This paper proposes a proportional fair-based joint optimization method for user association and the bandwidth ratio of protected radio resources exclusively used by pico base stations (BSs) for inter-cell interference coordination (ICIC) in heterogeneous networks where low transmission-power pico BSs overlay a high transmission-power macro BS. The proposed method employs an iterative algorithm, in which the user association process for a given bandwidth ratio of protected radio resources and the bandwidth ratio control of protected radio resources for a given user association are applied alternately and repeatedly up to convergence. For user association, we use our previously reported decentralized iterative user association method based on the feedback information of each individual user assisted by a small amount of broadcast information from the respective BSs. Based on numerical results, we show that the proposed method adaptively achieves optimal user association and bandwidth ratio control of protected radio resources, which maximizes the geometric mean user throughput within the macrocell coverage area. The system throughput of the proposed method is compared to that for conventional approaches to show the performance gain.
Yoshitaka IKEDA
Tokyo University of Science
Shozo OKASAKA
Panasonic Corporation
Kenichi HIGUCHI
Tokyo University of Science
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Yoshitaka IKEDA, Shozo OKASAKA, Kenichi HIGUCHI, "Joint Optimization of User Association and Inter-Cell Interference Coordination for Proportional Fair-Based System Throughput Maximization in Heterogeneous Cellular Networks" in IEICE TRANSACTIONS on Communications,
vol. E100-B, no. 8, pp. 1334-1342, August 2017, doi: 10.1587/transcom.2016FGP0013.
Abstract: This paper proposes a proportional fair-based joint optimization method for user association and the bandwidth ratio of protected radio resources exclusively used by pico base stations (BSs) for inter-cell interference coordination (ICIC) in heterogeneous networks where low transmission-power pico BSs overlay a high transmission-power macro BS. The proposed method employs an iterative algorithm, in which the user association process for a given bandwidth ratio of protected radio resources and the bandwidth ratio control of protected radio resources for a given user association are applied alternately and repeatedly up to convergence. For user association, we use our previously reported decentralized iterative user association method based on the feedback information of each individual user assisted by a small amount of broadcast information from the respective BSs. Based on numerical results, we show that the proposed method adaptively achieves optimal user association and bandwidth ratio control of protected radio resources, which maximizes the geometric mean user throughput within the macrocell coverage area. The system throughput of the proposed method is compared to that for conventional approaches to show the performance gain.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016FGP0013/_p
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@ARTICLE{e100-b_8_1334,
author={Yoshitaka IKEDA, Shozo OKASAKA, Kenichi HIGUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Optimization of User Association and Inter-Cell Interference Coordination for Proportional Fair-Based System Throughput Maximization in Heterogeneous Cellular Networks},
year={2017},
volume={E100-B},
number={8},
pages={1334-1342},
abstract={This paper proposes a proportional fair-based joint optimization method for user association and the bandwidth ratio of protected radio resources exclusively used by pico base stations (BSs) for inter-cell interference coordination (ICIC) in heterogeneous networks where low transmission-power pico BSs overlay a high transmission-power macro BS. The proposed method employs an iterative algorithm, in which the user association process for a given bandwidth ratio of protected radio resources and the bandwidth ratio control of protected radio resources for a given user association are applied alternately and repeatedly up to convergence. For user association, we use our previously reported decentralized iterative user association method based on the feedback information of each individual user assisted by a small amount of broadcast information from the respective BSs. Based on numerical results, we show that the proposed method adaptively achieves optimal user association and bandwidth ratio control of protected radio resources, which maximizes the geometric mean user throughput within the macrocell coverage area. The system throughput of the proposed method is compared to that for conventional approaches to show the performance gain.},
keywords={},
doi={10.1587/transcom.2016FGP0013},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Joint Optimization of User Association and Inter-Cell Interference Coordination for Proportional Fair-Based System Throughput Maximization in Heterogeneous Cellular Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1334
EP - 1342
AU - Yoshitaka IKEDA
AU - Shozo OKASAKA
AU - Kenichi HIGUCHI
PY - 2017
DO - 10.1587/transcom.2016FGP0013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2017
AB - This paper proposes a proportional fair-based joint optimization method for user association and the bandwidth ratio of protected radio resources exclusively used by pico base stations (BSs) for inter-cell interference coordination (ICIC) in heterogeneous networks where low transmission-power pico BSs overlay a high transmission-power macro BS. The proposed method employs an iterative algorithm, in which the user association process for a given bandwidth ratio of protected radio resources and the bandwidth ratio control of protected radio resources for a given user association are applied alternately and repeatedly up to convergence. For user association, we use our previously reported decentralized iterative user association method based on the feedback information of each individual user assisted by a small amount of broadcast information from the respective BSs. Based on numerical results, we show that the proposed method adaptively achieves optimal user association and bandwidth ratio control of protected radio resources, which maximizes the geometric mean user throughput within the macrocell coverage area. The system throughput of the proposed method is compared to that for conventional approaches to show the performance gain.
ER -