Optimal pricing strategy for resource allocation in 5G heterogeneous cellular networks

Abstract

Heterogeneous networks provide an effective solution to bridge the gap between enormous global traffic demands and limited spectrum resources. In this paper, we investigate the resource allocation problem in fifth‐generation heterogeneous cellular networks from an economic perspective. We consider the open access scenario where any cellular user equipment is allowed to access either the high‐power node or the low‐power node based on its individual payoff. The resource allocation problem is formulated as a pricing problem, which aims at maximizing the total revenue of the service providers under the user admission constraint. Then, the optimal pricing strategies for both the high‐power node and the low‐power node are developed based on the decisions of cellular user equipments. Simulation results demonstrate that the proposed pricing algorithm can achieve the maximum revenue for service providers under various scenarios.

Modeling the relationship between network operators and venue owners in public Wi-Fi deployment using non-cooperative game theory

“…Generally speaking, game theory has been applied for the optimization of various back-end functions of ICT networks such as resource allocation and routing optimizations [11][12][13] but also for optimizing power usage [14] as well as for spectrum sharing [15].…”