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Joint Transmission Scheduling and Power Allocation in Wirelessly Powered Hybrid Radio Networks

机译:无线混合无线电网络中的联合传输调度和功率分配

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In this paper, we consider a multi-user hybrid radio network consisting of both conventional active radios that transmit information by self-generated carrier signals and backscatter radios that modulate information on ambient RF signals. All users are wirelessly powered by a power beacon station (PBS) emitting unidirectional RF signals. We assume that each user in the hybrid radio network can schedule its data transmissions in two radio modes, which provides extra degree of freedom for sum throughput maximization. To exploit the radio diversity, we propose a joint optimization of each user's transmission scheduling in two radio modes and the PBS' power allocation for different users. We show that the proposed optimization admits a convex reformulation, efficiently tractable by a centralized algorithm at the PBS. Moreover, we propose a distributed solution that iterates between two sub-problems, i.e., power allocation at the PBS and transmission scheduling at individual users, with reduced computational complexity and guaranteed convergence. Our simulation results verify that two radio modes can complement each other in data transmissions, bringing significant improvement to the sum throughput performance of the hybrid radio network.
机译:在本文中,我们考虑了一个多用户混合无线电网络,该网络由传统的主动无线电(通过自生载波信号传输信息)和反向散射无线电(在环境RF信号上调制信息)组成。所有用户均由发出单向RF信号的功率信标站(PBS)无线供电。我们假设混合无线电网络中的每个用户都可以在两种无线电模式下调度其数据传输,这为总吞吐量最大化提供了额外的自由度。为了利用无线电分集,我们提出了在两种无线电模式下对每个用户的传输调度和PBS针对不同用户的功率分配进行联合优化的建议。我们表明,所提出的优化方案允许通过PBS处的集中算法有效地处理凸凸重构。此外,我们提出了一种分布式解决方案,该解决方案可在两个子问题之间进行迭代,即PBS处的功率分配和单个用户处的传输调度,从而降低了计算复杂性并保证了收敛性。我们的仿真结果验证了两种无线电模式可以在数据传输中相互补充,从而显着改善了混合无线电网络的总吞吐​​性能。

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