| 한글제목(Korean Title) |
Artificial Intelligence Framework for Intelligent Omni-Surface Assisted Holographic MIMO using Sequential Neural Network Model |
| 영문제목(English Title) |
Artificial Intelligence Framework for Intelligent Omni-Surface Assisted Holographic MIMO using Sequential Neural Network Model |
| 저자(Author) |
Apurba Adhikary
Avi Deb Raha
Sumit Kumar Dam
Sang Hoon Hong
Choong Seon Hong
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| 원문수록처(Citation) |
VOL 49 NO. 02 PP. 1014 ~ 1016 (2022. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The coming 6G wireless communication networks are expected to increase the wireless coverage area to support the increasing demand of the users with the lower consumption of power. Therefore, intelligent omni-surface (IOS) assisted holographic MIMObased communication system is proposed that extends the wireless coverage area with minimized power on either side of the base station. An optimization problem is formulated to maximize the channel capacity of the system that can support both reflective channel users and refractive channel users utilizing joint sensing and communication. An artificial intelligence framework is proposed to solve the formulated optimization problem. Firstly, long short-term memory (LSTM) method is utilized to reconstruct the zenith angle and azimuth angle to obtain the user information. Afterward, gated recurrent unit (GRU) is used to allocate communication resources for beamforming to heterogeneous users based on the evaluation of the LSTM method. Finally, the simulation results ensure the effectiveness of the proposed artificial intelligence framework with the efficient reconstruction of angles and required communication resource allocation with a mean absolute error (MAE) of 0.037. |
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| 파일첨부 |
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