Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink With Two Users

With the continuous development of the communication industry, there is a shift in real-time services from 4G networks to Delay Tolerable (DT) services in the context of 5G/B5G networks. Additionally, energy consumption control poses significant challenges in the current communication industry. Ther...

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Vydané v:	IEEE access Ročník 11; s. 113227 - 113243
Hlavní autori:	Bai, Mengmeng, Zhu, Rui, Guo, Jianxin, Wang, Feng, Wang, Liping, Zhu, Hangjie, Huang, Lei, Zhang, Yushuai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	5G mobile communication Algorithms approximate statistical dynamic programming algorithm Approximation algorithms Base stations Communication Communications systems Context Convex analysis Convexity Decision analysis deep deterministic policy gradient Deep learning delay tolerable Delays Downlink Downlinking Dynamic programming Energy consumption Energy efficiency Heuristic algorithms NOMA Nonorthogonal multiple access Optimization proximal policy optimization Real time Resource management Statistical analysis
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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