5G新无线电及其他无线电中软MIMO检测的物理启发式启发式算法
Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond
摘要：
克服吞吐量和出错率（BER）性能与计算复杂性之间的传统权衡是蜂窝5G新无线电路线图以及下一代无线局域网的基站设计中上行链路多输入多输出（MIMO）检测的长期挑战。在这项工作中，我们提出了ParaMax，这是一种MIMO检测器架构，首次在此类问题上采用物理启发的并行回火算法技术[28，50，67]。ParaMax可以在大型MIMO机制、大规模MIMO系统中实现接近最佳的最大似然（ML）吞吐量性能，其中基站具有额外的RF链，以接近基站天线的数量，以便支持更多的并行空间流。ParaMax能够实现接近ML-BER的性能，分别高达160 x160和80 x80大MIMO，用于低阶调制，如BPSK和QPSK，只需要不到几十个处理元件。对于大规模MIMO系统，在SNR为16 dB的16-QAM的12 × 24 MIMO中，ParaMax在每个子载波4- 8个处理单元的情况下实现了330 Mbits/s的接近最佳的系统吞吐量，这大约是基于线性检测器的大规模MIMO系统的吞吐量的1.4倍。
英文摘要：
Overcoming the conventional trade-off between throughput and bit error rate (BER) performance, versus computational complexity is a long-term challenge for uplink Multiple-Input Multiple-Output (MIMO) detection in base station design for the cellular 5G New Radio roadmap, as well as in next generation wireless local area networks. In this work, we present ParaMax, a MIMO detector architecture that for the first time brings to bear physics-inspired parallel tempering algorithmic techniques [28, 50, 67] on this class of problems. ParaMax can achieve near optimal maximum-likelihood (ML) throughput performance in the Large MIMO regime, Massive MIMO systems where the base station has additional RF chains, to approach the number of base station antennas, in order to support even more parallel spatial streams. ParaMax is able to achieve a near ML-BER performance up to 160x160 and 80x80 Large MIMO for low-order modulations such as BPSK and QPSK, respectively, only requiring less than tens of processing elements. With respect to Massive MIMO systems, in 12x24 MIMO with 16-QAM at SNR 16 dB, ParaMax achieves 330 Mbits/s near-optimal system throughput with 4--8 processing elements per subcarrier, which is approximately 1.4x throughput than linear detector-based Massive MIMO systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
