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An Approach for Selecting Candidates in Soft-handover Procedure Using Multi-Generating Procedure and Second Grey Relational Analysis

Neng-Yih Shih¹ and Hsing-Chung Chen (Jack Chen)¹

1. Department of Computer Science and Information Engineering, Asia University
   41354 Taichung, Taiwan
   {shih, cdma2000}@asia.edu.tw

Abstract

The objective of this paper is to develop a decision-making approach for selecting candidates in soft-handover procedure in 3th or 4th generation mobile communication through grey relational analysis of the series similarity and approximation. The multi-generating and second grey relational analysis procedure is applied to select candidates in soft-handover procedure with considerations of the velocity and acceleration similarity of multi-generating data. The validation of computer simulation models illustrate how the approach can be applied in candidates selection in soft-handover, and obtain the best results of feasibility and effectiveness for user equipment (UE) in 3th or 4th generation mobile communications. Moreover, the approach could be easily applied to soft-handover procedure for the mobile communication systems. In this proposed approach is performed to select the candidate target cells by UE instead of eNodeB. It could provide a first solution to choose the candidate target cells through comparing multiple measured data for candidate-selecting with the target communication cell.

Key words

generating procedure, grey relational grade, difference generating, candidates selecting, soft-handover, 3G, 4G

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS130930071S

Publication information

Volume 11, Issue 3 (August 2014)
Special Issue on Mobile Collaboration Technologies and Internet Services
Year of Publication: 2014
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Shih, N., Chen), H. C. (.: An Approach for Selecting Candidates in Soft-handover Procedure Using Multi-Generating Procedure and Second Grey Relational Analysis. Computer Science and Information Systems, Vol. 11, No. 3, 1173–1190. (2014), https://doi.org/10.2298/CSIS130930071S