Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond
Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond
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DOI：
10.1145/3447993.3448619
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发表时间：
2021-03
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影响因子：
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通讯作者：
Minsung Kim;S. Mandrà;D. Venturelli;K. Jamieson
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作者：
Minsung Kim;S. Mandrà;D. Venturelli;K. Jamieson
在蜂窝5G新无线电路线图的基站设计以及下一代无线局域网中，克服吞吐量和误码率(BER)性能与计算复杂性之间的传统权衡是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探测器体系结构，首次将物理启发的并行回火算法技术应用于这类问题[28，50，67]。在大型MIMO系统，即基站具有额外射频链的大规模MIMO系统中，Paramax可以获得接近最优最大似然(ML)吞吐量的性能，以接近基站天线的数量，从而支持更多的并行空间流。对于BPSK和QPSK等低阶调制，Paramax能够分别获得接近ML-BER的160×160和80×80的大MIMO性能，只需要不到几十个处理单元。对于海量MIMO系统，在信噪比为16dB时采用16-QAM调制的12×24 MIMO系统中，每个子载波具有4-8个处理单元的Paramax系统吞吐量接近最优的330 Mbit/S，大约是基于线性检测器的海量MIMO系统吞吐量的1.4倍。
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 160 × 160 and 80 × 80 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 12 × 24 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 1.4× throughput than linear detector-based Massive MIMO systems.