research-article

SoftH: soft handover multicriteria mechanism

Authors:

Guilherme R. M. de Oliveira,

Carlos Renato Storck,

Fátima Duarte-FigueiredoAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 2422 - 2429

https://doi.org/10.1145/3297280.3297519

Published: 08 April 2019 Publication History

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Abstract

The fifth generation (5G) cellular network is seen as a new disruptive technology. The handover decision process, characterized by a cell coverage, needs to be improved. This work presents SoftH: a software defined network (SDN) based handover decision multicriteria mechanism. The new mechanism aims to achieve a high assertiveness of the cell transfer decisions, centering all decisions on the SDN controller. Several components relevant to the handover decision are analyzed together. The tool chosen to simulate the network solution was the Network-Simulator 3 (ns-3), together with the OpenFlow 1.3 module for ns-3 (OFSwitch13). Scenarios were simulated and the results showed that the SoftH mechanism could improve the handover process.

References

[1]

T. Abreu, B. Baynat, M. Gachaoui, T. Jiménez, and N. Nya. 2015. Comparative Study of LTE Simulations with the Ns-3 and the Vienna Simulators. In Proceedings of the 8th International Conference on Simulation Tools and Techniques (SIMUTools '15). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 55--63.

Digital Library

Google Scholar

[2]

L. Chaves, V. Eichemberger, I. Garcia, and E. Madeira. 2015. Integrating OpenFlow to LTE: Some issues toward software-defined mobile networks. In 2015 7th International Conference on New Technologies, Mobility and Security (NTMS). IEEE, Paris, France, 1--5.

Google Scholar

[3]

F. Huang and T. Shang. 2013. The Effect of Hexagonal Grid Topology on the Throughput Benefit of Network Coding. In 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing. IEEE, Beijing, China, 580--584.

Digital Library

Google Scholar

[4]

F. H. Khan and M. Portmann. 2016. A system-level architecture for software-defined LTE networks. In 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS). IEEE, Gold Coast, QLD, Australia, 1--10.

Google Scholar

[5]

M. Lauridsen, L. C. Gimenez, I. Rodriguez, T. B. Sorensen, and P. Mogensen. 2017. From LTE to 5G for Connected Mobility. IEEE Communications Magazine 55, 3 (March 2017), 156--162.

Digital Library

Google Scholar

[6]

ns 3. 2011. Design Documentation - LTE Module. Retrieved Nov 28, 2018 from https://www.nsnam.org/docs/models/html/lte-design.html#sec-handover-algorithm

Google Scholar

[7]

ONF. 2018. SDN Technical Specifications. Retrieved Nov 28, 2018 from https://www.opennetworking.org/software-defined-standards/specifications

Google Scholar

[8]

M. Polese, M. Mezzavilla, and M. Zorzi. 2016. Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration. In Proceedings of the 9th EAI International Conference on Simulation Tools and Techniques (SIMUTOOLS'16). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 118--123. http://dl.acm.org/citation.cfm?id=3021426.3021445

Digital Library

Google Scholar

[9]

J. Prados-Garzon, O. Adamuz-Hinojosa, P. Ameigeiras, J. J. Ramos-Munoz, P. Andres-Maldonado, and J. M. Lopez-Soler. 2016. Handover implementation in a 5G SDN-based mobile network architecture. In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, Valencia, Spain, 1--6.

Google Scholar

[10]

E. C.Rolin, H. T. Filho, J. R. Descardeci, T. S. Otobo, and T. Jackiu. 2014. Mobile Coverage in Curitiba, Brazil: Methodology for Measuring the Quality of Services Using LTE. In 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies. IEEE, Oxford, UK, 192--196.

Digital Library

Google Scholar

[11]

Y. Wang, G. Huang, and Y. Tung. 2014. A handover prediction mechanism based on LTE-A UE history information. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, Jeju, South Korea, 1--5.

Google Scholar

[12]

J. Xu, Y. Zhao, and X. Zhu. 2014. Mobility model based handover algorithm in LTE-Advanced. In 2014 10th International Conference on Natural Computation (ICNC). IEEE, Xiamen, China, 230--234.

Google Scholar

Cited By

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Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
https://doi.org/10.3390/app11178117
Storck Cde O. Lousada Ede O. Silva GMini RDuarte-Figueiredo F(2020)FiVH: A solution of inter-V-Cell handover decision for connected vehicles in ultra-dense 5G networksVehicular Communications10.1016/j.vehcom.2020.100307(100307)Online publication date: Sep-2020
https://doi.org/10.1016/j.vehcom.2020.100307

Index Terms

SoftH: soft handover multicriteria mechanism
1. Networks

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Published In

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2019

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SAC '19

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SIGAPP

SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
https://doi.org/10.3390/app11178117
Storck Cde O. Lousada Ede O. Silva GMini RDuarte-Figueiredo F(2020)FiVH: A solution of inter-V-Cell handover decision for connected vehicles in ultra-dense 5G networksVehicular Communications10.1016/j.vehcom.2020.100307(100307)Online publication date: Sep-2020
https://doi.org/10.1016/j.vehcom.2020.100307

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New Approach for Mobility Management in Openflow/Software-Defined Networks

A novel location management in IP-based cellular networks

Handover oscillation reduction in ultra-dense heterogeneous cellular networks using enhanced handover approach