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. / October 2015
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/30650 |
| Date | 12 1900 |
| Creators | Karaputugala Gamacharige, Madushan Thilina |
| Contributors | Hossain, Ekram (Electrical and Computer Engineering), Yahampath, Pradeepa (Electrical and Computer Engineering) Irani, Pourang (Computer Science) Fapojuwo, Abraham (Electrical and Computer EIngineering, University of Calgary) |
| 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) |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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