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MIMO-OFDM-Based Wireless-Powered Relaying Communication With an Energy Recycling Interface

机译:基于MIMO-OFDM的无线供电与能量回收界面的中继通信

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This paper considers wireless-powered relaying multiple-input-multiple-output (MIMO) communication, where all four nodes (information source, energy source, relay, and destination) are equipped with multiple antennas. Orthogonal frequency division multiplexing (OFDM) is applied for information processing to compensate the frequency selectivity of communication channels between the information source and the relay and between the relay and the destination as these nodes are assumed to be located far apart from each. The relay is equipped with a full-duplexing interface for harvesting energy not only from the wireless transmission of the dedicated energy source but also from its own transmission while relaying the source information to the destination. The problem of designing the optimal power allocation over OFDM subcarriers and transmit antennas to maximize the overall spectral efficiency is addressed. Due to a very large number of subcarriers, this design problem poses a large-scale nonconvex optimization problem involving a few thousand variables of power allocation, which is very computationally challenging. A novel path-following algorithm is proposed for computation. Based on the developed closed-form calculation of linear computational complexity at each iteration, the proposed algorithm rapidly converges to an optimal solution. Compared to the best existing solvers, the computational complexity of the proposed algorithm is reduced at least 10(5) times, making it very efficient and practical for online computation while existing solvers are ineffective. Numerical results for a practical simulation setting show promising results by achieving high spectral efficiency.
机译:本文考虑了无线动力的中继多输入 - 多输出(MIMO)通信,其中所有四个节点(信息源,能源,继电器和目的地)都配备了多个天线。施加正交频分复用(OFDM)用于信息处理,以补偿信息源和中继之间的通信信道的频率选择性,以及在中继和目的地之间,因为这些节点被假设远离每个节点。继电器配备了全双工界面,其不仅可以从专用能源的无线传输而且从其自身传输中继到目的地的同时。针对OFDM子载波的最佳功率分配和发射天线设计以最大化整体谱效率的问题。由于大量的子载波,这种设计问题涉及涉及几千个电力分配变量的大规模非膨胀优化问题,这非常具有挑战性。提出了一种新的路径之后的算法来计算。基于在每次迭代时的线性计算复杂性的开发闭合形式计算,所提出的算法迅速收敛到最佳解决方案。与最佳现有求解器相比,所提出的算法的计算复杂性至少减少了至少10(5)次,使得在线计算具有非常高效和实用,而现有溶剂无效。实际仿真设定的数值结果显示了通过实现高光谱效率的有希望的结果。

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