activity
20212026
most citedAdaptive Modulation for Wobbling UAV Air-to-Ground Links in Millimeter-wave Bands

2 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

eess.SP2026

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks

Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10

Reinforcement Learning (RL) has long been a powerful solution to various problems in communication networks. However, traditional RL models still face with several limitations. Not…

eess.SP2026

Channel Extrapolation for MIMO Systems with the Assistance of Multi-path Information Induced from Channel State Information

Yuan Gao, Xinyi Wu, Jiang Jun +5

Acquiring channel state information (CSI) through traditional methods, such as channel estimation, is increasingly challenging for the emerging sixth generation (6G) mobile network…

cs.NI2024

Wireless-Friendly Window Position Optimization for RIS-Aided Outdoor-to-Indoor Networks based on Multi-Modal Large Language Model

Jinbo Hou, Kehai Qiu, Zitian Zhang +6

This paper aims to simultaneously optimize indoor wireless and daylight performance by adjusting the positions of windows and the beam directions of window-deployed reconfigurable…

cs.NI2024

Interpretable Nonroutine Network Traffic Prediction with a Case Study

Liangzhi Wang, Haoyuan Zhu, Jiliang Zhang +2

This paper pioneers a nonroutine network traffic prediction (NNTP) method to prospectively provide a theoretical basis for avoiding large-scale network disruption by accurately pre…

cs.NI2024

Hyper-parameter Optimization for Wireless Network Traffic Prediction Models with A Novel Meta-Learning Framework

Liangzhi Wang, Jie Zhang, Yuan Gao +5

This paper proposes a novel meta-learning based hyper-parameter optimization framework for wireless network traffic prediction (NTP) models. The primary objective is to accumulate…

cs.NI2023

Analytic Network Traffic Prediction Based on User Behavior Modeling

Liangzhi Wang, Jiliang Zhang, Zitian Zhang +1

This paper proposes an interpretable user-behavior-based (UBB) network traffic prediction (NTP) method. Based on user behavior, a weekly traffic demand profile can be naturally sor…

eess.SP2022★ 2 cited

Adaptive Modulation for Wobbling UAV Air-to-Ground Links in Millimeter-wave Bands

Songjiang Yang, Zitian Zhang, Jiliang Zhang +2

The emerging millimeter-wave (mm-wave) unmanned aerial vehicle (UAV) air-to-ground (A2G) communications are facing the Doppler effect problem that arises from the inevitable wobbli…

cs.IT2022★ 1 cited

Time Efficient Joint UAV-BS Deployment and User Association based on Machine Learning

Bo Ma, Zitian Zhang, Jiliang Zhang +1

This paper proposes a time-efficient mechanism to decrease the on-line computing time of solving the joint unmanned aerial vehicle base station (UAV-BS) deployment and user/sensor…

eess.SP2021

Impact of Rotary-Wing UAV Wobbling on Millimeter-wave Air-to-Ground Wireless Channel

Songjiang Yang, Zitian Zhang, Jiliang Zhang +1

Millimeter-wave rotary-wing (RW) unmanned aerial vehicle (UAV) air-to-ground (A2G) links face unpredictable Doppler effect arising from the inevitable wobbling of RW UAV. Moreover,…