Cost-Effective Communication in UDN in Indoor and Outdoor Environment via Machine Learning

Author:

Karman K Nattar1,Velmurugan V.2,Raju Kommisetti Murthy3,Sajana T.4,Vijayalakshmi V.5,Dhanraj JoshuvaArockia6

Affiliation:

1. Saveetha School of Engineering,Departmeru of Artificial Intelligence and Machine Learning,Chennai,Tamil Nadu,India,602105

2. Vel Tech Rangarajan and Dr.Sagunthala R&D Institute of science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India,600062

3. Shri Vishnu Engineering College for Women,Department of Electronics and Communication Engineering,West Godavari,Andhra Pradesh,India

4. KoneruLakshmaiah Education Foundation,Department of Artificial Intelligence and Data Science,Vaddeswaram,Andhra Pradesh,India,522502

5. School of Computing, SRM Institute of Science and Technology,Department of Networking and Communications,Kattankulathur,Tamil Nadu,India,603203

6. Centre for Automation and Robotics (ANRO), Hindustan Institute of Technology and Science,Department of Mechatronics Engineering,Chennai,Tamil Nadu,India,603103

Publisher

IEEE

Reference15 articles.

1. Adaptive Beamforming for mmWave 5G MIMO Antennas

2. Network Densification Impact on System Capacity

3. An international Master's program in green ICT as a contribution to sustainable development

4. Energy performance of 5G-NX wireless access utilizing massive beamforming and an ultra-lean system design;tombaz;2015 IEEE Global Communications Conference (GLOBECOM),0

5. Ultra Massive MIMO as an alternative to Ultra dense network: Benefits and Challenges.

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