39 citations · 58 across the 13 of their papers we have counts for
3 papers · 1 filter
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Emre Ozfatura, Yulin Shao, Amin Ghazanfari +3
Deep neural network (DNN)-assisted channel coding designs, such as low-complexity neural decoders for existing codes, or end-to-end neural-network-based auto-encoder designs are ga…
All you need is feedback: Communication with block attention feedback codes
Emre Ozfatura, Yulin Shao, Alberto Perotti +2
Deep learning based channel code designs have recently gained interest as an alternative to conventional coding algorithms, particularly for channels for which existing codes do no…
AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications
Yulin Shao, Emre Ozfatura, Alberto Perotti +2
Ultra-reliable short-packet communication is a major challenge in future wireless networks with critical applications. To achieve ultra-reliable communications beyond 99.999%, this…