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Exploiting Backscatter-Aided Relay Communications With Hybrid Access Model in Device-to-Device Networks

机译:利用设备到设备网络中的混合访问模型的反向散射辅助继电器通信

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The backscatter and active RF radios can complement each other and bring potential performance gain. In this paper, we envision a dual-mode radio structure that allows each device to make smart decisions on mode switch between backscatter communications (i.e., the passive mode) or RF communications (i.e., the active mode), according to the channel and energy conditions. The flexibility in mode switching also makes it more complicated for transmission control and network optimization. To exploit the radio diversity gain, we consider a wireless powered device-to-device network of hybrid radios and propose a sum throughput maximization by jointly optimizing energy beamforming and transmission scheduling in two radio modes. We further exploit the user cooperation gain by allowing the passive radios to relay for the active radios. As such, the sum throughput maximization is reformulated into a non-convex. We first present a sub-optimal algorithm based on successive convex approximation, which optimizes the relays' reflection coefficients by iteratively solving semi-definite programs. We also devise a set of heuristic algorithms with reduced computational complexity, which are shown to significantly improve the sum throughput and amenable for practical implementation.
机译:反向散射和有源RF无线电可以相互补充并带来潜在的性能增益。在本文中,我们设想了一种双模式无线电结构,其允许每个设备在反向散射通信(即,被动模式)或RF通信(即,活动模式)之间进行智能决策,根据信道和能量使适应。模式切换的灵活性也使传输控制和网络优化更加复杂。为了利用无线电分集增益,我们考虑一种混合收音机的无线供电设备到设备网络,并通过在两个无线模式中共同优化能量波束形成和传输调度来提出总吞吐量最大化。我们通过允许被动无线电用于激活无线电来进一步利用用户合作增益。因此,总吞吐量最大化被重新重整为非凸起。首先,首先基于连续的凸近似的次优算法,该算法通过迭代解决半定程序来优化继电器反射系数。我们还规定了一系列具有降低的计算复杂性的启发式算法,这被证明可以显着提高总吞吐量和实际实现的可用性。

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