Multi-antenna relay based cyber-physical systems in smart-healthcare NTNs: an explainable AI approach

In a generic modern multi-antenna relay system, the incremental cooperative networks use the neighbor nodes to assist the source by sending the source message to the destination for achieving spatial diversity. Therefore, the involvement of cyber-physical Systems (CPS) in smart healthcare has proportionately improved in terms of the relaying schemes. These schemes are equally implicated to terrestrial and non-terrestrial networks. For any non-terrestrial-networks (NTN), the computational intelligence in terms of artificial intelligence (AI) plays a viral role, the work have introduced a novel paradigm of NTN applications using Explainable-artificial intelligence (X-AI) approach. Initially, we propose and analyze a new cooperative relaying scheme for the incremental multi-antenna relays system; namely, incremental multi-antenna relays cooperation with a hybrid relaying scheme (IMARC-H). The IMARC-H, either Amplify-and-forward (AF) or Decode-and-forward (DF) uses relaying scheme based on the X-AI approach. Mathematical formulations have been deducted to support an optimal relationship between signal-to-noise ratio (SNR) and neighbour nodes in the physical layer. The simulations are presented to showcase the validation of the work. The analysis of the obtained simulation results shows that the proposed scheme outperforms in minimizing Bit-Error-Rate (BER) and outage probability as compared to the existing CPS-based relaying schemes such as IMARC-AF, IMARC-DF, etc.