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In this work we propose a new recursive block decoding method for MIMO systems. A complexity reduction is obtained compared to existing methods by avoiding the exhaustive decoding on one block. We propose the use of a semi-exhaustive search using a list composed of the Maximum Likelihood (ML) solution and its neighborhoods. We show through error probability derivation that we can achieve the full...
In practical communication systems and realistic radio applications, there are throughput and latency restraints that have to be fulfilled together with a fixed hardware decoding complexity constraint that should be satisfied. Because of these requirements, in some bad channel realizations, a guaranteed throughput needs to be enforced with a premature end of the decoding process at the expense of...
In this work, we revisit the structure of weight matrices for Linear Dispersion STBCs to admit ML decoding with low-complexity. We first propose novel sufficient design criteria for linear STBCs considering an arbitrary number of antennas and an arbitrary coding rate. Then we apply the derived criteria to three families of codes, multi-group decodable, fast decodable, and fast-group decodable codes...
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