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Identifier 000402837
Title A multi-layer game-theoretical framework for modeling wireless access and spectrum markets
Alternative Title Ένα παιγνιοθεωρητικό πλαίσιο μοντελοποίησης πολλαπλών επιπέδων για την ανάλυση αγορών ασύρματης πρόσβασης και φάσματος
Author Φορτετσανάκης, Γεώργιος Ηρακλής
Thesis advisor Παπαδοπούλη, Μαρία
Reviewer Τραγανίτης, Απόστολος
Κουρμουμπέτης, Κωνσταντίνος
Εφραιμίδης, Αντώνιος
Τσακαλίδης, Παναγιώτης
Σταμούλης, Γεώργιος
Δημητρόπουλος, Ξενοφώντας
Abstract Advances in networking and regulatory changes on access and competition rules enable new network architectures, service paradigms, and partnerships. Unlike traditional spectrum and wireless access markets, new types of markets are formed that have larger sizes, are more diverse, and can offer an improved set of services. The analysis of such markets is challenging due to a plethora of phenomena that manifest in different spatio-temporal scales. The main contribution of this thesis is the development of a modular multi-layer modeling framework for analysing wireless access and spectrum markets. This framework employs game theory, queueing-theoretical models, network economics, and clustering algorithms to instantiate a market at multiple levels of detail. It allows providers to distinguish user sub-populations with different profiles that depend on various parameters, such as, the willingness-to-pay, quality of service requirements, and traffic demand and model their decision making separately. As the number of user sub-populations that providers consider increases, the level of detail in the analysis also increases but so does the computational complexity. The goal of a provider is to select the appropriate level of detail that results in high revenue benefits and requires a low computational cost. The framework considers several providers, each potentially offering multiple dataplans. It also models the user decision making in a realistic manner assuming that they do not always make the optimal decisions in terms of the offered prices and quality of service. To reduce the computational complexity even further, it also develops a network decomposition methodology and algorithm based on the theorem of Norton. This algorithm computes equivalent queueing network models for a specific region of interest omitting the details of the entire networks of providers. Based on the modeling framework, various market cases with strong commercial interest have been analysed, e.g., WiFi offloading, secondary spectrum markets for capacity enhancement, pricing via market segmentation, and the flex service, a novel paradigm that allows users to dynamically select their provider. The analysis indicates that when there is a strong correlation between the user willingness-to-pay and quality of service requirements, providers achieve revenue benefits when they model users with a larger number of sub-populations. When those parameters are independent, in some cases, providers may lose revenue when they model users in the same level of detail. This framework can be the basis of a software tool that enables providers to perform a detailed cost-benefit analysis of different market cases.
Language English
Subject Access markets
Game theory
Multi-layer models
Network economics
Wireless networks
Αγορές ασύρματης πρόσβασης
Ασύρματα δίκτυα
Θεωρία παιγνίων
Μοντέλα πολλαπλών επιπέδων
Οικονομικά δικτύων
Issue date 2016-11-18
Collection   Faculty/Department--Faculty of Sciences and Engineering--Department of Computer Science--Doctoral theses
  Type of Work--Doctoral theses
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