MIMO detection employing Markov Chain Monte Carlo
V.Sundaram, K.P.N.Murthy

TL;DR
This paper introduces a MIMO detection method using Markov Chain Monte Carlo to compute bit reliabilities, balancing performance and complexity for coded systems.
Contribution
It presents a novel MIMO detection scheme employing MCMC for soft-output detection, enhancing performance-complexity trade-offs.
Findings
Effective soft-output detection for MIMO systems.
Suitable for coded MIMO with balanced performance and complexity.
Demonstrates improved reliability in bit detection.
Abstract
We propose a soft-output detection scheme for Multiple-Input-Multiple-Output (MIMO) systems. The detector employs Markov Chain Monte Carlo method to compute bit reliabilities from the signals received and is thus suited for coded MIMO systems. It offers a good trade-off between achievable performance and algorithmic complexity.
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
TopicsAdvanced Wireless Communication Techniques · Age of Information Optimization · Error Correcting Code Techniques
