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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, a taxa de soma de células baseada na formação de feixes distribuídos multicelulares altruístas e egoístas (MDBF) é estudada com informações de estado de canal local (CSI). Para começar, fornecemos duas condições suficientes para implementar estratégias altruístas e egoístas baseadas no método tradicional, e damos a prova dessas condições. Em segundo lugar, é proposto um método MDBF baseado na estratégia altruísta e egoísta, onde a estratégia altruísta é implementada com a função de penalidade interna. Por fim, os resultados da simulação demonstram que a eficácia das condições suficientes e do método proposto apresenta diferentes desempenhos e vantagens.
Zijia HUANG
the 20th Research Institute of China Electronics Technology Group Corporation
Qinghai YANG
Xidian University
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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
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@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},}
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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 -