Resource Allocation Algorithm for NOMA-Enhanced D2D Communications with Energy Harvesting
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
In this work, we propose a channel allocation and power control algorithm for energy harvesting (EH) device-to-device (D2D) communication based on nonorthogonal multiple access (NOMA).
The algorithm considers users’ quality of service (QoS) and energy causality constraint to maximize the total capacity of D2D groups.
The optimal offline allocation of channel and power is realized firstly.
Then, the offline optimization results are taken as the training dataset to train the neural network to obtain the optimal model of the transmission power.
The online power allocation optimization algorithm is further proposed.
Simulation results show that the offline algorithm can improve the total capacity of D2D groups, and the performance of the online algorithm is close to the offline algorithm.
American Psychological Association (APA)
Su, Na& Zhu, Qi& Wang, Ying. 2020. Resource Allocation Algorithm for NOMA-Enhanced D2D Communications with Energy Harvesting. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1192368
Modern Language Association (MLA)
Su, Na…[et al.]. Resource Allocation Algorithm for NOMA-Enhanced D2D Communications with Energy Harvesting. Mobile Information Systems No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1192368
American Medical Association (AMA)
Su, Na& Zhu, Qi& Wang, Ying. Resource Allocation Algorithm for NOMA-Enhanced D2D Communications with Energy Harvesting. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1192368
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192368