IEICE TRANSACTIONS on Communications
On-Off Power Control with Low Complexity in D2D Underlaid Cellular Networks
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.9 pp.1961-1966
- Publication Date
- 2018/09/01
- Publicized
- 2018/03/20
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017EBP3194
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Tae-Won BAN
Gyeongsang National University
Bang Chul JUNG
Chungnam National University
Keyword
Latest Issue
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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},}
Copy
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 -
English
