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Jan 17, 2014 · The proposed detector achieves a throughput of 1.5 Gbps with only a 0.2 dB performance loss compared to a traditional floating-point detection ...
Feb 25, 2014 · Abstract—A stochastic computing framework for a Markov. Chain Monte Carlo (MCMC) multiple-input–multiple-output. (MIMO) detector is proposed ...
The proposed detector achieves a throughput of 1.5 Gbps with only a 0.2 dB performance loss compared to a traditional floating-point detection method. Our ...
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Among stochastic sampling-based methods, the Markov chain Monte Carlo (MCMC) [13] technique has received broad attention during the past several decades and ...
A Stochastic iterative multiple-input multiple-output (SIM) detection system based on the Markov chain Monte Carlo method, which can achieve a throughput of ...
Aug 12, 2023 · In this work, we propose to efficiently approach optimal detection by exploring the discrete search space via MCMC random walk accelerated by Nesterov's ...
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This paper proposes a novel detection scheme that is based on stochastic sampling, but is fundamentally different from the MCMC detectors. While MCMC follows a ...
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In this paper, we consider a Markov chain Monte Carlo (MCMC) algorithm using Gibbs sampling for signal detection in multiple input multiple output (MIMO) or ...
Abstract—The development of low complexity, high perfor- mance spatial-multiplexing MIMO detectors continues to be an important area of research capable of ...