Name
Abstract | ||
|---|---|---|
Efficient radio resource allocation is essential to provide quality of service (QoS) for wireless networks. In this paper, a cross-layer resource allocation scheme is presented with the objective of maximizing system throughput, while providing guaranteed-QoS for users. With the assumption of a finite queue for arrival packets, the proposed scheme dynamically allocates radio resources based on user's channel characteristic and QoS metrics derived from a queuing model, which considers a packet arrival process modeled by discrete Markov Modulated Poisson Process (dMMPP), and a multirate transmission scheme achieved through adaptive modulation(AM). The cross-layer resource allocation scheme operates over two steps. Specifically, the amount of bandwidth allocated to each user is first derived from a queuing analytical model, and then the algorithm finds the best subcarrier assignment for users. Simulation results show that the proposed scheme maximizes the system throughput while guaranteeing QoS for users. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WCNC.2008.272 | WCNC |
Keywords | Field | DocType |
qos-oriented cross-layer radio resource allocation,finite queuing analytical model,quality of service,ofdm modulation,bandwidth allocation,ofdma systems,packet arrival process,queueing theory,resource allocation,wireless channel,wireless networks,radio networks,wireless channels,bandwidth allocatiion,frequency division multiple access,adaptive modulation,multirate transmission scheme,markov processes,subcarrier assignment,discrete markov modulated poisson process,wireless network,process model | Link adaptation,Markov process,Computer science,Bandwidth allocation,Computer network,Quality of service,Real-time computing,Queueing theory,Resource allocation,Frequency-division multiple access,Throughput | Conference |
ISSN | ISBN | Citations |
1525-3511 | 978-1-4244-1997-5 | 4 |
PageRank | References | Authors |
0.47 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tian Hui | 1 | 216 | 30.81 |
| Haibo Xu | 2 | 99 | 10.67 |
| Youjun Gao | 3 | 98 | 10.20 |
| Sheng-Dong Wang | 4 | 87 | 6.79 |
| Ping Zhang | 5 | 758 | 105.08 |