Class-Based Service Connectivity Using Multi-level Bandwidth Adaptation in Multimedia Wireless Networks
- 183 Downloads
Due to the fact that quality of service requirements are not very strict for all traffic types, more calls of higher priority can be accommodated by reducing some bandwidth allocation for the bandwidth adaptive calls. The bandwidth adaptation to accept a higher priority call is more than that of a lower priority call. Therefore, the multi-level bandwidth adaptation technique improves the overall forced call termination probability as well as provides priority of the traffic classes in terms of call blocking probability without reducing the bandwidth utilization. We propose a novel bandwidth adaptation model that releases multi-level of bandwidth from the existing multimedia traffic calls. The amount of released bandwidth is decided based on the priority of the requesting traffic calls and the number of existing bandwidth adaptive calls. This prioritization of traffic classes does not reduce the bandwidth utilization. Moreover, our scheme reduces the overall forced call termination probability significantly. The proposed scheme is modeled using the Markov Chain. The numerical results show that the proposed scheme is able to provide negligible handover call dropping probability as well as significantly reduced new call blocking probability of higher priority calls without increasing the overall forced call termination probability.
KeywordsMulti-level bandwidth adaptation Priority Traffic class QoS Call blocking probability
This work was supported by the IT R&D program of MKE/KEIT [10035362, Development of Home Network Technology based on LED-ID]. This research was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013057922).
- 1.Chowdhury, M. Z., Uddin, M. S., & Jang, Y. M. (2014). Dynamic channel allocation for class-based QoS provisioning and call admission in visible light communication. The Arabian Journal for Science and Engineering, 39(2), 1007–1016.Google Scholar
- 10.Schwartz, M. (2005). Mobile wireless communications. Cambridge: Cambridge University Press.Google Scholar