Joint Pilot and Payload Power Allocation for Massive-MIMO-Enabled URLLC IIoT Networks

Hong Ren,Yansha Deng,Arumugam Nallanathan,Maged Elkashlan,Cunhua Pan

doi:10.1109/jsac.2020.2980910

Abstract

The Fourth Industrial Revolution (Industrial 4.0) is coming, and this revolution will fundamentally enhance the way the factories manufacture products. The conventional wired lines connecting central controller to robots or actuators will be replaced by wireless communication networks due to its low cost of maintenance and high deployment flexibility. However, some critical industrial applications require ultra-high reliability and low latency communication (URLLC). In this paper, we advocate the adoption of massive multiple-input multiple output (MIMO) to support the wireless transmission for industrial applications as it can provide deterministic communications similar as wired lines thanks to its channel hardening effects. To reduce the latency, the channel blocklength for packet transmission is finite, and suffers from transmission rate degradation and decoding error probability. Thus, conventional resource allocation for massive MIMO transmission based on Shannon capacity assuming the infinite channel blocklength is no longer optimal. We first derive the closed-form expression of lower bound (LB) of achievable uplink data rate for massive MIMO system with imperfect channel state information (CSI) for both maximum-ratio combining (MRC) and zero-forcing (ZF) receivers. Then, we propose novel low-complexity algorithms to solve the achievable data rate maximization problems by jointly optimizing the pilot and payload transmission power for both MRC and ZF. Simulation results confirm the rapid convergence speed and performance advantage over the existing benchmark algorithms.

Highlights

I NDUSTRY 4.0 has been envisioned as the future paradigm for the generation of industrial systems, which integrates advanced manufacturing functions with the industrial internet-of-things (IIoT) to create a more intelligent and automatic digital manufacturing system [1]
Due to the channel hardening effect, in this paper we focus on the ergodic achievable data rate that is defined as Rk = E {Rk}, where the expectation is taken over the randomness of hk, hk, ∀k
We provide simulation results to demonstrate the effectiveness of our proposed algorithms for industrial automation systems

Summary

Introduction

I NDUSTRY 4.0 has been envisioned as the future paradigm for the generation of industrial systems, which integrates advanced manufacturing functions with the industrial internet-of-things (IIoT) to create a more intelligent and automatic digital manufacturing system [1]. Wired lines are vulnerable to wear and tear in motion control applications, and suffer from aging. They cannot be deployed in some harsh environments, such as those with high temperatures and rotating part. To make Industry 4.0 a reality, it is imperative to design wireless networks tailored for industrial applications to replace the traditional wired lines. Typical industrial applications require deterministic communications with ultra reliability (1−10−9) and low latency (1 ms), such as factory automation (FA) [2], power system protection (PSP), and power electronics control (PEC) [3]. Significant research efforts have been devoted to the design of wireless communications in industrial applications. More efforts should be devoted to the design from the physical layer perspective of view

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Conclusion