On spectrum sensing, resource allocation, and medium access control in cognitive radio networks
Date
2015-05, 2014-08, 2013-11, 2013-06, 2012-12
Authors
Karaputugala Gamacharige, Madushan Thilina
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
IEEE Transactions on Vehicular Technology
IEEE Communications Magazine
IEEE Transactions on Vehicular Technology
IEEE Journal on Selected Areas in Communications
IEEE International Conference on Communication (ICC’13)
IEEE Global Communications Conference (Globecom’ 12)
IEEE Transactions on Vehicular Technology
IEEE Communications Magazine
IEEE Transactions on Vehicular Technology
IEEE Journal on Selected Areas in Communications
IEEE International Conference on Communication (ICC’13)
IEEE Global Communications Conference (Globecom’ 12)
Abstract
The cognitive radio-based wireless networks have been proposed as a promising technology
to improve the utilization of the radio spectrum through opportunistic spectrum access. In
this context, the cognitive radios opportunistically access the spectrum which is licensed to
primary users when the primary user transmission is detected to be absent. For opportunistic
spectrum access, the cognitive radios should sense the radio environment and allocate
the spectrum and power based on the sensing results. To this end, in this thesis, I develop
a novel cooperative spectrum sensing scheme for cognitive radio networks (CRNs) based
on machine learning techniques which are used for pattern classification. In this regard,
unsupervised and supervised learning-based classification techniques are implemented for
cooperative spectrum sensing. Secondly, I propose a novel joint channel and power allocation
scheme for downlink transmission in cellular CRNs. I formulate the downlink
resource allocation problem as a generalized spectral-footprint minimization problem. The
channel assignment problem for secondary users is solved by applying a modified Hungarian
algorithm while the power allocation subproblem is solved by using Lagrangian
technique. Specifically, I propose a low-complexity modified Hungarian algorithm for subchannel
allocation which exploits the local information in the cost matrix. Finally, I propose
a novel dynamic common control channel-based medium access control (MAC) protocol
for CRNs. Specifically, unlike the traditional dedicated control channel-based MAC protocols,
the proposed MAC protocol eliminates the requirement of a dedicated channel for
control information exchange.
Description
Keywords
Cognitive radio networks, Resource allocation, Medium access control, MAC protocol, Spectrum sensing, Machine learning, Dynamic common control channel, Spectral footprint, Generalized spectral footprint minimization, pattern recognition, SVM, KNN, K-Meam, GMM, OFDMA, Multiuser, cellular
Citation
K. M. Thilina, and E. Hossain, ”Cognitive Radio Networks and Spectrum Sharing” book chapter in Transmission Techniques for Digital Communications (Eds. Sarah Kate Wilson and Stephen Wilson), Elsevier - to appear
K. M. Thilina, E. Hossain, and D.I. Kim, “DCCC-MAC: A Dynamic Common Control Channel-Based MAC Protocol for Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, to appear.
K.M. Thilina, H. Tabassum, E. Hossain, and D.I. Kim, ”Medium access control design for full duplex wireless systems: challenges and approaches,” IEEE Communications Magazine , vol.53, no.5, pp.112,120, May 2015
K. Thilina, E. Hossain, and M. Moghadari, “Cellular OFDMA Cognitive Radio Networks: Generalized Spectral Footprint Minimization,” IEEE Transactions on Vehicular Technology, August 2014
K. M. Thilina, K.W. Choi, N. Saquib, and E. Hossain, “Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications, vol. 31, no.11 pp. 2209–2221, November 2013
K. M. Thilina, M. Moghadari and E. Hossain, “Generalized Spectral Footprint Minimization for Multiuser Cognitive Radio Networks,” in Proc. IEEE Int. Conf. on Communication (ICC’13) , Sydney, Australia, 10-14 June 2013.
K. M. Thilina, K. W. Choi, N. Saquib, and E. Hossain, “Pattern Classification Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks: SVM and W-KNN Approaches,” in Proc. IEEE Global Communications Conference (Globecom’ 12), Anaheim, California, USA, 2012.
K. M. Thilina, E. Hossain, and D.I. Kim, “DCCC-MAC: A Dynamic Common Control Channel-Based MAC Protocol for Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, to appear.
K.M. Thilina, H. Tabassum, E. Hossain, and D.I. Kim, ”Medium access control design for full duplex wireless systems: challenges and approaches,” IEEE Communications Magazine , vol.53, no.5, pp.112,120, May 2015
K. Thilina, E. Hossain, and M. Moghadari, “Cellular OFDMA Cognitive Radio Networks: Generalized Spectral Footprint Minimization,” IEEE Transactions on Vehicular Technology, August 2014
K. M. Thilina, K.W. Choi, N. Saquib, and E. Hossain, “Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Journal on Selected Areas in Communications, vol. 31, no.11 pp. 2209–2221, November 2013
K. M. Thilina, M. Moghadari and E. Hossain, “Generalized Spectral Footprint Minimization for Multiuser Cognitive Radio Networks,” in Proc. IEEE Int. Conf. on Communication (ICC’13) , Sydney, Australia, 10-14 June 2013.
K. M. Thilina, K. W. Choi, N. Saquib, and E. Hossain, “Pattern Classification Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks: SVM and W-KNN Approaches,” in Proc. IEEE Global Communications Conference (Globecom’ 12), Anaheim, California, USA, 2012.