research-article

Optimizing radio resource management in energy-efficient cognitive radio networks

Authors:

George Mastorakis,

Constandinos X. Mavromoustakis,

Athina Bourdena,

Evangelos Pallis,

Giorgio SismanidisAuthors Info & Claims

HP-MOSys '13: Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems

Pages 75 - 82

https://doi.org/10.1145/2507908.2507920

Published: 03 November 2013 Publication History

Abstract

This paper elaborates on two radio resource management (RRM) algorithms exploited to optimally allocate radio spectrum and maintain maximum energy in cognitive radio (CR) network nodes of a centralized system architecture. Both RRM algorithms allow for effective TV White Spaces (TVWS) exploitation, using a radio spectrum broker. This broker orchestrates TVWS trading, between several secondary systems, based on an energy-efficient process, as well as the real time secondary spectrum market policy. The proposed TVWS allocation process follows, either a fixed-price or an auction-based trading approach. The efficiency of both algorithms is validated through a number of experimental tests, conducted under controlled simulation conditions. More specifically, their performance was evaluated, in terms of spectrum broker benefit, energy consumption level and throughput response, during TVWS allocation process.

References

[1]

First Report and Order, "Federal Communication Commission Std., 2010. Available: http://fjallfoss.fcc.gov/edocs_public/attachmatch/FCC-10-196A1_Rcd.pdf.

[2]

The Economics of Spectrum management: A Review, Australian Communication and Media Authority (ACMA), 2007.

[3]

OFCOM, "Digital Dividend Review: geographic interleaved awards 470 - 550 MHz and 630 - 790 MHz - Consultation on detailed award design", June 2008.

[4]

3GGPP LTE: http://www.3gpp.org/LTE

[5]

Unlicensed Operation in the TV Broadcast Bands, Final Rules, Available: http://edocket.access.gpo.gov/2009/pdf/E9-3279.pdf.

[6]

A. Bourdena, E. Pallis, G. Kormentzas, C. Skianis, G. Mastorakis, "Real-Time TVWS Trading Based on a Centralised CR Network Architecture", in proc. IEEE Globecom2011, Texas, Houston, USA, 2011, pp. 964--969.

[7]

I. F. Akyildiz, W. Y. Lee, M. C. Vuran, S. Mohanty, "A Survey on Spectrum Management in Cognitive Radio Networks", IEEE Coms. Mag. 46, 40--48, 2008.

Digital Library

[8]

F. Cavalcanti, S. Andersson, "Optimizing Wireless Communications Systems", Springer, 2009.

[9]

A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, "A prototype cognitive radio architecture for TVWS exploitation under the real time secondary spectrum market policy", Physical Communications Journal, Elsevier, (to appear).

[10]

A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, "A centralised broker-based CR network architecture for TVWS exploitation under the RTSSM policy", in proc. IEEE ICC2012, Ottawa, Canada, 10-15 June, 2012, pp. 7243--7247.

[11]

A. Bourdena, E. Pallis, G. Kormentzas, H. Skianis, G. Mastorakis, "QoS provisioning and policy management in a broker-based CR network architecture", in Proc. IEEE Globecom 2012, Anaheim, California, USA, 03-07 December, 2012.

[12]

A. Bourdena, E. Pallis, G. Kormentzas, G. Mastorakis, "Radio Resource Management Algorithms for Efficient QoS Provisioning over Cognitive Radio Networks", in proc IEEE ICC2013, Budapest, Hungary, 09-13 June, 2013 (accepted).

[13]

A. Wyglynski, M. Nekovee, and T. Hou, Cognitive Radio Communications and Networks: Principles and Practice, Academic Press, 2009.

[14]

I. F. Akyildiz, W. Y. Lee, M. C. Vuran, S. Mohanty, "A Survey on Spectrum Management in Cognitive Radio Networks", IEEE Communications Magazine, April 2008.

Digital Library

[15]

E. Hossain, D. Niyato and Z. Han, "Dynamic spectrum access and management in cognitive radio networks", first ed. Cambridge University Press, 2009.

Digital Library

[16]

C. X. Mavromoustakis, C. D. Dimitriou, G. Mastorakis, "Using Real-Time Backward Traffic Difference Estimation for Energy Conservation in Wireless Devices", in proc. of 4th International Conference on Advances in P2P Systems (AP2PS 2012), September 23-28, 2012 - Barcelona, Spain, pp. 18--23.

[17]

C. X. Mavromoustakis, K. G. Zerfiridis, "On the diversity properties of wireless mobility with the user-centered temporal capacity awareness for EC in wireless devices", in proc. of 6th IEEE International Conference on Wireless and Mobile Communications, ICWMC 2010, September 20-25, 2010-Valencia, Spain, pp. 367--372.

Digital Library

[18]

Y. Choi, H. Kim, S. Han, and Y. Han, "Joint resource allocation for parallel multi-radio access in heterogeneous wireless networks," IEEE Trans. Wireless Commun. vol. 9, no. 11, pp. 3324--3329, 2010.

Digital Library

[19]

A. Bourdena, G. Mastorakis, E. Pallis, C. Mavromoustakis, G. Kormentzas and E. Karditsis "A Radio Resource Management Framework for Opportunistic TVWS Access", in proc. of 15th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM' 12), October 21-25 2012, Paphos, Cyprus, pp. 33--38.

