Noncoherent and Non-orthogonal Massive SIMO for Critical Industrial IoT Communications

TL;DR

This paper introduces a novel noncoherent, non-orthogonal massive SIMO framework for ultra-reliable, low-latency industrial IoT communications, leveraging large antenna arrays and joint constellation design to improve error performance.

Contribution

It proposes a new massive SIMO system with noncoherent and non-orthogonal techniques tailored for critical IIoT, including constellation optimization and error analysis.

Findings

Lower error probability compared to existing methods

Effective joint constellation design reduces system errors

Demonstrates feasibility for ultra-reliable IIoT communications

Abstract

Towards the realization of ultra-reliable low-latency wireless communications required in critical industrial Internet of Things (IIoT) applications, this paper presents a new noncoherent and non-orthogonal massive single-input multiple-output (SIMO) framework, in which a large number of antennas are deployed to provide high spatial diversity so as to enable ultra-reliable communications, and noncoherent transmission and non-orthogonal multiple access techniques are applied to effectively reduce the latency at the physical and data link layers, respectively. A two-user IIoT system is considered to elaborate the key design principle of our framework, in which two controlled nodes (CNs) transmit their data to a common managing node (MN) on the same time-frequency resource block, and the MN implements the noncoherent maximum likelihood detector to recover the transmitted symbols of both CNs from the received sum signal. We analyze the error performance of the considered system and then minimize the system error probability by jointly designing the constellations of both CNs. Simulation results show that our design has lower error probability than existing designs.