Minimum probability of error for asynchronous Gaussian multiple-access channels
IEEE Transactions on Information Theory
Multiuser Detection
Error Control Coding, Second Edition
Error Control Coding, Second Edition
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Adaptive Bayesian multiuser detection for synchronous CDMA withGaussian and impulsive noise
IEEE Transactions on Signal Processing
On the complexity of sphere decoding in digital communications
IEEE Transactions on Signal Processing
Multiuser detection of synchronous code-division multiple-accesssignals by perfect sampling
IEEE Transactions on Signal Processing
Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems
IEEE Transactions on Signal Processing
A new approach to layered space-time coding and signal processing
IEEE Transactions on Information Theory
On maximum-likelihood detection and the search for the closest lattice point
IEEE Transactions on Information Theory
A unified framework for tree search decoding: rediscovering the sequential decoder
IEEE Transactions on Information Theory
Approaching MIMO capacity using bitwise Markov chain Monte Carlo detection
IEEE Transactions on Communications
Near-optimal detection in MIMO systems using Gibbs sampling
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A scalable VLSI architecture for soft-input soft-output depth-first sphere decoding
IEEE Transactions on Circuits and Systems II: Express Briefs
VLSI Design - Special issue on Flexible Radio Design: Trends and Challenges in Digital Baseband Implementation
A parallel VLSI architecture for Markov chain Monte Carlo based MIMO detection
Proceedings of the 23rd ACM international conference on Great lakes symposium on VLSI
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Multiuser/multiple-input-multiple-output detectors that use Markov chain Monte Carlo (MCMC) simulation techniques to obtain likelihood of information bits have been developed recently. In this paper, we explore the implementation details of one such detector and present an efficient hardware architecture of it. The first step in development of this architecture is to derive a log-domain version of the Gibbs sampler, an efficient method of obtaining samples of MCMC simulator. This formulation is numerically stable and can operate with low precision. The log-domain formulation also lends itself to a hardware architecture that involves only addition, subtraction, and compare operations. Moreover, pipelining is introduced in the proposed architecture straightforwardly. We also explore the word-length requirement of the developed architecture through computer simulations.