Bio-inspired Relay Selection Algorithm Using Finite Blocklength Regime for URLLC

Abstract

Ultra-reliable and low-latency communication (URLLC) is expected to lead AR/VR, factory automation, transport industry, and power distribution as an important requirement in 5G wireless networks. This class of services could be considered as the most challenging and intriguing part because achieving low latency and ultra-high reliability at the same time is hard. In the 3rd Generation Partnership Project(3GPP) standard, a general URLLC requirement is 99.999% target reliability with 1 ms (two-way) user-plane latency. The reliability here is defined as the percentage of packets that are correctly received within the delay budget. In this paper, a relay selection algorithm based on the Finite Blocklength (FBL) regime is proposed to satisfy high reliability and low latency required in URLLC of 5G systems, using the genetic algorithm (GA). The simulation results showed better performance of the proposed algorithm than of the fixed relay selection.