The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 완전 디지털 MIMO(Massive Multi-Input Multi-Output)를 위한 빔 선택을 통한 사용자 스케줄링을 제안합니다. 이상적인 하드웨어 구현을 가정할 경우 대규모 MIMO 기지국에서 제로 포싱(zero-forcing)과 같은 프리코딩을 통해 사용자 간 간섭(IUI)을 제거할 수 있습니다. 그러나 하드웨어 구성요소의 비이상적인 특성으로 인해 동일한 자원에 할당된 여러 사용자 단말 사이에서 IUI가 발생합니다. 따라서 제안 방식에서는 할당된 사용자 단말에 대한 빔의 방향을 조정하여 전체 사용자 처리량을 최대화한다. 그런 다음 빔 지향성 조정 후 사용자 처리량을 기반으로 사용자 할당이 수행됩니다. 컴퓨터 시뮬레이션을 통해 얻은 수치 결과를 보면, 셀 내 사용자 단말의 수가 3.0개이고, 하나의 자원블록(RB)에 할당된 사용자 단말의 수가 0.03개인 경우, 서브프레임당 서브캐리어당 처리량이 약 XNUMX비트 향상되는 것으로 나타났다. 반면 공정성지수(FI)는 XNUMX 감소했다. 이는 사용자당 처리량의 누적분포함수(CDF)에서 보듯이 처리량이 높은 영역에서만 확률이 증가하기 때문이다. 또한, 셀 내 사용자 단말의 수가 증가할수록 처리량의 향상 정도는 감소한다. 할당된 사용자 단말의 수가 증가할수록 셀-에지(cell-edge)에 더 많은 사용자 단말이 할당되며, 이는 평균 처리량을 감소시킨다.
Masahito YATA
Keio University
Go OTSURU
Keio University
Yukitoshi SANADA
Keio University
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부
Masahito YATA, Go OTSURU, Yukitoshi SANADA, "User Scheduling with Beam Selection for Full Digital Massive MIMO Base Station" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 4, pp. 428-435, April 2021, doi: 10.1587/transcom.2020EBP3032.
Abstract: In this paper, user scheduling with beam selection for full-digital massive multi-input multi-output (MIMO) is proposed. Inter-user interference (IUI) can be canceled by precoding such as zero-forcing at a massive MIMO base station if ideal hardware implementation is assumed. However, owing to the non-ideal characteristics of hardware components, IUI occurs among multiple user terminals allocated on the same resource. Thus, in the proposed scheme, the directions of beams for allocated user terminals are adjusted to maximize the total user throughput. User allocation based on the user throughput after the adjustment of beam directivity is then carried out. Numerical results obtained through computer simulation show that when the number of user terminals in the cell is two and the number of user terminals allocated to one resource block (RB) is two, the throughput per subcarrier per subframe improves by about 3.0 bits. On the other hand, the fairness index (FI) is reduced by 0.03. This is because only the probability in the high throughput region increases as shown in the cumulative distribution function (CDF) of throughput per user. Also, as the number of user terminals in the cell increases, the amount of improvement in throughput decreases. As the number of allocated user terminals increases, more user terminals are allocated to the cell-edge, which reduces the average throughput.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3032/_p
부
@ARTICLE{e104-b_4_428,
author={Masahito YATA, Go OTSURU, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={User Scheduling with Beam Selection for Full Digital Massive MIMO Base Station},
year={2021},
volume={E104-B},
number={4},
pages={428-435},
abstract={In this paper, user scheduling with beam selection for full-digital massive multi-input multi-output (MIMO) is proposed. Inter-user interference (IUI) can be canceled by precoding such as zero-forcing at a massive MIMO base station if ideal hardware implementation is assumed. However, owing to the non-ideal characteristics of hardware components, IUI occurs among multiple user terminals allocated on the same resource. Thus, in the proposed scheme, the directions of beams for allocated user terminals are adjusted to maximize the total user throughput. User allocation based on the user throughput after the adjustment of beam directivity is then carried out. Numerical results obtained through computer simulation show that when the number of user terminals in the cell is two and the number of user terminals allocated to one resource block (RB) is two, the throughput per subcarrier per subframe improves by about 3.0 bits. On the other hand, the fairness index (FI) is reduced by 0.03. This is because only the probability in the high throughput region increases as shown in the cumulative distribution function (CDF) of throughput per user. Also, as the number of user terminals in the cell increases, the amount of improvement in throughput decreases. As the number of allocated user terminals increases, more user terminals are allocated to the cell-edge, which reduces the average throughput.},
keywords={},
doi={10.1587/transcom.2020EBP3032},
ISSN={1745-1345},
month={April},}
부
TY - JOUR
TI - User Scheduling with Beam Selection for Full Digital Massive MIMO Base Station
T2 - IEICE TRANSACTIONS on Communications
SP - 428
EP - 435
AU - Masahito YATA
AU - Go OTSURU
AU - Yukitoshi SANADA
PY - 2021
DO - 10.1587/transcom.2020EBP3032
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2021
AB - In this paper, user scheduling with beam selection for full-digital massive multi-input multi-output (MIMO) is proposed. Inter-user interference (IUI) can be canceled by precoding such as zero-forcing at a massive MIMO base station if ideal hardware implementation is assumed. However, owing to the non-ideal characteristics of hardware components, IUI occurs among multiple user terminals allocated on the same resource. Thus, in the proposed scheme, the directions of beams for allocated user terminals are adjusted to maximize the total user throughput. User allocation based on the user throughput after the adjustment of beam directivity is then carried out. Numerical results obtained through computer simulation show that when the number of user terminals in the cell is two and the number of user terminals allocated to one resource block (RB) is two, the throughput per subcarrier per subframe improves by about 3.0 bits. On the other hand, the fairness index (FI) is reduced by 0.03. This is because only the probability in the high throughput region increases as shown in the cumulative distribution function (CDF) of throughput per user. Also, as the number of user terminals in the cell increases, the amount of improvement in throughput decreases. As the number of allocated user terminals increases, more user terminals are allocated to the cell-edge, which reduces the average throughput.
ER -