Pattern Based Mobility Management in 5G Networks with a Game Theoretic-Jump Markov Linear System Approach

aut.relation.endpage116422
aut.relation.issue99
aut.relation.journalIEEE Access
aut.relation.startpage116410
aut.relation.volume11
dc.contributor.authorChiputa, Masoto
dc.contributor.authorZhang, Minglong
dc.contributor.authorChong, Peter Han Joo
dc.date.accessioned2023-11-08T23:19:55Z
dc.date.available2023-11-08T23:19:55Z
dc.date.issued2023-10-10
dc.description.abstractThe fifth generation (5G) mobile communication adopted the usage of Millimeter Wave (mmWave) bands to ignite prospects of gigabit data rates in mobile networks. However, mmWave propagation is highly susceptible to competing factors of user and topographic dynamics: they formulate irregular cell patterns. The irregularities in mmWave cell patterns cause unreliable connectivity and can instigate unnecessary Handoffs (HOs). This behavior ultimately increases the risk of 5G link failures. To improve mmWave link connectivity hence guarantee continuous connectivity in 5G mobile communication, this paper proposes a HO scheme that predicts target link deterioration patterns to select the most reliable mmWave link for a mobile user. The scheme is based on Game Theory (GT) and Jump Markov Linear Systems (JMLS). JMLSs are known to account for abrupt/erratic changes in system dynamic predictions. We amalgamate GT with JMLS capability to predict target mmWave link pattern/behavior after the HO execution. Specifically, given channel gain and received power variation over distance, the GT-JMLS HO scheme predicts the sustainability of the signal-interference-noise ratio (SINR) pattern of a target link above threshold. This is paramount to reducing the selection of mmWave links that prematurely fail or require multiple HOs to sustain connectivity over a short distance or period. Our simulation results show that our proposed HO scheme offers target links with higher: throughput, energy efficiency, reliability, and longer dwell time between HOs than classical HO schemes.
dc.identifier.citationIEEE Access, ISSN: 2169-3536 (Print); 2169-3536 (Online), Institute of Electrical and Electronics Engineers (IEEE), 11(99), 116410-116422. doi: 10.1109/access.2023.3323022
dc.identifier.doi10.1109/access.2023.3323022
dc.identifier.issn2169-3536
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10292/16892
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urihttps://ieeexplore.ieee.org/document/10278106
dc.rights© 2023 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject4613 Theory Of Computation
dc.subject46 Information and Computing Sciences
dc.subject4006 Communications Engineering
dc.subject40 Engineering
dc.subject7 Affordable and Clean Energy
dc.subject08 Information and Computing Sciences
dc.subject09 Engineering
dc.subject10 Technology
dc.subject40 Engineering
dc.subject46 Information and computing sciences
dc.titlePattern Based Mobility Management in 5G Networks with a Game Theoretic-Jump Markov Linear System Approach
dc.typeJournal Article
pubs.elements-id527367
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