Optimizing radio resource management in energy-efficient cognitive radio networks

George Mastorakis; Constandinos X. Mavromoustakis; Athina Bourdena; Evangelos Pallis; Giorgio Sismanidis

doi:10.1145/2507908.2507920

Optimizing radio resource management in energy-efficient cognitive radio networks

George Mastorakis, Constandinos X. Mavromoustakis, Athina Bourdena, Evangelos Pallis, Giorgio Sismanidis

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	HP-MOSys 2013 - Proceedings of the 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, Co-located with ACM MSWiM 2013
Publisher	Association for Computing Machinery
Pages	75-82
Number of pages	8
ISBN (Print)	9781450323727
DOIs	https://doi.org/10.1145/2507908.2507920
Publication status	Published - 2013
Event	2nd ACM Workshop on High Performance Mobile Opportunistic Systems, HP-MOSys 2013, Held in Conjunction with the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013 - Barcelona, Spain Duration: 3 Nov 2013 → 8 Nov 2013

Other

Other	2nd ACM Workshop on High Performance Mobile Opportunistic Systems, HP-MOSys 2013, Held in Conjunction with the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013
Country/Territory	Spain
City	Barcelona
Period	3/11/13 → 8/11/13

Keywords

centralized network architectures
energy-efficient cognitive radio systems
radio resource management algorithms
spectrum broker
tv white spaces

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/2507908.2507920

Cite this

Mastorakis, G., Mavromoustakis, C. X., Bourdena, A., Pallis, E., & Sismanidis, G. (2013). Optimizing radio resource management in energy-efficient cognitive radio networks. In HP-MOSys 2013 - Proceedings of the 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, Co-located with ACM MSWiM 2013 (pp. 75-82). Association for Computing Machinery. https://doi.org/10.1145/2507908.2507920

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title = "Optimizing radio resource management in energy-efficient cognitive radio networks",

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.",

keywords = "centralized network architectures, energy-efficient cognitive radio systems, radio resource management algorithms, spectrum broker, tv white spaces",

author = "George Mastorakis and Mavromoustakis, {Constandinos X.} and Athina Bourdena and Evangelos Pallis and Giorgio Sismanidis",

year = "2013",

doi = "10.1145/2507908.2507920",

language = "English",

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booktitle = "HP-MOSys 2013 - Proceedings of the 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, Co-located with ACM MSWiM 2013",

publisher = "Association for Computing Machinery",

note = "2nd ACM Workshop on High Performance Mobile Opportunistic Systems, HP-MOSys 2013, Held in Conjunction with the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013 ; Conference date: 03-11-2013 Through 08-11-2013",

}

Mastorakis, G, Mavromoustakis, CX, Bourdena, A, Pallis, E & Sismanidis, G 2013, Optimizing radio resource management in energy-efficient cognitive radio networks. in HP-MOSys 2013 - Proceedings of the 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, Co-located with ACM MSWiM 2013. Association for Computing Machinery, pp. 75-82, 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, HP-MOSys 2013, Held in Conjunction with the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013, Barcelona, Spain, 3/11/13. https://doi.org/10.1145/2507908.2507920

Optimizing radio resource management in energy-efficient cognitive radio networks. / Mastorakis, George; Mavromoustakis, Constandinos X.; Bourdena, Athina et al.
HP-MOSys 2013 - Proceedings of the 2nd ACM Workshop on High Performance Mobile Opportunistic Systems, Co-located with ACM MSWiM 2013. Association for Computing Machinery, 2013. p. 75-82.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pallis, Evangelos

AU - Sismanidis, Giorgio

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N2 - 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.

AB - 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.

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Y2 - 3 November 2013 through 8 November 2013

ER -

Optimizing radio resource management in energy-efficient cognitive radio networks

Abstract

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Keywords

UN SDGs

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