A 46 Gbps 12 pJ/b Sparsity-Adaptive Beamspace Equalizer for mmWave Massive MIMO in 22FDX

IF 4 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems II: Express Briefs Pub Date : 2024-07-10 DOI:10.1109/TCSII.2024.3426551

Seyed Hadi Mirfarshbafan;Christoph Studer

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引用次数: 0

Abstract

We present a GlobalFoundries 22FDX FD-SOI application-specific integrated circuit (ASIC) of a beamspace equalizer for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. The ASIC implements a recently-proposed power-saving technique called sparsity-adaptive equalization (SPADE). SPADE exploits the inherent sparsity of mmWave channels in the beamspace domain to reduce the dynamic power of matrix-vector products by skipping multiplications for which the magnitude of both operands are below pre-defined thresholds. Simulations with realistic mmWave channels show that SPADE incurs less than 0.7 dB SNR degradation at 1% target bit error rate compared to antenna-domain equalization. ASIC measurement results demonstrate an equalization throughput of 46 Gbps and show that SPADE offers up to 38% power savings compared to antenna-domain equalization. A comparison with state-of-the-art massive MIMO equalizer designs reveals that our ASIC achieves superior normalized energy efficiency.

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用于 22FDX 毫米波大规模多输入多输出的 46 Gbps 12 pJ/b 稀疏自适应波束空间均衡器

我们推出了一款 GlobalFoundries 22FDX FD-SOI 专用集成电路 (ASIC)，用于毫米波 (mmWave) 大规模多输入多输出 (MIMO) 系统的波束空间均衡器。该 ASIC 实现了最近提出的一种名为 "稀疏性自适应均衡"（SPADE）的省电技术。SPADE 利用毫米波信道在波束空间域的固有稀疏性，通过跳过两个操作数的幅度均低于预定阈值的乘法，降低矩阵-矢量乘积的动态功率。对现实毫米波信道的仿真表明，与天线域均衡相比，在目标误码率为 1%时，SPADE 造成的信噪比下降不到 0.7 dB。ASIC 测量结果表明，均衡吞吐量为 46 Gbps，与天线域均衡相比，SPADE 可节省高达 38% 的功耗。与最先进的大规模 MIMO 均衡器设计相比，我们的 ASIC 实现了更高的归一化能效。

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来源期刊

IEEE Transactions on Circuits and Systems II: Express Briefs 工程技术-工程：电子与电气

CiteScore

7.90

自引率

20.50%

发文量

883

审稿时长

3.0 months

期刊介绍： TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: Circuits: Analog, Digital and Mixed Signal Circuits and Systems Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic Circuits and Systems, Power Electronics and Systems Software for Analog-and-Logic Circuits and Systems Control aspects of Circuits and Systems.