TY - GEN
T1 - A Study on Cluster-Centric Cell-Free Massive MIMO System
AU - Xia, Sijie
AU - Ge, Chang
AU - Takahashi, Ryo
AU - Chen, Qiang
AU - Adachi, Fumiyuki
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cell-free massive multiple-input multiple-output (CF-mMIMO) systems have been attracting a great attention as a promising architecture for the beyond fifth-generation (B5G) systems. CF-mMIMO is designed to deploy a large number of base station (BS) antennas to accommodate a relatively small number of mobile users. Considering that the computational complexity and the fronthaul capacity are limited in any practical system, scalability is the key to making CF-mMIMO practical. Thus, a user-centric (UC) approach is taken, i.e., each user is served by a certain number of antennas with high channel gain (called the antenna-set). Such a CF-mMIMO is called UC CF-mMIMO in this paper. However, as the user density becomes higher, the antenna-sets tend to overlap at a higher probability, and accordingly, severer interference will occur among the neighborhood users, thereby degrading the transmission performance of UC CF-mMIMO. To mitigate this severer interference problem, in this paper, we propose to group the neighborhood users as the user-cluster and to apply multi-user MIMO (MU-MIMO) technology to each user-cluster. This CF-mMIMO is called cluster-centric (CC) CF-mMIMO. In CC CF-mMIMO, user-clusters are first formed and a set of antennas is associated with each user-cluster for performing MU-MIMO communication in parallel. We evaluate the link capacity and the user fairness by computer simulation to reveal that the proposed CC CF-mMIMO outperforms the UC CF-mMIMO.
AB - Cell-free massive multiple-input multiple-output (CF-mMIMO) systems have been attracting a great attention as a promising architecture for the beyond fifth-generation (B5G) systems. CF-mMIMO is designed to deploy a large number of base station (BS) antennas to accommodate a relatively small number of mobile users. Considering that the computational complexity and the fronthaul capacity are limited in any practical system, scalability is the key to making CF-mMIMO practical. Thus, a user-centric (UC) approach is taken, i.e., each user is served by a certain number of antennas with high channel gain (called the antenna-set). Such a CF-mMIMO is called UC CF-mMIMO in this paper. However, as the user density becomes higher, the antenna-sets tend to overlap at a higher probability, and accordingly, severer interference will occur among the neighborhood users, thereby degrading the transmission performance of UC CF-mMIMO. To mitigate this severer interference problem, in this paper, we propose to group the neighborhood users as the user-cluster and to apply multi-user MIMO (MU-MIMO) technology to each user-cluster. This CF-mMIMO is called cluster-centric (CC) CF-mMIMO. In CC CF-mMIMO, user-clusters are first formed and a set of antennas is associated with each user-cluster for performing MU-MIMO communication in parallel. We evaluate the link capacity and the user fairness by computer simulation to reveal that the proposed CC CF-mMIMO outperforms the UC CF-mMIMO.
KW - B5G
KW - Cell-free massive MIMO
KW - scalable implementation
KW - signal processing
KW - user-clustering
UR - http://www.scopus.com/inward/record.url?scp=85143057704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85143057704&partnerID=8YFLogxK
U2 - 10.1109/APCC55198.2022.9943729
DO - 10.1109/APCC55198.2022.9943729
M3 - Conference contribution
AN - SCOPUS:85143057704
T3 - APCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era
SP - 247
EP - 252
BT - APCC 2022 - 27th Asia-Pacific Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Asia-Pacific Conference on Communications, APCC 2022
Y2 - 19 October 2022 through 21 October 2022
ER -