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The fifth generation (5G) of wireless services has been intended to cater to the demands that will arise as the number of connections increases in the future (Gupta & Jha 2015). 5G networks focus on offering more than 1Gbps speed, upgrading the quality of video streaming apps, lowering latency to less than one millisecond, and improving energy efficiency with enhanced reliability and processing capabilities. (Iwamura et al. 2015). To meet the above-said requirements, Boccardi et al. (2014) advocated a new approach for developing the network demands that have recently evolved, including component and disruptive modifications. 5G has pushed the mobile edge cloud ahead towards end users to reduce end-to-end latency. Rangan et al. (2014) addressed new problems for spatial reuse to manage the available frequencies and throughput in mobility management based on the increasing density of the network. The automation of the entire network operation was ignored. As a result, machine learning techniques and Software Define Networks (SDN) are being implemented into communication networks to handle the overall network complexity of 5G networks. Ambrosus is one of the public-access block-chain ecosystems to safeguard the network, it has over 500 nodes connected in a decentralised fashion. ABC is designed to connect a wide range of IoT devices and ERP software tools.