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The effect of call admission policies on the system benefit of CDMA communication networks
Author(s) -
KuoChung Chu,
Frank YeongSung Lin,
LunPing Hung
Publication year - 2010
Publication title -
telecommunication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 51
eISSN - 1572-9451
pISSN - 1018-4864
DOI - 10.1007/s11235-010-9293-3
Subject(s) - computer science , call admission control , quality of service , admission control , blocking (statistics) , key (lock) , sensitivity (control systems) , computer network , integer programming , power control , optimization problem , distributed computing , mathematical optimization , power (physics) , telecommunications , wireless , wireless network , computer security , physics , mathematics , algorithm , quantum mechanics , electronic engineering , engineering
Previous studies of call admission control (CAC) in mobile communication networks focused on call blocking and call dropping mechanisms. However, achieving global optimization of the system benefit is a complicated process. In this paper, we propose a benefit optimization model that accommodates as many users as possible, while simultaneously maintaining system-wide quality of service (QoS) in terms of admission control. To clarify the CAC concept, we construct a framework of CAC policies, derive associated interference models based on the framework, and then investigate the effects of the policies on the system benefit. In addition, to solve the complicated integer programming problem, we adopt the Lagrangean relaxation approach, and employ Lagrangean multipliers to perform sensitivity analysis of several parameters. The contribution of this study is twofold: the novel problem formulation and the improvement in the system benefit. The computational results demonstrate that the system accrues more benefit as new traffic is loaded and the number of users increases. Meanwhile, the sensitivity analysis shows that proper assignment of the strength of power-controlled signals is a key factor in the global optimization of the system benefit.

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