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BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker
by
Duan, Zengchao
, Hasegawa, Mikio
, Naruse, Makoto
, Li, Aohan
, Sugiyama, Masaki
in
Adaptation
/ Algorithms
/ Bit error rate
/ Communication channels
/ Communications systems
/ Decision making
/ Deep learning
/ Error analysis
/ Error correction
/ Error correction & detection
/ Gaming machines
/ Internet of Things
/ Lasers
/ Machine learning
/ Nonorthogonal multiple access
/ Real time operation
/ Wireless communication systems
/ Wireless networks
2022
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BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker
by
Duan, Zengchao
, Hasegawa, Mikio
, Naruse, Makoto
, Li, Aohan
, Sugiyama, Masaki
in
Adaptation
/ Algorithms
/ Bit error rate
/ Communication channels
/ Communications systems
/ Decision making
/ Deep learning
/ Error analysis
/ Error correction
/ Error correction & detection
/ Gaming machines
/ Internet of Things
/ Lasers
/ Machine learning
/ Nonorthogonal multiple access
/ Real time operation
/ Wireless communication systems
/ Wireless networks
2022
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BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker
by
Duan, Zengchao
, Hasegawa, Mikio
, Naruse, Makoto
, Li, Aohan
, Sugiyama, Masaki
in
Adaptation
/ Algorithms
/ Bit error rate
/ Communication channels
/ Communications systems
/ Decision making
/ Deep learning
/ Error analysis
/ Error correction
/ Error correction & detection
/ Gaming machines
/ Internet of Things
/ Lasers
/ Machine learning
/ Nonorthogonal multiple access
/ Real time operation
/ Wireless communication systems
/ Wireless networks
2022
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BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker
Journal Article
BER Minimization by User Pairing in Downlink NOMA Using Laser Chaos Decision-Maker
2022
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Overview
In next-generation wireless communication systems, non-orthogonal multiple access (NOMA) has been recognized as essential technology for improving the spectrum efficiency. NOMA allows multiple users transmit data using the same resource block simultaneously with proper user pairing. Most of the pairing schemes, however, require prior information, such as location information of the users, leading to difficulties in realizing prompt user pairing. To realize real-time operations without prior information in NOMA, a bandit algorithm using chaotically oscillating time series, which we refer to as the laser chaos decision-maker, was demonstrated. However, this scheme did not consider the detailed communication processes, e.g., modulation, error correction code, etc. In this study, in order to adapt the laser chaos decision-maker to real communication systems, we propose a user pairing scheme based on acknowledgment (ACK) and negative acknowledgment (NACK) information considering detailed communication channels. Furthermore, based on the insights gained by the analysis of parameter dependencies, we introduce an adaptive pairing method to minimize the bit error rate of the NOMA system under study. The numerical results show that the proposed method achieves superior performances than the traditional using pairing schemes, i.e., Conventional-NOMA pairing scheme (C-NOMA) and Unified Channel Gain Difference pairing scheme (UCGD-NOMA), and ϵ-greedy-based user pairing scheme. As the cell radius of the NOMA system gets smaller, the superior on the BER of our proposed scheme gets bigger. Specifically, our proposed scheme can decrease the BER from 10−1 to 10−5 compared to the conventional schemes when the cell radius is 400 m.
Publisher
MDPI AG
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