Power Minimization in Cell-Free Massive MIMO with AP Selection Algorithm

Abstract

The cell-free massive multiple input multiple outputs (CF M-MIMO) is the key and emerging technology for 5G and beyond, which gains more attention from many researchers and academicians. The cell-free M-MIMO enhances the system throughput, latency, spectral efficiency (SE), and energy efficiency (EE) of the communication network. Cell-free massive multiple input multiple output (CF M-MIMO) is the key and emerging technology for 5G and beyond which attracting more attention of many researchers and academicians. Cell-free M-MIMO can improve the system throughput, latency, spectral and energy efficiency (S & EE) of communication network In this paper, we formulate a framework for joint access point selection (APS) and power control algorithm for improving the EE and at the same time maintaining the system capacity. The max-min power control algorithm is used for efficient power allocation among the access points (APs) by using the minimum mean square error (MMSE), zero-forcing (ZF), and conjugate beam-forming (CB). In this thesis, we formulate a framework for joint access point selection (APS) and power control algorithm for improving the EE at the same time maintain the system capacity. The max-min power control algorithm is used to efficient power allocation among the access points. Moreover, by using the minimum mean square error (MMSE), zero-forcing (ZF) and conjugate beam-forming (CB), we successfully able to enhance and maintain the optimal system capacity We were successfully able to enhance and maintain the optimal system capacity of the cell-free M-MIMO systems. The simulation result shows the system capacity improvement when efficiently allocates the power among the access points. The simulation result shows that the system capacity is improved when efficiently allocating the power with max-min power control algorithm. NA