Performance Analysis of Long Short-Term Memory-Based Markovian Spectrum Prediction

Performance Analysis of Long Short-Term Memory-Based Markovian Spectrum Prediction

Dynamic Spectrum Access (DSA) solutions equipped with spectrum prediction can enable proactive spectrum management and tackle the increasing demand for radio frequency (RF) bandwidth. Among various prediction techniques, Long Short-Term Memory (LSTM) is a deep learning model that has demonstrated hi...

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Bibliographic Details
Main Authors: Niranjana Radhakrishnan, Sithamparanathan Kandeepan, Xinghuo Yu, Gianmarco Baldini
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Spectrum prediction
long short-term memory
probability of error
performance modeling
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/b521fd391a034bc0be1802b8b0cfa1c3
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https://doaj.org/article/b521fd391a034bc0be1802b8b0cfa1c3

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