Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks

09/25/2019
by   Emma Fitzgerald, et al.
0

In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. For realistic alarm traffic characteristics, on average our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than 1.5 pilots per slot, and even in the worst case it uses around 3.5 pilots in any given slot, with delivery guaranteed in an average of approximately four slots.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/06/2020

Scheduling and Dynamic Pilot Allocation For Massive MIMO with Varying Traffic

In this paper, we consider the problem of joint user scheduling and dyna...
research
11/13/2019

Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)

The minimum frequency-time unit that can be allocated to User Equipments...
research
10/20/2020

Rate Adaptation and Latency in Heterogeneous IoT Networks

This paper studies the effect of rate adaptation in time slotted Interne...
research
02/18/2021

Can Massive MIMO Support URLLC?

We investigate the feasibility of using Massive MIMO to support URLLC in...
research
11/22/2022

Resource Allocation for Uplink Cell-Free Massive MIMO enabled URLLC in a Smart Factory

Smart factories need to support the simultaneous communication of multip...
research
09/17/2021

Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning

We propose a coordinated random access scheme for industrial internet-of...
research
01/11/2021

QMA: A Ressource-efficient, Q-Learning-based Multiple Access Scheme for the IIoT

Contention-based wireless channel access methods like CSMA and ALOHA pav...

Please sign up or login with your details

Forgot password? Click here to reset