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Sum rate maximization for full duplex wireless-powered communication networks

机译:全双工无线通信网络的总速率最大化

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We consider a full duplex multiuser multiple-input multiple-output system and study the sum rate maximization in a wireless powered communication networks. We assume that the users of uplink (UL) channel have no available power supply and thus a harvest-then-transmit protocol is utilized. Specifically, the base station (BS) first conveys simultaneously the energy to all UL users via energy beamforming and also transmit the information to all users in the downlink (DL) channel via information beamforming. Then, the users in the UL channel send their independent information to the BS using their harvested energy in the second phase. Since the utility function of the sum rate maximization is nonconvex, and thus, the optimal solution is difficult to find in general. To solve this problem, we propose an iterative algorithm to obtain suboptimal solution based on semidefinite program in each iteration. Simulation results demonstrate that the proposed design outperforms the conventional design.
机译:我们考虑一种全双工多用户多输入多输出系统,并研究无线通信网络中的总速率最大化。我们假设上行链路(UL)信道的用户没有可用的电源,因此采用了“收获-然后-传输”协议。具体地,基站(BS)首先经由能量波束成形将能量同时传送给所有UL用户,并且还经由信息波束成形将信息传送给下行链路(DL)信道中的所有用户。然后,在第二阶段中,UL信道中的用户使用他们收集的能量将其独立信息发送到BS。由于求和率最大化的效用函数是非凸的,因此,通常很难找到最优解。为了解决这个问题,我们提出了一种迭代算法,以在每次迭代中基于半定程序获得次优解。仿真结果表明,所提出的设计优于传统设计。

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