DocumentCode :
799176
Title :
A Large Deviations Analysis of Scheduling in Wireless Networks
Author :
Ying, Lei ; Srikant, R. ; Eryilmaz, Atilla ; Dullerud, Geir E.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL
Volume :
52
Issue :
11
fYear :
2006
Firstpage :
5088
Lastpage :
5098
Abstract :
In this correspondence, we consider a cellular network consisting of a base station and N receivers. The channel states of the receivers are assumed to be identical and independent of each other. The goal is to compare the throughput of two different scheduling policies (a queue-length-based (QLB) policy and a greedy policy) given an upper bound on the queue overflow probability or the delay violation probability. We consider a multistate channel model, where each channel is assumed to be in one of L states. Given an upper bound on the queue overflow probability or an upper bound on the delay violation probability, we show that the total network throughput of the (QLB) policy is no less than the throughput of the greedy policy for all N. We also obtain a lower bound on the throughput of the (QLB) policy. For sufficiently large N, the lower bound is shown to be tight, strictly increasing with N, and strictly larger than the throughput of the greedy policy. Further, for a simple multistate channel model-ON-OFF channel, we prove that the lower bound is tight for all N
Keywords :
cellular radio; greedy algorithms; probability; queueing theory; radio receivers; scheduling; wireless channels; QLB policy; cellular network; greedy policy; large deviations analysis; multistate channel model; probability; queue-length based policy; receiver; scheduling policy; wireless network; Base stations; Delay; Intelligent networks; Land mobile radio cellular systems; Scheduling algorithm; Stability; Throughput; Time division multiple access; Upper bound; Wireless networks; Greedy policy; large deviations; multiuser wireless scheduling; queue-length-based (QLB) policy; wireless networks;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.883633
Filename :
1715545
Link To Document :
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