Spectrum access protocols have been proposed recently to provide flexible and efficient use
of the available bandwidth. Game theory has been applied to the analysis of the problem
to determine the most effective allocation of the users’ power over the bandwidth. However,
prior analysis has focussed on Shannon capacity as the utility function, even though it is
known that real signals do not, in general, meet the Gaussian distribution assumptions of that metric. In a non-cooperative spectrum sharing environment, the Shannon capacity utility function results in a water-filling solution. In this thesis, the suitability of the water-filling solution is evaluated when using non-Gaussian signalling first in a frequency non-selective environment to focus on the resource allocation problem and its outcomes. It is then extended to a frequency selective environment to examine the proposed algorithm in a more realistic wireless environment. It is shown in both scenarios that more effective resource allocation can be achieved when the utility function takes into account the actual signal characteristics.
Further, it is demonstrated that higher rates can be achieved with lower transmitted power,
resulting in a smaller spectral footprint, which allows more efficient use of the spectrum
overall. Finally, future spectrum management is discussed where the waveform adaptation
is examined as an additional option to the well-known spectrum agility, rate and transmit
power adaptation when performing spectrum sharing.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/20316 |
| Date | January 2011 |
| Creators | Jacob-David, Dany D. |
| Contributors | Yongacoglu, Abbas |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0061 seconds