research-article

Practical conflict graphs for dynamic spectrum distribution

Authors:

Haitao ZhengAuthors Info & Claims

SIGMETRICS '13: Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems

Pages 5 - 16

https://doi.org/10.1145/2465529.2465545

Published: 17 June 2013 Publication History

Abstract

Most spectrum distribution proposals today develop their allocation algorithms that use conflict graphs to capture interference relationships. The use of conflict graphs, however, is often questioned by the wireless community because of two issues. First, building conflict graphs requires significant overhead and hence generally does not scale to outdoor networks, and second, the resulting conflict graphs do not capture accumulative interference. In this paper, we use large-scale measurement data as ground truth to understand just how severe these issues are in practice, and whether they can be overcome. We build "practical" conflict graphs using measurement-calibrated propagation models, which remove the need for exhaustive signal measurements by interpolating signal strengths using calibrated models. These propagation models are imperfect, and we study the impact of their errors by tracing the impact on multiple steps in the process, from calibrating propagation models to predicting signal strength and building conflict graphs. At each step, we analyze the introduction, propagation and final impact of errors, by comparing each intermediate result to its ground truth counterpart generated from measurements. Our work produces several findings. Calibrated propagation models generate location-dependent prediction errors, ultimately producing conservative conflict graphs. While these "estimated conflict graphs" lose some spectrum utilization, their conservative nature improves reliability by reducing the impact of accumulative interference. Finally, we propose a graph augmentation technique that addresses any remaining accumulative interference, the last missing piece in a practical spectrum distribution system using measurement-calibrated conflict graphs.

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Index Terms

Practical conflict graphs for dynamic spectrum distribution
1. Networks
  1. Network services
    1. Network management

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cover image ACM Conferences

SIGMETRICS '13: Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems

June 2013

406 pages

ISBN:9781450319003

DOI:10.1145/2465529

General Chair:
Mor Harchol-Balter
Carnegie Mellon University, USA
,
Program Chairs:
John Douceur
Microsoft Research, USA
,
Jun Xu
Georgia Institute of Technology, USA

ACM SIGMETRICS Performance Evaluation Review Volume 41, Issue 1
Performance evaluation review
June 2013
385 pages
ISSN:0163-5999
DOI:10.1145/2494232
Issue’s Table of Contents

Copyright © 2013 ACM.

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Published: 17 June 2013

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SIGMETRICS '13: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems

June 17 - 21, 2013

PA, Pittsburgh, USA

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SIGMETRICS '13 Paper Acceptance Rate 54 of 196 submissions, 28%;

Overall Acceptance Rate 459 of 2,691 submissions, 17%

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https://dl.acm.org/doi/10.1145/3624354.3630587
Dong XZhang YGuo YGong YShen YMa J(2023)PRAM: A Practical Sybil-Proof Auction Mechanism for Dynamic Spectrum Access With Untruthful AttackersIEEE Transactions on Mobile Computing10.1109/TMC.2021.309010322:2(1143-1156)Online publication date: 1-Feb-2023
https://doi.org/10.1109/TMC.2021.3090103
Liu DCao ZJiang HZhou SXiao ZZeng F(2022)Concurrent Low-power Listening: A New Design Paradigm for Duty-cycling CommunicationACM Transactions on Sensor Networks10.1145/351701319:1(1-24)Online publication date: 8-Dec-2022
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Liu DCao ZHou MRong HJiang H(2020)Pushing the Limits of Transmission Concurrency for Low Power Wireless NetworksACM Transactions on Sensor Networks10.1145/340683416:4(1-29)Online publication date: 10-Sep-2020
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Liu DCao ZHe YJi XHou MJiang H(2019)Exploiting Concurrency for Opportunistic Forwarding in Duty-Cycled IoT NetworksACM Transactions on Sensor Networks10.1145/332249615:3(1-33)Online publication date: 30-May-2019
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