Energy Efficiency Maximization for IRS-Aided WPCNs

Article Properties
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2021
Title 2021
10.1109/WCNC45663.2020.9120857
10.1109/LWC.2020.2974721
10.1109/JIOT.2020.3045703
Citations
Title Journal Journal Categories Citations Publication Date
Multiobjective Optimization of Wireless Powered Communication Networks Assisted by Intelligent Reflecting Surface Based on Multiagent Reinforcement Learning IEEE Transactions on Antennas and Propagation
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Multiobjective Optimization of Wireless Powered Communication Networks Assisted by Intelligent Reflecting Surface Based on Multiagent Reinforcement Learning and was published in 2024. The most recent citation comes from a 2024 study titled Multiobjective Optimization of Wireless Powered Communication Networks Assisted by Intelligent Reflecting Surface Based on Multiagent Reinforcement Learning. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the IEEE Transactions on Antennas and Propagation cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year