Improved Bounds on the Throughput Efficiency of Greedy Maximal Scheduling in Wireless Networks

In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We...

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Published inIEEE/ACM transactions on networking Vol. 19; no. 3; pp. 709 - 720
Main Authors Leconte, M, Jian Ni, Srikant, R
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1063-6692
1558-2566
DOI10.1109/TNET.2010.2089534

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Abstract In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size.
AbstractList In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general k -hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size.
In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the general [Formula Omitted]-hop interference model. These results improve the known bounds for networks with up to 26 nodes under the 2-hop interference model. We also prove that GMS is throughput-optimal in small networks. In particular, we show that GMS achieves 100% throughput in networks with up to eight nodes under the 2-hop interference model. Furthermore, we provide a simple proof to show that GMS can be implemented using only local neighborhood information in networks of any size.
Author Srikant, R
Leconte, M
Jian Ni
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Snippet In this paper, we derive new bounds on the throughput efficiency of Greedy Maximal Scheduling (GMS) for wireless networks of arbitrary topology under the...
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SubjectTerms Computational modeling
Greedy Maximal Scheduling (GMS)
Interference
Longest Queue First (LQF)
Networks
Numerical models
Proving
Schedules
Scheduling
Scheduling algorithm
Throughput
throughput optimality
Topology
Wireless networks
Title Improved Bounds on the Throughput Efficiency of Greedy Maximal Scheduling in Wireless Networks
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