Interference-aware resource management techniques for cognitive radio networks.
Author(s)
Almalfouh, Sami M.
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Abstract
The objective of the proposed research is to develop interference-aware resource
management techniques for CR networks that opportunistically operate within
the licensed primary networks spectrum and to investigate the application of such CR
techniques to emerging wireless networks.
In this thesis, we report on a set of laboratory experiments that we undertook
to analyze the interference between the CR-based wireless regional-area network
(WRAN) standard and the digital television (DTV) broadcasting system. We determined
the tolerable levels of WRAN interference into DTV receivers and studied
the effect of these interference levels on WRAN deployment.
Based on the need for efficient utilization of the primary network spectrum, we
propose efficient interference-aware radio resource allocation (RRA) techniques for
orthogonal frequency-division multiple access (OFDMA) CR networks. These RRA
techniques aim to maximize the CR network throughput and to keep the CR interference
to the primary network at or below a predefined threshold, known as the
"interference temperature" limit. Moreover, we propose a joint spectrum-sensing design
and power control algorithm that lead to increased CR network throughput and
efficient protection of the PUs from undue interference.
Interference coordination (IC) is considered a key technique for capacity maximization
in emerging heterogeneous wireless networks. We propose a CR-based IC
and RRA algorithm for OFDMA femtocell deployments to achieve efficient spectrum
utilization and maximum network throughput. CR is envisioned as a key enabling
technology for future wireless networks; our novel CR techniques will provide other
researchers useful tools to design such networks.
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Date
2011-12-13
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Dissertation