All Papers

We propose a novel neural waveform compression method to catalyze emerging speech semantic communications. By introducing nonlinear …

In this paper, we aim to redesign the vision Transformer (ViT) as a new backbone to realize semantic image transmission, termed …

In this paper, we propose a new class of high-efficiency semantic coded transmission methods for end-to-end speech transmission over …

Semantic communications have shown great potential to boost the end-to-end transmission performance. To further improve the system …

The recent deep learning-based joint source-channel coding (deep JSCC) framework has shown superior performance on end-to-end wireless …

As one novel approach to realize end-to-end wireless image semantic transmission, deep learning-based joint source-channel coding (deep …

Most semantic communication systems leverage deep learning models to provide end-to-end transmission performance surpassing the …

In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video …

To reduce the throughput loss caused by the slot erasure channel (SEC), we propose a polar slotted ALOHA (PSA) framework where the …

Classical communication paradigms focus on accurately transmitting bits over a noisy channel, and Shannon theory provides a fundamental …

The last 70 years have witnessed the transition of communication from Shannon’s theoretical concept to current high-efficiency …

We consider the wireless text transmission using joint source-channel coding (JSCC). Classical source coding only considers the …

In this paper, we derive an upper bound on load-threshold of coded slotted ALOHA (CSA) for slot erasure channel (SEC) and that for …

In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source …

As a new joint source-channel coding scheme, the double polar (D-Polar) codes have been proposed recently. In this letter, a novel …

In this paper, we investigate the joint design and optimization of source-channel polar coding with 2m-ary transmission. A joint …

In this paper, we propose a new class of distributed joint source-channel coding (DJSCC) methods, namely triple polar codes (T-PC), for …

Most existing works of polar codes focus on the analysis of block error probability. However, in many scenarios, bit error probability …

Unsourced multiple access (UMA) is a multi-access technology for massive, low-power, uncoordinated, and unsourced Machine Type …

A deep learning (DL)-based detector utilizing the Transformer framework is proposed for orthogonal frequency-division multiplexing with …

In order to provide ultra low-latency and high energy-efficient communication for intelligences, the sixth generation (6G) wireless …

We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted …

Traditional iterative joint source-channel coding (JSCD) scheme based on soft-in-soft-out (SISO) decoding for arithmetic codes (AC) has …

Multilevel polar-coded modulation with multistage decoding is a capacity-achieving coded modulation scheme. Inthis paper, we propose a …

In this paper, the problem of neural compression based image transmission over wireless channels is studied. Since all procedures are …

For the upcoming 6G wireless networks, a new wave of applications and services will demand ultra-high data rates and reliability. To …

We propose a unitary precoding scheme, namely polar-precoding, to improve the performance of polar-coded MIMO systems. In contrast to …

We propose a rate-filling method as a framework to study fast construction of bit-interleaved polar-coded modulation (BIPCM). In …

The recent development of deep learning methods demonstrates a new insight to optimize the decoding of linear codes. In this paper, we …

In this paper, layered min-sum (MS) iterative decoding is formulated as a customized neural network following the sequential scheduling …

Code construction is a critical issue for polar coding. The expected construction method is of an accurate estimate of the reliability …

In this paper, we propose a framework to attain the integrated design of polar coding and spatial modulation (SM) such that the …

In this letter, we concern the self-decoding capability of polar-coded hybrid automatic repeat request (Polar-HARQ) schemes. The …

In this paper, a novel polar-coded MIMO (PC-MIMO) framework is proposed to enhance the system polar-ization effect so that the …

We propose the progressive rate-filling method as a framework to study agile construction of multilevel polar-coded modulation. We show …

The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear …

The polar neural decoder has a performance improvement at the cost of additional storage and computation. In this letter, we first …

In this paper, we propose a block polarization (BP)scheme as a framework to study polar-coded hybrid automatic repeat request …