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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Bibliographic Details
Main Authors: Shu-Ming Tseng, Sz-Tze Wen, Chao Fang, Mehdi Norouzi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10915671/
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