Game theoretic efficient radio resource allocation in 5G resilient networks: A data driven approach

Abstract

In recent years, 5G resilient networks have gained significant attention in the wireless industry. The prime concern of commercial networks is to maximize network capacity to increase their revenue. However, in disaster situations during outages when cell sites are down, instead of capacity, coverage becomes predominant. In this paper, we propose a game theory-based optimal resource allocation scheme, while aiming to maximize the sum rate and coverage probability for the uplink transmissions in disaster situations. The proposed hierarchical game theoretical framework optimizes the uplink performance in multitier heterogeneous network with pico base stations and femto access points overlaid under a macro base station. The test simulations are based on a real-time data set obtained for a predefined amount of time. The data statistics are then manipulated to create practical disaster situations. The solution for the noncooperative game has been obtained by using pure strategy Nash equilibrium. We perform simulations with different failure rates and the results show that the proposed scheme improves the sum rate and outage probability by significant margin with or without disaster scenario.Trans Emerging Tel Tech. 2019;30:e3582.wileyonlinelibrary.com/journal/ett

Resource Allocation Schemes for 5G Network: A Systematic Review

“…In [ 158 ], the authors proposed a game theory-based ideal method for resource allocation, which focused on enhancing the coverage probability and sum rate for uplink communications in critical scenarios. The presented classified game theory architecture improved the performance of a multitier heterogeneous network having uplink communications in alliance with femto access points and pico base stations in the domain of a macro base station.…”

Efficient Resource Allocation Algorithm in Uplink OFDM-Based Cognitive Radio Networks

“…Game and pricing theories are considered essential tools to resolve the problem of RA resourcefully with a lesser amount of complexity. Hence, game theory and pricing techniques are adopted to resolve the problem of RA in CR in a number of research papers, for example [14][15][16][17][18][19][20][21][22][23][24][25]. Optimal resource allocation problem-based noncooperative game theory in the uplink scenario was proposed in [14].…”

“…Hence, game theory and pricing techniques are adopted to resolve the problem of RA in CR in a number of research papers, for example [14][15][16][17][18][19][20][21][22][23][24][25]. Optimal resource allocation problem-based noncooperative game theory in the uplink scenario was proposed in [14]. Noncooperative game model is adopted to enhance the performance of the uplink transmission in 5G network by maximizing the sum rate for an uplink scenario.…”

“…In [15], the authors proposed RA and power control in the device-to-device (D2D) uplink network using a coalitional game. Similar to [14], the authors ignored the analysis of the mathematical model regarding the Nash bargaining solution.…”

“…The proposition below is used to derive the UPPA. Proposition 1: If the mathematical problem in (P.2) is adopted to allocate power to subcarriers, then the power algorithm is modeled according to (14).…”