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
Nous considérons un réseau cellulaire sous-jacent d'appareil à appareil (D2D) dans lequel les communications D2D sont autorisées à partager le même spectre radio avec les communications cellulaires en liaison montante pour améliorer l'efficacité spectrale. Cependant, pour protéger les communications cellulaires montantes, le niveau d'interférence reçu au niveau d'une station de base (BS) en provenance des communications D2D doit être soigneusement maintenu en dessous d'un certain seuil, et la BS coordonne donc la puissance d'émission des liaisons D2D. Dans cet article, nous étudions contrôle de puissance marche-arrêt pour les liaisons D2D, qui est connue comme une technique simple mais efficace en raison de sa faible surcharge de signalisation. Nous étudions d'abord l'algorithme optimal de contrôle de puissance marche-arrêt pour maximiser le débit somme des liaisons D2D, tout en satisfaisant la contrainte d'interférence imposée par la BS. La complexité de calcul de l'algorithme optimal augmente considérablement avec le nombre de liens D2D. Ainsi, nous proposons également un algorithme de contrôle de puissance tout ou rien pour réduire considérablement la complexité de calcul, par rapport à l’algorithme de contrôle de puissance tout ou rien optimal. Des simulations approfondies valident que l'algorithme proposé réduit considérablement la complexité de calcul avec un décalage marginal du taux de somme par rapport à l'algorithme optimal.
Tae-Won BAN
Gyeongsang National University
Bang Chul JUNG
Chungnam National University
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Tae-Won BAN, Bang Chul JUNG, "On-Off Power Control with Low Complexity in D2D Underlaid Cellular Networks" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 9, pp. 1961-1966, September 2018, doi: 10.1587/transcom.2017EBP3194.
Abstract: We consider a device-to-device (D2D) underlaid cellular network where D2D communications are allowed to share the same radio spectrum with cellular uplink communications for improving spectral efficiency. However, to protect the cellular uplink communications, the interference level received at a base station (BS) from the D2D communications needs to be carefully maintained below a certain threshold, and thus the BS coordinates the transmit power of the D2D links. In this paper, we investigate on-off power control for the D2D links, which is known as a simple but effective technique due to its low signaling overhead. We first investigate the optimal on-off power control algorithm to maximize the sum-rate of the D2D links, while satisfying the interference constraint imposed by the BS. The computational complexity of the optimal algorithm drastically increases with D2D link number. Thus, we also propose an on-off power control algorithm to significantly reduce the computational complexity, compared to the optimal on-off power control algorithm. Extensive simulations validate that the proposed algorithm significantly reduces the computational complexity with a marginal sum-rate offset from the optimal algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3194/_p
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@ARTICLE{e101-b_9_1961,
author={Tae-Won BAN, Bang Chul JUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={On-Off Power Control with Low Complexity in D2D Underlaid Cellular Networks},
year={2018},
volume={E101-B},
number={9},
pages={1961-1966},
abstract={We consider a device-to-device (D2D) underlaid cellular network where D2D communications are allowed to share the same radio spectrum with cellular uplink communications for improving spectral efficiency. However, to protect the cellular uplink communications, the interference level received at a base station (BS) from the D2D communications needs to be carefully maintained below a certain threshold, and thus the BS coordinates the transmit power of the D2D links. In this paper, we investigate on-off power control for the D2D links, which is known as a simple but effective technique due to its low signaling overhead. We first investigate the optimal on-off power control algorithm to maximize the sum-rate of the D2D links, while satisfying the interference constraint imposed by the BS. The computational complexity of the optimal algorithm drastically increases with D2D link number. Thus, we also propose an on-off power control algorithm to significantly reduce the computational complexity, compared to the optimal on-off power control algorithm. Extensive simulations validate that the proposed algorithm significantly reduces the computational complexity with a marginal sum-rate offset from the optimal algorithm.},
keywords={},
doi={10.1587/transcom.2017EBP3194},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - On-Off Power Control with Low Complexity in D2D Underlaid Cellular Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1961
EP - 1966
AU - Tae-Won BAN
AU - Bang Chul JUNG
PY - 2018
DO - 10.1587/transcom.2017EBP3194
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2018
AB - We consider a device-to-device (D2D) underlaid cellular network where D2D communications are allowed to share the same radio spectrum with cellular uplink communications for improving spectral efficiency. However, to protect the cellular uplink communications, the interference level received at a base station (BS) from the D2D communications needs to be carefully maintained below a certain threshold, and thus the BS coordinates the transmit power of the D2D links. In this paper, we investigate on-off power control for the D2D links, which is known as a simple but effective technique due to its low signaling overhead. We first investigate the optimal on-off power control algorithm to maximize the sum-rate of the D2D links, while satisfying the interference constraint imposed by the BS. The computational complexity of the optimal algorithm drastically increases with D2D link number. Thus, we also propose an on-off power control algorithm to significantly reduce the computational complexity, compared to the optimal on-off power control algorithm. Extensive simulations validate that the proposed algorithm significantly reduces the computational complexity with a marginal sum-rate offset from the optimal algorithm.
ER -