DocumentCode
3258087
Title
A New Cross Layer Approach to QoS-Aware Proportional Fairness Packet Scheduling in the Downlink of OFDM Wireless Systems
Author
Zhen Kong ; Jiangzhou Wang ; Yu-Kwong Kwok
Author_Institution
Univ. of Hong Kong, Hong Kong
fYear
2007
fDate
24-28 June 2007
Firstpage
5695
Lastpage
5700
Abstract
OFDM systems are the major cellular platforms for supporting ubiquitous high performance mobile applications. However, there remain a number of research challenges to be tackled. One of the most important challenges is the design of a judicious packet scheduler so as to make efficient use of the spectrum bandwidth. In this paper, we propose a new QoS-aware proportional fairness (QPF) packet scheduling policy for the downlink of multiuser OFDM systems to allocate radio resource among users. Our proposed algorithm is based on a cross layer design in that the scheduler is aware of both channel and queue state information to achieve proportional fairness while improving each user´s QoS performance. Simulation results indicate that the proposed QPF algorithm is efficient in terms of average system throughput, packet dropping probability, and packet delay, while maintaining adequate fairness among users.
Keywords
OFDM modulation; cellular radio; multiuser channels; packet radio networks; probability; quality of service; queueing theory; scheduling; wireless channels; QoS-aware proportional fairness packet scheduling; channel state information; cross layer design; downlink; multiuser OFDM wireless systems; packet delay; packet dropping probability; queue state information; radio resource allocation; spectrum bandwidth; Algorithm design and analysis; Cross layer design; Delay; Downlink; OFDM; Queueing analysis; Resource management; Scheduling algorithm; Streaming media; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location
Glasgow
Print_ISBN
1-4244-0353-7
Type
conf
DOI
10.1109/ICC.2007.944
Filename
4289615
Link To Document