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Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs
In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832922/ https://www.ncbi.nlm.nih.gov/pubmed/31614801 http://dx.doi.org/10.3390/s19204415 |
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author | Kim, Taewoon Chun, Chanjun Choi, Wooyeol |
author_facet | Kim, Taewoon Chun, Chanjun Choi, Wooyeol |
author_sort | Kim, Taewoon |
collection | PubMed |
description | In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the most desirable channel conditions, such strategy can lead to certain BSs being over-populated while leaving remaining BSs under-utilized. In addition, mobile users may encounter frequent handovers, which imposes a non-negligible burden on BSs and users. To reduce the handover overhead while balancing the traffic loads between BSs, we propose an optimal user association strategy for a large-scale mobile Internet of Things (IoT) network operating on C-RAN. We begin with formulating an optimal user association scheme focusing only on the task of load balancing. Thereafter, we revise the formulation such that the number of handovers is minimized while keeping BSs well-balanced in terms of the traffic load. To evaluate the performance of the proposed scheme, we implement a discrete-time network simulator. The evaluation results show that the proposed optimal user association strategy can significantly reduce the number of handovers, while outperforming conventional association schemes in terms of load balancing. |
format | Online Article Text |
id | pubmed-6832922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68329222019-11-25 Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs Kim, Taewoon Chun, Chanjun Choi, Wooyeol Sensors (Basel) Article In networking systems such as cloud radio access networks (C-RAN) where users receive the connection and data service from short-range, light-weight base stations (BSs), users’ mobility has a significant impact on their association with BSs. Although communicating with the closest BS may yield the most desirable channel conditions, such strategy can lead to certain BSs being over-populated while leaving remaining BSs under-utilized. In addition, mobile users may encounter frequent handovers, which imposes a non-negligible burden on BSs and users. To reduce the handover overhead while balancing the traffic loads between BSs, we propose an optimal user association strategy for a large-scale mobile Internet of Things (IoT) network operating on C-RAN. We begin with formulating an optimal user association scheme focusing only on the task of load balancing. Thereafter, we revise the formulation such that the number of handovers is minimized while keeping BSs well-balanced in terms of the traffic load. To evaluate the performance of the proposed scheme, we implement a discrete-time network simulator. The evaluation results show that the proposed optimal user association strategy can significantly reduce the number of handovers, while outperforming conventional association schemes in terms of load balancing. MDPI 2019-10-12 /pmc/articles/PMC6832922/ /pubmed/31614801 http://dx.doi.org/10.3390/s19204415 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Taewoon Chun, Chanjun Choi, Wooyeol Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title | Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title_full | Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title_fullStr | Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title_full_unstemmed | Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title_short | Optimal User Association Strategy for Large-Scale IoT Sensor Networks with Mobility on Cloud RANs |
title_sort | optimal user association strategy for large-scale iot sensor networks with mobility on cloud rans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832922/ https://www.ncbi.nlm.nih.gov/pubmed/31614801 http://dx.doi.org/10.3390/s19204415 |
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