5 papers
Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not?
Yi Zhao, Di Yuan, Tao Deng +2
Federated learning (FL) is a key paradigm for distributed model learning across decentralized data sources. Communication in each FL round typically consists of two phases: (i) dis…
Online Learning for Intelligent Thermal Management of Interference-coupled and Passively Cooled Base Stations
Zhanwei Yu, Yi Zhao, Xiaoli Chu +1
Passively cooled base stations (PCBSs) have emerged to deliver better cost and energy efficiency. However, passive cooling necessitates intelligent thermal control via traffic mana…
Robust Divergence Angle for Inter-satellite Laser Communications under Target Deviation Uncertainty
Zhanwei Yu, Yi Zhao, Di Yuan
Performance degradation due to target deviation by, for example, drift or jitter, presents a significant issue to inter-satellite laser communications. In particular, with periodic…
Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing
Zhanwei Yu, Yi Zhao, Tao Deng +2
In sprite the state-of-the-art, significantly reducing carbon footprint (CF) in communications systems remains urgent. We address this challenge in the context of edge computing. T…
Multi-cell Content Caching: Optimization for Cost and Information Freshness
Zhanwei Yu, Tao Deng, Yi Zhao +1
In multi-access edge computing (MEC) systems, there are multiple local cache servers caching contents to satisfy the users' requests, instead of letting the users download via the…