A Gibbs Sampling Based MAP Detection Algorithm for OFDM Over Rapidly Varying Mobile Radio Channels
Erdal Panayirci, Hakan Dogan, H. Vincent Poor

TL;DR
This paper introduces a low-complexity MAP detection algorithm for OFDM systems in rapidly changing mobile channels, utilizing Gibbs sampling and a banded channel matrix structure to improve performance and reduce complexity.
Contribution
It proposes a novel MAP detection method based on Gibbs sampling that exploits the banded structure of the channel matrix for efficient detection in fast-varying channels.
Findings
Significant performance improvements over existing algorithms.
Reduced computational complexity demonstrated through simulations.
Effective handling of inter-carrier interference in rapid mobility scenarios.
Abstract
In orthogonal frequency-division multiplexing (OFDM) systems operating over rapidly time-varying channels, the orthogonality between subcarriers is destroyed leading to inter-carrier interference (ICI) and resulting in an irreducible error floor. In this paper, a new and low-complexity maximum {\em a posteriori} probability (MAP) detection algorithm is proposed for OFDM systems operating over rapidly time-varying multipath channels. The detection algorithm exploits the banded structure of the frequency-domain channel matrix whose bandwidth is a parameter to be adjusted according to the speed of the mobile terminal. Based on this assumption, the received signal vector is decomposed into reduced dimensional sub-observations in such a way that all components of the observation vector contributing to the symbol to be detected are included in the decomposed observation model. The data…
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · Wireless Communication Networks Research · Error Correcting Code Techniques
