Please use this identifier to cite or link to this item: http://prr.hec.gov.pk/jspui/handle/123456789/14905
Title: Grame-Theoretic Solutions for Mobile Data offloading in Next Generation Cellular Networks
Authors: Asif, Muhammad
Keywords: Physical Sciences
Computer & IT
Issue Date: 2020
Publisher: Kohat University of Science and Technology, Kohat
Abstract: In recent years, global mobile data traffic has seen an unprecedented increase. This is due to the worldwide usage of smart devices, the availability of fast internet connections, and the popularity of social media. The Mobile Network Operators (MNOs) are, therefore, facing problems in handling this huge traffic flow. Each type of traffic, including real-time video, audio, and the text has its Quality of Services (QoS) requirements which, if not met, may cause a sufficient loss of profit. Offloading of these traffics can be made more efficient so that values of QoS parameters are enhanced. In this work, we first study the various incentive-based algorithms for offloading. We propose an incentive-based game-theoretic framework for downloading and uploading data. The download of each type of data will get an inducement determined through the leader and follower game; we model the communication in the middle of only Mobile Base Station and multiple carriers Wi-Fi in a crowded municipal environment. The leader offers an economic incentive based on the traffic type and followers react to the inducement and divest traffic accordingly. The schema optimizes strategies of both the MBS and APs to make the best use of their utilities. For the analysis, we have used a combination of analytical and experimental methods. The numerical outcome characterized a direct process of the best possible offloading percentage and endorsed the efficiency of the planned two-step game. Optimal incentives and optimal offloading was the achievement of our proposed game-theoretic approach. We have implemented the proposed algorithm in programming language MATLAB, and the experimental outcome illustrates a maximum outcome be achieved and the proposed system finds NE (Nash Equilibria). The experimentation fallout also shows that the planned model enhanced the QoS xviii during the cellular network system. We found that the proposed traffic types based game achieve a unique Stackelberg equilibrium.
Gov't Doc #: 20237
URI: http://prr.hec.gov.pk/jspui/handle/123456789/14905
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

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