2019
Tsitseklis, K.; Kakkavas, G.; Karyotis, V.; Papavassiliou, S.
A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks Conference
vol. 2019-October, IEEE Computer Society, 2019, ISBN: 9781728110288, (cited By 0; Conference of 44th Annual IEEE Conference on Local Computer Networks, LCN 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:157724).
Abstract | Links | BibTeX | Tags: Cognitive radio, Cognitive radio network; Cross-layer design; Distributed computations; Experimental evaluation; Parallel implementations; Research and development; Software defined radio technologies; Software-defined radios, Computer networks; Magnetorheological fluids; Markov processes; Open source software; Radio; Radio receivers; Radio systems; Resource allocation; Software radio; Structural frames; Testbeds
@conference{Tsitseklis2019185,
title = {A Realistic Evaluation of MRF-based Resource Allocation for SDR Cognitive Radio Networks},
author = {K. Tsitseklis and G. Kakkavas and V. Karyotis and S. Papavassiliou},
editor = {Oteafy S. Tan H.-P. Andersson K.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080939926&doi=10.1109%2fLCN44214.2019.8990725&partnerID=40&md5=5ece1109bea717561dba60bfdc872500},
doi = {10.1109/LCN44214.2019.8990725},
isbn = {9781728110288},
year = {2019},
date = {2019-01-01},
journal = {Proceedings - Conference on Local Computer Networks, LCN},
volume = {2019-October},
pages = {185-192},
publisher = {IEEE Computer Society},
abstract = {In this paper, we focus on the development and realistic evaluation of a resource allocation approach for cognitive radios implemented with Software Defined Radio (SDR) technology over two testbeds of the ORCA federation. Our cross-layer approach is based on a Markov Random Field (MRF) framework realizing a distributed computation among the secondary nodes of cognitive radios. This is the first implementation and real experimental evaluation of such a mechanism. New SDR functions for implementing various cognitive radio functionalities, such as spectrum sensing, distributed node synchronization, etc., were developed in GNU Radio from scratch. We demonstrated the feasibility of the MRF-based resource allocation approach and quantified various performance metrics of interest, such as allocation fairness and collision percentage. Through this development, several design principles of broader interest for SDR emerged (e.g., for spectrum sensing and collision detection design), while salient features of our framework requiring further research and development were discovered (e.g., need for parallel implementation). © 2019 IEEE.},
note = {cited By 0; Conference of 44th Annual IEEE Conference on Local Computer Networks, LCN 2019 ; Conference Date: 14 October 2019 Through 17 October 2019; Conference Code:157724},
keywords = {Cognitive radio, Cognitive radio network; Cross-layer design; Distributed computations; Experimental evaluation; Parallel implementations; Research and development; Software defined radio technologies; Software-defined radios, Computer networks; Magnetorheological fluids; Markov processes; Open source software; Radio; Radio receivers; Radio systems; Resource allocation; Software radio; Structural frames; Testbeds},
pubstate = {published},
tppubtype = {conference}
}
In this paper, we focus on the development and realistic evaluation of a resource allocation approach for cognitive radios implemented with Software Defined Radio (SDR) technology over two testbeds of the ORCA federation. Our cross-layer approach is based on a Markov Random Field (MRF) framework realizing a distributed computation among the secondary nodes of cognitive radios. This is the first implementation and real experimental evaluation of such a mechanism. New SDR functions for implementing various cognitive radio functionalities, such as spectrum sensing, distributed node synchronization, etc., were developed in GNU Radio from scratch. We demonstrated the feasibility of the MRF-based resource allocation approach and quantified various performance metrics of interest, such as allocation fairness and collision percentage. Through this development, several design principles of broader interest for SDR emerged (e.g., for spectrum sensing and collision detection design), while salient features of our framework requiring further research and development were discovered (e.g., need for parallel implementation). © 2019 IEEE.
2014
Arkoulis, S.; Anifantis, E.; Karyotis, V.; Papavassiliou, S.; Mitrou, N.
Discovering and exploiting spectrum power correlations in cognitive radio networks: An experimentally driven approach Journal Article
In: Eurasip Journal on Wireless Communications and Networking, vol. 2014, 2014, ISSN: 16871472, (cited By 6).
