51 citations · 165 across the 41 of their papers we have counts for
25 papers · 1 filter
Neural Coding Is Not Always Semantic: Toward the Standardized Coding Workflow in Semantic Communications
Hai-Long Qin, Jincheng Dai, Sixian Wang +5
Semantic communication, leveraging advanced deep learning techniques, emerges as a new paradigm that meets the requirements of next-generation wireless networks. However, current s…
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
Jincheng Dai, Xiaoqi Qin, Sixian Wang +3
Information theory and machine learning are inextricably linked and have even been referred to as "two sides of the same coin". One particularly elegant connection is the essential…
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…
Pre-configured Error Pattern Ordered Statistics Decoding for CRC-Polar Codes
Xuanyu Li, Kai Niu, Yuxin Han +3
In this paper, we propose a pre-configured error pattern ordered statistics decoding (PEPOSD) algorithm and discuss its application to short cyclic redundancy check (CRC)-polar cod…
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…
Performance and Construction of Polar Codes: The Perspective of Bit Error Probability
Bolin Wu, Kai Niu, Jincheng Dai
Most existing works of polar codes focus on the analysis of block error probability. However, in many scenarios, bit error probability is also important for evaluating the performa…
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…
Distributed Image Transmission using Deep Joint Source-Channel Coding
Sixian Wang, Ke Yang, Jincheng Dai +1
We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common r…
Joint Successive Cancellation List Decoding for the Double Polar codes
Yanfei Dong, Kai Niu, Jincheng Dai +2
As a new joint source-channel coding scheme, the double polar (D-Polar) codes have been proposed recently. In this letter, a novel joint source-channel decoder, namely the joint su…
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…
Polar-Precoding: A Unitary Finite-Feedback Transmit Precoder for Polar-Coded MIMO Systems
Jinnan Piao, Kai Niu, Jincheng Dai +1
We propose a unitary precoding scheme, namely polar-precoding, to improve the performance of polar-coded MIMO systems. In contrast to the traditional design of MIMO precoding crite…
Learning to Decode Protograph LDPC Codes
Jincheng Dai, Kailin Tan, Zhongwei Si +4
The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear codes. However, the limitation of existing works…
Progressive Rate-Filling: A Framework for Agile Construction of Multilevel Polar-Coded Modulation
Jincheng Dai, Jinnan Piao, Kai Niu
In this letter, we propose a progressive rate-filling method as a framework to study agile construction of multilevel polar-coded modulation. We show that the bit indices within ea…
Sphere Constraint based Enumeration Methods to Analyze the Minimum Weight Distribution of Polar Codes
Jinnan Piao, Kai Niu, Jincheng Dai +1
In this paper, the minimum weight distributions (MWDs) of polar codes and concatenated polar codes are exactly enumerated according to the distance property of codewords. We first…
Polar-Slotted ALOHA over Slot Erasure Channels
Zhijun Zhang, Kai Niu, Jincheng Dai +1
In this paper, we design a new polar slotted ALOHA (PSA) protocol over the slot erasure channels, which uses polar coding to construct the identical slot pattern (SP) assembles wit…
Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity
Fengyi Cheng, Aijun Liu, Jincheng Dai +2
Polar code, with explicit construction and recursive structure, is the latest breakthrough in channel coding field for its low-complexity and theoretically capacity-achieving prope…
Approaching the Finite Blocklength Capacity within 0.025dB by Short Polar Codes and CRC-Aided Hybrid Decoding
Jinnan Piao, Kai Niu, Jincheng Dai +1
In this letter, we explore the performance limits of short polar codes and find that the maximum likelihood (ML) performance of a simple CRC-polar concatenated scheme can approach…
Polar-Coded Non-Orthogonal Multiple Access
Jincheng Dai, Kai Niu, Zhongwei Si +2
Non-orthogonal multiple access (NOMA) is one of the key techniques to address the high spectral efficiency and massive connectivity requirements for the fifth generation (5G) wirel…
Rate-Compatible Punctured Polar Codes: Optimal Construction Based on Polar Spectra
Kai Niu, Jincheng Dai, Kai Chen +3
Polar codes are the first class of constructive channel codes achieving the symmetric capacity of the binary-input discrete memoryless channels. But the corresponding code length i…