5 papers
Volume-Refined Achievability and Converse Approximations for Noisy Permutation Channels
Lugaoze Feng, Guocheng Lv, Xunan Li. +1
We study volume-refined achievability and converse bounds for noisy permutation channels generated by strictly positive DMCs, allowing the reachable output polytope to have arbitra…
Integrated Sensing and Communication: Rate-Distortion Fundamental Limits of State Estimator
Lugaoze Feng, Guocheng Lv, Xunan Li +1
The state-dependent memoryless channel (SDMC) is employed to model the integrated sensing and communication (ISAC) system, where the transmitter conveys messages to the receiver wh…
Large Speech Model Enabled Semantic Communication
Yun Tian, Zhijin Qin, Guocheng Lv +3
Existing speech semantic communication systems mainly based on Joint Source-Channel Coding (JSCC) architectures have demonstrated impressive performance, but their effectiveness re…
New Channel Coding Lower Bounds for Noisy Permutation Channels
Lugaoze Feng, Xunan Li, Guocheng Lv +1
Motivated by the application of point-to-point communication networks and biological storage, we investigate new achievability bounds for noisy permutation channels with strictly p…
New Upper Bounds for Noisy Permutation Channels
Lugaoze Feng, Baoji Wang, Guocheng Lv +3
The noisy permutation channel is a useful abstraction introduced by Makur for point-to-point communication networks and biological storage. While the asymptotic capacity results ex…