Incentive-Based Schema Using Game Theory in 5/6G Cellular Network for Sustainable Communication System

Muhammad Asif, Eid Rehman (), Tahir Saleem, Muhammad Abid, Muhammad Habib, Muhammad Aslam and Syeda Fizzah Jilani
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Muhammad Asif: Higher Education Department, Government Post Graduate College Kohat, Kohat 26000, Pakistan
Eid Rehman: Department of Software Engineering, Foundation University Islamabad, Islamabad 44000, Pakistan
Tahir Saleem: Institute of Computing, Kohat University of Science and Technology, Kohat 26000, Pakistan
Muhammad Abid: Higher Education Department, Government Post Graduate College Kohat, Kohat 26000, Pakistan
Muhammad Habib: Department of Software Engineering, Foundation University Islamabad, Islamabad 44000, Pakistan
Muhammad Aslam: School of Computing Engineering and Physical Sciences, University of West of Scotland, Glasgow G72 0LH, UK
Syeda Fizzah Jilani: Department of Physics, Physical Sciences Building, Aberystwyth University, Aberystwyth SY23 3BZ, UK

Sustainability, 2022, vol. 14, issue 16, 1-20

Abstract: Due to the technological advancement in cellular networks, massive data traffic appends to the existing digital technologies. These emerging digital technologies face quality of service (QoS) challenges, particularly when it comes to maintaining the tradeoffs between customers and service providers. The cellular service providers are trying to meet the needs of end users by handling four substantially different types of data, i.e., Real Time, Video, Audio, and Text, with each type having its own requirements. To achieves an efficient QoS, different incentive-based algorithms were proposed. However, these schemes do not ensure a fair distribution of profit among the mobile network operator and access points. Furthermore, these schemes do not provide efficient QoS to the end user and cannot ensure a fair distribution of channels in crowning time. We propose an incentive-based scheme using game theory and two-stage Stackelberg approach for integrated data, offloading the decision-making process in a heterogeneous network. A single mobile base station and some integrated access points in a crowded metropolitan area are modeled in our proposed scheme. This station offers an economic incentive based on traffic types, and access points compete with each other to earn incentives for offload traffic. A mathematical game is derived to analyze the real-world scenario through simulation. The experimental method is applied to validate the numerical outcomes by comparing the results with other models.

Keywords: cellular networks; digital technologies; game theory; Stackelberg approach; Nash equilibrium (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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