Genetic Algorithm Based BER Aware Channel Selection Using Break Point Technique For Next Generation Milli-Meter (mm) Wave Communication Systems

Due to exponential increase in communication speed when shifting from 4th Generation 4G 5G networks, there is a requirement redesign equipment support spectrum ranges 450 MHz 52.6 GHz, which makes them operate at very high speeds. In order maintain good performance while operating this bandwidth, millimeter waves (mmWaves) are used. As radius increases, the BER also increases linearly, limits range of these equipment’s, thereby incurring higher deployment costs. reduce costs, and design mmWave components work for larger areas, text proposes Genetic optimization architecture that uses intelligent channel modelling selection. The designed during threshold breakpoint occurs, improving speed, overall throughput. It exploits long-ranged loopback communications automatically tune internal transmission parameters supporting areas with minimum packet loss. underlying model tested on various types, different network scenarios, under noise conditions. observed proposed outperforms original models terms reduction by 8% coverage 6%, making it applicable wider geographical areas. This results reduced better quality service (QoS), assisting design.