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

초록

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.

제목
Bio-inspired Relay Selection Algorithm Using Finite Blocklength Regime for URLLC
저자
Ryu, Won Jae; Kim, Dong Seong; Shin, Soo Young
발행일
2020-10
학회명
11th International Conference on Information and Communication Technology Convergence (ICTC) - Data, Network, and AI in the age of Untact (ICTC)
개최지
Jeju, SOUTH KOREA
개최국가
대한민국
학회 개최일
2020-10-21 ~ 2020-10-23