EFFECTIVE ADMISSION CONTROL FOR POWER-CONTROLLED DS-CDMA SYSTEMS

Effective call admission control (CAC) is one of the most important techniques to provide the desired quality of service (QoS) in wireless networks. This paper investigates the call admission control problem for the power-controlled CDMA systems. With a macroscopic description for the power control problem, the call admission control for the power-constrained system is analyzed and an admissibility condition is derived. Based on the derived condition, we propose two CAC algorithms. One is an interactive method that provides the optimum performance, but requires some information exchange between base stations. The other can be implemented in a distributed manner and provide a reasonable performance. Through simulations, we show that the proposed algorithms provide an improved performance.

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Call admission control using dynamic cell virtual traffic in CDMA systems

2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484) ◽

10.1109/vetecf.2003.1286375 ◽

2003 ◽

Cited By ~ 1

Author(s):

M.M. El-Said ◽

A. Kumar ◽

E.E. Bennett ◽

A.N. Foley ◽

T.J. Hillenbrand

Keyword(s):

Admission Control ◽

Call Admission Control ◽

Call Admission ◽

Dynamic Cell ◽

Cdma Systems

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Flexible call admission control schemes for DS-CDMA systems with non-uniform traffics

Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030) ◽

10.1109/tencon.1999.818341 ◽

2003 ◽

Author(s):

Seungjae Bahng ◽

Insoo Koo ◽

Jeongrok Yang ◽

Kiseon Kim

Keyword(s):

Admission Control ◽

Call Admission Control ◽

Call Admission ◽

Control Schemes ◽

Cdma Systems

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A Hybrid Approach to Call Admission Control in 5G Networks

Advances in Fuzzy Systems ◽

10.1155/2018/2535127 ◽

2018 ◽

Vol 2018 ◽

pp. 1-7 ◽

Cited By ~ 3

Author(s):

Mohammed Al-Maitah ◽

Olena O. Semenova ◽

Andriy O. Semenov ◽

Pavel I. Kulakov ◽

Volodymyr Yu. Kucheruk

Keyword(s):

Artificial Intelligence ◽

Quality Of Service ◽

Admission Control ◽

Mobile Communications ◽

Communication Systems ◽

Call Admission Control ◽

Hybrid Approach ◽

5G Networks ◽

Call Admission

Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.

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