Inter-Operator Spectrum Sharing in Future Machine-Type Cellular Systems
Date Issued
2012
Date
2012
Author(s)
Lin, Yu-Ting
Abstract
It is predictable that spectrum resources need to be managed well from underutilization with the growth of various wireless applications. Machine Type Communication (MTC) is one of the applications predicted to be the main application causing traffic congestion. According to some properties of MTC network, in this thesis we demonstrate the benefits we can obtain after introducing Inter-operator Spectrum Sharing. The benefits include the improvement of spectrum efficiency and cost reduction of sensor deployment. In the first scenario, distributed game theory and concept of vertical handover are applied to design a distributed algorithm for each users to choose the proper operators. Two types of Nash equilibriums are shown to be reachable in the form of discrete actions and probabilities. This gives the operators the benefit not to construct the information exchange infrastructure. Instead, broadcasting and some requirements are needed such as handover cost.
For cost reduction of sensor deployment, overhearing technique enlarges the potential sensors pool for each operators. Game theory is used to analyze the operators'' interactions in deploying and renting behaviors. This thesis analyzes two possibilities to implement spectrum sharing among operators in MTC network and shows that the mechanism can still work in the scenario of asynchronous broadcasting and multiple base stations, which can give a view for future MTC management.
Subjects
Inter-operator Spectrum Sharing
Queueing Theory
Vertical Handover
Machine-Type Communication
Game Theory
Congestion Game
Annealed Gibbs Sampling
Dynamic Game
Strategic Learning
SDGs
Type
thesis
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