Name
Title | ||
|---|---|---|
Pareto optimal resource management for wireless mesh networks with QoS assurance: Joint node clustering and subcarrier allocation |
Abstract | ||
|---|---|---|
Node clustering and subcarrier allocation are imperative to ameliorate system throughput and facilitate quality-of-service (QoS) provisioning by means of effective interference control and maximum frequency reuse. In this paper, we propose a novel node clustering algorithm with effective tax-based subcarrier allocation tailored for wireless mesh networks with QoS support. With increased frequency reuse, our proposed approach is shown to achieve a higher system throughput than a conflict-graph approach and a baseline approach. Also, our approach is demonstrated promising in balancing packet delay and end-to-end transmission rate. By carefully adjusting an upper bound of subcarriers allocated to each cluster, we can achieve improved system performance. The proposed resource allocation achieves the Pareto optimality, demonstrating efficient use of network resources. Further, our analysis reveals that how to allocate resources in a wireless network in a decentralized manner can affect the solution space of a performance tradeoff between QoS provisioning and throughput maximization. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TWC.2008.080726 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
end-to-end transmission rate,effective tax-based sub-carrier allocation,packet delay,subcarrier allocation,pareto optimal resource management,frequency allocation,radiofrequency interference,interference control,node clustering,quality-of-service,qos support,statistical analysis,quality of service,system throughput,quality assurance,wireless mesh network (wmn),proposed resource allocation,improved system performance,resource allocation,wireless mesh network,telecommunication network topology,radio networks,frequency reuse,pareto optimisation,baseline approach,game theory,quality-of-service qos provisioning,conflict-graph approach,wire- less mesh network wmn.,tax-based subcarrier allocation,qos assurance,interference suppression,quality-of-service (qos) provisioning,maximum frequency reuse,higher system throughput,index terms—frequency reuse,joint node clustering,control systems,indexing terms,resource manager,interference,clustering algorithms,system performance,wireless communication,logic gates,resource management,throughput,mesh network,upper bound,frequency,wireless network | Subcarrier,Wireless network,Quality of service,Computer network,Resource allocation,Frequency allocation,Wireless mesh network,Throughput,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 3 | 1536-1276 |
Citations | PageRank | References |
15 | 0.83 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ho Ting Cheng | 1 | 305 | 17.35 |
| Zhuang, W. | 2 | 4190 | 302.05 |