| Title |
Online Learning for Joint Energy Harvesting and Information Decoding Optimization in IoT-Enabled Smart City |
| ID_Doc |
39551 |
| Authors |
Kim, Y; Jung, BC; Song, Y |
| Title |
Online Learning for Joint Energy Harvesting and Information Decoding Optimization in IoT-Enabled Smart City |
| Year |
2023 |
| Published |
Ieee Internet Of Things Journal, 10, 12 |
| DOI |
10.1109/JIOT.2023.3241577 |
| Abstract |
In this study, we first present a framework that jointly optimizes energy harvesting and information decoding for Internet of Things (IoT) devices, which are capable of simultaneous wireless information and power reception, in a smarty city. In particular, a generalized power-splitting receiver for IoT devices is designed, where each antenna in the receiver has an independent power splitter, unlike the existing works in which only one power splitter is employed regardless of the number of antennas in the receiver. Such a receiver design can provide a great degree of freedom to improve the network performance. Based on the presented framework, for each IoT device, we formulate an optimization problem whose objective is to maximize the harvested energy of each IoT device while satisfying its data rate requirement. To solve this problem, we propose a double-deep deterministic policy gradient-based online learning algorithm which enables each IoT device to jointly determine receive beamforming and power-splitting ratio vectors in real time. Furthermore, each IoT device can implement the proposed algorithm in a distributed manner using only its local channel state information. As such, cooperation and information exchange among the base stations and IoT devices are not necessary when performing the proposed algorithm at IoT devices. The extensive simulation results show the validity of the proposed algorithm. |
| Author Keywords |
Internet of Things; Receivers; Optimization; Array signal processing; Resource management; Energy harvesting; Smart cities; Deep reinforcement learning (DRL); energy harvesting (EH); information decoding (ID); Internet of Things (IoT); smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001000701600040 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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