209 citations · 332 across the 17 of their papers we have counts for
17 papers
Semantics-Division Duplexing: A Novel Full-Duplex Paradigm
Kai Niu, Zijian Liang, Chao Dong +3
In-band full-duplex (IBFD) is a theoretically effective solution to increase the overall throughput for the future wireless communications system by enabling transmission and recep…
A Golden Decade of Polar Codes: From Basic Principle to 5G Applications
Kai Niu, Ping Zhang, Jincheng Dai +2
After the pursuit of seventy years, the invention of polar codes indicates that we have found the first capacity-achieving coding with low complexity construction and decoding, whi…
Improved Nonlinear Transform Source-Channel Coding to Catalyze Semantic Communications
Sixian Wang, Jincheng Dai, Xiaoqi Qin +3
Recent deep learning methods have led to increased interest in solving high-efficiency end-to-end transmission problems. These methods, we call nonlinear transform source-channel c…
Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Coding
Jincheng Dai, Sixian Wang, Ke Yang +5
The emerging field semantic communication is driving the research of end-to-end data transmission. By utilizing the powerful representation ability of deep learning models, learned…
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding
Jincheng Dai, Ping Zhang, Kai Niu +3
Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable co…
Perceptual Learned Source-Channel Coding for High-Fidelity Image Semantic Transmission
Jun Wang, Sixian Wang, Jincheng Dai +3
As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep JSCC) method is emerging in both deep learni…