基于离散随机算法的协同MIMO系统联合迭代功率分配与中继选择

P. Clarke, R. D. Lamare
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引用次数: 11

摘要

在这项工作中,我们提出了一套用于多继电器合作多输入多输出(MIMO)系统的联合功率分配和继电器选择(RS)算法。采用自适应离散随机算法(DSA)生成一个继电器子集,在该子集上运行随机梯度连续功率分配。在具有不可忽略直接路径的译码转发网络中,考虑了最优最小均方误差(MMSE)和自适应接收。对缺乏联合RS和功率分配的系统进行了误码率(BER)比较,表明所提出的方案实现了更快的收敛速度,改善了稳态性能,并且涉及更小维矩阵的操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint iterative power allocation and relay selection for cooperative MIMO systems using discrete stochastic algorithms
In this work, we propose a set of joint power allocation and relay selection (RS) algorithms for multi-relay cooperative multiple-input-multiple-output (MIMO) systems. Adaptive discrete stochastic algorithms (DSA) are used to generate a subset of relays over which stochastic gradient continuous power allocation operates. Optimum minimum mean-square error (MMSE) and adaptive reception are considered in a decode-and-forward (DF) network with a non-negligible direct path. Bit-error-rate (BER) comparisons are given against systems which lack joint RS and power allocation, and the proposed schemes are shown to achieve an increased rate of convergence, improved steady-state performance and involve the manipulation of smaller dimensionality matrices.
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