This paper is published in Volume-2, Issue-5, 2016
Area
Computer Networks
Author
Neetika Lalotra, Devasheesh Sharma
Org/Univ
Punjabi University Patiala, India
Pub. Date
03 September, 2016
Paper ID
V2I5-1142
Publisher
Keywords
Call admission control, bandwidth allocation, bandwidth sharing, Multi-cell division.

Citationsacebook

IEEE
Neetika Lalotra, Devasheesh Sharma. Call Admission Control (CAC) with Load Balancing Approach for the WLAN Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Neetika Lalotra, Devasheesh Sharma (2016). Call Admission Control (CAC) with Load Balancing Approach for the WLAN Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 2(5) www.IJARIIT.com.

MLA
Neetika Lalotra, Devasheesh Sharma. "Call Admission Control (CAC) with Load Balancing Approach for the WLAN Networks." International Journal of Advance Research, Ideas and Innovations in Technology 2.5 (2016). www.IJARIIT.com.

Abstract

-- The cell migrations take place between the different network operators, and require the significant information exchange between the operators to handle the migratory users. The new user registration requires the pre-shared information from the user’s equipment, which signifies the user recognition before registering the new user over the network. In this thesis, the proposed model has been aimed at the development of the new call admission control mechanism with the sub-channel assignment. The very basic utilization of the proposed model is to increase the number of the users over the given cell units, which is realized by using the sub-channel assignment to the users of the network. The proposed model is aimed at solving the issue by assigning the dual sub channels over the single communication channel. Also the proposed model is aimed at handling the minimum resource users by incorporating the load balancing approach over the given network segment. The load balancing approach shares the load of the overloaded cell with the cell with lowest resource utilization. The proposed model performance has been evaluated in the various scenarios and over all of the BTS nodes. The proposed model results have been obtained in the form of the resource utilization, network load, transmission delay, consumed bandwidth and data loss. The proposed model has shown the efficiency obtained by using the proposed call admission control (CAC) along with the new load balancing mechanism. The proposed model has shown the robustness of the proposed model in handling the cell overloading factors.