TY - GEN
T1 - 6G mURLLC over Cell-Free Massive MIMO Systems in the Finite Blocklength Regime
AU - Li, Zhong
AU - Zeng, Jie
AU - Zhang, Wen
AU - Zhou, Shidong
AU - Liu, Ren Ping
N1 - Publisher Copyright:
© 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2022
Y1 - 2022
N2 - In order to support the new service requirements-massive ultra-reliable low-latency communications (mURLLC) in the six-generation (6G) mobile communication system, finite blocklength (FBL) information theory has been introduced. Furthermore, cell-free massive multiple input multiple output (MIMO) has emerged as one of the 6G essential promising technologies. A great quantity of distributed access points (APs) jointly serve massive user equipment (UE) at the same time-frequency resources, which can significantly improve various quality-of-service (QoS) metrics for supporting mURLLC. However, as the number of UE grows, the orthogonal pilot resources in the coherent time are insufficient. This leads to serious non-orthogonal pilot contamination and pilot allocation imbalance. Therefore, we propose an analytical cell-free massive MIMO system model and precisely characterize the error probability metric. In particular, we propose a FBL based system model, formulate and resolve the error probability minimization problem, given the latency requirement. Simulation results verify the effectiveness of the proposed scheme and show that the error probability can be improved by up to 15.9%, compared with the classic pilot allocation scheme.
AB - In order to support the new service requirements-massive ultra-reliable low-latency communications (mURLLC) in the six-generation (6G) mobile communication system, finite blocklength (FBL) information theory has been introduced. Furthermore, cell-free massive multiple input multiple output (MIMO) has emerged as one of the 6G essential promising technologies. A great quantity of distributed access points (APs) jointly serve massive user equipment (UE) at the same time-frequency resources, which can significantly improve various quality-of-service (QoS) metrics for supporting mURLLC. However, as the number of UE grows, the orthogonal pilot resources in the coherent time are insufficient. This leads to serious non-orthogonal pilot contamination and pilot allocation imbalance. Therefore, we propose an analytical cell-free massive MIMO system model and precisely characterize the error probability metric. In particular, we propose a FBL based system model, formulate and resolve the error probability minimization problem, given the latency requirement. Simulation results verify the effectiveness of the proposed scheme and show that the error probability can be improved by up to 15.9%, compared with the classic pilot allocation scheme.
KW - Cell-free massive multiple input multiple output (MIMO)
KW - Finite blocklength (FBL)
KW - Pilot allocation
KW - mURLLC
UR - http://www.scopus.com/inward/record.url?scp=85128490245&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-99200-2_32
DO - 10.1007/978-3-030-99200-2_32
M3 - Conference contribution
AN - SCOPUS:85128490245
SN - 9783030991999
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 425
EP - 437
BT - Communications and Networking - 16th EAI International Conference, ChinaCom 2021, Proceedings
A2 - Gao, Honghao
A2 - Wun, Jun
A2 - Yin, Jianwei
A2 - Shen, Feifei
A2 - Shen, Yulong
A2 - Yu, Jun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th EAI International Conference on Communications and Networking in China, ChinaCom 2021
Y2 - 21 November 2021 through 22 November 2021
ER -