Enhanced Random Access Protocols for Massive IoT based on Advanced Physical Layer Processing

Abstract

Random Access protocols can be thought as deriving protocols fro Massive IoT based networks. Based on this we carried out our analysis on Slotted ALOHA and CSMA considering the advancements at the Physical Layer. There exists a great problem in MAC layer protocols like CSMA, Slotted ALOHA in terms of throughput due to high collisions in large-scale networks like IoT systems. A comparison of Slotted ALOHA is done with CSMA in terms of Throughput and Probability of Success considering the Capture Effect along with Successive Interference Cancellation (SIC). The role of MAC layer and the Physical layer is studied with the outcomes, based on that we divided the the analysis in two regimes, low threshold regime and high threshold regime. For low threshold regime, i.e low values of required Signalto-Interference Noise ratio (SINR), it turns out that the Physical layer is responsible for improving system performance, while for high threshold regime the main bottleneck is the MAC protocol, since collisions are mainly responsible for the performance degradation.