A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks

A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks

Cell outage compensation enables a network to react to a catastrophic cell failure quickly and serve users in the outage zone uninterruptedly. Utilizing the promising benefits of non-orthogonal multiple access (NOMA) for improving the throughput of cell edge users, we propose a newly NOMA-based cell...

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Bibliographic Details
Main Authors: Elaheh Vaezpour, Layla Majzoobi, Mohammad Akbari, Saeedeh Parsaeefard, Halim Yanikomeroglu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Cell outage compensation
deep neural network (DNN)
nonorthogonal multiple access (NOMA)
self-healing
Online Access:https://ieeexplore.ieee.org/document/9749853/

Internet

https://ieeexplore.ieee.org/document/9749853/

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