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
A ultradensificação da rede de acesso por rádio (RAN) é essencial para lidar com eficiência com o crescente tráfego de dados móveis. Neste artigo, um agrupamento e agendamento conjunto de usuários em múltiplas camadas é proposto como um esquema de coordenação de interferência entre clusters para RAN ultradensa usando transmissão/recepção MIMO distribuída em cluster. O agrupamento e agendamento conjunto de usuários em várias camadas proposto consiste em agrupamento de usuários usando o algoritmo K-means, camadas de cluster de usuário (chamadas de multicamadas) com base na distância de deslocamento de interferência (IOD), associação de cluster-antena em cada camada e agendamento do tipo round-robin em camadas. A capacidade do usuário, a capacidade de soma e a justiça são avaliadas por simulações de computador para mostrar a eficácia do agrupamento e agendamento conjunto de usuários em múltiplas camadas proposto. Também são mostradas comparações de capacidade de uplink e downlink e configuração ideal de IOD, considerando a compensação entre mitigação de interferência entre clusters e oportunidade de transmissão.
Ryo TAKAHASHI
Tohoku University
Hidenori MATSUO
Tohoku University
Fumiyuki ADACHI
Tohoku University
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Ryo TAKAHASHI, Hidenori MATSUO, Fumiyuki ADACHI, "Joint Multi-Layered User Clustering and Scheduling for Ultra-Dense RAN Using Distributed MIMO" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 9, pp. 1097-1109, September 2021, doi: 10.1587/transcom.2020FGP0010.
Abstract: Ultra-densification of radio access network (RAN) is essential to efficiently handle the ever-increasing mobile data traffic. In this paper, a joint multi-layered user clustering and scheduling is proposed as an inter-cluster interference coordination scheme for ultra-dense RAN using cluster-wise distributed MIMO transmission/reception. The proposed joint multi-layered user clustering and scheduling consists of user clustering using the K-means algorithm, user-cluster layering (called multi-layering) based on the interference-offset-distance (IOD), cluster-antenna association on each layer, and layer-wise round-robin-type scheduling. The user capacity, the sum capacity, and the fairness are evaluated by computer simulations to show the effectiveness of the proposed joint multi-layered user clustering and scheduling. Also shown are uplink and downlink capacity comparisons and optimal IOD setting considering the trade-off between inter-cluster interference mitigation and transmission opportunity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020FGP0010/_p
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@ARTICLE{e104-b_9_1097,
author={Ryo TAKAHASHI, Hidenori MATSUO, Fumiyuki ADACHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Multi-Layered User Clustering and Scheduling for Ultra-Dense RAN Using Distributed MIMO},
year={2021},
volume={E104-B},
number={9},
pages={1097-1109},
abstract={Ultra-densification of radio access network (RAN) is essential to efficiently handle the ever-increasing mobile data traffic. In this paper, a joint multi-layered user clustering and scheduling is proposed as an inter-cluster interference coordination scheme for ultra-dense RAN using cluster-wise distributed MIMO transmission/reception. The proposed joint multi-layered user clustering and scheduling consists of user clustering using the K-means algorithm, user-cluster layering (called multi-layering) based on the interference-offset-distance (IOD), cluster-antenna association on each layer, and layer-wise round-robin-type scheduling. The user capacity, the sum capacity, and the fairness are evaluated by computer simulations to show the effectiveness of the proposed joint multi-layered user clustering and scheduling. Also shown are uplink and downlink capacity comparisons and optimal IOD setting considering the trade-off between inter-cluster interference mitigation and transmission opportunity.},
keywords={},
doi={10.1587/transcom.2020FGP0010},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Joint Multi-Layered User Clustering and Scheduling for Ultra-Dense RAN Using Distributed MIMO
T2 - IEICE TRANSACTIONS on Communications
SP - 1097
EP - 1109
AU - Ryo TAKAHASHI
AU - Hidenori MATSUO
AU - Fumiyuki ADACHI
PY - 2021
DO - 10.1587/transcom.2020FGP0010
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2021
AB - Ultra-densification of radio access network (RAN) is essential to efficiently handle the ever-increasing mobile data traffic. In this paper, a joint multi-layered user clustering and scheduling is proposed as an inter-cluster interference coordination scheme for ultra-dense RAN using cluster-wise distributed MIMO transmission/reception. The proposed joint multi-layered user clustering and scheduling consists of user clustering using the K-means algorithm, user-cluster layering (called multi-layering) based on the interference-offset-distance (IOD), cluster-antenna association on each layer, and layer-wise round-robin-type scheduling. The user capacity, the sum capacity, and the fairness are evaluated by computer simulations to show the effectiveness of the proposed joint multi-layered user clustering and scheduling. Also shown are uplink and downlink capacity comparisons and optimal IOD setting considering the trade-off between inter-cluster interference mitigation and transmission opportunity.
ER -