[PhD] BAYESIAN RECEIVER DESIGN AND BEAMFORMING FOR MULTIUSER MIMO THZ COMMUNICATIONS USING PROBABILISTIC GRAPHICAL MODELS AND GRAPH NEURAL NETWORKS
Abstract: Wireless communications in sub-THz and THz bands are considered a key enabler for future 6G networks due to the abundance of unused spectrum and the potential for ultra-massive MIMO (UM-MIMO) systems that achieve terabit-per-second data rates and precise localization. However, challenges such as severe path loss, blockage, hardware impairments,…
