TY - GEN
T1 - Distributed MIMO cooperative transmission technique and its performance
AU - Adachi, Fumiyuki
AU - Boonkajay, Amnart
AU - Saito, Tomoyuki
AU - Seki, Yuta
N1 - Funding Information:
Abstract—This paper presents a comprehensive introduction of the distributed MIMO cooperative transmission technique which has been developed under the framework of national 5G research & development (4-year project of 2015~2018) funded by Ministry of Internal Affairs and Communications (MIC), Japan. The distributed MIMO cooperative transmission includes single-user space-time block code transmit diversity (STBC-TD), multi-user minimum mean square error (MMSE) based filtering jointly used with eigenmode filtering obtained by singular value decomposition (SVD), called MMSE-SVD in short, and blind selected mapping (blind SLM). The bit error rate (BER), link capacity, and peak-to-average power ratio (PAPR)-complexity tradeoff performances of distributed MIMO cooperative transmission, evaluated by extensive numerical and computer simulation, are presented. Furthermore, the interference coordination techniques, i.e., the user clustering and the decentralized inter-cell (or inter-BS) interference coordination (ICIC), for further improving the area spectrum efficiency and for enhancing the flexible and scalable deployment of distributed MIMO system are also presented.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/8
Y1 - 2019/8
N2 - This paper presents a comprehensive introduction of the distributed MIMO cooperative transmission technique which has been developed under the framework of national 5G research development (4-year project of 2015 2018) funded by Ministry of Internal Affairs and Communications (MIC), Japan. The distributed MIMO cooperative transmission includes single-user space-time block code transmit diversity (STBC-TD), multi-user minimum mean square error (MMSE) based filtering jointly used with eigenmode filtering obtained by singular value decomposition (SVD), called MMSE-SVD in short, and blind selected mapping (blind SLM). The bit error rate (BER), link capacity, and peak-to-average power ratio (PAPR)-complexity tradeoff performances of distributed MIMO cooperative transmission, evaluated by extensive numerical and computer simulation, are presented. Furthermore, the interference coordination techniques, i.e., the user clustering and the decentralized inter-cell (or inter-BS) interference coordination (ICIC), for further improving the area spectrum efficiency and for enhancing the flexible and scalable deployment of distributed MIMO system are also presented.
AB - This paper presents a comprehensive introduction of the distributed MIMO cooperative transmission technique which has been developed under the framework of national 5G research development (4-year project of 2015 2018) funded by Ministry of Internal Affairs and Communications (MIC), Japan. The distributed MIMO cooperative transmission includes single-user space-time block code transmit diversity (STBC-TD), multi-user minimum mean square error (MMSE) based filtering jointly used with eigenmode filtering obtained by singular value decomposition (SVD), called MMSE-SVD in short, and blind selected mapping (blind SLM). The bit error rate (BER), link capacity, and peak-to-average power ratio (PAPR)-complexity tradeoff performances of distributed MIMO cooperative transmission, evaluated by extensive numerical and computer simulation, are presented. Furthermore, the interference coordination techniques, i.e., the user clustering and the decentralized inter-cell (or inter-BS) interference coordination (ICIC), for further improving the area spectrum efficiency and for enhancing the flexible and scalable deployment of distributed MIMO system are also presented.
KW - 5G
KW - Antenna selection
KW - Clustering
KW - Cooperative transmission
KW - Distributed antenna
UR - http://www.scopus.com/inward/record.url?scp=85073573885&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073573885&partnerID=8YFLogxK
U2 - 10.1109/ICCChina.2019.8855832
DO - 10.1109/ICCChina.2019.8855832
M3 - Conference contribution
AN - SCOPUS:85073573885
T3 - 2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
SP - 213
EP - 218
BT - 2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
Y2 - 11 August 2019 through 13 August 2019
ER -