46 citations · 192 across the 30 of their papers we have counts for
9 papers · 1 filter
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…
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…
Versatile Semantic Coded Transmission over MIMO Fading Channels
Shengshi Yao, Sixian Wang, Jincheng Dai +2
Semantic communications have shown great potential to boost the end-to-end transmission performance. To further improve the system efficiency, in this paper, we propose a class of…
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…
Towards Semantic Communications: A Paradigm Shift
Kai Niu, Jincheng Dai, Shengshi Yao +4
The last seventy years have witnessed the transition of communication from Shannon's theoretical concept to current high-efficient practical systems. Classical communication system…
Nonlinear Transform Source-Channel Coding for Semantic Communications
Jincheng Dai, Sixian Wang, Kailin Tan +4
In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source distribution under the nonlinear transform, it ca…
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…
Generalized Polarization Transform: A Novel Coded Transmission Paradigm
Bolin Wu, Jincheng Dai, Kai Niu +5
For the upcoming 6G wireless networks, a new wave of applications and services will demand ultra-high data rates and reliability. To this end, future wireless systems are expected…