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Resource allocation for coordinated multipoint networks with wireless information and power transfer

机译:具有无线信息和功率传输的多点协作网络资源分配

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This paper studies the resource allocation algorithm design for multiuser coordinated multipoint (CoMP) networks with simultaneous wireless information and power transfer (SWIPT). In particular, remote radio heads (RRHs) are connected to a central processor (CP) via capacity-limited backhaul links to facilitate CoMP joint transmission. Besides, the CP transfers energy to the RRHs for more efficient network operation. The considered resource allocation algorithm design is formulated as a non-convex optimization problem with a minimum required signal-to-interference-plus-noise ratio (SINR) constraint at multiple information receivers and a minimum required power transfer constraint at the energy harvesting receivers. By optimizing the transmit beamforming vectors at the CP and energy sharing between the CP and the RRHs, we aim at jointly minimizing the total network transmit power and the maximum capacity consumption per backhaul link. The resulting non-convex optimization problem is NP-hard. In light of the intractability of the problem, we reformulate it by replacing the non-convex objective function with its convex hull, which enables the derivation of an efficient iterative resource allocation algorithm. In each iteration, a non-convex optimization problem is solved by semi-definite programming (SDP) relaxation and the proposed iterative algorithm converges to a local optimal solution of the original problem. Simulation results illustrate that our proposed algorithm achieves a close-to-optimal performance and provides a significant reduction in backhaul capacity consumption compared to full cooperation. Besides, the considered CoMP network is shown to provide superior system performance as far as power consumption is concerned compared to a traditional system with multiple antennas co-located.
机译:本文研究了同时具有无线信息和功率传输(SWIPT)的多用户协作多点(CoMP)网络的资源分配算法设计。特别是,远程无线头(RRH)通过容量受限的回程链路连接到中央处理器(CP),以促进CoMP联合传输。此外,CP将能量传输到RRH,以提高网络运行效率。所考虑的资源分配算法设计被公式化为一个非凸优化问题,在多个信息接收器处具有最低要求的信号干扰加噪声比(SINR)约束,而在能量收集接收器处具有最低要求的功率传输约束。通过优化CP处的发射波束成形矢量以及CP和RRH之间的能量共享,我们旨在共同最小化每个回程链路的总网络发射功率和最大容量消耗。由此产生的非凸优化问题是NP-困难的。鉴于问题的棘手性,我们将非凸目标函数替换为其凸包,从而重新构造了该函数,从而可以推导高效的迭代资源分配算法。在每次迭代中,通过半定规划(SDP)松弛来解决非凸优化问题,并且所提出的迭代算法收敛到原始问题的局部最优解。仿真结果表明,与完全协作相比,我们提出的算法实现了接近最佳的性能,并显着降低了回程容量消耗。此外,与具有多个天线并置的传统系统相比,考虑到功耗,所考虑的CoMP网络显示出可提供出色的系统性能。

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