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Abstract: Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-to-end image transmission against multiple eavesdroppers. Both scenarios of colluding and ...
Deep Reinforcement Learning for Delay Minimization in MEC-THz Networks with Finite Blocklength codes
Abstract: Communication at terahertz (THz) frequency bands is a promising solution for achieving extremely high data rates in 6G wireless networks while supporting the emerging Ultra-Reliable ...
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