M
Mohamed Oussama Damen
Researcher at University of Waterloo
Publications - 97
Citations - 5241
Mohamed Oussama Damen is an academic researcher from University of Waterloo. The author has contributed to research in topics: Decoding methods & Block code. The author has an hindex of 23, co-authored 97 publications receiving 5167 citations. Previous affiliations of Mohamed Oussama Damen include University of Alberta & Ohio State University.
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On maximum-likelihood detection and the search for the closest lattice point
TL;DR: A novel algorithm is developed that is inspired by the Pohst enumeration strategy and is shown to offer a significant reduction in complexity compared to the Viterbo-Boutros sphere decoder and is supported by intuitive arguments and simulation results in many relevant scenarios.
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Universal space-time coding
TL;DR: A universal framework is developed for constructing full-rate and full-diversity coherent space-time codes for systems with arbitrary numbers of transmit and receive antennas, which subsumes many of the existing codes in the literature, extends naturally to time- selective and frequency-selective channels, and allows for more flexibility in the tradeoff between power efficiency, bandwidth efficiency, and receiver complexity.
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Lattice coding and decoding achieve the optimal diversity-multiplexing tradeoff of MIMO channels
TL;DR: The class of LAttice Space-Time (LAST) codes are introduced and it is shown that these codes achieve the optimal diversity-multiplexing tradeoff defined by Zheng and Tse under generalized minimum Euclidean distance lattice decoding.
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Diagonal algebraic space-time block codes
TL;DR: A new family of linear space-time block codes is constructed by the combination of rotated constellations and the Hadamard transform, and it is shown that using the proposed codes in a multiantenna system yields good performances with high spectral efficiency and moderate decoding complexity.
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A unified framework for tree search decoding: rediscovering the sequential decoder
TL;DR: The excellent performance-complexity tradeoff achieved by the proposed MMSE-DFE Fano decoder is established via simulation results and analytical arguments in several multiple-input multiple-output (MIMO) and intersymbol interference (ISI) scenarios.