A Performance Analysis Model of TCP over Multiple Heterogeneous Paths for 5G Mobile Services
Jiayang Song, Ping Dong, Huachun Zhou, Tao Zheng, Xiaojiang Du, Mohsen, Guizani

TL;DR
This paper develops a performance analysis model for TCP over multiple heterogeneous paths in 5G, considering link quality asymmetry, to guide the design of multipath transfer protocols.
Contribution
It introduces a novel model that accurately predicts TCP performance over diverse 5G paths, accounting for bandwidth and delay asymmetry.
Findings
Model achieves high accuracy in practical environments
Identifies key factors affecting TCP performance over heterogeneous links
Provides criteria for optimal number of paths in 5G scenarios
Abstract
Driven by the primary requirement of emerging 5G mobile services, the demand for concurrent multipath transfer (CMT) is still prominent. Yet, multipath transport protocols are not widely adopted and TCP-based CMT schemes will still be in dominant position in 5G. However, the performance of TCP flow transferred over multiple heterogeneous paths is prone to the link quality asymmetry, the extent of which was revealed to be significant by our field investigation. In this paper, we present a performance analysis model for TCP over multiple heterogeneous paths in 5G scenarios, where both bandwidth and delay asymmetry are taken into consideration. The evaluation adopting parameters from field investigation shows that the proposed model can achieve high accuracy in practical environments. Some interesting inferences can be drawn from the proposed model, such as the dominant factor that affect…
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Software-Defined Networks and 5G · Advanced Wireless Network Optimization
