Hybrid Optimization Algorithm For 5g Networks

Abstract

Compared to 4G networks, the 5G networks needed loads of resources, as they implement 2 completely different frequency bands (Sub-6 gigacycle and 24-30 GHz). These further items of kit at high frequency, shouldn't result in a lot of energy consumption. therefore, there was the necessity for associate improvement algorithmic program which will with efficiency allot the 5G resources maintaining the standard of service. within the current manuscript, we tend to projected the mix of 3 nature-inspired algorithms (Dragonfly, Bee-Swarming, Moth-flame algorithm) that result in the next economical 5G network. we tend to achieved energy potency up to twenty-three.2 Mbps per unit watt consumption with a minimum BER of zero.2 for SNR of 14dB and knowledge Transmission delay was reduced to three hundred microseconds wherever the common is taken into account over 5000 packets. we tend to believe the novel approach projected by North American country will be used not just for deploying 5G networks however may also be any be supported to 6G networks.