A Machine Learning Based Scheme for Dynamic Spectrum Access

2021 IEEE Wireless Communications and Networking Conference (WCNC)（2021）

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摘要

In this paper, we present a machine learning (ML) based dynamic spectrum access (DSA) scheme which can be used in a system in which the primary user (PU) spectrum occupancy can be represented as a sequence of busy (on) and idle (off) periods. We use real world data collected from Long Term Evolution (LTE) systems at two locations for our study. We experiment with different feed forward artificial ...

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关键词

Analytical models,Conferences,Dynamic spectrum access,Artificial neural networks,Machine learning,Interference,Feeds

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