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 중간 탐색점을 사용하여 경사하강법 방향을 따라 랜덤 워크를 수행하는 MIMO(Multi-Input Multi-Output) 신호 검출을 제시합니다. 복잡도가 낮은 MIMO 신호 검출 기법으로 MH(Metropolis-Hastings) 방법을 사용한 경사 하강 알고리즘이 제안되었습니다. 경사하강법 방향을 따른 랜덤 워크는 최소 제곱 비용 함수의 경사를 사용하여 MH 기반 검색 속도를 높입니다. 다만, 경우에 따라서는 QAM 성상도 양자화(Constellation Quantization)를 통해 그래디언트 벡터가 폐기될 수도 있다. 추가적인 성능 향상을 위해 본 논문에서는 다음 탐색 반복을 위해 기울기 벡터를 저장하여 중간 탐색점을 생성하는 개선된 탐색 기법을 제안한다. 제안 기법의 성능은 기존 기법에 비해 고차 변조 심볼로 인해 향상된다. 컴퓨터 시뮬레이션을 통해 얻은 수치 결과, BER 5에서 BER(비트 오류율) 성능이 10dB 향상되는 것으로 나타났습니다.-3 64×16 MIMO 시스템의 16QAM 기호에 대한 것입니다.
Naoki ITO
Keio University
Yukitoshi SANADA
Keio University
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.
부
Naoki ITO, Yukitoshi SANADA, "Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 11, pp. 1192-1199, November 2023, doi: 10.1587/transcom.2023EBT0002.
Abstract: In this paper, multi-input multi-output (MIMO) signal detection with random walk along a gradient descent direction using an intermediate search point is presented. As a low complexity MIMO signal detection schemes, a gradient descent algorithm with Metropolis-Hastings (MH) methods has been proposed. Random walk along a gradient descent direction speeds up the MH based search using the gradient of a least-squares cost function. However, the gradient vector may be discarded through QAM constellation quantization in some cases. For further performance improvement, this paper proposes an improved search scheme in which the gradient vector is stored for the next search iteration to generate an intermediate search point. The performance of the proposed scheme improves with higher order modulation symbols as compared with that of a conventional scheme. Numerical results obtained through computer simulation show that a bit error rate (BER) performance improves by 5dB at a BER of 10-3 for 64QAM symbols in a 16×16 MIMO system.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBT0002/_p
부
@ARTICLE{e106-b_11_1192,
author={Naoki ITO, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point},
year={2023},
volume={E106-B},
number={11},
pages={1192-1199},
abstract={In this paper, multi-input multi-output (MIMO) signal detection with random walk along a gradient descent direction using an intermediate search point is presented. As a low complexity MIMO signal detection schemes, a gradient descent algorithm with Metropolis-Hastings (MH) methods has been proposed. Random walk along a gradient descent direction speeds up the MH based search using the gradient of a least-squares cost function. However, the gradient vector may be discarded through QAM constellation quantization in some cases. For further performance improvement, this paper proposes an improved search scheme in which the gradient vector is stored for the next search iteration to generate an intermediate search point. The performance of the proposed scheme improves with higher order modulation symbols as compared with that of a conventional scheme. Numerical results obtained through computer simulation show that a bit error rate (BER) performance improves by 5dB at a BER of 10-3 for 64QAM symbols in a 16×16 MIMO system.},
keywords={},
doi={10.1587/transcom.2023EBT0002},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - Gradient Descent Direction Random Walk MIMO Detection Using Intermediate Search Point
T2 - IEICE TRANSACTIONS on Communications
SP - 1192
EP - 1199
AU - Naoki ITO
AU - Yukitoshi SANADA
PY - 2023
DO - 10.1587/transcom.2023EBT0002
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2023
AB - In this paper, multi-input multi-output (MIMO) signal detection with random walk along a gradient descent direction using an intermediate search point is presented. As a low complexity MIMO signal detection schemes, a gradient descent algorithm with Metropolis-Hastings (MH) methods has been proposed. Random walk along a gradient descent direction speeds up the MH based search using the gradient of a least-squares cost function. However, the gradient vector may be discarded through QAM constellation quantization in some cases. For further performance improvement, this paper proposes an improved search scheme in which the gradient vector is stored for the next search iteration to generate an intermediate search point. The performance of the proposed scheme improves with higher order modulation symbols as compared with that of a conventional scheme. Numerical results obtained through computer simulation show that a bit error rate (BER) performance improves by 5dB at a BER of 10-3 for 64QAM symbols in a 16×16 MIMO system.
ER -