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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

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Showing 2023Show all

6 papers · 1 filter

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…