209 © 2022 Conscientia Beam. All Rights Reserved. ADAPTIVE BEAMFORMING MODEL FOR 5G HIGH SPEED NETWORKS USING MILLIMETER WAVE COMMUNICATION IN UPLINK Indrabhan Borse 1+ Hitendra Patil 2 1,2 Department of Computer Engineering, SSVPS B.S.Deore College of Engineering, KBC North Maharashtra University, Jalgaon, Maharashtra, India. 1 Email: indrabhan2000@gmail.com 2 Email: hitendradpatil@gmail.com (+ Corresponding author) ABSTRACT Article History Received: 25 July 2022 Revised: 5 September 2022 Accepted: 27 September 2022 Published: 7 October 2022 Keywords Adaptive beamforming Millimeter wave communication Salp-Bird Swarm Optimization Shark Smell Optimization Spectral efficiency systems. Future generation cellular communications will require increased data rates and transmission using millimeter waves (MMWs), which are an emerging concept to meet this need. The MMW frequencies offer the potential for orders of magnitude capacity improvements. However, MMW network connections are more susceptible to blocking, and they suffer from rapid quality differential. The major limitation of offering multiconnectivity in MMWs is the necessity of tracking the direction of every link with its suitable timing and power. Beamforming enables wireless communications, even with higher frequency bands such as the MMW frequency band. The main purpose of this article is to develop an adaptive beamforming approach for 5G millimeter-wave networks. MMW communication efficiency is improved by enhancing the narrowband weights of adaptive beamforming. Here, the Shark Smell Optimization (SSO) and Bird Swarm Algorithm (BSA) are combined to improve the weight update approach of the new Salp-Bird Swarm Optimization (S-BSO) to achieve adaptiveness in beamforming. To demonstrate the effectiveness of the suggested Salp-Bird Swarm Optimization (S-BSO), an experimental comparison is carried out with the current models. Contribution/Originality: A novel Salp-Bird Swarm Optimization (S-BSO) algorithm has been developed in this study to improve the bit error rate to enhance the efficiency of the adaptive beamforming algorithm. 1. INTRODUCTION The key approaches for reaching a high 10 Gbit/s data rate are widely used in millimeter wave (MMW) communication. The MMW communication field has seen an increase in research activity in recent years [1]. In these studies, numerous MMW bands are utilized [2]. MMW bands, which typically range from 30 to 300 GHz and have a large amount of spectrum available to them, are the most significant and have drawn the attention of researchers because they offer the possibility of high Gbps data transfer rates to support seamless connectivity and low expectancy wireless facilities [3]. MMW communications might be different from standard microwave bands due to propagation properties [4]. Ecological factors, including rain, water vapor, and oxygen molecules, have a negative impact on MMW signal propagations and cause severe signal loss [5]. The penetration losses brought on by obstructions such as tress and structures can be more severe for low frequency signals and can even affect the MMW frequency compared to low frequency signals [6]. These obstructions may cause radically different route loss for propagation [7]. For the system analysis to guarantee the MMW networks' correctness and performance, certain elements and special characteristics are necessary [8]. Baseband is where all signal processing is done by one radio frequency (RF) circuit per antenna and is very complex and power-consuming Review of Computer Engineering Research 2022 Vol. 9, No. 4, pp. 209-221. ISSN(e): 2410-9142 ISSN(p): 2412-4281 DOI: 10.18488/76.v9i4.3160 © 2022 Conscientia Beam. All Rights Reserved.