Soft-Output Finite Alphabet Equalization for mmWAVE Massive MIMO
Oscar Casta\~neda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein,, Christoph Studer

TL;DR
This paper introduces an improved finite-alphabet equalization method with soft-output capabilities for mmWave massive MU-MIMO systems, achieving high performance with low-bit quantization to reduce power and complexity.
Contribution
It develops an unbiased estimation and soft-output computation approach for finite-alphabet equalization in coded mmWave MU-MIMO systems, enhancing performance with minimal quantization bits.
Findings
Soft-output finite-alphabet equalization performs well with 1-3 bits per matrix entry.
The method achieves competitive error rates in challenging mmWave channels.
Simulation results validate the efficiency of the proposed approach.
Abstract
Next-generation wireless systems are expected to combine millimeter-wave (mmWave) and massive multi-user multiple-input multiple-output (MU-MIMO) technologies to deliver high data-rates. These technologies require the basestations (BSs) to process high-dimensional data at extreme rates, which results in high power dissipation and system costs. Finite-alphabet equalization has been proposed recently to reduce the power consumption and silicon area of uplink spatial equalization circuitry at the BS by coarsely quantizing the equalization matrix. In this work, we improve upon finite-alphabet equalization by performing unbiased estimation and soft-output computation for coded systems. By simulating a massive MU-MIMO system that uses orthogonal frequency-division multiplexing and per-user convolutional coding, we show that soft-output finite-alphabet equalization delivers competitive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Advanced Wireless Communication Techniques
