Algorithms for high mobility environment in 5G radio access networks with millimeter wave communications

Many vehicle applications requiring large capacity, minimal latency, and excellent dependability are anticipated to be made possible by 5G. To help with this, 5G suggests using highly focused mmWave networking implementation, denser, more minor cell innovation, and various new sophisticated communications techniques to increase networking bandwidth, lower latency, and offer high dependability. Robust mobility managing strategies are needed in these networks to enable automotive connection wherein the points are very dynamic to reduce transmission costs and disruptions during periodic transfers. Engineers working on technology for communication have to tackle this significant obstacle to fulfil the potential of 5G networks enabling V2X and comparable purposes. Therefore, a new implementation strategy is essential to support 5G functionalities. A possible approach for the 5G system installation optimization challenge is predicted to involve using meta-heuristics. To reduce the number of basis stations (BSs) as well as optimize the assignments in millimetre wave (mmWave) frequency ranges (such as 28 GHz as well as 38 GHz) within the framework of such 5G system while fulfilling customer data rates requirements, a deployment regarding a meta-heuristic method depending upon swarming intelligence is presented in this paper. After that, a sequential procedure is used to eliminate unnecessary BSs.