NDLI: QoS-controlling soft handoff based on simple step control and a fuzzy inference system with the gradient descent method

Content Provider	IEEE Xplore Digital Library
Author	Homnan, B. Benjapolakul, W.
Copyright Year	1967
Abstract	Quality of service (QoS) is an important criterion considered in mobile communication systems since it directly affects system users in terms of both call blocking and call quality. This paper aims to control the QoS in code-division multiple-access mobile communication systems by proposing two new practical methods applied to the conventional soft handoff (SHO) process based on a simple step-control method and a human-oriented information method of fuzzy inference system with classical mathematics of the gradient descent method. The output parameters selected to be controlled by adapting SHO thresholds are the trunk-resource efficiency (TRE), the forward link's average energy per bit to the interference plus noise power spectral density ratio (E/sub b//I/sub 0/), and the outage probability (P/sub out/). TRE is concerned with call blocking while E/sub b//I/sub 0/ is an indicator of the call quality. The number of the remaining channels of serving base station (CH/sub rm/), the moving average number of pilots in active set of any mobile station (no/sub BS/), and E/sub b//I/sub 0/ is or are selected to be one, two, or three of the control plant inputs, depending on the method applied. QoS-controlling SHO (TRE- and E/sub b//I/sub 0/-controlling SHO) can improve the system performance. However, which method that will be selected for use is according to the environment and the requirement of the system operator and/or users.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	820
Ending Page	834
Page Count	15
File Size	515212
File Format	PDF
ISSN	00189545
Volume Number	53
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control systems Fuzzy control Fuzzy systems Communication system control Quality of service Mobile communication Multiaccess communication Mathematics Interference Signal to noise ratio
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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