Apurba Adhikary  Avi Deb Raha  Monishanker Halder  Mrityunjoy Gain  Ji Su Yoon  Seong Bae Park  Choong Seon Hong

10.5626/JOK.2024.51.1.93

holographic MIMO Transformer power allocation locations tasks

Future communication networks are expected to provide improved throughput data services with minimal power for beamforming. The location-dependent and task-oriented resource allocation approach for holographic beamforming ensures the improvement of the channel capacity for the users by activating the required number of grids from the holographic grid array. An optimization problem is obtained for maximizing the channel capacity considering the location and task priority of the users. In this study, a Transformer-based approach that allocates the required power for serving the users to generate holographic beamforming is proposed as the solution for the optimization problem. The simulation results demonstrate that the proposed location-dependent and task-oriented Transformer-based approach effectively allocate power for holographic beamforming to serve the users.