Performance of Ambient Backscatter-Assisted NOMA signalling in an mMTC Network

In this paper, we consider an ambient backscatter communication (AmBC) assisted massive machine type communication (mMTC) network comprising of an access point (AP), a cluster of backscatter devices (BDs), and a user. To achieve mMTC, non-orthogonal multiple access (NOMA) principles are used. When channel state information (CSI) knowledge is available at the AP, it is shown that the BDs can be scheduled intelligently, and the reflection coefficients of the BDs can be carefully chosen to improve the system throughput as well as energy efficiency (EE). For the first time in the literature, analytical closed-form expressions for the outage probability and throughput are derived for a NOMA signaling-based mMTC network considering Rayleigh faded channel coefficients. We confirm the accuracy of our analytical findings and showcase the advantages of the proposed scheme using Monte Carlo simulations.