Radio Resource Allocation for Industrial IoT

Abstract

Ultra-Reliable Low Latency Communications (URLLC) and especially those related to the Industrial Internet of Things (IIoT) are characterized by a large number of users transmitting sporadically information to a central controller, but requiring extremely stringent latency and reliability, . We show that, in systems with episodic traffic and many users compared with the number of transmission resources, randomly transmitting multiple copies of a packet allows to meet the URLLC requirements. We develop analytical models for the packet loss rate for two contention based multiple transmission schemes and show that one dominates the other in the parameter range for which the URLLC requirements are met. We then show on a possible radio setting for 5G, an example of radio resource dimensioning for different user traffic levels and we illustrate how the latency constraint may limit the allowable traffic for a given radio bandwidth.

Short Bio

Salah Eddine Elayoubi received his M.S. degree in telecommunications from the National Polytechnic Institute of Toulouse, France, in 2001, and his Ph.D. and Habilitation degrees in computer science from the University of Paris VI, France, in 2004 and 2009, respectively. From 2004 to 2017 he was with Orange Labs in France. Since January 2018, he is an associate professor at CentraleSupélec, France. In the past years, he has been coordinating several National and European research projects on future networks and acted as head of the 5G vision workgroup at the 5G Infrastructure Association (5G IA). His research interests include radio resource management, modeling, and performance evaluation of mobile and IoT networks.

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