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
대규모 MIMO(Multiple-Input Multiple-Output)는 다수의 이동국(MS)에 대한 동시 전송을 구현하고 주파수 활용 효율성을 향상시킵니다. 5세대(5G) 이동통신 시스템의 핵심 기술로 주목받고 있다. 1.5G 시스템은 고주파 대역에서 구현될 예정이며, 전파 손실을 보상하기 위해 매시브 MIMO 빔포밍(BF)이 적용된다. 기존 BF 방식에서는 부반송파를 통해 수신된 신호의 전력을 기반으로 송신 빔을 선택합니다. 다른 부반송파의 신호는 다른 방향으로 전송됩니다. 본 논문에서는 빔 선택의 정확도를 높이기 위해 대규모 MIMO를 위한 송신 빔 선택 방식을 제안한다. 제안된 방식은 기지국(BS)과 MS 사이의 상대 지향성을 기반으로 부반송파를 통한 신호의 예상 응답을 계산합니다. MS는 수신된 신호와 예상되는 각 응답 시퀀스 간의 상관 관계를 계산합니다. 그런 다음 상관 값이 가장 높은 빔을 선택합니다. 본 논문에서는 제안하는 기법이 전력 기반 탐색 기법에 비해 수신 신호의 평균 신호 대 잡음비를 약 1dB 정도 향상시킬 수 있음을 보여준다. 또한 제한된 응답 계수를 갖는 제안 방식은 평균 SNR을 약 100dB 증가시키면서 계산 복잡도를 1.0/XNUMX로 줄일 수 있음을 보여줍니다.
Yoshihito KUBO
Keio University
Yukitoshi SANADA
Keio University
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부
Yoshihito KUBO, Yukitoshi SANADA, "Transmit Beam Selection Scheme for Massive MIMO Using Expected Beam Responses" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 4, pp. 913-920, April 2019, doi: 10.1587/transcom.2018EBP3086.
Abstract: Massive multiple-input multiple-output (MIMO) realizes simultaneous transmission to a large number of mobile stations (MSs) and improves frequency utilization efficiency. It is drawing attention as the key technology of the fifth-generation (5G) mobile communication systems. The 5G system is going to be implemented in a high frequency band and massive MIMO beamforming (BF) is applied to compensate propagation loss. In the conventional BF scheme, a transmit beam is selected based on the power of received signals over subcarriers. The signal on a different subcarrier is transmitted with a different directivity. To improve the accuracy of beam selection, this paper proposes a transmit beam selection scheme for massive MIMO. The proposed scheme calculates the expected responses of the signals over the subcarriers based on the relative directivity between a base station (BS) and a MS. The MS calculates the correlation between the received signals and each of the expected response sequences. It then selects the beam with the highest correlation value. It is shown in this paper that the proposed scheme can improve the average signal-to-noise ratio of a received signal by about 1.5dB as compared with that of the power based search scheme. It is also shown that the proposed scheme with limited response coefficients can reduce the computational complexity by a factor of 1/100 while it still increases the average SNR by about 1.0dB.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3086/_p
부
@ARTICLE{e102-b_4_913,
author={Yoshihito KUBO, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Transmit Beam Selection Scheme for Massive MIMO Using Expected Beam Responses},
year={2019},
volume={E102-B},
number={4},
pages={913-920},
abstract={Massive multiple-input multiple-output (MIMO) realizes simultaneous transmission to a large number of mobile stations (MSs) and improves frequency utilization efficiency. It is drawing attention as the key technology of the fifth-generation (5G) mobile communication systems. The 5G system is going to be implemented in a high frequency band and massive MIMO beamforming (BF) is applied to compensate propagation loss. In the conventional BF scheme, a transmit beam is selected based on the power of received signals over subcarriers. The signal on a different subcarrier is transmitted with a different directivity. To improve the accuracy of beam selection, this paper proposes a transmit beam selection scheme for massive MIMO. The proposed scheme calculates the expected responses of the signals over the subcarriers based on the relative directivity between a base station (BS) and a MS. The MS calculates the correlation between the received signals and each of the expected response sequences. It then selects the beam with the highest correlation value. It is shown in this paper that the proposed scheme can improve the average signal-to-noise ratio of a received signal by about 1.5dB as compared with that of the power based search scheme. It is also shown that the proposed scheme with limited response coefficients can reduce the computational complexity by a factor of 1/100 while it still increases the average SNR by about 1.0dB.},
keywords={},
doi={10.1587/transcom.2018EBP3086},
ISSN={1745-1345},
month={April},}
부
TY - JOUR
TI - Transmit Beam Selection Scheme for Massive MIMO Using Expected Beam Responses
T2 - IEICE TRANSACTIONS on Communications
SP - 913
EP - 920
AU - Yoshihito KUBO
AU - Yukitoshi SANADA
PY - 2019
DO - 10.1587/transcom.2018EBP3086
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2019
AB - Massive multiple-input multiple-output (MIMO) realizes simultaneous transmission to a large number of mobile stations (MSs) and improves frequency utilization efficiency. It is drawing attention as the key technology of the fifth-generation (5G) mobile communication systems. The 5G system is going to be implemented in a high frequency band and massive MIMO beamforming (BF) is applied to compensate propagation loss. In the conventional BF scheme, a transmit beam is selected based on the power of received signals over subcarriers. The signal on a different subcarrier is transmitted with a different directivity. To improve the accuracy of beam selection, this paper proposes a transmit beam selection scheme for massive MIMO. The proposed scheme calculates the expected responses of the signals over the subcarriers based on the relative directivity between a base station (BS) and a MS. The MS calculates the correlation between the received signals and each of the expected response sequences. It then selects the beam with the highest correlation value. It is shown in this paper that the proposed scheme can improve the average signal-to-noise ratio of a received signal by about 1.5dB as compared with that of the power based search scheme. It is also shown that the proposed scheme with limited response coefficients can reduce the computational complexity by a factor of 1/100 while it still increases the average SNR by about 1.0dB.
ER -