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
Dans cet article, le débit de cellules total basé sur la formation de faisceaux distribués multicellulaires (MDBF) altruiste et égoïste est étudié avec les informations sur l'état du canal local (CSI). Pour commencer, nous proposons deux conditions suffisantes pour mettre en œuvre une stratégie altruiste et égoïste basée sur la méthode traditionnelle, et donnons la preuve de ces conditions. Deuxièmement, une méthode MDBF basée sur la stratégie altruiste et égoïste est proposée, où la stratégie altruiste est mise en œuvre avec la fonction de pénalité interne. Enfin, les résultats de simulation démontrent que l’efficacité des conditions suffisantes et de la méthode proposée présente des performances et des avantages différents.
Zijia HUANG
the 20th Research Institute of China Electronics Technology Group Corporation
Qinghai YANG
Xidian 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.
Copier
Zijia HUANG, Qinghai YANG, "Multicell Distributed Beamforming Based on the Altruistic and Egoistic Strategy with Local Channel State Information" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 5, pp. 617-628, May 2022, doi: 10.1587/transcom.2021EBP3115.
Abstract: In this paper, the sum cell rate based on altruistic and egoistic multicell distributed beamforming (MDBF) is studied with local channel state Information (CSI). To start with, we provide two sufficient conditions for implementing altruistic and egoistic strategy based on the traditional method, and give the proof of those condition. Second, a MDBF method based on the altruistic and egoistic strategy is proposed, where the altruistic strategy is implemented with the internal penalty function. Finally, simulation results demonstrate that the effectiveness of the sufficient conditions and the proposed method has the different performance and advantages.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3115/_p
Copier
@ARTICLE{e105-b_5_617,
author={Zijia HUANG, Qinghai YANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Multicell Distributed Beamforming Based on the Altruistic and Egoistic Strategy with Local Channel State Information},
year={2022},
volume={E105-B},
number={5},
pages={617-628},
abstract={In this paper, the sum cell rate based on altruistic and egoistic multicell distributed beamforming (MDBF) is studied with local channel state Information (CSI). To start with, we provide two sufficient conditions for implementing altruistic and egoistic strategy based on the traditional method, and give the proof of those condition. Second, a MDBF method based on the altruistic and egoistic strategy is proposed, where the altruistic strategy is implemented with the internal penalty function. Finally, simulation results demonstrate that the effectiveness of the sufficient conditions and the proposed method has the different performance and advantages.},
keywords={},
doi={10.1587/transcom.2021EBP3115},
ISSN={1745-1345},
month={May},}
Copier
TY - JOUR
TI - Multicell Distributed Beamforming Based on the Altruistic and Egoistic Strategy with Local Channel State Information
T2 - IEICE TRANSACTIONS on Communications
SP - 617
EP - 628
AU - Zijia HUANG
AU - Qinghai YANG
PY - 2022
DO - 10.1587/transcom.2021EBP3115
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2022
AB - In this paper, the sum cell rate based on altruistic and egoistic multicell distributed beamforming (MDBF) is studied with local channel state Information (CSI). To start with, we provide two sufficient conditions for implementing altruistic and egoistic strategy based on the traditional method, and give the proof of those condition. Second, a MDBF method based on the altruistic and egoistic strategy is proposed, where the altruistic strategy is implemented with the internal penalty function. Finally, simulation results demonstrate that the effectiveness of the sufficient conditions and the proposed method has the different performance and advantages.
ER -