Abstract
A key issue in supporting quality of service (QoS) over wireless networks is to estimate the wireless channel capacity that varies randomly with time and space. In this paper, we propose a new model named effective channel capacity to predict the available channel capacity during any given time interval with the required degree of confidence. By leveraging large deviations techniques, we relate the fading channel capacity with the theory of effective bandwidth and establish a connection between the theory of effective bandwidth and information theory. We derive a set of algorithms and apply them to Nakagami-m fading channels. Consequently, our results provide a foundation for the performance analysis of upper layer algorithms and protocols for QoS provisioning over wireless networks
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
