Performance Evaluation of Quality Metrics for Single and Multi Cell Admission Control with Heterogeneous Traffic in WCDMA Networks

Almugheid, Ashraf T. and Yousef, Sufian and Aboud, Sattar (2014) Performance Evaluation of Quality Metrics for Single and Multi Cell Admission Control with Heterogeneous Traffic in WCDMA Networks. International Journal of Engineering and Technology, 4 (1). ISSN 2049-3444

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Official URL: http://iet-journals.org/archive/2014/jan_vol_4_no_...

Abstract

Call Admission Control(CAC) is one of the various radio resource management (RRM) congestion control functions in WCDMA systems. A lot of call admission control CAC algorithms are being used to keeping the interference below specific threshold level in order to improve the quality of service (QoS) and performance of the system. This paper performs deep analysis and evaluates the comprehensive differences between Single and Multi Cell Call Admission Control (SC-CAC and MC-CAC)algorithms in Wireless Coded Division Multiple Access (WCDMA) networks. MATLAB simulation model of a simple WCDMA system with CAC is implemented and analyzed to make a clear comparison between the two CAC algorithms interms of outage probability, bit error rate (BER) and channel capacity which does not have an exact limit in WCDMA technique. Optimal power allocation water-filling formula is considered to calculate the maximum Shannon capacity over the fading channel. The simulation results show that MC-CAC has better performance scenario than the SC-CAC, therefore a lot of maximum values of capacity of Shannon’s channel as well as minimum values of outage probability can be achieved by performing MC-CAC into the network. As a result this will improve the QoS. Three traffic classes (voice, multimedia and video) have been considered along different outage signal-to-interference ratio (SIR) thresholds. This paper shows that Multi Cell CAC has better features than Single Cell CAC in WCDMA networks.

Item Type: Journal Article
Keywords: WCDMA, QoS, Admission Control, Interference, Outage Probability, Capacity
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Lisa Blanshard
Date Deposited: 18 Jul 2019 09:23
Last Modified: 14 Nov 2019 16:03
URI: http://arro.anglia.ac.uk/id/eprint/704568

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