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Expectation Propagation Detector for Extra-Large Scale Massive MIMO
IEEE Transactions on Wireless Communications ( IF 8.9 ) Pub Date : 2020-03-01 , DOI: 10.1109/twc.2019.2961892
Hanqing Wang , Alva Kosasih , Chao-Kai Wen , Shi Jin , Wibowo Hardjawana

The order-of-magnitude increase in the dimension of antenna arrays, which forms extra-large-scale massive multiple-input-multiple-output (MIMO) systems, enables substantial improvement in spectral efficiency, energy efficiency, and spatial resolution. However, practical challenges, such as excessive computational complexity and excess of baseband data to be transferred and processed, prohibit the use of centralized processing. A promising solution is to distribute baseband data from disjoint subsets of antennas into parallel processing procedures coordinated by a central processing unit. This solution is called subarray-based architecture. In this work, we extend the application of expectation propagation (EP) principle, which effectively balances performance and practical feasibility in conventional centralized MIMO detector design, to fit the subarray-based architecture. Analytical results confirm the convergence of the proposed iterative procedure and that the proposed detector asymptotically approximates Bayesian optimal performance under certain conditions. The proposed subarray-based EP detector is reduced to centralized EP detector when only one subarray exists. In addition, we propose additional strategies for further reducing the complexity and overhead of the information exchange between parallel subarrays and the central processing unit to facilitate the practical implementation of the proposed detector. Simulation results demonstrate that the proposed detector achieves numerical stability within few iterations and outperforms its counterparts.

中文翻译:

超大规模大规模 MIMO 的期望传播检测器

天线阵列尺寸的数量级增加,形成超大规模的大规模多输入多输出(MIMO)系统,使频谱效率、能量效率和空间分辨率得到显着提高。然而,实际挑战,例如计算复杂度过高以及要传输和处理的基带数据过多,禁止使用集中处理。一个有前景的解决方案是将来自不相交天线子集的基带数据分配到由中央处理单元协调的并行处理程序中。这种解决方案称为基于子阵列的架构。在这项工作中,我们扩展了期望传播(EP)原理的应用,它有效地平衡了传统集中式 MIMO 检测器设计中的性能和实际可行性,以适应基于子阵列的架构。分析结果证实了所提出的迭代程序的收敛性,并且所提出的检测器在某些条件下渐近逼近贝叶斯最优性能。当只存在一个子阵列时,所提出的基于子阵列的 EP 检测器被简化为集中式 EP 检测器。此外,我们提出了额外的策略,以进一步降低并行子阵列和中央处理单元之间信息交换的复杂性和开销,以促进所提出检测器的实际实现。仿真结果表明,所提出的检测器在几次迭代内就达到了数值稳定性,并且优于同类检测器。分析结果证实了所提出的迭代程序的收敛性,并且所提出的检测器在某些条件下渐近逼近贝叶斯最优性能。当只存在一个子阵列时,所提出的基于子阵列的 EP 检测器被简化为集中式 EP 检测器。此外,我们提出了额外的策略,以进一步降低并行子阵列和中央处理单元之间信息交换的复杂性和开销,以促进所提出检测器的实际实现。仿真结果表明,所提出的检测器在几次迭代内就达到了数值稳定性,并且优于同类检测器。分析结果证实了所提出的迭代程序的收敛性,并且所提出的检测器在某些条件下渐近逼近贝叶斯最优性能。当只存在一个子阵列时,所提出的基于子阵列的 EP 检测器被简化为集中式 EP 检测器。此外,我们提出了额外的策略,以进一步降低并行子阵列和中央处理单元之间信息交换的复杂性和开销,以促进所提出检测器的实际实现。仿真结果表明,所提出的检测器在几次迭代内就达到了数值稳定性,并且优于同类检测器。当只存在一个子阵列时,所提出的基于子阵列的 EP 检测器被简化为集中式 EP 检测器。此外,我们提出了额外的策略,以进一步降低并行子阵列和中央处理单元之间信息交换的复杂性和开销,以促进所提出检测器的实际实现。仿真结果表明,所提出的检测器在几次迭代内就达到了数值稳定性,并且优于同类检测器。当只存在一个子阵列时,所提出的基于子阵列的 EP 探测器被简化为集中式 EP 探测器。此外,我们提出了额外的策略,以进一步降低并行子阵列和中央处理单元之间信息交换的复杂性和开销,以促进所提出检测器的实际实现。仿真结果表明,所提出的检测器在几次迭代内就达到了数值稳定性,并且优于同类检测器。
更新日期:2020-03-01
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