Nexus-an enhanced network Coverage routing protocol in 6g networks

Abstract

Cellular networks experience the participation of multiple devices every day. Sixth Generation (6G) technology is considered to be the most challenging future generation communication technology, in which new methods for data exchange and communication can be incorporated. 6G brings new ideologies to share information without relying on communication with a fixed Base Station (BS). In case of a post catastrophic situation, the devices need to create an ad-hoc network to communicate under 6G's requirements which includes communication frequency, latency, data rate etc. Generally, Routing in 6G networks is significant for meeting the diverse requirements of ultra-low latency, high throughput, heterogeneous network architectures and energy efficiency. Effective routing protocols and algorithms enable seamless operation of advanced applications and services envisioned for the 6G era. In order to recompense these requirements an enhanced coverage 6G routing protocol, Network Extension and Security Routing Protocol (NEXUS) for 6G networks is proposed. This routing protocol implements efficient AI based approaches namely Supervised Learning (SL), Reinforcement Learning (RL) and Graph Neural Network (GNN) in order to extend the network coverage area. NEXUS also provides a high data rate with acceptable latency, low energy and storage costs.