Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel
In multiuser optical wireless communications (OWC), the multiuser interference becomes significant as the number of users increases. This would lead to a poor quality of service with a low signal-to-interference-plus-noise-ratio (SINR) or even a failure of service. In this paper, we consider coordin...
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doaj-c225c6ba3d8b42f9922909f2e3e3dc922021-03-29T18:04:13ZengIEEEIEEE Photonics Journal1943-06552020-01-0112611210.1109/JPHOT.2020.30364649250450Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson ChannelSudhanshu Arya0https://orcid.org/0000-0002-6030-5258Yeon Ho Chung1https://orcid.org/0000-0001-9510-3739Department of Information and Communications Engineering, Pukyong National University, Busan, Republic of KoreaDepartment of Information and Communications Engineering, Pukyong National University, Busan, Republic of KoreaIn multiuser optical wireless communications (OWC), the multiuser interference becomes significant as the number of users increases. This would lead to a poor quality of service with a low signal-to-interference-plus-noise-ratio (SINR) or even a failure of service. In this paper, we consider coordination among multiple users to maximize the capacity in a multiple-input single-output (MISO) interference-limited discrete-time Poisson channel from a game-theoretic perspective. With power constraints imposed, the resource allocation problem can be interpreted as a downlink beamforming game. To improve the capacity in a power- and interference-limited channel, we model the problem as a cooperative game and propose an altruistic algorithm using the Nash bargaining, where each self-interested user attempts to maximize its capacity through cooperation. Moreover, to compare the performance with a non-game-theoretic approach, a convex optimization framework is developed. It is shown that the proposed Nash bargaining yields significant performance improvement when compared with the Nash equilibrium in the non-cooperative game. It is also found that in a power- and interference-limited channel, self-interested but cooperative users can provide a significant performance improvement over the convex optimization based non-game-theoretic approach.https://ieeexplore.ieee.org/document/9250450/Cooperative gamenash bargainingnash equilibriumoptical communicationspoisson fading channel |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sudhanshu Arya Yeon Ho Chung |
spellingShingle |
Sudhanshu Arya Yeon Ho Chung Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel IEEE Photonics Journal Cooperative game nash bargaining nash equilibrium optical communications poisson fading channel |
author_facet |
Sudhanshu Arya Yeon Ho Chung |
author_sort |
Sudhanshu Arya |
title |
Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel |
title_short |
Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel |
title_full |
Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel |
title_fullStr |
Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel |
title_full_unstemmed |
Capacity Maximization Using Nash Bargaining in Indoor Optical Multiuser Interference-Limited Poisson Channel |
title_sort |
capacity maximization using nash bargaining in indoor optical multiuser interference-limited poisson channel |
publisher |
IEEE |
series |
IEEE Photonics Journal |
issn |
1943-0655 |
publishDate |
2020-01-01 |
description |
In multiuser optical wireless communications (OWC), the multiuser interference becomes significant as the number of users increases. This would lead to a poor quality of service with a low signal-to-interference-plus-noise-ratio (SINR) or even a failure of service. In this paper, we consider coordination among multiple users to maximize the capacity in a multiple-input single-output (MISO) interference-limited discrete-time Poisson channel from a game-theoretic perspective. With power constraints imposed, the resource allocation problem can be interpreted as a downlink beamforming game. To improve the capacity in a power- and interference-limited channel, we model the problem as a cooperative game and propose an altruistic algorithm using the Nash bargaining, where each self-interested user attempts to maximize its capacity through cooperation. Moreover, to compare the performance with a non-game-theoretic approach, a convex optimization framework is developed. It is shown that the proposed Nash bargaining yields significant performance improvement when compared with the Nash equilibrium in the non-cooperative game. It is also found that in a power- and interference-limited channel, self-interested but cooperative users can provide a significant performance improvement over the convex optimization based non-game-theoretic approach. |
topic |
Cooperative game nash bargaining nash equilibrium optical communications poisson fading channel |
url |
https://ieeexplore.ieee.org/document/9250450/ |
work_keys_str_mv |
AT sudhanshuarya capacitymaximizationusingnashbargaininginindooropticalmultiuserinterferencelimitedpoissonchannel AT yeonhochung capacitymaximizationusingnashbargaininginindooropticalmultiuserinterferencelimitedpoissonchannel |
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1724196869834276864 |