Distributed link scheduling for throughput maximization under physical interference model

We study distributed link scheduling for throughput maximization in wireless networks. The majority of results on link scheduling assume binary interference models for simplicity. While the physical interference model reflects the physical reality more precisely, the problem becomes notoriously hard...

Full description

Saved in:
Bibliographic Details
Published in2012 Proceedings IEEE INFOCOM pp. 2691 - 2695
Main Authors Yaqin Zhou, Xiang-Yang Li, Min Liu, Zhongcheng Li, Shaojie Tang, Xufei Mao, Qiuyuan Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Online AccessGet full text
ISBN9781467307734
1467307734
ISSN0743-166X
DOI10.1109/INFCOM.2012.6195680

Cover

More Information
Summary:We study distributed link scheduling for throughput maximization in wireless networks. The majority of results on link scheduling assume binary interference models for simplicity. While the physical interference model reflects the physical reality more precisely, the problem becomes notoriously harder under the physical interference model. There have been just a few existing results on centralized link scheduling under the physical interference model, though distributed schedulings are more practical. In this paper, by leveraging the partition and shifting strategies and the pick-and-compare scheme, we present the first distributed link scheduling algorithm that can achieve a constant fraction of the optimal capacity region subject to physical interference constraints in the linear power setting for multihop wireless networks.
ISBN:9781467307734
1467307734
ISSN:0743-166X
DOI:10.1109/INFCOM.2012.6195680