基于边动态调度的多用户大规模SM-MIMO消息传递检测
Edge-based dynamic scheduling for message passing detection of large-scale SM-MIMO system
  
DOI:
中文关键词:  消息传递检测;空间调制;大规模MIMO;边动态调度
英文关键词:message passing detection (MPD); spatial modulation; large scale multiple input multiple output (MIMO); edge dynamic scheduling
基金项目:江苏省高等学校自然科学研究项目(20KJB510034)、南京邮电大学宽带无线通信与传感网技术教育部重点实验室开放研究基金(JZNY202112)和南京邮电大学国家自然科学基金孵化项目(NY219073)资助项目
作者单位
张顺外 南京邮电大学 通信与信息工程学院,江苏 南京 210003;南京邮电大学 宽带无线通信与传感网技术教育部重点实验室,江苏 南京 210003 
邹 鑫 南京邮电大学 通信与信息工程学院,江苏 南京 210003 
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中文摘要:
      消息传递检测(Message Passing Detection, MPD)算法是一种基于置信度传播的检测算法,非常适用于多用户大规模空间调制多输入多输出(Spatial Modulation Multiple Input Multiple Output, SM MIMO)系统,但传统MPD算法复杂度仍然较高。针对该问题,研究基于边动态调度的MPD算法,根据观测节点与变量节点可靠性,提出基于观测节点可靠性MPD(the Reliability of Observation Nodes MPD, TRON MPD)和基于双节点可靠性MPD(the Reliability of Observation and Variable Nodes MPD, TROVN MPD)两种边动态调度方案,在迭代检测过程中,根据边的可靠性,实现边信息的动态更新,以进一步降低算法复杂度。理论分析与仿真结果表明:与传统MPD算法相比,TRON MPD与TROVN MPD方案均可实现以损失较小误码率性能为代价大幅降低算法复杂度;同时,通过适当设定边动态调度方案的阈值,可在系统误码率与算法复杂度之间取得较好折中。
英文摘要:
      Message passing detection (MPD) is a detection algorithm based on belief propagation. It is suitable for multi user large scale spatial modulation multiple input multiple output (SM MIMO) systems. However, the complexity of the traditional MPD algorithm is high. To solve this problem, this paper investigates the MPD algorithm based on edge dynamic scheduling, and then proposes two dynamic scheduling schemes according to the reliability of observation and variable nodes: a scheme based on the reliability of observation nodes MPD (TRON MPD) and one based on the reliability of observation and variable nodes MPD (TROVN MPD). During the iterative detection, the information of edges is updated based on the reliability of the edges to reduce the complexity. Theoretical analysis and simulation results show that, compared with the traditional MPD algorithm, both the TRON MPD and TROVN MPD schemes can sharply decrease the complexity at the expense of small bit error rate performance. Meanwhile, the better tradeoff can be achieved by setting proper threshold values in the proposed dynamic scheduling schemes.
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