Abstract | Links | BibTeX | Tags: Coarse-fine sensing; Energy detection; Power correlations; Spectrum occupancies; Spectrum sensing, Cognitive radio, Radio systems; Sensors; Surveys
@article{Arkoulis2014,
title = {Discovering and exploiting spectrum power correlations in cognitive radio networks: An experimentally driven approach},
author = {S. Arkoulis and E. Anifantis and V. Karyotis and S. Papavassiliou and N. Mitrou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898839082&doi=10.1186%2f1687-1499-2014-17&partnerID=40&md5=4789636b51a25eda2ceb6d599b8fbb4d},
doi = {10.1186/1687-1499-2014-17},
issn = {16871472},
year = {2014},
date = {2014-01-01},
journal = {Eurasip Journal on Wireless Communications and Networking},
volume = {2014},
publisher = {Hindawi Publishing Corporation},
abstract = {In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks. © 2014 Arkoulis et al.; licensee Springer.},
note = {cited By 6},
keywords = {Coarse-fine sensing; Energy detection; Power correlations; Spectrum occupancies; Spectrum sensing, Cognitive radio, Radio systems; Sensors; Surveys},
pubstate = {published},
tppubtype = {article}
}
In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks. © 2014 Arkoulis et al.; licensee Springer.
2012
Arkoulis, S.; Anifantis, E.; Karyotis, V.; Papavassiliou, S.; Mitrou, N.
Channel switching-aware optimal reconfiguration in cognitive radio networks Conference
VDE VERLAG GMBH, Poznan, 2012, (cited By 2; Conference of 18th European Wireless Conference, EW 2012 ; Conference Date: 18 April 2012 Through 20 April 2012; Conference Code:107593).
Abstract | Links | BibTeX | Tags: Channel assignment and routing; Channel switching; Cognitive radio network; MILP; Reconfiguration, Cognitive radio, Integer programming; Network routing; Radio; Radio systems
@conference{Arkoulis2012,
title = {Channel switching-aware optimal reconfiguration in cognitive radio networks},
author = {S. Arkoulis and E. Anifantis and V. Karyotis and S. Papavassiliou and N. Mitrou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878108973&partnerID=40&md5=a631a6c05a3f572b63382ff7dff08d38},
year = {2012},
date = {2012-01-01},
journal = {18th European Wireless Conference, EW 2012},
publisher = {VDE VERLAG GMBH},
address = {Poznan},
abstract = {Secondary users in Cognitive Radio networks (CRNs) require intelligent reconfiguration mechanisms, in order to respond promptly and limit properly additional and escalating system adaptations triggered by the interweaved primary network activity. In this work, we focus on the Joint Channel Assignment and Routing (JCAR) problem in CRNs and especially on the optimal reconfiguration of secondary networks by mainly taking into account the underlying spectrum switching distance parameter. We formulate the JCAR and network reconfiguration problems as mixed integer linear programs, addressing fairness as well. The proposed formulation addresses the trade-off between low reconfiguration cost and flow demand satisfaction. Through analysis and simulations we demonstrate the operation and effectiveness of the proposed mechanisms. The obtained numerical results indicate and quantify the underlying reconfiguration trade-off, while demonstrating the benefits achieved by the proposed solutions. © 2012 VDE VERLAG GMBH.},
note = {cited By 2; Conference of 18th European Wireless Conference, EW 2012 ; Conference Date: 18 April 2012 Through 20 April 2012; Conference Code:107593},
keywords = {Channel assignment and routing; Channel switching; Cognitive radio network; MILP; Reconfiguration, Cognitive radio, Integer programming; Network routing; Radio; Radio systems},
pubstate = {published},
tppubtype = {conference}
}
Secondary users in Cognitive Radio networks (CRNs) require intelligent reconfiguration mechanisms, in order to respond promptly and limit properly additional and escalating system adaptations triggered by the interweaved primary network activity. In this work, we focus on the Joint Channel Assignment and Routing (JCAR) problem in CRNs and especially on the optimal reconfiguration of secondary networks by mainly taking into account the underlying spectrum switching distance parameter. We formulate the JCAR and network reconfiguration problems as mixed integer linear programs, addressing fairness as well. The proposed formulation addresses the trade-off between low reconfiguration cost and flow demand satisfaction. Through analysis and simulations we demonstrate the operation and effectiveness of the proposed mechanisms. The obtained numerical results indicate and quantify the underlying reconfiguration trade-off, while demonstrating the benefits achieved by the proposed solutions. © 2012 VDE VERLAG GMBH.