BROWSE
Detail
Journal Article
Optimal Rate Allocation and QoS-Sensitive Admission Control in Wireless Integrated Networks
Cited 4 time in 
Share 
Share
- Authors
- Hyun M. Shin, Chae Y. Lee
- Issue Date
- 2011-01
- Citation
- Wireless Networks, v.17, no.1, pp.231-246
- ISSN
- 1022-0038
- Publisher
- Springer
- Language
- English
- Type
- Journal Article
- Abstract
- The problem of Call Admission Control and rate allocation in loosely coupled wireless integrated networks is investigated. The related Radio Resource Management schemes were introduced to improve network performance in wireless integrated networks. However, these schemes did not reflect the independence and competitiveness of loosely coupled wireless integrated networks. Furthermore, given that users have different requirements for price and Quality of Service (QoS), they are able to select a network according to their preference. We consider a scenario with two competitive wireless networks, namely Universal Mobile Telecommunications System cellular networks and Wireless Local Area Networks. Users generate two types of traffic with different QoS requirements: real-time and non-real-time. We propose a scheme that exploits a mathematical model for the control of call admission and adopt a noncooperative game theory-based approach to address the rate allocation problem. The purpose is to maximize the revenue of the network providers while guaranteeing a level of QoS according to user needs. Simulation results show that the proposed scheme provides better network performance with respect to packet loss rate, packet delay time, and call-blocking probability than other schemes when the data rates are allocated to each call at the point that maximizes the revenue of network providers. We further demonstrate that a Nash equilibrium always exists for the considered games. © 2010 Springer Science+Business Media, LLC.
- KSP Keywords
- Admission control(AC), Based Approach, Call Admission Control, Cellular networks, Delay Time, Integrated network, Loosely-coupled, Mathematical model, Maximize the revenue, Nash Equilibrium, Network performance