activity
20102026
most citedA Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

720 citations · 2k across the 85 of their papers we have counts for

collaborators

88 papers

eess.SP2026

Cross-System Neural Precoder: Exploiting Structural Consistency for Fast Adaptation

Jia Guo, Chenyang Yang

Adapting learning-based precoding across different system configurations is challenging due to multiple types of variables and constraints. While large-scale neural networks have b…

eess.SP2026

Positional Attention-based Graph Neural Network for Learning Permutation Non-equivariant Wireless Policies

Baichuan Zhao, Chenyang Yang, Jianyu Zhao +1

Graph neural networks (GNNs) have emerged as a promising approach to learning wireless policies efficiently by leveraging topology prior and incorporating relational inductive bias…

eess.SP2025

Joint Optimization of Pilot Length, Pilot Assignment, and Power Allocation for Cell-free MIMO Systems with Graph Neural Networks

Yao Peng, Tingting Liu, Chenyang Yang

In user-centric cell-free multi-antenna systems, pilot contamination degrades spectral efficiency (SE) severely. To mitigate pilot contamination, existing works jointly optimize pi…

eess.SP2025

Modular PE-Structured Learning for Cross-Task Wireless Communications

Yuxuan Duan, Chenyang Yang

Recent trends in learning wireless policies attempt to develop deep neural networks (DNNs) for handling multiple tasks with a single model. Existing approaches often rely on large…

eess.SP2025

When Attention is Beneficial for Learning Wireless Resource Allocation Efficiently?

Jia Guo, Chenyang Yang

Owing to the use of attention mechanism to leverage the dependency across tokens, Transformers are efficient for natural language processing. By harnessing permutation properties b…

eess.SP2025

Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation

Shengjie Liu, Chenyang Yang

Unsupervised learning has been extensively adopted to train deep neural networks (DNNs) for learning wireless resource allocation. Yet, the performance of DNNs is vulnerable to dis…