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.

References

[1]

http://www.t-mobiletowers.com/ {Last visited 02/08/2011}.

[2]

Second report and order and memorandum opinion and order. in ET Docket No. 04--186 and ET Docket No. 02--380, FCC 08--260, November 4 2008.

[3]

CEPT Report 30: Report from CEPT to the European Commission in response to the Mandate on "the identification of common and minimal (least restrictive) technical conditions for 790--862 MHz for the digital dividend in the European Union", 2009.

[4]

\uppercase3GPP TR 36.810: "UMTS / LTE in 800 MHz for Europe", March 2010.

[5]

I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Computer Networks: The International Journal of Computer and Telecommunications Networking, 50(13):2127 -- 2159, 2006.

Digital Library

[6]

M. M. Buddhikot, P. Kolodzy, S. Miller, K. Ryan, and J. Evans. DIMSUMnet: New directions in wireless networking using coordinated dynamic spectrum access. In the IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2005), 2005.

Digital Library

[7]

K. Harrison and A. Sahai. Potential collapse of whitespaces and the prospect for a universal power rule. In the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2011), 2011.

[8]

S. Haykin. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2):201--220, Feb. 2005.

Digital Library

[9]

N. Hoven and A. Sahai. Power scaling for cognitive radio. In the International Conference on Wireless Networks, Communications and Mobile Computing, volume 1, pages 250--255, 2005.

[10]

L. Maciel, H. Bertoni, and H. Xia. Unified approach to prediction of propagation over buildings for all ranges of base station antenna height. IEEE transactions on vehicular technology, vol. 42(no. 1):41--45, 1993.

[11]

N. Miliou, A. Moustakas, and A. Polydoros. Interference source localization and transmit power estimation under log-normal shadowing. In the 2011 European Signal Processing Conference (Eusipco 2011), 2011.

[12]

R. Murty, R. Chandra, T. Moscibroda, and V. Bahl. Senseless: A database-driven white spaces network. In the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2011), 2011.

[13]

A. O. Nasif and B. L. Mark. Opportunistic spectrum sharing with multiple cochannel primary transmitters. IEEE Transactions on Wireless Communications, 8(11):5702 -- 5710, 2009.

Digital Library

[14]

J. Nasreddine, A. Achtzehn, J. Riihijarvi, and P. Mahönen. Enabling secondary access through robust primary user channel assignment. In IEEE Global Telecommunications Conference (GLOBECOM 2010), 2010.

[15]

J. Nasreddine, J. Riihij\"arvi, and P. Mahönen. Location-based adaptive detection threshold for dynamic spectrum access. In the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2010), 2010.

[16]

J. Nasreddine, O. Sallent, J. Pérez-Romero, and R. Agustí. Positioning-based framework for secondary spectrum usage. Physical Communication, 1(2):121--133, 2008.

Digital Library

[17]

R. Tandra, M. Mishra, and A. Sahai. What is a spectrum hole and what does it take to recognize one? Proceedings of the IEEE, 97(5):824--848, 2009.

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

Recommendations

Dynamic Spectrum Access in heterogeneous unlicensed wireless networks

Existing wireless systems are normally regulated by a fixed spectrum assignment strategy. This policy leads to an undesirable situation that some systems may only use the allocated spectrum to a limited extent while others have very serious spectrum ...
Dynamic spectrum access in underlay cognitive radio system with SINR constraints
WiCOM'09: Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing

How to improve the spectrum utility of the unlicensed uses (secondary users) without interfering the licensed spectrum holders' usage becomes a key issue in the cognitive radio system. In this paper, we consider an underlay cognitive radio system in ...
Optimal Transmission Strategies for Dynamic Spectrum Access in Cognitive Radio Networks

Cognitive radio offers a promising technology to mitigate spectrum shortage in wireless communications. It enables secondary users (SUs) to opportunistically access low-occupancy primary spectral bands as long as their negative effect on the primary ...

Comments

Information & Contributors

Information

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]

Sponsors

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 October 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MSWiM '11

Sponsor:

SIGSIM

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

October 31, 2011

Florida, Miami, USA

Acceptance Rates

Overall Acceptance Rate 74 of 226 submissions, 33%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
94
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Sep 2024

Other Metrics

View Author Metrics

Citations

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

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents