Distributed vs centralized game theory-based mode selection and power control for D2D communications

Abstract

The exponential growth cellular networks traffic has driven academia and industry to consider new channel access methods in addition to the conventional infrastructure-based access via cellular nodes. Long-Term Evolution-Advanced (LTE-A) techniques are suggested by the 3rd generation partnership project (3GPP), in order to offer both higher spectrum efficiency and data rate. In fact, LTE-A has attracted a great attention in the cellular domain, since it improves the LTE by proposing a lot of variety in terms of new techniques such as carrier aggregation, multiple-input multiple-output (MIMO), device-to-device (D2D) communications, etc. Notably, D2D communications underlaid offer several advantages for the LTE-A, as wireless peer-to-peer services and higher spectral efficiency. In LTE-A, the power control and resource allocation algorithms can generally be categorized into two classes: centralized and distributed approaches. In fact, power control and resource allocation are performed by the base station in centralized approach and by the UEs in distributed one.In this investigation, we propose first a mode selection approach based on a predetermined SINR threshold, which is required by each kind of user: cellular and D2D users. The amount of minimum and maximum power are then derived to fulfill the predetermined requirements, by limiting the interference created by underlaid D2D users. Unlike the previous works, this paper provides a mathematical demonstration to achieve the minimum amount of power (Pareto power), which satisfies the requirements imposed by both users. Second, a centralized power control approach, which aims to generalize a classical approach for more than one cellular user is proposed. Third, a distributed power control approach is modeled as a non-cooperative pure game between the different types of users in order to maximize the two cellular and D2D utility functions. Finally, these proposed centralized and distributed power control approaches are compared with a classical centralized one, in terms of coverage probabilities for both cellular and D2D users.