WmA-MiFN: A Weighted Majority and Auction Game Based Green Ultra-Dense Micro-Femtocell Network System

Abstract

Power optimization and interference management in ultra-dense small cell based fifth-generation mobile networks are critical issues. This paper proposes a two-tier micro-femtocell based heterogeneous ultra-dense cellular network system, where femtocell allocation takes place inside the microcell based on user density. The femtocells form groups according to the adjacency and the leader selection of each group is performed using weighted majority game. Dedicated frequency allocation is performed for micro- and femtocell users though the leader of each femtocell group allocates frequencies to its follower femtocells based on auction game. Agilent EXG vector signal generator N5172B, EXA vector signal analyzer 9010A, and Agilent signal studio software are used for experimental purpose for performance evaluation of the proposed network. According to the simulation results, the proposed network decreases power transmission by 23%–41%, improves signal-to-interference-plus-noise ratio by 12%–39% and spectral efficiency by 10%–37% than the existing competing heterogeneous cellular network systems.