research-article

Using geolocation information for dynamic spectrum access in cellular networks

Authors:

Jad Nasreddine,

Natalia Miliou,

Janne Riihijärvi,

Andreas Polydoros,

Petri MähönenAuthors Info & Claims

PM2HW2N '11: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks

Pages 75 - 82

https://doi.org/10.1145/2069087.2069098

Published: 31 October 2011 Publication History

Abstract

In this paper, we explore the possibility of deploying a cognitive network that can opportunistically access the spectrum allocated to a primary cellular network. The main problem is that cellular networks are characterized by multiple simultaneous and dynamic transmissions combined with power control. The proposed approach assumes that the cognitive network knows the positions of the primary base stations and its own base stations. It utilizes a Maximum Likelihood Estimator (MLE) to detect the activity of neighboring primary base stations and exploits this information to determine the power with which a cognitive radio can transmit. The results show the possibility of using such a method to deploy an IEEE 802.11-like network as a cognitive network under specific constraints related to the position, the number and the distribution of the spectrum monitoring sensors inside the primary network.

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Cited By

Musashi MAdachi K(2020)Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)10.1109/ICAIIC48513.2020.9065213(262-266)Online publication date: Feb-2020
https://doi.org/10.1109/ICAIIC48513.2020.9065213
Kumar ASengupta ATandon RClancy T(2015)Dynamic Resource Allocation for Cooperative Spectrum Sharing in LTE NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2014.238401364:11(5232-5245)Online publication date: Nov-2015
https://doi.org/10.1109/TVT.2014.2384013
Paisana FMarchetti NDaSilva L(2014)Radar, TV and Cellular Bands: Which Spectrum Access Techniques for Which Bands?IEEE Communications Surveys & Tutorials10.1109/SURV.2014.031914.0007816:3(1193-1220)Online publication date: Nov-2015
https://doi.org/10.1109/SURV.2014.031914.00078
Show More Cited By

Index Terms

Using geolocation information for dynamic spectrum access in cellular networks
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
2. Mathematics of computing
  1. Probability and statistics
    1. Statistical paradigms
      1. Statistical graphics

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Published In

cover image ACM Conferences

PM2HW2N '11: Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks

October 2011

140 pages

ISBN:9781450309028

DOI:10.1145/2069087

Program Chairs:
Juan-Carlos Cano
Technical University of Valencia, Spain
,
Richard W. Pazzi
University of Ottawa, Canada

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2011

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MSWiM '11

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SIGSIM

MSWiM '11: The 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 31, 2011

Florida, Miami, USA

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Overall Acceptance Rate 74 of 226 submissions, 33%

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Cited By

Musashi MAdachi K(2020)Spectrum Database Aided Prior Vacant Frequency Band Detection for Spectrum Sharing2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)10.1109/ICAIIC48513.2020.9065213(262-266)Online publication date: Feb-2020
https://doi.org/10.1109/ICAIIC48513.2020.9065213
Kumar ASengupta ATandon RClancy T(2015)Dynamic Resource Allocation for Cooperative Spectrum Sharing in LTE NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2014.238401364:11(5232-5245)Online publication date: Nov-2015
https://doi.org/10.1109/TVT.2014.2384013
Paisana FMarchetti NDaSilva L(2014)Radar, TV and Cellular Bands: Which Spectrum Access Techniques for Which Bands?IEEE Communications Surveys & Tutorials10.1109/SURV.2014.031914.0007816:3(1193-1220)Online publication date: Nov-2015
https://doi.org/10.1109/SURV.2014.031914.00078
Zalonis ADimitriou NPolydoros ANasreddine JMahonen P(2012)Femtocell downlink power control based on Radio Environment Maps2012 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2012.6213964(1224-1228)Online publication date: Apr-2012
https://doi.org/10.1109/WCNC.2012.6213964

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