activity
20222025
most citedMixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey

7 citations · 12 across the 9 of their papers we have counts for

collaborators

10 papers

eess.SY2025★ 1 cited

CaFTRA: Frequency-Domain Correlation-Aware Feedback-Free MIMO Transmission and Resource Allocation for 6G and Beyond

Bo Qian, Hanlin Wu, Jiacheng Chen +4

The fundamental designs of wireless systems toward AI-Native 6G and beyond are driven by the need for ever-increasing demand of mobile data traffic, extreme spectral efficiency, an…

cs.NI2025

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Ruichen Zhang, Guangyuan Liu, Yinqiu Liu +10

The rapid expansion of sixth-generation (6G) wireless networks and the Internet of Things (IoT) has catalyzed the evolution from centralized cloud intelligence towards decentralize…

cs.NI2025

Enhancing Wireless Networks for IoT with Large Vision Models: Foundations and Applications

Yunting Xu, Jiacheng Wang, Ruichen Zhang +6

Large vision models (LVMs) have emerged as a foundational paradigm in visual intelligence, achieving state-of-the-art performance across diverse visual tasks. Recent advances in LV…

cs.NI2025★ 7 cited

Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey

Yunting Xu, Jiacheng Wang, Ruichen Zhang +10

Mixture of Experts (MoE) has emerged as a promising paradigm for scaling model capacity while preserving computational efficiency, particularly in large-scale machine learning arch…

cs.AI2024

Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles

Jianzhe Xue, Yunting Xu, Dongcheng Yuan +4

Traffic flow estimation (TFE) is crucial for intelligent transportation systems. Traditional TFE methods rely on extensive road sensor networks and typically incur significant cost…

cs.IT2024★ 1 cited

Leveraging Self-Supervised Learning for MIMO-OFDM Channel Representation and Generation

Zongxi Liu, Jiacheng Chen, Yunting Xu +4

In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless chan…

eess.SP2024

Coverage Analysis of Downlink Transmission in Multi-Connectivity Cellular V2X Networks

Luofang Jiao, Tianqi Zhang, Jiwei Zhao +2

With the increasing of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliable and high-speed cellular vehicle-to-e…

eess.SP2024

Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks

Luofang Jiao, Jiwei Zhao, Yunting Xu +3

With the ever-increasing number of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliability and high-speed demand…

cs.NI2023★ 3 cited

Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN

Yu Sun, Haibo Zhou, Kai Yu +3

The fully-decoupled radio access network (FD-RAN) is an innovative architecture designed for next-generation mobile communication networks, featuring decoupled control and data pla…

eess.SP2022

Spectral Efficiency Analysis of Uplink-Downlink Decoupled Access in C-V2X Networks

Luofang Jiao, Kai Yu, Yunting Xu +4

The uplink (UL)/downlink (DL) decoupled access has been emerging as a novel access architecture to improve the performance gains in cellular networks. In this paper, we investigate…