영문내용
(English Abstract) |
In this study, we propose a holography assisted THz single-cell massive multiple-input multiple-output (mMIMO) system that deals with the target oriented communication resource allocation. We propose a mechanism that can minimize the number of active grids from the holographic grid arrays (HGA) for ensuring the requirement of lower power towards the beamforming to serve the target-oriented users. Therefore, we formulate our problem by maximizing the signal-to-noise-interference ratio (SNIR) which in turn maximizes the efficient resource allocation for the users by forming the effective beam shape and controlling sum-power rule. In addition, we develop our mMIMO system for serving heterogeneous user equipment simultaneously with a lower power budget. To devise the artificial intelligence-based solution, we develop a sequential neural network model for grid activation decisions with minimized power constraint. Finally, the experiment result shows that power is allocated efficiently, and effective beams are formed for serving the users. |
