Co-Channel Interference Management for Heterogeneous Networks Using Deep Learning Approach
Co-Channel Interference Management for Heterogeneous Networks Using Deep Learning Approach
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The co-channel interference for mobile users (MUs) of a public safety network (PSN) in the co-existence of heterogeneous networks such as unmanned aerial vehicles (UAVs) and LTE-based railway networks (LRNs) needs a thorough investigation, where UAVs are deployed as mobile base stations (BSs) for cell-edge coverage enhancement. Moreover, the LRN is...
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Full title
Co-Channel Interference Management for Heterogeneous Networks Using Deep Learning Approach
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TN_cdi_doaj_primary_oai_doaj_org_article_2d50d6304db94706bfed79dadde954cc
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2d50d6304db94706bfed79dadde954cc
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ISSN
2078-2489
E-ISSN
2078-2489
DOI
10.3390/info14020139
