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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami menganggap rangkaian selular berdasar peranti ke peranti (D2D) yang mana komunikasi D2D dibenarkan berkongsi spektrum radio yang sama dengan komunikasi pautan atas selular untuk meningkatkan kecekapan spektrum. Walau bagaimanapun, untuk melindungi komunikasi pautan atas selular, tahap gangguan yang diterima di stesen pangkalan (BS) daripada komunikasi D2D perlu dikekalkan dengan teliti di bawah ambang tertentu, dan dengan itu BS menyelaraskan kuasa penghantaran pautan D2D. Dalam kertas ini, kami menyiasat kawalan kuasa hidup-mati untuk pautan D2D, yang dikenali sebagai teknik yang mudah tetapi berkesan kerana overhed isyaratnya yang rendah. Kami mula-mula menyiasat algoritma kawalan kuasa hidup-mati yang optimum untuk memaksimumkan kadar jumlah pautan D2D, sambil memenuhi kekangan gangguan yang dikenakan oleh BS. Kerumitan pengiraan algoritma optimum meningkat secara drastik dengan nombor pautan D2D. Oleh itu, kami juga mencadangkan algoritma kawalan kuasa hidup-mati untuk mengurangkan kerumitan pengiraan dengan ketara, berbanding algoritma kawalan kuasa hidup-mati yang optimum. Simulasi meluas mengesahkan bahawa algoritma yang dicadangkan mengurangkan kerumitan pengiraan dengan ketara dengan mengimbangi kadar jumlah marginal daripada algoritma optimum.
Tae-Won BAN
Gyeongsang National University
Bang Chul JUNG
Chungnam National University
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Salinan
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
Salinan
@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},}
Salinan
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 -