International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 11 Issue: 10s DOI: https://doi.org/10.17762/ijritcc.v11i10s.7707 Article Received: 10 June 2023 Revised: 30 July 2023 Accepted: 10 August 2023 ___________________________________________________________________________________________________________________ 676 IJRITCC | September 2023, Available @ http://www.ijritcc.org A Comprehensive Investigation of Beam Management Through Conventional and Deep Learning Approach Sheetal Pawar 1 , Mithra Venkatesan 2 1 Research Scholar: E&TC Dept. Dr. D. Y. Patil Institute of Technology Pimpri, Pune Sheetal.pawar@dypvp.edu.in 2 Associate Professor: E&TC Dept. Dr. D. Y. Patil Institute of Technology Pimpri, Pune mithra.v@dypvp.edu.in Abstract5G spectrum uses cutting-edge technology which delivers high data rates, low latency, increased capacity, and high spectrum utilization. To cater to these requirements various technologies are available such as Multiple Access Technology (MAT), Multiple Input Multiple Output technology (MIMO), Millimetre (mm) wave technology, Non-Orthogonal Multiple Access Technology (NOMA), Simultaneous Wireless Information and Power Transfer (SWIPT). Of all available technologies, mmWave is prominent as it provides favorable opportunities for 5G. Millimeter-wave is capable of providing a high data rate i.e., 10 Gbit/sec. Also, a tremendous amount of raw bandwidth is available i.e., around 250 GHz, which is an attractive characteristic of the mmWave band to relieve mobile data traffic congestion in the low frequency band. It has a high frequency i.e., 30 300 GHz, giving very high speed. It has a very short wavelength i.e., 1-10mm, because of this it provides the compact size of the component. It will provide a throughput of up to 20 Gbps. It has narrow beams and will increase security and reduce interference. When the main beam of the transmitter and receiver are not aligned properly there is a problem in ideal communication. To solve this problem beam management is one of the solutions to form a strong communication link between transmitter and receiver. This paper aims to address challenges in beam management and proposes a framework for realization. Towards the same, the paper initially introduces various challenges in beam management. Towards building an effective beam management system when a user is moving, various steps are present like beam selection, beam tracking, beam alignment, and beam forming. Hence the subsequent sections of the paper illustrate various beam management procedures in mmWave using conventional methods as well as using deep learning techniques. The paper also presents a case study on the framework's implementation using the above-mentioned techniques in mmWave communication. Also glimpses on future research directions are detailed in the final sections. Such beam management techniques when used for mmWave technology will enable build fast, efficient, and capable 5G networks.. Keywords-mmwave; beam management; CSI; beam tracking; beam training; beam selection; beam alignment; beamforming. I. INTRODUCTION The evolution of cellular communication from 1G to 5G is necessary with the increase in customers, traffic, and requirements. The enormous use of mobile data and spectrum shortage in the sub-6 GHz band is creating challenges to the current wireless networks. Towards the same, the millimeter- wave technology has various benefits that support its usage of mmwave as prominent technology in 5G. It has a high frequency i.e., 30 300 GHz that will give very high speed [1]. Also, it provides a very short wavelength ranging from 1-10mm, and hence tiny size components can be utilized in mmWave frequency. Further, a tremendous amount of raw bandwidth is available at this frequency band [2]. This will help relieve mobile data traffic congestion in the lower frequency band and provides a throughput of upto 20 Gbps. It has narrow bands as well as increased security and reduced interference. Millimeter waves are susceptible to various propagation factors like atmospheric attenuation due to water and oxygen rain attenuation, free space loss, foliage attenuation, material penetration, and propagation mechanism such as refraction, diffraction, multipath, scattering, and reflection [2]. When the main beam of the transmitter and receiver are not aligned properly there is a problem in ideal communication. To solve this problem beam management is one of the solutions to form a strong communication link between transmitter and receiver. Beam management is used to provide fine alignment between the transmitter and receiver beam [4].