DocumentCode :
972979
Title :
A Multi-Server Scheduling Framework for Resource Allocation in Wireless Multi-Carrier Networks
Author :
Ying Jun Zhang
Author_Institution :
Chinese Univ. of Hong Kong, Shatin
Volume :
6
Issue :
11
fYear :
2007
fDate :
11/1/2007 12:00:00 AM
Firstpage :
3884
Lastpage :
3891
Abstract :
Multiuser resource allocation has recently been recognized as an effective methodology for enhancing the power and spectrum efficiency in OFDM (orthogonal frequency division multiplexing) systems. It is, however, not directly applicable to current packet-switched networks because most existing packet- scheduling schemes are based on a single-server model and do not serve multiple users at the same time. In this paper, we propose a cross-layer resource allocation algorithm based on a novel multi-server scheduling framework to achieve overall high system power efficiency in packet-switched OFDM networks. Our contribution is four fold: (i) we propose and analyze a MPGPS (multi-server packetized general processor sharing) service discipline that serves multiple users at the same time and facilitates multiuser resource allocation; (ii) we present a MPGPS-based joint MAC-PHY resource allocation scheme that incorporates packet scheduling, subcarrier allocation, and power allocation in an integrated framework; (iii) by investigating the fundamental tradeoff between multiuser-diversity and queueing performance, we present an A-MPGPS (adaptive MPGPS) service discipline that strikes balance between power efficiency and queueing performance; and (iv) we extend MPGPS to an O-MPGPS (opportunistic MPGPS) service discipline to further enhance the resource utilization efficiency.
Keywords :
OFDM modulation; radio access networks; resource allocation; MPGPS; OFDM; multi server packetized general processor sharing; multi server scheduling framework; multiuser diversity; power efficiency; queueing performance; resource allocation; wireless multi carrier networks; OFDM; Performance analysis; Physical layer; Power system modeling; Processor scheduling; Proposals; Queueing analysis; Resource management; Scheduling algorithm; Wireless networks;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2007.060288
Filename :
4381394
Link To Document :
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