The study of a new Call Admission Control method based on self-similar traffic

2012 ◽  
Author(s):  
Yanpu Hu ◽  
Wenfu Yang ◽  
Yong Wang ◽  
Ying Dong
Keyword(s):  
Admission Control ◽  
Call Admission Control ◽  
Control Method ◽  
Call Admission ◽  
Self Similar

Probabilistic Access Based Call Admission Control in Multi-Traffic CDMA System

2012 ◽  
Vol 468-471 ◽  
pp. 2740-2744
Author(s):  
Xing Guo Luo ◽  
Shan Shan Wang ◽  
Peng Li
Keyword(s):  
Admission Control ◽  
Call Admission Control ◽  
Resource Reservation ◽  
Cdma System ◽  
Radio Resource ◽  
Call Admission ◽  
Self Similar ◽  
Cdma Systems

An efficient Call Admission Control (CAC) arithmetic is essential to guarantee QoS for enhancing the utilization of radio resource in multi-traffic CDMA systems. This paper presents a Multi-Class Services Dynamic Mixed Judgment CAC arithmetic. This arithmetic judges a new coming call whether to accept or not based on the remaining resource, the priority of all services and the resource reservation for high priority. When self-similar service is coming, it uses probabilistic access. The results show that this arithmetic can keep better performance.

A NEW CALL ADMISSION CONTROL METHOD BASED ON THE ESTIMATION OF THE LOST CELL

1999 ◽  
Vol 09 (05n06) ◽  
pp. 321-338
Author(s):  
LÁSZlÓ PAP ◽  
SÁNDOR IMRE
Keyword(s):  
Admission Control ◽  
Call Admission Control ◽  
Control Method ◽  
Asynchronous Transfer Mode ◽  
Cell Loss ◽  
Mean Value ◽  
Network Resources ◽  
Call Admission ◽  
Leading Role ◽  
Chernoff Bound

Due to the capability to serve a large number and various types of user traffic, ATM (Asynchronous Transfer Mode) networks are going to be the leading role in telecommunications in the immediate future. To guarantee high quality communications for a lot of customers and efficient use of network resources, the ATM network management has to contain appropriate Call Admission Control (CAC) algorithms. Choosing suitable network and user models, the CAC problem can be traced back to statistical inequalities. This paper introduces a CAC technique based on the Mean Value of the Lost Cells (MVLC) instead of using Cell Loss Probability that follows Gaussian approach. Two methods are presented which are able to estimate efficiently the MVLC. These methods are based on special transformation of the Chernoff bound.

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