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A Cognitive Relay Network Throughput Optimization Algorithm Based on Deep Reinforcement Learning
Joint Authors
Liu, Shaojiang
Hu, Kejing
Ni, Weichuan
Xu, Zhiming
Wang, Feng
Wan, Zhiping
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In cognitive relay networks, the cognitive user opportunistically accesses the authorized spectrum segment of the primary user and simultaneously serves as the data relay node of the primary user while sharing the spectrum resource of the primary user.
This not only improves the utilization efficiency of the network spectrum resources but also improves the throughput of the primary users.
However, if the primary user randomly selects the relay node, there is no guarantee for an optimal throughput.
Moreover, the system power consumption may increase.
In order to improve the throughput of cognitive relay network and optimize system utility, this paper proposes a cognitive relay network throughput optimization algorithm based on deep reinforcement learning.
For the system model of cognitive relay networks, the Markov decision process is used to describe the channel transition probability of the system model in the paper.
The algorithm proposes a cooperative wireless network cooperative relay strategy, analyzes the system outage probability under different transmission modes, and optimizes the system throughput by minimizing the outage probability.
Then, the maximum utility optimization strategy based on deep reinforcement learning is proposed to maximize the system utility revenue by selecting the optimal behavior.
The experimental results show that the proposed algorithm has a good effect in improving system throughput and optimizing system energy efficiency.
American Psychological Association (APA)
Liu, Shaojiang& Hu, Kejing& Ni, Weichuan& Xu, Zhiming& Wang, Feng& Wan, Zhiping. 2019. A Cognitive Relay Network Throughput Optimization Algorithm Based on Deep Reinforcement Learning. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212057
Modern Language Association (MLA)
Liu, Shaojiang…[et al.]. A Cognitive Relay Network Throughput Optimization Algorithm Based on Deep Reinforcement Learning. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1212057
American Medical Association (AMA)
Liu, Shaojiang& Hu, Kejing& Ni, Weichuan& Xu, Zhiming& Wang, Feng& Wan, Zhiping. A Cognitive Relay Network Throughput Optimization Algorithm Based on Deep Reinforcement Learning. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212057
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212057