collaborators

10 papers

cs.IT2026

Bounded Deep Unfolding for Joint Beamforming and Scheduling in Multi-Cell MIMO Networks

Jiansheng Li, Shuqi Chai, Fan Xu +4

This paper investigates the joint resource block group (RBG) scheduling and beamforming optimization problem for weighted sum-rate (WSR) maximization in multi-cell multiuser multip…

cs.NI2026

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction

Xiaojie Li, Zhijie Cai, Nan Qi +5

The expansion of the low-altitude economy has underscored the significance of Low-Altitude Network Coverage (LANC) prediction for designing aerial corridors. While accurate LANC fo…

cs.DC2026

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding

Yuchen Li, Rui Kong, Zhonghao Lyu +11

Deploying large language models (LLMs) in mobile and edge computing environments is constrained by limited on-device resources, scarce wireless bandwidth, and frequent model evolut…

cs.CY2025

Joint Sensing, Communication, and Computation for Vertical Federated Edge Learning in Edge Perception Network

Xiaowen Cao, Dingzhu Wen, Suzhi Bi +4

Combining wireless sensing and edge intelligence, edge perception networks enable intelligent data collection and processing at the network edge. However, traditional sample partit…

eess.SP2025

Trajectory Design for UAV-Based Low-Altitude Wireless Networks in Unknown Environments: A Digital Twin-Assisted TD3 Approach

Jihao Luo, Zesong Fei, Xinyi Wang +4

Unmanned aerial vehicles (UAVs) are emerging as key enablers for low-altitude wireless network (LAWN), particularly when terrestrial networks are unavailable. In such scenarios, th…

cs.IT2025

Low-Complexity Hybrid Beamforming for Multi-Cell mmWave Massive MIMO: A Primitive Kronecker Decomposition Approach

Teng Sun, Guangxu Zhu, Xiaofan Li +2

To circumvent the high path loss of mmWave propagation and reduce the hardware cost of massive multiple-input multiple-output antenna systems, full-dimensional hybrid beamforming i…