Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Re...
Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Wireless networking using GHz or THz spectra has encouraged mobile service providers to deploy small cells to improve link quality and cell capacity using mmWave backhaul links. As green networking for less CO2 emission is mandatory to confront global climate change, we need energy efficient network management for such denser small-cell heterogeneo...
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Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_b55d6e7e14174b03a6d9a62217852e17
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b55d6e7e14174b03a6d9a62217852e17
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21237925
