Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm

Carles Navarro Manchón, Gunvor Elisabeth Kirkelund, Erwin Riegler, Lars P.B. Christensen, Bernard Henri Fleury

Research output: Contribution to journalJournal articleResearch

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Abstract

Iterative information processing, either based on heuristics or
analytical frameworks, has been shown to be a very powerful tool for
the design of efficient, yet feasible, wireless receiver
architectures. Within this context, algorithms performing
message-passing on a probabilistic graph, such as the sum-product
(SP) and variational message passing (VMP) algorithms, have become
increasingly popular.

In this contribution, we apply a combined VMP-SP message-passing
technique to the design of receivers for MIMO-ODFM systems. The
message-passing equations of the combined scheme can be obtained
from the equations of the stationary points of a constrained
region-based free energy approximation. When applied to a MIMO-OFDM
probabilistic model, we obtain a generic receiver architecture
performing iterative channel weight and noise precision estimation,
equalization and data decoding. We show that this generic scheme can
be particularized to a variety of different receiver structures,
ranging from high-performance iterative structures to low complexity
receivers. This allows for a flexible design of the signal
processing specially tailored for the requirements of each specific
application. The numerical assessment of our solutions, based on
Monte Carlo simulations, corroborates the high performance of the
proposed algorithms and their superiority to heuristic approaches.
Original languageEnglish
JournalarXiv.org (e-prints)
Number of pages36
Publication statusPublished - 24 Nov 2011

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