TY - GEN
T1 - A Study on Dynamic Antenna Clustering for Distributed MIMO Cooperative Transmission using Multi-user MMSE-SVD
AU - Seki, Yuta
AU - Saito, Tomoyuki
AU - Adachi, Fumiyuki
N1 - Funding Information:
ACKNOWLEDGMENT This paper includes a part of results of “The research and development project for realization of the fifth-generation mobile communications system” commissioned to Tohoku University by The Ministry of Internal Affairs and Communications (MIC), Japan.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Distributed MIMO (multiple-input multiple-output) cooperative transmission can achieve a high link capacity by large-scale antennas which are spatially distributed over a macro-cell area. Authors have been studying a multi-user spatial multiplexing technique called the minimum mean square error filtering combined with singular value decomposition (MMSE-SVD). MU-MIMO processing requires prohibitively high computational complexity for a large number of antennas. The antenna clustering can reduce the computational complexity, however, this produces the inter-cluster interference (ICI) and degrades the transmission performance of a user equipment (UE) near the cluster boundary (namely, cluster-edge UE). In this paper, we propose a dynamic antenna clustering which changes periodically the cluster boundary in order to avoid always falling into the worst condition. The UE link capacities in the cases of static antenna clustering and dynamic antenna clustering is evaluated by computer simulation. It is shown that the proposed dynamic antenna clustering improves the cluster-edge UE link capacity. The median value of the link capacity is increased by about 1.6 times compared to the static antenna clustering.
AB - Distributed MIMO (multiple-input multiple-output) cooperative transmission can achieve a high link capacity by large-scale antennas which are spatially distributed over a macro-cell area. Authors have been studying a multi-user spatial multiplexing technique called the minimum mean square error filtering combined with singular value decomposition (MMSE-SVD). MU-MIMO processing requires prohibitively high computational complexity for a large number of antennas. The antenna clustering can reduce the computational complexity, however, this produces the inter-cluster interference (ICI) and degrades the transmission performance of a user equipment (UE) near the cluster boundary (namely, cluster-edge UE). In this paper, we propose a dynamic antenna clustering which changes periodically the cluster boundary in order to avoid always falling into the worst condition. The UE link capacities in the cases of static antenna clustering and dynamic antenna clustering is evaluated by computer simulation. It is shown that the proposed dynamic antenna clustering improves the cluster-edge UE link capacity. The median value of the link capacity is increased by about 1.6 times compared to the static antenna clustering.
KW - distributed antenna
KW - dynamic antenna clustering
KW - MMSE-SVD
KW - MU-MIMO
KW - OFDM downlink
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U2 - 10.1109/WPMC.2018.8712892
DO - 10.1109/WPMC.2018.8712892
M3 - Conference contribution
AN - SCOPUS:85066296782
T3 - International Symposium on Wireless Personal Multimedia Communications, WPMC
SP - 64
EP - 68
BT - 2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
PB - IEEE Computer Society
T2 - 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
Y2 - 25 November 2018 through 28 November 2018
ER -