Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks-Reference-Cited by-同舟云学术

Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks

Author:

Eappen Geoffrey¹^ORCID,Cosmas John¹,T Shankar²,A Rajesh³,Nilavalan Rajagopal¹^ORCID,Thomas Joji⁴

Affiliation:

1. Electronic and Computer Engineering, College of Engineering, Design and Physical Sciences Brunel University London UK

2. SENSE Vellore Institute of Technology Vellore Tamil Nadu India

3. School of Electrical and Electronics Engineering SASTRA University Thanjavur Tamil Nadu India

4. Department of Mechanical Engineering Saveetha Engineering College Tamil Nadu India

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

Reference35 articles.

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3. 3D Adaptive Beamforming Approach with a Fine-Tuned Deep Neural Network;2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST);2023-06-28