8 citations · 9 across the 10 of their papers we have counts for
10 papers
Conditional Rate-Distortion-Perception Trade-Off
Xueyan Niu, Deniz Gündüz, Bo Bai +1
Recent advances in machine learning-aided lossy compression are incorporating perceptual fidelity into the rate-distortion theory. In this paper, we study the rate-distortion-perce…
Semantic Compression with Side Information: A Rate-Distortion Perspective
Tao Guo, Yizhu Wang, Jie Han +3
We consider the semantic rate-distortion problem motivated by task-oriented video compression. The semantic information corresponding to the task, which is not observable to the en…
Lossy Computing with Side Information via Multi-Hypergraphs
Deheng Yuan, Tao Guo, Bo Bai +1
We consider a problem of coding for computing, where the decoder wishes to estimate a function of its local message and the source message at the encoder within a given distortion.…
TOSE: A Fast Capacity Determination Algorithm Based on Random Matrix Theory
Dandan Jiang, Han Hao, Lu Yang +3
Wireless network capacity is one of the most important performance metrics for wireless communication networks. Future wireless networks will be composed of extremely large number…
An Efficient Two-Stage SPARC Decoder for Massive MIMO Unsourced Random Access
Juntao You, Wenjie Wang, Shansuo Liang +2
In this paper, we study a concatenate coding scheme based on sparse regression code (SPARC) and tree code for unsourced random access in massive multiple-input and multiple-output…
A Tensor-BTD-based Modulation for Massive Unsourced Random Access
Zhenting Luan, Yuchi Wu, Shansuo Liang +3
In this letter, we propose a novel tensor-based modulation scheme for massive unsourced random access. The proposed modulation can be deemed as a summation of third-order tensors,…
Harmonic Retrieval with -Tucker Tensor Decomposition
Zhenting Luan, Zhenyu Ming, Yuchi Wu +4
Harmonic retrieval (HR) has a wide range of applications in the scenes where signals are modelled as a summation of sinusoids. Past works have developed a number of approaches to r…
Structural Entropy of the Stochastic Block Models
Jie Han, Tao Guo, Qiaoqiao Zhou +3
With the rapid expansion of graphs and networks and the growing magnitude of data from all areas of science, effective treatment and compression schemes of context-dependent data i…
Algorithms for Interference Minimization in Future Wireless Network Decomposition
Péter L. Erdős, Tamás Róbert Mezei, Yiding Yu +3
We propose a simple and fast method for providing a high quality solution for the sum-interference minimization problem. As future networks are deployed in high density urban areas…
What Should Future Wireless Network Architectures Be?
Lu Yang, Ping Li, Miaomiao Dong +5
The accelerated convergence of digital and real-world lifestyles has imposed unprecedented demands on today's wireless network architectures, as it is highly desirable for such arc…