Abstract

The problem of determining admission controls and a path for each admitted user pair (session) to satisfy user quality of service (QOS) requirements (required throughput, tolerable average cell delay, and tolerable cell loss probability) is considered. The problem is formulated as a nonlinear combinatorial optimization problem. The objective is the maximization of the total reward for the admitted sessions where the reward for each session reflects its priority. The emphasis is on developing a real-time distributed algorithm to determine path assignments and admission controls. In computational experiments, the proposed distributed algorithm is compared with the minimum hop algorithm on test networks with up to 61 nodes and 10000 macro sessions. The proposed algorithm achieved a 36% (on the average) improvement in the total reward over a minimum hop routing algorithm and heuristic admission control scheme in less than 1.5 s of CPU time using distributed computation. >

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 call

Disclaimer: 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.