Use this URL to cite or link to this record in EThOS:
Title: Opportunistic spectrum sharing system : regulatory, technical and stakeholder perspectives
Author: Kawade, S. S.
ISNI:       0000 0004 5363 463X
Awarding Body: University College London (University of London)
Current Institution: University College London (University of London)
Date of Award: 2014
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
An overview of current spectrum management methods was carried out and it was decided that to be able to accommodate the predicted explosive growth in wireless data services changes would have to be made to avoid spectrum depletion becoming a very serious future problem. In addition, a review of numerous spectrum exploitation studies and measurement campaigns showed that nationally spectrum was being significantly underexploited. To address this apparent anomaly, it was decided that finding a means for improving spectrum exploitation nationally may provide a potential solution for the spectrum depletion problem. This is referred to as spectrum sharing, the focus for the DEng research. A new spectrum management model named Opportunistic Spectrum Management (OSM) is proposed on the basis that all spectrum licenses are awarded on a non-exclusive usage basis and spectrum use is based on a multi-level priority structure, because certain types of services require performance and spectrum availability guarantees. The proposed model retains backward compatibility with the traditional spectrum management model and its recent enhancements. To fully exploit the OSM model, the thesis proposes an automated spectrum management system name Opportunistic Spectrum Sharing System (OSSS) capable of dynamically allocating spectrum and enforcing spectrum usage priority rules both nationally and in real-time. OSSS overcomes limitations of traditional sensing based cognitive radio technology primarily its inability to distinguish between different spectrum usage classes and the hidden node problem. A key issue associated with computing acceptable power levels in an automated spectrum sharing system produced over-optimistic results. The thesis shows how this can be extended to improve its accuracy without compromising its closed form nature. Finally, the thesis concludes with a discussion of the implications and commercial benefits of opportunistic spectrum sharing from the perspectives of various wireless stakeholders, which is supported by extracts from the author’s various publications.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available