OMCS-HO: Optimal Mobility Model and Cell Selection Scheme for Handover Management in 5G Small Cells | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article OMCS-HO: Optimal Mobility Model and Cell Selection Scheme for Handover Management in 5G Small Cells Rajesh P, VijayaLakshmi A, Ebenezer Abishek B This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6571318/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract With the accessibility and popularity of wireless services worldwide, mobile connections and applications are expanding at an unprecedented pace, increasing the demand for traffic data. 5G networks are able to cope with high data traffic requirements by managing handovers (HOs) effectively and efficiently. These solutions, however, result in an astronomical number of handovers, resulting in an increase in unnecessary handovers and drop in probability. As mobile users move from cell to cell within the same registration area, HO is an important Quality of Service (QoS) parameter. Also, dense or very dense proliferation of small cells can cause many problems such as delay, HO failures, frequent turnover and ping pong effect. The objective of this work is to propose an optimal mobility model and cell selection scheme to improve user mobility robustness (OMCS-HO) in 5G-HetNets through seamless HO and cell selection. A modified Blowfish Optimization (MPO) algorithm is used to create an optimal motion model by dividing the local region into multiple motion regions. To reduce the effect of horizontal HO, we design an optimized deep belief neural network (O-DBNN) to predict the future movement of mobile users based on the history of their neighbors. For cell selection, we use a local binary search algorithm (LBS) based on various network characteristics and mobile user movements, which selects the best optimal base station. According to simulation results, our OMCS-HO scheme minimizes the number HOs and link failure probability; maximizes the energy efficiency and throughput. handover 5G network heterogeneous network mobility model cell selection Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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