Digital Library

[20]

C. Dimitriou, C. X. Mavromoustakis, G. Mastorakis, E. Pallis, "On the performance response of delay-bounded energy-aware bandwidth allocation scheme in wireless networks", IEEE ICC2013, 9-13 June 2013, Budapest, Hungary.

[21]

S. S. Skiena: The Algorithm Design Manual, Springer.

[22]

C. X. Mavromoustakis, "On the impact of caching and a model for storage-capacity measurements for energy conservation in asymmetrical wireless devices", IEEE Communication Society (COMSOC), 16th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2008), September 2008, pp. 243--247.

[23]

C. X. Mavromoustakis, "Mitigating file-sharing misbehavior with movement synchronization to increase end-to-end availability for delay sensitive streams in vehicular P2P devices", International Journal of Communication Systems, Wiley, to appear.

[24]

COGEU-ICT-FP7-248560, COGnitive radio systems for efficient sharing of TV white spaces in EU context, http://www.ict-cogeu.eu.

Cited By

Skourletopoulos GMavromoustakis CMastorakis GBatalla JDobre CPanagiotakis SPallis E(2016)Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future OpportunitiesAdvances in Mobile Cloud Computing and Big Data in the 5G Era10.1007/978-3-319-45145-9_3(43-62)Online publication date: 20-Nov-2016
https://doi.org/10.1007/978-3-319-45145-9_3
Kryftis YMastorakis GMavromoustakis CBatalla JBourdena APallis E(2015)A Resource Prediction Engine for Efficient Multimedia Services ProvisionResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch012(361-380)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8225-2.ch012
Mavromoustakis CMastorakis GBourdena APallis EStratakis DPerakakis EKopanakis IPapadakis SZaharis ZSkeberis CXenos T(2015)A Social-Oriented Mobile Cloud Scheme for Optimal Energy ConservationResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch005(97-121)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8225-2.ch005
Show More Cited By

Index Terms

Optimizing radio resource management in energy-efficient cognitive radio networks
1. Networks
  1. Network services
    1. Network management

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Published In

cover image ACM Conferences

HP-MOSys '13: Proceedings of the 2nd ACM workshop on High performance mobile opportunistic systems

November 2013

98 pages

ISBN:9781450323727

DOI:10.1145/2507908

General Chairs:
Constandinos X. Mavromoustakis
University of Nicosia, Cyprus
,
Tasos Dagiuklas
Hellenic Open University, Greece
,
Lei Shu
Guangdong University of Petrochemical Technology, China

Copyright © 2013 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: 03 November 2013

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Research-article

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MSWiM '13

Sponsor:

SIGSIM

MSWiM '13: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 3 - 8, 2013

Barcelona, Spain

Acceptance Rates

HP-MOSys '13 Paper Acceptance Rate 13 of 35 submissions, 37%;

Overall Acceptance Rate 13 of 35 submissions, 37%

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Cited By

Skourletopoulos GMavromoustakis CMastorakis GBatalla JDobre CPanagiotakis SPallis E(2016)Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future OpportunitiesAdvances in Mobile Cloud Computing and Big Data in the 5G Era10.1007/978-3-319-45145-9_3(43-62)Online publication date: 20-Nov-2016
https://doi.org/10.1007/978-3-319-45145-9_3
Kryftis YMastorakis GMavromoustakis CBatalla JBourdena APallis E(2015)A Resource Prediction Engine for Efficient Multimedia Services ProvisionResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch012(361-380)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8225-2.ch012
Mavromoustakis CMastorakis GBourdena APallis EStratakis DPerakakis EKopanakis IPapadakis SZaharis ZSkeberis CXenos T(2015)A Social-Oriented Mobile Cloud Scheme for Optimal Energy ConservationResource Management of Mobile Cloud Computing Networks and Environments10.4018/978-1-4666-8225-2.ch005(97-121)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-8225-2.ch005
Papadopoulos MMavromoustakis CSkourletopoulos GMastorakis GPallis E(2014)Performance analysis of reactive routing protocols in Mobile Ad hoc Networks2014 International Conference on Telecommunications and Multimedia (TEMU)10.1109/TEMU.2014.6917744(104-110)Online publication date: Jul-2014
https://doi.org/10.1109/TEMU.2014.6917744
Mastorakis GMavromoustakis CMarkakis EPallis ESkourletopoulos G(2014)Virtual Network Functions exploitation through a prototype resource management framework2014 International Conference on Telecommunications and Multimedia (TEMU)10.1109/TEMU.2014.6917730(24-28)Online publication date: Jul-2014
https://doi.org/10.1109/TEMU.2014.6917730
Mastorakis GPanagiotakis SKapetanakis KDagalakis GMavromoustakis CBourdena APallis EMavromoustakis CPallis EMastorakis G(2014)Energy and Resource Consumption Evaluation of Mobile Cognitive Radio DevicesResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_16(359-388)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06704-9_16
Kormentzas GMavromoustakis CPallis EMastorakis G(2014)Spectrum Trading in Cognitive Radio Networks: Challenges and SolutionsResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_15(341-357)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06704-9_15
Mastorakis GMavromoustakis CBourdena APallis ESismanidis GStratakis DPapadakis SMavromoustakis CPallis EMastorakis G(2014)Energy-Efficient Routing in Cognitive Radio NetworksResource Management in Mobile Computing Environments10.1007/978-3-319-06704-9_14(323-340)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06704-9_14

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