Mar 10, 2019 · This paper proposes a scalable Gaussian process (GP) framework as a promising solution to achieve large-scale wireless traffic prediction in a ...
Mar 10, 2019 · This paper proposes a scalable Gaussian process (GP) framework as a promising solution to achieve large-scale wireless traffic prediction in a ...
This paper proposes a scalable Gaussian process (GP) framework as a promising solution to achieve largescale wireless traffic prediction in a cost-efficient ...
Abstract—The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent requirements of the fifth generation (5G) wireless systems.
This paper is the first to empower GP regression with the alternating direction method of multipliers (ADMM) for parallel hyper-parameter optimization in ...
Mar 22, 2023 · Based on existing related research, this paper proposes a gradient similarity-based federated aggregation algorithm for wireless traffic ...
The PRB usage curves of three base stations. - ResearchGate
www.researchgate.net › figure › The-PR...
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification ... Process: Framework, Algorithms, and Verification.
Oct 11, 2021 · In this work, we propose a novel wireless traffic prediction framework named Dual Attention-Based Federated. Learning (FedDA), by which a high- ...
Mar 22, 2024 · S. ,. 2019 . Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification . IEEE Journal on Selected ...
Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification ... Process: Framework, Algorithms, and Verification ...