Joint Adaptive Modulation Coding and Power Optimization in Heterogeneous Networks based on Constrained Deep Reinforcement Learning

In cognitive heterogeneous networks, multiple secondary transmitters (STs) co-exist with primary users (PUs) on the same frequency band channel through spectrum sensing. Due to inaccurate sensing of whether the channel is occupied, STs can cause interference to PUs, thereby affecting the transmissio...

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Veröffentlicht in:	IEEE transactions on wireless communications S. 1
Hauptverfasser:	Wang, Tao, Gu, Xin, Chen, Haipeng, Chang, Cheng, Tang, Tiantian, Huang, Hao, Jiao, Donglai, Lin, Yun, Gui, Guan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Adaptive Modulation Coding Constrained Optimization Data communication Deep Reinforcement Learning Heterogeneous Networks Heuristic algorithms Interference Modulation coding Optimization Rayleigh channels Resource Optimization Sensors Telecommunications Wireless communication Wireless sensor networks
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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