System Level Integration of Irregular Repetition Slotted ALOHA for Industrial IoT in 5G New Radio

Abstract

Automation is a key part of the new industrial revolution, that will be enabled by the deployment of thousands of sensors and actuators. The flexible deployment of these devices requires wireless connectivity which is labeled as industrial internet of things, IIoT. The sporadic activity pattern of IIoT devices naturally suggest the use of random access techniques, albeit posing new and unexplored challenges for the current wireless networks. On top of the demand for new access protocols, the latency-reliability requirements further challenge the existing random access protocols. In this work we investigate the adaptation of a well known modern random access algorithm, Irregular Repetition Slotted ALOHA (IRSA) to IIoT in 5G New Radio. The key contribution of the paper is the proposed system level protocol, Adaptive-Multichannel IRSA, that can fulfill the latency-reliability requirements. On top of this, the definition and solution of the resource allocation problem as a resource efficiency optimization guarantees that the algorithm minimizes the system resources. We show that for a set of specific requirements, AMC-IRSA can fulfill the requirements in a lot resource efficient manner. Lastly, we analyze most critical parameters to consider for integration of IRSA for 5G NR.

Raptor-Irsa Grant-Free Random Access Protocol for Smart Grids Applications

“…Then IRSA protocol design in [6] considers Poisson traffic, i.e., constant mean arrival even in SS applications with a disrupted appearance. On the other hand, the traffic model in [44] considers the Beta distribution that implicitly requires a time-varying mean parameter, i.e., this traffic model accounts for the non-stationarity arrivals. Hence, the arrival distribution of the M v active users in SG applications can be modeled by a Poisson or Beta distributions [44], [45] frames relies on latency limitations.…”

“…On the other hand, the traffic model in [44] considers the Beta distribution that implicitly requires a time-varying mean parameter, i.e., this traffic model accounts for the non-stationarity arrivals. Hence, the arrival distribution of the M v active users in SG applications can be modeled by a Poisson or Beta distributions [44], [45] frames relies on latency limitations. Indeed the worst-case scenario implies a user decoded following the expiration of the IRSA frame.…”

Short Frame Length Approximation for IRSA

“…Modern random access algorithms instead avoid over-provisioning through the use of Interference Cancellation (IC) [4]. A recent work [5] has discussed their adaptation to 5G without reliability guarantees.…”