensing information. Simulation results show that the achieved secondary throughput can be maximized at a given value of the relay amplification factor. Moreover, using double antennas at all the nodes of the CRN increases the maximum achievable throughput and improves the detection capabilities compared with using single antenna or using double antennas at the relay node only. Finally, results show that the SU can achieve more throughput under the sensing-based spectrum sharing case compared with that achieved under the opportunistic access case.
机译:在已经分配了大多数无线电频谱的情况下,认知无线电可以解决频谱短缺问题。一个主要的挑战是在不干扰主要用户(PU)的情况下增加辅助吞吐量。在本文中,通过获得中继放大因子的最佳值,可以在功率限制下最大化次级吞吐量。仅在认知中继网络(CRN)的所有节点上使用双天线,在中继节点上使用双天线进行比较。针对两种情况研究了系统的数学分析:(1)机会访问情况,其中次要用户(SU)只能在分配频谱的空闲频带中向PU发送数据; (2)基于感测的频谱共享情况,其中SU可以一直发送数据,但是根据感测信息具有不同的发送功率。仿真结果表明,在给定的中继放大因子值下,可以实现最大的次级吞吐量。此外,与仅在中继节点上使用单天线或使用双天线相比,在CRN的所有节点上使用双天线可增加最大可实现吞吐量,并提高检测能力。最后,结果表明,与基于机会接入的情况相比,在基于感知的频谱共享情况下,SU可以实现更高的吞吐量。

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