{'fraction_non_alphanumeric': 0.021086780210867802, 'fraction_numerical': 0.0, 'mean_word_length': 5.201005025125628, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Radio access network selection mechanism based on hierarchical modelling and game theory

This paper addresses the dilemma faced by the users while selecting the most suitable network in a heterogeneous wireless environment with a combination of hierarchical evaluation of networks and game theory. Analytical hierarchy process (AHP) is used to establish a hierarchy among network evaluation criteria for different types of service requests. Network hierarchy achieved from the AHP analysis is then combined with game theory to find out optimum network for specific service request. The actual weights of each network for specified service is calculated with the combination of AHP scores based on static network attributes (e.g. delay, loss, jitter, security, bandwidth requirement etc.) and dynamic radio parameters (e.g. signal strength, loading condition etc.) experienced by the users. We form a strategic game where network scores of different service requests for different radio access networks (RANs) and users willingness to pay the network providers for the service requests are used to model a network vs. user game. The Nash equilibriums of this game represent the RANs selected by each user resulting in highest payoff.