TY - JOUR
T1 - Radio Resource Management for Ultra-Reliable and Low-Latency Communications
AU - She, Changyang
AU - Yang, Chenyang
AU - Quek, Tony Q.S.
N1 - Funding Information:
The work of C. She and C. Yang was supported by the National Natural Science Foundation of China (NSFC) under Grant 61120106002 and 61671036. The work of T. Q. S. Quek was supported by the MOE ARF Tier 2 under Grant MOE2014-T2-2-002, the MOE ARF Tier 2 under Grant MOE2015-T2-2-104, and the Zhejiang Provincial Public Technology Research of China under Grant 2016C31063.
Publisher Copyright:
© 1979-2012 IEEE.
PY - 2017
Y1 - 2017
N2 - Supporting ultra-reliable and low-latency communications (URLLC) is one of the major goals in 5G communication systems. Previous studies focus on ensuring end-to-end delay requirement by reducing transmission delay and coding delay, and only consider reliability in data transmission. However, the reliability reflected by overall packet loss also includes other components such as queueing delay violation. Moreover, which tools are appropriate to design radio resource allocation under constraints on delay, reliability, and availability is not well understood. As a result, how to optimize resource allocation for URLLC is still unclear. In this article, we first discuss the delay and packet loss components in URLLC and the network availability for supporting the quality of service of users. Then we present tools for resource optimization in URLLC. Last, we summarize the major challenges related to resource management for URLLC, and perform a case study.
AB - Supporting ultra-reliable and low-latency communications (URLLC) is one of the major goals in 5G communication systems. Previous studies focus on ensuring end-to-end delay requirement by reducing transmission delay and coding delay, and only consider reliability in data transmission. However, the reliability reflected by overall packet loss also includes other components such as queueing delay violation. Moreover, which tools are appropriate to design radio resource allocation under constraints on delay, reliability, and availability is not well understood. As a result, how to optimize resource allocation for URLLC is still unclear. In this article, we first discuss the delay and packet loss components in URLLC and the network availability for supporting the quality of service of users. Then we present tools for resource optimization in URLLC. Last, we summarize the major challenges related to resource management for URLLC, and perform a case study.
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U2 - 10.1109/MCOM.2017.1601092
DO - 10.1109/MCOM.2017.1601092
M3 - Article
AN - SCOPUS:85020940336
SN - 0163-6804
VL - 55
SP - 72
EP - 78
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 6
M1 - 7945856
ER -