Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications
Abstract
This is the second part of a two-part paper that focuses on link-adaptation (LA) and physical layer (PHY) abstraction for multi-user MIMO (MU-MIMO) systems with non-linear receivers. The first part proposes a new metric, called bit-metric decoding rate (BMDR) for a detector, as being the equivalent of post-equalization signal-to-interference-noise ratio (SINR) for non-linear receivers. Since this BMDR does not have a closed form expression, a machine-learning based approach to estimate it effectively is presented. In this part, the concepts developed in the first part are utilized to develop novel algorithms for LA, dynamic detector selection from a list of available detectors, and PHY abstraction in MU-MIMO systems with arbitrary receivers. Extensive simulation results that substantiate the efficacy of the proposed algorithms are presented.
Cite
@article{arxiv.2203.06273,
title = {Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications},
author = {K. Pavan Srinath and Jakob Hoydis},
journal= {arXiv preprint arXiv:2203.06273},
year = {2022}
}
Comments
This is the second part of a two-part paper. This part has 30 pages, 3 tables, and 11 figures. The first part is titled "Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory". This version has been significantly revised