Mobility Management in 4G Networks

Ruby Verma

Mobility Management in 4G Networks

Ruby Verma * §

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Pankaj Garg

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Abstract

Over the past 25 years, the evolution of the internet and the advances of wireless technologies have made a tremendous impact on lifestyle of people around the world. Together, these two factors have changed the way people communicate, work, and get their entertainment. In order to be always best connected for various applications, the network selection procedure in heterogeneous multi-access environment during vertical handover decision is intended to choose the most suitable network for mobile user. In this paper, a performance study using the fuzzy logic concept is done and the integration of UMTS and WiMAX network is taken as an example to show that the proposed vertical handoff decision algorithm is able to determine when a hand off is required, and selects the best access network that is optimized to network conditions, quality of service requirements, received signal strength, bandwidth requirements and user preferences.

References

14 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ruby Verma, Pankaj Garg. 2013. "Mobility Management in 4G Networks". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E7).

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GJCST Volume 13 Issue E7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Fuzzy logic received signal strength UMTS vertical handoff WiMAX

Classification

GJCST-E Classification C.2.5

Submission ReceivedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

June 3, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Ruby Verma, Pankaj Garg (PhD/Dr. count: 0)

View Count (all-time): 403

Total Views (Real + Logic): 3219

Total Downloads (simulated): 158

Publish Date: 2013 01, Tue

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Total Views: 3.2K

Total Downloads: 158

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