Journal article
Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach
Abstract
Device-to-device (D2D) communication is regarded as a promising technology to support spectral-efficient Internet of Things (IoT) in beyond fifth-generation (5G) and sixth-generation (6G) networks. This article investigates the spectrum access problem for D2D-assisted cellular networks based on deep reinforcement learning (DRL), which can be applied to both the uplink and downlink scenarios. Specifically, we consider a time-slotted cellular …
Authors
Huang J; Yang Y; Gao Z; He D; Ng DWK
Journal
IEEE Internet of Things Journal, Vol. 9, No. 18, pp. 17793–17807
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 15, 2022
DOI
10.1109/jiot.2022.3160197
ISSN
2327-4662