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Joint Relay Selection and Power Allocation in Underwater Cognitive Acoustic Cooperative System with Limited Feedback

机译:带有有限反馈的水下认知声学协作系统中的联合继电器选择和功率分配

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We study the problem of joint relay selection and power allocation in a underwater cooperative system with multiple users assisted by multiple relays. Due to the harsh underwater environments, the channel state information (CSI) at the transmitter is imperfect, which leads to the performance degrading in the underwater cooperative acoustic system. Therefore, we analyze the cooperative underwater acoustic channel with limited feedback to increase the sum-rate of the system. Meanwhile, different from other researches, we do not only focus on the single system scenario, but also consider the presence of nearby acoustic activities and the problem of joint relay selection and power allocation is solved in a cognitive acoustic (CA) scenario. Thus the codebook of interference CSI and the codebook of quantized relay selection and power allocation strategy are designed, respectively. Simulation results show that a few bits feedback can significantly improve the performance of the CA cooperative acoustic system.
机译:我们研究了多个继电器辅助的多个用户的水下协作系统中的关节继电器选择和功率分配问题。由于苛刻的水下环境,发射机处的信道状态信息(CSI)是不完美的,这导致水下协作声系统中的性能下降。因此,我们分析了具有有限反馈的协同水下声学通道,以增加系统的总和率。同时,与其他研究不同,我们不仅专注于单一系统场景,而且还考虑附近的声学活动以及关节继电器选择和功率分配问题在认知声学(CA)场景中解决了。因此,分别设计了干扰CSI的码本和量化中继选择和功率分配策略的码本。仿真结果表明,一些比特反馈可以显着提高CA合作声学系统的性能。

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