Secured AI guided Architecture for D2D Systems of Massive MIMO deployed in 5G Networks

Abstract

Security issues arises with the massive elevation in quantity of mobile users along with high data rate services proposed by 5G networks. D2D communication technique is an optimized method to support various demands on massive data transfer rates among the users in 5G networks. Massive MIMO (Multiple-input and Multiple-output) based antenna systems are deployed to achieve these huge data demands in 5G technology. However, the drawbacks owing to expanding computational overhead in methods of allocating resource, reducing interference, energy optimization and several other problems in D2D networks are compromised with the help of emerging technology of Explainable Artificial Intelligence (XAI). Furthermore, a novel approach based on AI is implemented with an Architectural design for D2D network in decision making over the implementation of techniques based on the persisting situation in the D2D network. Finally, Security protocols based on network demands are implemented through AI in D2D Communications of Massive MIMO based 5G Networks