Novel Method of Game-Based Energy Efficient Subcarrier Allocation for IoT

Abstract

Since there is a competition between subcarriers of Internet of Things (IOT) because FBMC (Filter Bank Multicarrier) modulation technology does not need subcarriers to be orthogonal to each other, we consider the game method to optimize subcarrier allocation. Considering the height of secondary user and base station's antenna, the total data transmission rate limit, total power consumption constraint and power consumption constraint on a single subcarrier, a nonlinear fractional programming problem is established where maximum energy efficiency is the objective function, total data transmission rate limit, total power consumption constraint and power consumption constraint on a single subcarrier are constraint conditions. Through experimental simulation, EESA- EG proposed in this paper gives the most reasonable subcarrier allocation scheme, allocates more subcarriers for the subcarriers with better channel state and the energy efficiency in EESA-EG is optimal.