4 papers
Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Recovery
Didrik Bergström, Deniz Gündüz, Onur Günlü
We consider image transmission via deep joint source-channel coding (DeepJSCC) over multi-hop additive white Gaussian noise (AWGN) channels by training a DeepJSCC encoder-decoder p…
Covert Adversarial Actuators in Finite MDPs
Edoardo David Santi, Gongpu Chen, Deniz Gündüz +1
We consider a Markov decision process (MDP) in which actions prescribed by the controller are executed by a separate actuator, which may behave adversarially. At each time step, th…
Variable-Length Feedback Codes via Deep Learning
Wenwei Lai, Yulin Shao, Yu Ding +1
Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-ti…
A Meta-Learning Based Gradient Descent Algorithm for MU-MIMO Beamforming
Jing-Yuan Xia, Zhixiong Yang, Tong Qiu +2
Multi-user multiple-input multiple-output (MU-MIMO) beamforming design is typically formulated as a non-convex weighted sum rate (WSR) maximization problem that is known to be NP-h…