Value of the spectrum in the mobile communications : the case of ASA framework
1University of Oulu, Oulu Business School, Department of Management and International Business, International Business
|Online Access:||PDF Full Text (PDF, )|
|Persistent link:|| http://urn.fi/URN:NBN:fi:oulu-201401171044
|Publish Date:|| 2014-01-21
|Thesis type:||Master's thesis
In recent years, the popularity and importance of mobile services increase rapidly thus increasing the demand towards spectrum resources. However, these resources are usually scarce and costly. Therefore, efficiently allocating the scarce resources is crucial. The Licensed Spectrum Access (LSA) approach has been introduced for efficient utilization of spectrum by using cognitive radio system (CRS) technology. One specific technique of LSA for mobile communications is Authorized Shared Access (ASA). In this thesis, the relevance of ASA for efficient spectrum utilization in mobile communications towards several ASA’s stakeholders of the spectrum resources (i.e., the regulatory bodies, the incumbent, the Mobile Network Operators (MNO)s and the society) are studied. Later, the methods of spectrum management, spectrum valuation and spectrum pricing are further explored. To analyze the value of the ASA spectrum, this thesis carried out a study to evaluate the viability of spectrum sharing by investigating the tragedy of anticommons and the tragedy of commons theories. Based on these theories, it is concluded that ASA spectrum sharing is capable of enhancing the spectral efficiency by avoiding the underutilization and overutilization (i.e., inefficient resource allocation) of the spectrum resources. Nevertheless, each group of ASA stakeholders has different interest on the spectrum, which complicates the valuation. To address this problem, the value of the spectrum is first categorized into three different groups; the regulatory value, the business value and the engineering value. After determining the influential factors on the value of the ASA spectrum for each category, multiple regression analysis of auctions in 12 EU countries between year 2009- 2013 is conducted to analyze the impact of each variable on the value of the ASA spectrum. The significance of influence and accuracy of each scenario is analyzed and derived through extensive evaluation of multiple scenarios. The results of the analysis are reflected in the thesis.
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