中继协作网络中基于空间信道配对的最大比合并算法

摘要

To improve the reliable performance of information transmission in cooperative relay networks, the scheme of the max-rate spatial channel pairing ( SCP ) based on maximum ratio combining ( MRC ) is proposed. The scheme includes three steps: channel phase cancellation, MRC, and SCP. Eventually, the solution of the scheme is modeled as convex optimization. The objective function of the optimization problem is to maximize the transmission rate and the optimization variable is the strategy of pairing between the uplink spatial sub-channels of each user and the corresponding downlink spatial ones. The theorem of the arrangement inequalities is adopted to obtain the approximate closed-form solution of the optimal pairing for this convex optimization. Simulation results demonstrate that compared to the existing distributed space-time block coding and coherent combined schemes without SCP, the proposed max-rate SCP plus MRC algorithm achieves appreciable improvements in symbol error rate in medium and high signal-to-noise ratio regimes. The achievable performance gain is due to the use of max-rate SCP.%为了提高中继协作网络中信息传输的可靠性，提出了基于最大比合并的速率最大化空间信道配对的方案。该方案包括3个步骤：信道相位消除、最大比合并和空间信道配对。将该方案建模为凸优化问题，优化的目标函数是最大化传输速率，优化变量为每个用户上行链路的空间子信道与其相应的下行链路的空间子信道的配对策略。采用排序不等式定理推导并获得了该优化问题的最优空间信道配对解的近似闭合表达式。仿真结果表明，相比于已有的分布式空时分组码和相干合并的方法，所提出的基于空间信道配对的最大比合并算法的符号误码率性能在中、高信噪比区间获得了明显的提高，此性能的提高归功于所提方法充分利用了空间信道配对增益。