Evaluation of High-speed Train Communication Handover Models Based on DEA

TL;DR

This paper applies Data Envelopment Analysis (DEA) to comprehensively evaluate six high-speed train communication handover models, addressing a gap in systematic assessment methods for these models.

Contribution

It introduces a novel evaluation framework using DEA for comparing high-speed train handover models, which was lacking in prior research.

Findings

DEA effectively evaluates handover models

Identifies the most efficient handover model

Provides insights for improving handover performance

Abstract

Broadband communications for high speed train is becoming a main trend in high mobility communications. The main bottleneck of this communication network is handover, since the handover occurs so frequently and the delays are so long that broadband real-time communication cannot apply. Various handover models have been developed and studied recently. However, no comprehensive evaluation method for these models is employed. To this end, we borrow Data Envelopment Analysis (DEA) method to evaluate six typical handover system models. Handover models that to be evaluated are introduced. A brief presentation of DEA and its characters is provided. A specific procedure of the evaluation is proposed. Then the results of the evaluation are obtained by running the DEA. Finally, we give our comments and conclusions to all the handover models. We hope our work will supply a gap in the system evaluation area.