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
Em implantações de pequenas células, o uso combinado de associação de usuários e coordenação de interferência intercelular (ICIC) é inevitável. Este artigo investiga a otimização conjunta da associação de usuários e ICIC no downlink. Primeiro formulamos o problema de otimização conjunta como um problema de maximização de utilidade. Em seguida, empregamos a função de utilidade logarítmica conhecida como justo proporcional critério. A associação ótima de usuários e o ICIC são derivados resolvendo um problema convexo problema de otimização baseado nas eficiências espectrais médias de todos os usuários. Propomos um algoritmo iterativo para obter a solução ótima para este problema. Avaliamos o desempenho do algoritmo proposto para implantações em pequenas células e mostramos que o algoritmo proposto funciona bem. Também comparamos o desempenho do algoritmo proposto baseado na associação do usuário de maximização da utilidade com o CRE, e mostramos a superioridade da maximização da utilidade. Além disso, mostramos que o ICIC intra-camada e o ICIC inter-camada podem efetivamente melhorar o desempenho do rendimento de acordo com as condições. Também é mostrado que o uso combinado de ICIC intercamadas e ICIC intracamadas melhora o desempenho da taxa de transferência em comparação com esquemas que empregam o esquema ICIC inter ou intracamadas.
Nobuhiko MIKI
Kagawa University
Yusaku KANEHIRA
Kagawa University
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Nobuhiko MIKI, Yusaku KANEHIRA, "Joint Optimization for User Association and Inter-Cell Interference Coordination Based on Proportional Fair Criteria in Small Cell Deployments" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 3, pp. 253-261, March 2020, doi: 10.1587/transcom.2019EBP3040.
Abstract: In small cell deployments, the combined usage of user association and inter-cell interference coordination (ICIC) is inevitable. This paper investigates the joint optimization of user association and ICIC in the downlink. We first formulate the joint optimization problem as a utility maximization problem. We then employ the logarithmic utility function known as the proportional fair criteria. The optimum user association and the ICIC are derived by solving a convex optimization problem based on the average spectral efficiencies of all users. We propose an iterative algorithm to obtain the optimum solution to this problem. We evaluate the performance of the proposed algorithm for the small cell deployments and shows that the proposed algorithm works well. We also compare the performance of the proposed algorithm based on utility maximization user association with the CRE, and show the superiority of the utility maximization. Furthermore, we show that intra-tier ICIC and inter-tier ICIC can effectively improve the throughput performance according to the conditions. It is also shown that the combined usage of inter-tier ICIC and intra-tier ICIC enhances the throughput performance compared to schemes employing either the inter- or intra-tier ICIC scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3040/_p
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@ARTICLE{e103-b_3_253,
author={Nobuhiko MIKI, Yusaku KANEHIRA, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Optimization for User Association and Inter-Cell Interference Coordination Based on Proportional Fair Criteria in Small Cell Deployments},
year={2020},
volume={E103-B},
number={3},
pages={253-261},
abstract={In small cell deployments, the combined usage of user association and inter-cell interference coordination (ICIC) is inevitable. This paper investigates the joint optimization of user association and ICIC in the downlink. We first formulate the joint optimization problem as a utility maximization problem. We then employ the logarithmic utility function known as the proportional fair criteria. The optimum user association and the ICIC are derived by solving a convex optimization problem based on the average spectral efficiencies of all users. We propose an iterative algorithm to obtain the optimum solution to this problem. We evaluate the performance of the proposed algorithm for the small cell deployments and shows that the proposed algorithm works well. We also compare the performance of the proposed algorithm based on utility maximization user association with the CRE, and show the superiority of the utility maximization. Furthermore, we show that intra-tier ICIC and inter-tier ICIC can effectively improve the throughput performance according to the conditions. It is also shown that the combined usage of inter-tier ICIC and intra-tier ICIC enhances the throughput performance compared to schemes employing either the inter- or intra-tier ICIC scheme.},
keywords={},
doi={10.1587/transcom.2019EBP3040},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Joint Optimization for User Association and Inter-Cell Interference Coordination Based on Proportional Fair Criteria in Small Cell Deployments
T2 - IEICE TRANSACTIONS on Communications
SP - 253
EP - 261
AU - Nobuhiko MIKI
AU - Yusaku KANEHIRA
PY - 2020
DO - 10.1587/transcom.2019EBP3040
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2020
AB - In small cell deployments, the combined usage of user association and inter-cell interference coordination (ICIC) is inevitable. This paper investigates the joint optimization of user association and ICIC in the downlink. We first formulate the joint optimization problem as a utility maximization problem. We then employ the logarithmic utility function known as the proportional fair criteria. The optimum user association and the ICIC are derived by solving a convex optimization problem based on the average spectral efficiencies of all users. We propose an iterative algorithm to obtain the optimum solution to this problem. We evaluate the performance of the proposed algorithm for the small cell deployments and shows that the proposed algorithm works well. We also compare the performance of the proposed algorithm based on utility maximization user association with the CRE, and show the superiority of the utility maximization. Furthermore, we show that intra-tier ICIC and inter-tier ICIC can effectively improve the throughput performance according to the conditions. It is also shown that the combined usage of inter-tier ICIC and intra-tier ICIC enhances the throughput performance compared to schemes employing either the inter- or intra-tier ICIC scheme.
ER -