AuthorsD. A. Hayes, D. Ros, Ö. Alay, P. Teymoori and T. M. Vister
TitleInvestigating Predictive Model-Based Control to Achieve Reliable Consistent Multipath mmWave Communication
AfilliationCommunication Systems
Project(s)The Center for Resilient Networks and Applications, Department of Mobile Systems and Analytics
StatusPublished
Publication TypeJournal Article
Year of Publication2022
JournalComputer Communications
Volume194
Pagination29--43
Date Published10/2022
Publisher Elsevier
Keywords5G/6G/+, mmWave, Mobile networks, Multipath, Proxy
Abstract

Millimeter-wave (mmWave) radio is a key building block in 5G and beyond cellular networks. However, mmWave channels are very sensitive to environmental conditions and depend on Line-of-Sight  connections to provide very high data rates. Achieving reliable, consistent communication — i.e., a steady link rate together with low delay — over mmWave links is therefore a challenging problem. The goal of this work is to explore the use of predictive control to manage and simultaneously use multiple available mmWave paths to achieve reliable consistent communication by means of a multipath proxy. We investigate transient solutions of Markov Modulated Fluid Queues (MMFQ) to model the short-term evolution of the proxy’s packet queue, consistent with the use of Markovian models to capture the behavior of mmWave channel blocking. We propose a combination of models that can be solved using newly proposed matrix-analytic techniques in a timely enough manner for use in real-time control. This gives us a prediction, over a short time horizon, of either proxy queue distributions or probabilities of reaching particular proxy buffer levels. Thus, it enables the proxy to make preemptive path decisions in order to maintain a desired Quality of Service. A proof-of-concept simulation study demonstrates the efficacy of our proposed MMFQ-based predictive approach over both static and purely reactive control approaches. Further, we explore the potential benefits of a hybrid approach to path management, combining both predictive and reactive control. This can allow the controller to cater for unforeseen events that cannot be forecast by the predictive controller, mitigating the resulting extra queuing and corresponding delay spikes.

URLhttps://www.sciencedirect.com/science/article/pii/S0140366422002596
DOI10.1016/j.comcom.2022.07.011
Citation Key42554

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