The layered cell configuration, in which a large number of small cells are set in a macro-cell coverage area, is attracting much attention recently as a promising approach to handle the rapidly increasing mobile data traffic. In this configuration, cells of various sizes, from macro to small, are placed in various locations, so that the variation in the number and the distribution of the users among cells becomes much wider than in conventional macro-cell homogeneous networks. Therefore, even in the layered cell configuration, the users in the cell with many users and low received signal quality may experience low throughput especially at cell edge. This is because such users experience both low spectral efficiency and few radio resources. In order to resolve this issue, a lot of techniques have been proposed such as load balancing and cooperative multi-point transmission. In this paper, we focus on scheduling priority control as a simple solution that can also be used in combination with load balancing and coordinated multi-point transmission. We propose an adaptive scheduling priority control scheme based on the congestion and user distribution of each cell and clarify the effect of the proposed method by computer simulations.
Atsushi NAGATE
SoftBank Corporation
Teruya FUJII
SoftBank Corporation
Masayuki MURATA
Osaka University
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Atsushi NAGATE, Teruya FUJII, Masayuki MURATA, "A Study on Adaptive Scheduling Priority Control for Layered Cell Configuration" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 2, pp. 372-379, February 2017, doi: 10.1587/transcom.2015EBP3537.
Abstract: The layered cell configuration, in which a large number of small cells are set in a macro-cell coverage area, is attracting much attention recently as a promising approach to handle the rapidly increasing mobile data traffic. In this configuration, cells of various sizes, from macro to small, are placed in various locations, so that the variation in the number and the distribution of the users among cells becomes much wider than in conventional macro-cell homogeneous networks. Therefore, even in the layered cell configuration, the users in the cell with many users and low received signal quality may experience low throughput especially at cell edge. This is because such users experience both low spectral efficiency and few radio resources. In order to resolve this issue, a lot of techniques have been proposed such as load balancing and cooperative multi-point transmission. In this paper, we focus on scheduling priority control as a simple solution that can also be used in combination with load balancing and coordinated multi-point transmission. We propose an adaptive scheduling priority control scheme based on the congestion and user distribution of each cell and clarify the effect of the proposed method by computer simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3537/_p
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@ARTICLE{e100-b_2_372,
author={Atsushi NAGATE, Teruya FUJII, Masayuki MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Study on Adaptive Scheduling Priority Control for Layered Cell Configuration},
year={2017},
volume={E100-B},
number={2},
pages={372-379},
abstract={The layered cell configuration, in which a large number of small cells are set in a macro-cell coverage area, is attracting much attention recently as a promising approach to handle the rapidly increasing mobile data traffic. In this configuration, cells of various sizes, from macro to small, are placed in various locations, so that the variation in the number and the distribution of the users among cells becomes much wider than in conventional macro-cell homogeneous networks. Therefore, even in the layered cell configuration, the users in the cell with many users and low received signal quality may experience low throughput especially at cell edge. This is because such users experience both low spectral efficiency and few radio resources. In order to resolve this issue, a lot of techniques have been proposed such as load balancing and cooperative multi-point transmission. In this paper, we focus on scheduling priority control as a simple solution that can also be used in combination with load balancing and coordinated multi-point transmission. We propose an adaptive scheduling priority control scheme based on the congestion and user distribution of each cell and clarify the effect of the proposed method by computer simulations.},
keywords={},
doi={10.1587/transcom.2015EBP3537},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - A Study on Adaptive Scheduling Priority Control for Layered Cell Configuration
T2 - IEICE TRANSACTIONS on Communications
SP - 372
EP - 379
AU - Atsushi NAGATE
AU - Teruya FUJII
AU - Masayuki MURATA
PY - 2017
DO - 10.1587/transcom.2015EBP3537
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2017
AB - The layered cell configuration, in which a large number of small cells are set in a macro-cell coverage area, is attracting much attention recently as a promising approach to handle the rapidly increasing mobile data traffic. In this configuration, cells of various sizes, from macro to small, are placed in various locations, so that the variation in the number and the distribution of the users among cells becomes much wider than in conventional macro-cell homogeneous networks. Therefore, even in the layered cell configuration, the users in the cell with many users and low received signal quality may experience low throughput especially at cell edge. This is because such users experience both low spectral efficiency and few radio resources. In order to resolve this issue, a lot of techniques have been proposed such as load balancing and cooperative multi-point transmission. In this paper, we focus on scheduling priority control as a simple solution that can also be used in combination with load balancing and coordinated multi-point transmission. We propose an adaptive scheduling priority control scheme based on the congestion and user distribution of each cell and clarify the effect of the proposed method by computer simulations.
ER -