Cross Layer Power Allocation by Graph Neural Networks in Heterogeneous D2D Video Communications

The massive connectivity trend was set to shape B5G/6G networks. Device-to-device (D2D) communications play a crucial role in massive connectivity in the context of Internet of Things (IoT) applications. Recently, a heterogeneous interference graph neural network (HIGNN) was proposed for resource al...

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Bibliografische Detailangaben

Hauptverfasser:	Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Internet of Things cross layer design resource management distributed learning rate distortion function generalization ability
Online-Zugang:	https://ieeexplore.ieee.org/document/10915671/
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