5 papers
Learning-Based Rich Feedback HARQ for Energy-Efficient Uplink Short Packet Transmission
Martin Voigt Vejling, Federico Chiariotti, Anders Ellersgaard Kalør +3
The trade-off between reliability, latency, and energy efficiency is a central problem in communication systems. Advanced hybrid automated repeat request (HARQ) techniques reduce r…
SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission
Xue Han, Yongpeng Wu, Zhen Gao +4
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission environments. In this paper, we propo…
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs
Deniz Gündüz, Michèle A. Wigger, Tze-Yang Tung +2
Semantic- and task-oriented communication has emerged as a promising approach to reducing the latency and bandwidth requirements of next-generation mobile networks by transmitting…
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
Jingyuan Xia, Zhixiong Yang, Shengxi Li +4
Learning-based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors ar…
Evolving Semantic Communication with Generative Model
Shunpu Tang, Qianqian Yang, Deniz Gündüz +1
Recently, learning-based semantic communication (SemCom) has emerged as a promising approach in the upcoming 6G network and researchers have made remarkable efforts in this field.…