Presentation 2022-08-25
A Study on Computational Complexity Reduction of Pre/Postcoding in User-Cluster-Centric CF-mMIMO
Ryo Takahashi, Hidenori Matsuo, Sijie Xia, Qiang Chen, Fumiyuki Adachi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Cell-Free massive MIMO (CF-mMIMO), which cooperatively utilizes a large number of antennas deployed over a wide communication area, has been attracting attention as a key technology for Beyond 5G systems. Previously, we have proposed a user-cluster-centric CF-mMIMO (UCC-CF-mMIMO) which can both ensure the system scalability and improve the system capacity in a high user density environment. UCC-CF-mMIMO performs multi-user MIMO (MU-MIMO) spatial multiplexing by grouping neighboring users into user clusters and selecting multiple antennas common to all users in each cluster. Inter-cluster interference can be reduced by directly considering the correlation matrix of the MIMO channel between the selected antennas of user-cluster of interest and the users in the interfering clusters in the MU-MIMO pre/postcoding of user cluster of interest. The use of channel correlation matrix makes it possible to form nulls toward interfering users, thereby improving the interference suppression effect, however, the computational complexity of pre/postcoding increases as the number of interfering users increases. In this paper, we propose a low-complexity pre/postcoding in which the channel correlation matrix is directly used for the predominant interfering users, while the sum of other inter-cluster interfering signals is approximated as an equivalent Gaussian noise (therefore, the measurement of interference power is only necessary for other interfering users). The interference reduction and the computational complexity are discussed by evaluating the user link capacities achievable with the conventional and proposed pre/postcoding schemes through computer simulation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CF-mMIMO / user-cluster-centric / pre/postcoding / low complexity
Paper # RCS2022-101
Date of Issue 2022-08-18 (RCS)

Conference Information
Committee SAT / RCS
Conference Date 2022/8/25(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsushi Ikegami(Meiji Univ.) / Kenichi Higuchi(Tokyo Univ. of Science)
Vice Chair Masashi Kamei(NHK) / Takana Kaho(Shonan Inst. of Tech.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.)
Secretary Masashi Kamei(NTT) / Takana Kaho(NICT) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Univ. of Electro-Comm) / Osamu Muta(Sharp)
Assistant Riichiro Nagareda(KDDI Research) / Yuuki Koizumi(NHK) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech)

Paper Information
Registration To Technical Committee on Satellite Telecommunications / Technical Committee on Radio Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Computational Complexity Reduction of Pre/Postcoding in User-Cluster-Centric CF-mMIMO
Sub Title (in English)
Keyword(1) CF-mMIMO
Keyword(2) user-cluster-centric
Keyword(3) pre/postcoding
Keyword(4) low complexity
1st Author's Name Ryo Takahashi
1st Author's Affiliation Tohoku University(Tohoku Univ.)
2nd Author's Name Hidenori Matsuo
2nd Author's Affiliation Tohoku University(Tohoku Univ.)
3rd Author's Name Sijie Xia
3rd Author's Affiliation Tohoku University(Tohoku Univ.)
4th Author's Name Qiang Chen
4th Author's Affiliation Tohoku University(Tohoku Univ.)
5th Author's Name Fumiyuki Adachi
5th Author's Affiliation Tohoku University(Tohoku Univ.)
Date 2022-08-25
Paper # RCS2022-101
Volume (vol) vol.122
Number (no) RCS-164
Page pp.pp.24-29(RCS),
#Pages 6
Date of Issue 2022-08-18 (RCS)