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Joint Energy-Bandwidth Allocation in Multiple Broadcast Channels With Energy Harvesting

机译:具有能量收集功能的多个广播信道中的联合能量带宽分配

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In this paper, we consider the energy-bandwidth allocation for a network with multiple broadcast channels, where the transmitters each powered by an energy harvester, access the network orthogonally on the assigned frequency band and each transmitter communicates with multiple receivers orthogonally or non-orthogonally. We assume that the energy harvesting state and channel gain of each transmitter can be predicted for time slots . To maximize the weighted throughput, we formulate an optimization problem with constraints, where is the total number of receivers, and optimize over the energy and bandwidth allocation variables. To solve the problem efficiently, an iterative algorithm is proposed that alternatively solves the two subproblems of energy allocation and bandwidth allocation in each iteration. We show that this algorithm converges to the optimal solution. Also, we propose efficient algorithms to solve the two subproblems, so that the optimal energy-bandwidth allocation can be obtained with an overall complexity of , even though the problem is non-convex when the broadcast channel is non-orthogonal. Simulation results show that the proposed algorithms can make efficient use of the harvested energy and the available bandwidth, and achieve significantly better performance as compared to some heuristic policies for energy and bandwidth allocation. Moreover, it is seen that with energy-harvesting transmitters, the non-orthogonal broadcast channel offers limited gain over the orthogonal broadcast channel.
机译:在本文中,我们考虑了具有多个广播信道的网络的能量带宽分配,其中每个发射机均由能量采集器供电,在分配的频段上正交访问网络,每个发射机与多个接收机正交或非正交地通信。我们假设可以为每个时隙预测每个发射机的能量收集状态和信道增益。为了最大化加权吞吐量,我们制定了一个有约束的优化问题,其中接收器总数为,并在能量和带宽分配变量上进行优化。为了有效地解决该问题,提出了一种迭代算法,该算法可交替解决每次迭代中能量分配和带宽分配的两个子问题。我们证明了该算法收敛于最优解。此外,我们提出了有效的算法来解决这两个子问题,从而即使广播信道非正交时该问题是非凸的,也可以获得总能量为的最佳能量带宽分配。仿真结果表明,与一些启发式的能量和带宽分配策略相比,所提出的算法可以有效利用采集的能量和可用带宽,并获得明显更好的性能。而且,可以看出,对于能量收集发射机,非正交广播信道在正交广播信道上提供有限的增益。

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