Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion

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
10.1109/GlobalSIP.2014.7032167
10.1109/TCOMM.2021.3122471
10.1109/TCOMM.2021.3102635
10.1109/IEEECONF53345.2021.9723198
10.1109/TIT.2021.3065291
Citations
Title Journal Journal Categories Citations Publication Date
Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach IEEE Transactions on Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach and was published in 2024. The most recent citation comes from a 2024 study titled Activity Detection for Massive Connectivity in Cell-Free Networks With Unknown Large-Scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach. 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 Signal Processing 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