TY - GEN
T1 - A study on user-antenna cluster formation for cluster-wise MU-MIMO
AU - Xia, Sijie
AU - Ge, Chang
AU - Chen, Qiang
AU - Adachi, Fumiyuki
N1 - Funding Information:
A part of this work was conducted under "R&D for further advancement of the 5th generation mobile communication system" (JPJ000254) commissioned by the Ministry of Internal Affairs and Communications in Japan.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/19
Y1 - 2020/10/19
N2 - The ultra-dense radio access network (RAN) consisting of a large number of distributed antennas and user terminals is considered to improve link capacity and coverage while saving the energy consumption for 5G advanced systems. Because of such a large-scale multi-user multiple-input multiple-output (MU-MIMO), the computational complexity of signal processing is difficult to realize. Aiming to reduce the computational complexity to an acceptable level, the clustering approach is promising to decompose the large-scale MU-MIMO into several smaller-scale ones. K-means clustering is introduced to form either user clusters or antenna clusters and then, cluster member assignment (CMA) is done to perform cluster-wise zero-forcing (ZF) based MU-MIMO. In this paper, we compare through computer simulation possible combinations of two clustering methods and two CMA methods in terms of achievable link capacity.
AB - The ultra-dense radio access network (RAN) consisting of a large number of distributed antennas and user terminals is considered to improve link capacity and coverage while saving the energy consumption for 5G advanced systems. Because of such a large-scale multi-user multiple-input multiple-output (MU-MIMO), the computational complexity of signal processing is difficult to realize. Aiming to reduce the computational complexity to an acceptable level, the clustering approach is promising to decompose the large-scale MU-MIMO into several smaller-scale ones. K-means clustering is introduced to form either user clusters or antenna clusters and then, cluster member assignment (CMA) is done to perform cluster-wise zero-forcing (ZF) based MU-MIMO. In this paper, we compare through computer simulation possible combinations of two clustering methods and two CMA methods in terms of achievable link capacity.
KW - 5G advanced systems
KW - Clustering
KW - Distributed MU-MIMO
KW - ZF
UR - http://www.scopus.com/inward/record.url?scp=85099597157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099597157&partnerID=8YFLogxK
U2 - 10.1109/WPMC50192.2020.9309519
DO - 10.1109/WPMC50192.2020.9309519
M3 - Conference contribution
AN - SCOPUS:85099597157
T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC
BT - WPMC 2020 - 23rd International Symposium on Wireless Personal Multimedia Communications
PB - IEEE Computer Society
T2 - 23rd International Symposium on Wireless Personal Multimedia Communications, WPMC 2020
Y2 - 19 October 2020 through 26 October 2020
ER -
