Energy aware resource control mechanism for improved performance in future green 6G networks

Abstract

The increasing power consumption and the energy crisis owing to several billion of connected devices raises concern. The battery powered devices or mobile terminals consume a lot of power and led to huge energy overhead. Thus, the need is to design energy sustainable networks which aims for optimum utilization of power resources. 6G enabled networks offer enhanced network coverage along with green communication capabilities and energy-aware resource management. Cell-free Massive MIMO is a promising 6G technology which offers power optimization by allowing only a subset of access points (APs) to serve a particular user. In this paper, the performance of the proposed network is evaluated for different power control methods. The average mean square error (MSE), average signal-to-noise ratio (SNR) and spectral efficiency (SE) are obtained for different users,transmit powers and pilot lengths. An efficient resource management algorithm namely, MIPA-MCAS is proposed which offers Minimum Interference Power Allocation and Maximum Channel gain AP Selection. It is observed that the spectral efficiency obtained at 95% of all user locations improves by 3.39% with the proposed algorithm. In the end, a comparative analysis is carried out with two other algorithms namely, Round-Robin Power Allocation and Maximum Channel gain AP Selection (RRPA-MCAS) and Random Power Allocation and Maximum Channel gain AP Selection (RPA-MCAS) for the proposed and conventional system models.