A Resource Allocation Scheme with Excellent Energy Efficiency Based on the Channel Matrix Sparse

This paper introduces a C-RAN scenario which is overlapping covered with the macrocell, residential microcells, office microcells under different activeness. Due to the large scare-fading in the urban environment, the signal to interference and noise ratio (SINR) between some offices and the family micro base stations are too small to care. Therefore, some interference between micro base stations and user are not considerable. In order to improve the energy efficiency in the CoMP process, this paper presents selective beamforming with channel matrix sparse algorithm. This algorithm greatly reduces the complexity of matrix inversion calculation during beamforming and improves the energy efficiency of the system. Simulation results show that the proposed algorithm can effectively reduce the energy consumption of the baseband and improve the energy efficiency of the system.