activity
20112023
most citedBase Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

192 citations · 760 across the 38 of their papers we have counts for

collaborators

38 papers

cs.IT2023

Joint User Association and Transmission Scheduling in Integrated mmWave Access and Terahertz Backhaul Networks

Lei Wang, Bo Ai, Yong Niu +4

Terahertz wireless backhaul is expected to meet the high-speed backhaul requirements of future ultra-dense networks using millimeter-wave (mmWave) base stations (BSs). In order to…

cs.IT2023

Joint Design of Access and Backhaul in Densely Deployed MmWave Small Cells

Ziqi Guo, Yong Niu, Shiwen Mao +4

With the rapid growth of mobile data traffic, the shortage of radio spectrum resource has become increasingly prominent. Millimeter wave (mmWave) small cells can be densely deploye…

cs.RO2023★ 24 cited

Exploiting Radio Fingerprints for Simultaneous Localization and Mapping

Ran Liu, Billy Pik Lik Lau, Khairuldanial Ismail +6

Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments,…

cs.NI2023★ 1 cited

Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks

Xuefei Li, Mingzhe Chen, Yuchen Liu +3

In this paper, the problem of joint communication and sensing is studied in the context of terahertz (THz) vehicular networks. In the studied model, a set of service provider vehic…

cs.LG2023

Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling

Yuxi Zhao, Xiaowen Gong, Shiwen Mao

Federated learning (FL) has emerged as a promising paradigm that trains machine learning (ML) models on clients' devices in a distributed manner without the need of transmitting cl…

cs.AI2023

Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction

Jianhang Zhu, Rongpeng Li, Xianfu Chen +3

The surging demand for high-definition video streaming services and large neural network models (e.g., Generative Pre-trained Transformer, GPT) implies a tremendous explosion of In…