Title | ||
---|---|---|
An Adaptive Fairness And Throughput Control Approach For Resource Scheduling In Multiuser Wireless Networks |
Abstract | ||
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The important issue of an adaptive scheduling scheme is to maximize throughput while providing fair services to all users, especially under strict quality of service requirements. To achieve this goal, we consider the problem of multiuser scheduling under a given fairness constraint. A novel Adaptive Fairness and Throughput Control (AFTC) approach is proposed to maximize the network throughput while attaining a given min-max fairness index. Simulation results reveal that comparing to straightforward methods, the proposed AFTC approach can achieve the desired fairness while maximizing the throughput with short convergence time, and is stable in dynamic scenarios. The trade-off between fairness and throughput can be accurately controlled by adjusting the scheduler's parameters. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1587/transcom.E96.B.561 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
multiuser diversity, multiuser scheduling, proportional fairness, fairness index, adaptive fairness, throughput control | Max-min fairness,Wireless network,Computer science,Scheduling (computing),Quality of service,Computer network,Maximum throughput scheduling,Fairness measure,Throughput,Distributed computing,Fair queuing | Journal |
Volume | Issue | ISSN |
E96B | 2 | 0916-8516 |
Citations | PageRank | References |
1 | 0.39 | 7 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lin Shan | 1 | 1 | 1.06 |
Sonia Aïssa | 2 | 2471 | 187.03 |
Hidekazu Murata | 3 | 164 | 37.72 |
Susumu Yoshida | 4 | 134 | 25.22 |
Liang Zhao | 5 | 123 | 14.85 |