TY - JOUR
T1 - Achieving Energy-Efficient Massive URLLC over Cell-Free Massive MIMO
AU - Zeng, Jie
AU - Wu, Teng
AU - Song, Yuxin
AU - Zhong, Yi
AU - Lv, Tiejun
AU - Zhou, Shidong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2024/1/15
Y1 - 2024/1/15
N2 - Achieving energy-efficient massive ultrareliable and low-latency communications (E2-mURLLC) is a promising application prospect for sixth-generation (6G) mobile communication networks. However, there are some insurmountable obstacles, such as a large number of potential users, complex and diverse small-scale and shadow fading, and stringent energy efficiency (EE), reliability, and latency requirements. Considering the above obstacles, we propose a cell-free massive multiple-input-multiple-output (MIMO) architecture based on the $\kappa $ - $\mu $ shadowed fading model, and maximum-ratio combining (MRC) multiuser detection with simple path-loss decoding (S-PLD) to achieve the simultaneous optimization of EE, latency, and reliability. Furthermore, the finite blocklength information theory is used to uncover the relationship among EE, reliability, latency, and achievable data rate when the packet size is small. Simulation results show that compared with the massive MIMO architecture, using our architecture with MRC multiuser detection and S-PLD can support a threefold increase in the number of access users, reduce transmit power by 90%, achieve a nearly 100 times reliability enhancement, and shorten transmission latency by 23.3%. Consequently, a cell-free massive MIMO system with MRC multiuser detection and S-PLD, as a considerable significant potential to facilitate the advancement from URLLC to E2-mURLLC, is promising to support some time-sensitive applications with massive access, such as unmanned aerial vehicles, the Industrial Internet of Things and vehicle-to-vehicle communications.
AB - Achieving energy-efficient massive ultrareliable and low-latency communications (E2-mURLLC) is a promising application prospect for sixth-generation (6G) mobile communication networks. However, there are some insurmountable obstacles, such as a large number of potential users, complex and diverse small-scale and shadow fading, and stringent energy efficiency (EE), reliability, and latency requirements. Considering the above obstacles, we propose a cell-free massive multiple-input-multiple-output (MIMO) architecture based on the $\kappa $ - $\mu $ shadowed fading model, and maximum-ratio combining (MRC) multiuser detection with simple path-loss decoding (S-PLD) to achieve the simultaneous optimization of EE, latency, and reliability. Furthermore, the finite blocklength information theory is used to uncover the relationship among EE, reliability, latency, and achievable data rate when the packet size is small. Simulation results show that compared with the massive MIMO architecture, using our architecture with MRC multiuser detection and S-PLD can support a threefold increase in the number of access users, reduce transmit power by 90%, achieve a nearly 100 times reliability enhancement, and shorten transmission latency by 23.3%. Consequently, a cell-free massive MIMO system with MRC multiuser detection and S-PLD, as a considerable significant potential to facilitate the advancement from URLLC to E2-mURLLC, is promising to support some time-sensitive applications with massive access, such as unmanned aerial vehicles, the Industrial Internet of Things and vehicle-to-vehicle communications.
KW - cell-free massive multiple-input multiple-output (MIMO)
KW - energy-efficient massive ultrareliable and low-latency communications (E2-mURLLC)
KW - finite blocklength (FBL)
KW - simple path-loss decoding (S-PLD)
KW - ΰ-μ shadowed fading
UR - http://www.scopus.com/inward/record.url?scp=85164447577&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2023.3293008
DO - 10.1109/JIOT.2023.3293008
M3 - Article
AN - SCOPUS:85164447577
SN - 2327-4662
VL - 11
SP - 2198
EP - 2210
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 2
ER -