Federated Learning Based Proactive Handover in Millimeter-wave Vehicular Networks

Proactive handover can avoid frequent handovers and reduce handover delay, which plays an important role in maintaining the quality of service (QoS) for mobile users in millimeter-wave vehicular networks. To reduce the communication cost of training the learning model for proactive handover, we prop...

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Bibliographic Details
Published in:arXiv.org 2021-01
Main Authors: Kaiqiang Qi, Liu, Tingting, Yang, Chenyang
Format: Article
Language:English
Subjects:
Federated learning
Millimeter waves
Quality of service architectures
Storage capacity
Vehicles
Online Access:Get full text
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Summary:Proactive handover can avoid frequent handovers and reduce handover delay, which plays an important role in maintaining the quality of service (QoS) for mobile users in millimeter-wave vehicular networks. To reduce the communication cost of training the learning model for proactive handover, we propose a federated learning (FL) framework. The proposed FL framework can accommodate the limited storage capacity of each user, increase the number of users who participate in the FL, and adapt to the dynamic mobility pattern. Simulation results validate the effectiveness of the proposed FL framework. Compared to reactive handover schemes, the proposed handover scheme can reduce unnecessary handovers and improve the QoS of users simultaneously.
ISSN:2331-8422