Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework

Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework

In this paper, we present Machine Learning (ML) solutions to address the reliability challenges likely to be encountered in advanced wireless systems (5G, 6G, and indeed beyond). Specifically, we introduce a novel loss function to minimize the outage probability of an ML-based resource allocation sy...

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Bibliographic Details
Main Authors: Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Blockage prediction
custom loss function
greedy resource allocation
machine learning
novel loss function
optimization
Online Access:https://ieeexplore.ieee.org/document/10443669/
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