IEICE TRANSACTIONS on Fundamentals
Joint Deployment of RGB-D Cameras and Base Stations for Camera-Assisted mmWave Communication System
Summary :
A joint deployment of base stations (BSs) and RGB-depth (RGB-D) cameras for camera-assisted millimeter-wave (mmWave) access networks is discussed in this paper. For the deployment of a wide variety of devices in heterogeneous networks, it is crucial to consider the synergistic effects among the different types of nodes. A synergy between mmWave networks and cameras reduces the power consumption of mmWave BSs through sleep control. A purpose of this work is to optimize the number of nodes of each type, to maximize the average achievable rate within the constraint of a predefined total power budget. A stochastic deployment problem is formulated as a submodular optimization problem, by assuming that the deployment of BSs and cameras forms two independent Poisson point processes. An approximate algorithm is presented to solve the deployment problem, and it is proved that a (1-e-1)/2-approximate solution can be obtained for submodular optimization, using a modified greedy algorithm. The numerical results reveal the deployment conditions under which the average achievable rate of the camera-assisted mmWave system is higher than that of a conventional system that does not employ RGB-D cameras.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2332-2340
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2332
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Communication Systems
Authors
Yuta OGUMA
Kyoto University
Takayuki NISHIO
Kyoto University
Koji YAMAMOTO
Kyoto University
Masahiro MORIKURA
Kyoto University
Keyword
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Yuta OGUMA, Takayuki NISHIO, Koji YAMAMOTO, Masahiro MORIKURA, "Joint Deployment of RGB-D Cameras and Base Stations for Camera-Assisted mmWave Communication System" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2332-2340, November 2017, doi: 10.1587/transfun.E100.A.2332.
Abstract: A joint deployment of base stations (BSs) and RGB-depth (RGB-D) cameras for camera-assisted millimeter-wave (mmWave) access networks is discussed in this paper. For the deployment of a wide variety of devices in heterogeneous networks, it is crucial to consider the synergistic effects among the different types of nodes. A synergy between mmWave networks and cameras reduces the power consumption of mmWave BSs through sleep control. A purpose of this work is to optimize the number of nodes of each type, to maximize the average achievable rate within the constraint of a predefined total power budget. A stochastic deployment problem is formulated as a submodular optimization problem, by assuming that the deployment of BSs and cameras forms two independent Poisson point processes. An approximate algorithm is presented to solve the deployment problem, and it is proved that a (1-e-1)/2-approximate solution can be obtained for submodular optimization, using a modified greedy algorithm. The numerical results reveal the deployment conditions under which the average achievable rate of the camera-assisted mmWave system is higher than that of a conventional system that does not employ RGB-D cameras.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2332/_p
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@ARTICLE{e100-a_11_2332,
author={Yuta OGUMA, Takayuki NISHIO, Koji YAMAMOTO, Masahiro MORIKURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Joint Deployment of RGB-D Cameras and Base Stations for Camera-Assisted mmWave Communication System},
year={2017},
volume={E100-A},
number={11},
pages={2332-2340},
abstract={A joint deployment of base stations (BSs) and RGB-depth (RGB-D) cameras for camera-assisted millimeter-wave (mmWave) access networks is discussed in this paper. For the deployment of a wide variety of devices in heterogeneous networks, it is crucial to consider the synergistic effects among the different types of nodes. A synergy between mmWave networks and cameras reduces the power consumption of mmWave BSs through sleep control. A purpose of this work is to optimize the number of nodes of each type, to maximize the average achievable rate within the constraint of a predefined total power budget. A stochastic deployment problem is formulated as a submodular optimization problem, by assuming that the deployment of BSs and cameras forms two independent Poisson point processes. An approximate algorithm is presented to solve the deployment problem, and it is proved that a (1-e-1)/2-approximate solution can be obtained for submodular optimization, using a modified greedy algorithm. The numerical results reveal the deployment conditions under which the average achievable rate of the camera-assisted mmWave system is higher than that of a conventional system that does not employ RGB-D cameras.},
keywords={},
doi={10.1587/transfun.E100.A.2332},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Joint Deployment of RGB-D Cameras and Base Stations for Camera-Assisted mmWave Communication System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2332
EP - 2340
AU - Yuta OGUMA
AU - Takayuki NISHIO
AU - Koji YAMAMOTO
AU - Masahiro MORIKURA
PY - 2017
DO - 10.1587/transfun.E100.A.2332
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - A joint deployment of base stations (BSs) and RGB-depth (RGB-D) cameras for camera-assisted millimeter-wave (mmWave) access networks is discussed in this paper. For the deployment of a wide variety of devices in heterogeneous networks, it is crucial to consider the synergistic effects among the different types of nodes. A synergy between mmWave networks and cameras reduces the power consumption of mmWave BSs through sleep control. A purpose of this work is to optimize the number of nodes of each type, to maximize the average achievable rate within the constraint of a predefined total power budget. A stochastic deployment problem is formulated as a submodular optimization problem, by assuming that the deployment of BSs and cameras forms two independent Poisson point processes. An approximate algorithm is presented to solve the deployment problem, and it is proved that a (1-e-1)/2-approximate solution can be obtained for submodular optimization, using a modified greedy algorithm. The numerical results reveal the deployment conditions under which the average achievable rate of the camera-assisted mmWave system is higher than that of a conventional system that does not employ RGB-D cameras.
ER -
English
