IEICE TRANSACTIONS on Fundamentals
Game-Theory Modeling of Multicolor LED-Based VLC Systems under Smart Interference
Summary :
In this letter, we study an interference scenario under a smart interferer which observes color channels and interferes with a visible light communication (VLC) network. We formulate the smart interference problem based on a Stackelberg game and propose an optimal response algorithm to overcome the interference by optimizing transmit power and sub-color channel allocation. The proposed optimization algorithm is composed with Lagrangian dual decomposition and non-linear fractional programming to have stability to get optimum points. Numerical results show that the utility by the proposed algorithm is increased over that of the algorithm based on the Nash game and the baseline schemes.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.3 pp.656-660
- Publication Date
- 2021/03/01
- Publicized
- 2020/09/09
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020EAL2029
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Yu Min HWANG
University of Western Ontario
Isaac SIM
Kwangwoon University
Young Ghyu SUN
Kwangwoon University
Ju Phil CHO
Kunsan National University
Jin Young KIM
Kwangwoon University
Keyword
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Yu Min HWANG, Isaac SIM, Young Ghyu SUN, Ju Phil CHO, Jin Young KIM, "Game-Theory Modeling of Multicolor LED-Based VLC Systems under Smart Interference" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 3, pp. 656-660, March 2021, doi: 10.1587/transfun.2020EAL2029.
Abstract: In this letter, we study an interference scenario under a smart interferer which observes color channels and interferes with a visible light communication (VLC) network. We formulate the smart interference problem based on a Stackelberg game and propose an optimal response algorithm to overcome the interference by optimizing transmit power and sub-color channel allocation. The proposed optimization algorithm is composed with Lagrangian dual decomposition and non-linear fractional programming to have stability to get optimum points. Numerical results show that the utility by the proposed algorithm is increased over that of the algorithm based on the Nash game and the baseline schemes.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2029/_p
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@ARTICLE{e104-a_3_656,
author={Yu Min HWANG, Isaac SIM, Young Ghyu SUN, Ju Phil CHO, Jin Young KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Game-Theory Modeling of Multicolor LED-Based VLC Systems under Smart Interference},
year={2021},
volume={E104-A},
number={3},
pages={656-660},
abstract={In this letter, we study an interference scenario under a smart interferer which observes color channels and interferes with a visible light communication (VLC) network. We formulate the smart interference problem based on a Stackelberg game and propose an optimal response algorithm to overcome the interference by optimizing transmit power and sub-color channel allocation. The proposed optimization algorithm is composed with Lagrangian dual decomposition and non-linear fractional programming to have stability to get optimum points. Numerical results show that the utility by the proposed algorithm is increased over that of the algorithm based on the Nash game and the baseline schemes.},
keywords={},
doi={10.1587/transfun.2020EAL2029},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Game-Theory Modeling of Multicolor LED-Based VLC Systems under Smart Interference
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 656
EP - 660
AU - Yu Min HWANG
AU - Isaac SIM
AU - Young Ghyu SUN
AU - Ju Phil CHO
AU - Jin Young KIM
PY - 2021
DO - 10.1587/transfun.2020EAL2029
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2021
AB - In this letter, we study an interference scenario under a smart interferer which observes color channels and interferes with a visible light communication (VLC) network. We formulate the smart interference problem based on a Stackelberg game and propose an optimal response algorithm to overcome the interference by optimizing transmit power and sub-color channel allocation. The proposed optimization algorithm is composed with Lagrangian dual decomposition and non-linear fractional programming to have stability to get optimum points. Numerical results show that the utility by the proposed algorithm is increased over that of the algorithm based on the Nash game and the baseline schemes.
ER -
English
