Sensing and Secure NOMA-Assisted mMTC Wireless Networks

Throughout this study, a novel network model for massive machine-type communications (mMTC) is proposed using compressive sensing (CS) algorithm and non-orthogonal multiple access (NOMA) scheme. Further, physical-layer security (PLS) applied in to provide secure communication. We first assume that all the legitimate nodes operate full-duplex mode; then, an artificial noise (AN) signal emitted while receiving from head node confuse eavesdroppers (Eve). A convex optimization tool used detect active number of sparsity-aware maximum posteriori (S-MAP) detection algorithm. The sensing-aided secrecy sum rate analyzed compared with without sensing, closed-form expression outage probability mMTC derived. Finally, our numerical results demonstrate impact network; improvement achieved through increasing distance Eve node.