Analysis of Internet of Things (IoT) Networks Using Extrinsic Information Transfer (EXIT) Chart

The Internet-of-Things (IoT) is estimated to be deployed to serve billions of devices constructing super-dense networks, of which the performances are depending on the multiuser detection (MUD) capabilities to support more devices. This paper analyzes the decoding behaviour of Narrowband IoT (NB-IoT) and Single Carrier IoT (SC-IoT) networks using extrinsic information transfer (EXIT) chart to observe their throughput performances in low and high volume traffics. NB-IoT uses slotted ALOHA as its multiple access technique that discards collided packets, while SC-IoT uses coded random access (CRA) scheme, where the collided packets are to be resolved using successive interference cancellation technique, which is equivalent to peeling decoding at packet level. We also analyze network performances in terms of packet-loss-rate (PLR) and throughput using a series of computer simulations. Our results confirmed that SC-IoT using CRA has better performance than NB-IoT in terms of PLR, throughput, and gap of EXIT chart indicating that SC-IoT based on CRA scheme is a promising scheme for future IoT to serve massive number of users or devices.