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A Study of Scheduling Algorithms to Maintain Small Overflow Probability in Cellular Networks with a Single Cell


 
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1. Title Title of document A Study of Scheduling Algorithms to Maintain Small Overflow Probability in Cellular Networks with a Single Cell
 
2. Creator Author's name, affiliation, country Nagarajan B.; Department of Computer Science and Engineering, Priyadarshini Engineering College, Vaniyambadi, Anna University, Chennai, Tamilnadu, India
 
2. Creator Author's name, affiliation, country Venkatesan G.; Department of Civil Engineering, Priyadarshini Engineering College, Vaniyambadi, Affiliated to Anna University, Chennai, Tamilnadu, India
 
2. Creator Author's name, affiliation, country Santhosh Kumar C.; Department of Computer Science and Engineering, Priyadarshini Engineering College, Vaniyambadi, Anna University, Chennai, Tamilnadu, India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Asymptotically Optimal Algorithms; Cellular System; Large Deviations; Queue-Overflow Probability; Wireless Scheduling
 
4. Description Abstract

Wireless scheduling algorithms for the download of a single cell that can maximize the asymptotic decay rate of the queue-overflow probability as the overflow threshold approaches infinity. We first derive an upper bound on the decay rate of the queue-overflow probability over all scheduling policies. Specifically, we focus on the class of “α - algorithms,” the base station picks the user for service at each time that has the largest product of the transmission rate multiplied by the backlog raised to the power α. The α-algorithms arbitrarily achieve the highest decay rate of the queue-overflow probability. We design a scheduling algorithm that is both close to optimal in terms of the asymptotic decay rate of the overflow probability and to maintain small queue-overflow probabilities over queue-length ranges of practical interest.

 
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7. Date (YYYY-MM-DD) 2016-02-09
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJACSIT/article/view/Tech-488
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Computer Science and Information Technology; 2020: Published Papers
 
12. Language English=en en
 
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