Reinforcement Learning Approach for SF Allocation in LoRa Network-Reference-Cited by-同舟云学术

Reinforcement Learning Approach for SF Allocation in LoRa Network

Published:2023-10-15 Issue:20 Volume:10 Page:18259-18272
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Hong Shengguang¹^ORCID,Yao Fang²,Zhang Fengyun³,Ding Yulong³^ORCID,Yang Shuang-Hua⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

2. Department of Research and Development of IoT Communication Technology, Ta-Tech Company, Nanjing, China

3. Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

4. Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Science and Technology Planning Project of Guangdong Province

Department of Education of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10269651/10133869.pdf?arnumber=10133869

Reference37 articles.