Machine Learning Approaches for Sharing Unlicensed Millimeter-Wave Bands in Heterogeneously Integrated Sensing and Communication Networks
Chunju Tang,
Yanping Liu
Abstract:Due to the increasing demand of high data rate, spectrum scarcity is a key problem for providing unprecedented capacity in diversified applications for future wireless networks. Therefore, the efficiently shared use of unlicensed bands is one of the promising solutions for addressing the spectrum scarcity issue. We study decentralized machine learning approaches using the paradigm of integrated sensing and communication (ISAC) for the shared use of unlicensed millimeter-wave bands. We first present a 5G–WiFi f… Show more
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