User admission maximization based on ressource allocation in wireless networks

Chaari H, Mnif K, Zarai F, Obaidat MS, Kamoun L (2016)


Publication Type: Conference contribution

Publication year: 2016

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2016 IEEE International Conference on Communications, ICC 2016

Event location: Kuala Lumpur MY

ISBN: 9781479966646

DOI: 10.1109/ICC.2016.7511358

Abstract

Given a wireless network topology, a maximum number of users with specified Quality of service QoS requirements, including delay constraints, are allowed to transmit and receive data. Therefore, the best solution is to establish a partition of radio resources that provides a minimum quality for each user in the network. If all users can not be served in the same time, it is important to classify them according to their delay constraints. Also, if a new user requests a new session in the network, some specifications should be considered not only for them but also for the existing users before being involved in the network. The purpose of this paper is to find a solution that maximizes the number of video users by solving the problem of wireless channel partitioning. This solution is based on two main assumptions: calculate the minimum bandwidth required by each video user and interpret the maximum allowed delay constraint guaranteeing QoS requirements. The simulation results show that our proposed method, compared to the fair resource allocation technique, increases significantly the number of served users.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Chaari, H., Mnif, K., Zarai, F., Obaidat, M.S., & Kamoun, L. (2016). User admission maximization based on ressource allocation in wireless networks. In 2016 IEEE International Conference on Communications, ICC 2016. Kuala Lumpur, MY: Institute of Electrical and Electronics Engineers Inc..

MLA:

Chaari, Hekma, et al. "User admission maximization based on ressource allocation in wireless networks." Proceedings of the 2016 IEEE International Conference on Communications, ICC 2016, Kuala Lumpur Institute of Electrical and Electronics Engineers Inc., 2016.

BibTeX: Download