THz-band, Tbps MIMO Communications: A Joint Data Detection and Decoding Framework

Hakim Jemaa, Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Efficient data detection and decoding are addressed under terahertz (THz)-band channel conditions and terabit-persecond (Tbps) baseband processing constraints. We investigate the performance and complexity tradeoffs of candidate data detectors in correlated ultra-massive multiple-input multiple-output (UM-MIMO) THz channels. Under high correlation, channel-matrix puncturing in subspace detectors can significantly reduce computational complexity and introduce much-needed parallelizability. Simulation results demonstrate that subspace detectors outperform conventional detectors in typical line-of-sight-dominated THz channel conditions. We advocate for a joint data detection and decoding framework that does not parallelize channel-code decoders to satisfy stringent Tbps baseband constraints but parallelizes data sources through channel puncturing and adopts short codes instead.
Original languageEnglish (US)
Title of host publication2022 56th Asilomar Conference on Signals, Systems, and Computers
PublisherIEEE
DOIs
StatePublished - Mar 7 2023

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