collaborators

14 papers

eess.SP2026

Energy Efficiency Maximization for FAS-Assisted Downlink Communication in Mobile Embodied AI Networks (MEAN) over Interference Channels

Ruopeng Xu, Zhaohui Yang, Jiaxiang Wang +2

In this paper, we investigate a fluid antenna system (FAS)-assisted downlink mobile embodied AI network (MEAN) over interference channels, where multiple base station (BS)-agent pa…

cs.DC2026

ACPSL: Adaptive Communication-Computation Pipeline Parallel Split Learning over Edge Networks

Chenyu Liu, Zhaoyang Zhang, Zirui Chen +3

In wireless edge networks, split learning (SL) enables base station (BS) to utilize the distributed data and computing power across user equipments (UEs) to achieve collaborative m…

eess.SP2026

Synergizing Global Pattern Learning and Time Order Characterization in Mobile Channel Prediction: An RWKV-Based Approach

Zili Wang, Zirui Chen, Ridong Li +2

Owing to the potential to reduce pilot overhead and mitigate channel aging, channel prediction is emerging as an important research topic in wireless communications. Meanwhile, dee…

eess.SP2026

Joint Communication and Computation Design for Mobile Embodied AI Network (MEAN)

Chenliang Wu, Zhouxiang Zhao, Jiaxiang Wang +4

This letter investigates the problem of energy efficient collaborative strategy for mobile embodied artificial intelligence network (MEAN) over wireless communication. In the consi…

eess.SP2026

Geometry-Aided Channel Deduction: A Robust Channel Acquisition Framework Utilizing Coarse Scenario Prompt

Hongning Ruan, Zhaoyang Zhang, Zirui Chen +2

Channel state information (CSI) is critical for multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Pilot-based channel estimation methods suf…

cs.IT2026

Digital Twin Synchronization Over Mobile Embodied AI Network With Agentic Intelligence

Zhouxiang Zhao, Jiaxiang Wang, Yahao Ding +6

Efficient digital twin (DT) synchronization relies on maintaining high-fidelity virtual representations with minimal age of information (AoI). However, the synergistic potential of…

cs.NI2026

Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC

Zhouxiang Zhao, Jiaxiang Wang, Zhaohui Yang +4

The rapid development of agentic artificial intelligence (AI) is driving future wireless networks to evolve from passive data pipes into intelligent collaborative ecosystems under…

eess.SP2026

On Performance of Fluid Antenna Relay (FAR)-Assisted AAV-NOMA Wireless Network

Ruopeng Xu, Songling Zhang, Zhaohui Yang +4

In this paper, we investigate the performance of a fluid antenna relay (FAR)-assisted downlink communication system utilizing non-orthogonal multiple access (NOMA). The FAR, which…

eess.SP2026

Fluid Antenna Relay (FAR)-assisted Communication with Hybrid Relaying Scheme Selection

Ruopeng Xu, Songling Zhang, Zhaohui Yang +3

In this paper, we investigate a fluid antenna relay (FAR)-assisted communication system with hybrid relaying scheme selection. By leveraging statistical channel state information (…

eess.SY2026

Agentic AI-RAN Empowering Synergetic Sensing, Communication, Computing, and Control

Lingxiao Sun, Zhaoyang Zhang, Zihan Lin +4

Future sixth-generation (6G) networks are expected to support low-altitude wireless networks (LAWNs), where unmanned aerial vehicles (UAVs) and aerial robots operate in highly dyna…

eess.SP2025

Hardware-Impaired Over-the-Air Computation with Fluid Antenna Array

Zilong Li, Jianxin Dai, Zhaohui Yang +4

This paper investigates a fluid antenna (FA) array-enhanced over-the-air computation (AirComp) system in the presence of hardware impairments (HWIs), exploiting the new degrees of…

cs.DC2025

Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks

Chenyu Liu, Zhaoyang Zhang, Zirui Chen +1

Split learning (SL) offloads main computing tasks from multiple resource-constrained user equippments (UEs) to the base station (BS), while preserving local data privacy. However,…

cs.IT2025

Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI

Yuxuan Wu, Linghan Ma, Ruichen Zhang +9

Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…

cs.IT2025

Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Fenghao Zhu, Xinquan Wang, Siming Jiang +22

The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligenc…