Adaptive MIMO Detector Based on Hypernetwork: Design, Simulation, and Experimental Test
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2021.3126064
Abstract: Algorithm unfolding, which provides a systematic connection between conventional model-based algorithms and modern data-based deep learning, has exhibited great empirical success for efficiently balancing the performance and complexity of multiple-input and multiple-output (MIMO) detectors. However,… read more here.
Keywords: based hypernetwork; mimo detectors; mimo detector; mimo ... See more keywords
Meta Learning-Based MIMO Detectors: Design, Simulation, and Experimental Test
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2020.3030882
Abstract: Deep neural networks (NNs) have exhibited considerable potential for efficiently balancing the performance and complexity of multiple-input and multiple-output (MIMO) detectors. However, existing NN-based MIMO detectors are difficult to be deployed in practical systems because… read more here.
Keywords: meta learning; based mimo; damping factors; new environments ... See more keywords
Low-complexity lattice reduction algorithm for MIMO detectors with tree searching
Sign Up to like & getrecommendations! Published in 2017 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-016-0756-4
Abstract: In this paper, we propose a low-complexity lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) detectors with tree searching. Whereas conventional approaches are based exclusively on channel characteristics, we focus on joint optimisation by employing… read more here.
Keywords: complexity; mimo detectors; low complexity; reduction algorithm ... See more keywords