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A new zero-forcing block diagonalization (ZF-BD) scheme that enables both a more simplified ZF-BD and further increase in sum rate of MU-MIMO channels is proposed in this paper. The proposed scheme provides the improvement in BER performance for equivalent SU-MIMO channels. The proposed scheme consists of two components. First, a permuted channel matrix (PCM), which is given by moving the submatrix related to a target user to the bottom of a downlink MIMO channel matrix, is newly defined to obtain a precoding matrix for ZF-BD. Executing QR decomposition alone for a given PCM provides null space for the target user. Second, a partial MSQRD (PMSQRD) algorithm, which adopts MSQRD only for a target user to provide improvement in bit rate and BER performance for the user, is proposed. Some numerical simulations are performed, and the results show improvement in sum rate performance of the total system. In addition, appropriate bit allocation improves the bit error rate (BER) performance in each equivalent SU-MIMO channel. A successive interference cancellation is applied to achieve further improvement in BER performance of user terminals.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E106-A No.4 pp.665-673

- Publication Date
- 2023/04/01

- Publicized
- 2022/10/18

- Online ISSN
- 1745-1337

- DOI
- 10.1587/transfun.2022EAP1065

- Type of Manuscript
- PAPER

- Category
- Communication Theory and Signals

Shigenori KINJO

the Japan Coast Guard Academy

Takayuki GAMOH

the Japan Coast Guard

Masaaki YAMANAKA

the Japan Coast Guard Academy

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Shigenori KINJO, Takayuki GAMOH, Masaaki YAMANAKA, "A QR Decomposition Algorithm with Partial Greedy Permutation for Zero-Forcing Block Diagonalization" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 4, pp. 665-673, April 2023, doi: 10.1587/transfun.2022EAP1065.

Abstract: A new zero-forcing block diagonalization (ZF-BD) scheme that enables both a more simplified ZF-BD and further increase in sum rate of MU-MIMO channels is proposed in this paper. The proposed scheme provides the improvement in BER performance for equivalent SU-MIMO channels. The proposed scheme consists of two components. First, a permuted channel matrix (PCM), which is given by moving the submatrix related to a target user to the bottom of a downlink MIMO channel matrix, is newly defined to obtain a precoding matrix for ZF-BD. Executing QR decomposition alone for a given PCM provides null space for the target user. Second, a partial MSQRD (PMSQRD) algorithm, which adopts MSQRD only for a target user to provide improvement in bit rate and BER performance for the user, is proposed. Some numerical simulations are performed, and the results show improvement in sum rate performance of the total system. In addition, appropriate bit allocation improves the bit error rate (BER) performance in each equivalent SU-MIMO channel. A successive interference cancellation is applied to achieve further improvement in BER performance of user terminals.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAP1065/_p

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@ARTICLE{e106-a_4_665,

author={Shigenori KINJO, Takayuki GAMOH, Masaaki YAMANAKA, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={A QR Decomposition Algorithm with Partial Greedy Permutation for Zero-Forcing Block Diagonalization},

year={2023},

volume={E106-A},

number={4},

pages={665-673},

abstract={A new zero-forcing block diagonalization (ZF-BD) scheme that enables both a more simplified ZF-BD and further increase in sum rate of MU-MIMO channels is proposed in this paper. The proposed scheme provides the improvement in BER performance for equivalent SU-MIMO channels. The proposed scheme consists of two components. First, a permuted channel matrix (PCM), which is given by moving the submatrix related to a target user to the bottom of a downlink MIMO channel matrix, is newly defined to obtain a precoding matrix for ZF-BD. Executing QR decomposition alone for a given PCM provides null space for the target user. Second, a partial MSQRD (PMSQRD) algorithm, which adopts MSQRD only for a target user to provide improvement in bit rate and BER performance for the user, is proposed. Some numerical simulations are performed, and the results show improvement in sum rate performance of the total system. In addition, appropriate bit allocation improves the bit error rate (BER) performance in each equivalent SU-MIMO channel. A successive interference cancellation is applied to achieve further improvement in BER performance of user terminals.},

keywords={},

doi={10.1587/transfun.2022EAP1065},

ISSN={1745-1337},

month={April},}

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TY - JOUR

TI - A QR Decomposition Algorithm with Partial Greedy Permutation for Zero-Forcing Block Diagonalization

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 665

EP - 673

AU - Shigenori KINJO

AU - Takayuki GAMOH

AU - Masaaki YAMANAKA

PY - 2023

DO - 10.1587/transfun.2022EAP1065

JO - IEICE TRANSACTIONS on Fundamentals

SN - 1745-1337

VL - E106-A

IS - 4

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - April 2023

AB - A new zero-forcing block diagonalization (ZF-BD) scheme that enables both a more simplified ZF-BD and further increase in sum rate of MU-MIMO channels is proposed in this paper. The proposed scheme provides the improvement in BER performance for equivalent SU-MIMO channels. The proposed scheme consists of two components. First, a permuted channel matrix (PCM), which is given by moving the submatrix related to a target user to the bottom of a downlink MIMO channel matrix, is newly defined to obtain a precoding matrix for ZF-BD. Executing QR decomposition alone for a given PCM provides null space for the target user. Second, a partial MSQRD (PMSQRD) algorithm, which adopts MSQRD only for a target user to provide improvement in bit rate and BER performance for the user, is proposed. Some numerical simulations are performed, and the results show improvement in sum rate performance of the total system. In addition, appropriate bit allocation improves the bit error rate (BER) performance in each equivalent SU-MIMO channel. A successive interference cancellation is applied to achieve further improvement in BER performance of user terminals.

ER -