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Handoff Management Enhancement using Soft Computing Techniques

by Yang Jie, Dheyaa Jasim Kadhim
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 22
Year of Publication: 2013
Authors: Yang Jie, Dheyaa Jasim Kadhim
10.5120/10777-5222

Yang Jie, Dheyaa Jasim Kadhim . Handoff Management Enhancement using Soft Computing Techniques. International Journal of Computer Applications. 64, 22 ( February 2013), 25-30. DOI=10.5120/10777-5222

@article{ 10.5120/10777-5222,
author = { Yang Jie, Dheyaa Jasim Kadhim },
title = { Handoff Management Enhancement using Soft Computing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 22 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number22/10777-5222/ },
doi = { 10.5120/10777-5222 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:20.778530+05:30
%A Yang Jie
%A Dheyaa Jasim Kadhim
%T Handoff Management Enhancement using Soft Computing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 22
%P 25-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In 4G cellular system, due to the mobility, proper handoff or handover management is critical to ensure seamless migration from one cell to another cell. Besides of maintaining the connection quality during a handover process, any advanced handover algorithms which can minimize required resources for the connection are critical. When connections need to migrate between heterogeneous networks for performance and high-availability reasons, seamless vertical handoff (between different access technologies) is a necessary first step. In this paper, we try to simulate vertical handoff with a dynamic decision according to the Received Signal Strength (RSS); and we build a self-learning, self-optimization and self-organization to make the best decision by using Artificial Neural Network (ANN) and Fuzzy Junction Computation (FJC).

References
  1. N. K. H. Choi and H. Yoon, "Seamless Handoff Scheme for 4G Mobile Systems based on IP and OFDM", IEEE Vehicular Technology Conference 2004.
  2. X. Li and R. Salleh, "HandoffTechniques for 4G Wireless Mobile Internet", Information Technology Journal, Vol. 6 No. 5, PP 745-750, 2007.
  3. W. Wang, "Dynamic Priority Queue Handover Scheme for Multiservice", IEEE Vehicular Technology Conference 2008.
  4. S. M. H. Mansur, "Optimal Initiation based Vertical Handover for UMTS-802. 11 WLAN Overlay networks", White Paper, Huawei Technologies 2009.
  5. A. Ulvan, "Handover Scenario and Procedure in LTE-based Femtocell Networks",The 4th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 2010.
  6. J. M. Kang, "Towards Autonomic Handover Decision Management in 4G Networks", Lecture Notes in Computer Science, Vol. 4267, PP 145-157, 2006.
  7. F. L. Lewis, "Neural Network Control of Nonlinear Discrete Time System", Article Book, CRC Press, 1998.
  8. E. Fallon, "TRAWL – A Traffic Route Adapted Weighted Learning Algorithm", Lecture Notes in Computer Science, Vol. 6649, PP 1-14, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Vertical Handoff Received Signal Strength (RSS) Artificial Neural Network (ANN) and Fuzzy junction computation (FJC)

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