Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks
In this paper, a resource allocation (RA) scheme based on deep reinforcement learning (DRL) is designed for device-to-device (D2D) communications underlay cellular networks. The goal of RA is to determine the transmission power and spectrum channel of D2D links to maximize the sum of the average eff...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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MDPI AG
2022-12-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/22/23/9459 |