Name
Abstract | ||
|---|---|---|
Densely-deployed femtocell networks are used to enhance wireless coverage in public spaces like office buildings, subways, and academic buildings. These networks can increase throughput for users, but edge users can suffer from co-channel interference, leading to service outages. This paper introduces a distributed algorithm for network configuration, called Radius Reduction and Scheduling (RRS), to improve the performance and fairness of the network. RRS determines cell sizes using a Voronoi-Laguerre framework, then schedules users using a scheduling algorithm that includes vacancy requests to increase fairness in dense femtocell networks. We prove that our algorithm always terminate in a finite time, producing a configuration that guarantees user or area coverage. Simulation results show a decrease in outage probability of up to 50%, as well as an increase in Jain's fairness index of almost 200%. |
Year | Venue | Field |
|---|---|---|
2016 | IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS | Femtocell,Fair-share scheduling,Scheduling (computing),Computer science,Computer network,Distributed algorithm,Schedule,Fairness measure,Maximum throughput scheduling,Throughput |
DocType | ISSN | Citations |
Conference | 0743-166X | 1 |
PageRank | References | Authors |
0.36 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Lin | 1 | 8 | 2.01 |
| Novella Bartolini | 2 | 250 | 21.87 |
| Thomas F. La Porta | 3 | 9 | 1.92 |