• Media type: E-Article
  • Title: Optimization of Cell-Free Massive MIMO System
  • Contributor: Sharma, Manmohan; Verma, Sunny; Verma, Shekhar
  • imprint: IOP Publishing, 2022
  • Published in: Journal of Physics: Conference Series, 2327 (2022) 1, Seite 012056
  • Language: Not determined
  • DOI: 10.1088/1742-6596/2327/1/012056
  • ISSN: 1742-6588; 1742-6596
  • Keywords: General Physics and Astronomy
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:p>As an innovative implementation, Cell-Free Massive Multiple Input Multiple Output (MIMO) has appeared in typical Cellular Massive MIMO Networks. This protocol doesn’t recognize cells, as shown by its name, even though a significant number of APs operate on the same frequency/time resources. Connection from multiple distributed access points through joint signal processing is called Cell-Free Massive MIMO. The Cell-Free Massive MIMO System, a contrast between Cell-Free Massive MIMO Systems and Distributed Massive MIMO, the prime focus in this thesis is on Cell-free Massive MIMO and, along with this discussion, on Cell-free Massive MIMO signal processing, Channel Estimation, Uplink Signal Detection, Cumulative Distribution, Spectral Efficiency &amp; Ubiquitous Cell-Free Massive MIMO Model. Ubiquitous Cell-free Massive MIMO contributes to a Massive MIMO system, a distributed system that implements consistent user-centre distribution to solve that constraint of mobile phone interferences as well as to introduce macro-diversity. We investigated the Cell Radius at different locations in CDF with Spectral Efficiency [bits/s/hertz]. Cell-Free Massive MIMO is an evidence-based preventive of massive MIMOs with distributed high percentage APs that serve even lower margins. The cell-free model is not segregated into cells and any individual is concurrently represented by every Access point.</jats:p>
  • Access State: Open Access