Problem
Research questions and friction points this paper is trying to address.
multi-subcarrier
massive MU-MIMO-OFDM
beamspace sparsity
frequency-domain correlation
energy efficiency
A 39pJ/b 7.3Gbps 1.3mm$^2$ Multi-Subcarrier Massive MU-MIMO-OFDM Detector Exploiting Beamspace Sparsity and Frequency-Domain Correlation in 22FDX
🤖 AI Summary
该研究通过利用波束空间稀疏性和频域相关性，设计了一种多子载波大规模多用户MIMO-OFDM检测器，实现了面积和功耗的显著降低。
📝 Abstract
We present the first multi-subcarrier massive multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) data detector reported in the open literature. By exploiting the channel's beamspace sparsity and frequency-domain (FD) correlation, we achieve up to 3x area and power reduction. Our design supports U=8 user equipments and B=64 basestation antennas, computes soft outputs for QPSK to 256-QAM, and processes 16 subcarriers in parallel. The fabricated 22FDX ASIC has a core cell area of 1.3mm$^2$, consumes 286mW, and delivers a throughput of 7.3Gbps at 0.8V core voltage, achieving best-in-class energy efficiency of 39pJ/b.
Innovation
Methods, ideas, or system contributions that make the work stand out.
beamspace sparsity
frequency-domain correlation
multi-subcarrier MU-MIMO-OFDM detector
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2024-02-08arXiv.orgCitations: 1
