3D Poisson-Based Neighborhood Capacity Analysis for Millimeter Wave Communications.
3D analysis
Poisson point process
link capacity
millimeter waves
neighbor order
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
08 Mar 2022
08 Mar 2022
Historique:
received:
11
01
2022
revised:
06
03
2022
accepted:
07
03
2022
entrez:
26
3
2022
pubmed:
27
3
2022
medline:
27
3
2022
Statut:
epublish
Résumé
This paper proposes a theoretical model for evaluating the capacity of a millimeter wave (mmWave) source destination link when the nodes are distributed according to a three-dimensional (3D) homogeneous Poisson point process. In the presented analysis, different from the existing approaches, the destination lies in an arbitrary location with respect to the source; thus, the link performance can be evaluated for a neighbor of any order. Moreover, the developed model relies on a realistic propagation environment, characterized by path loss attenuation and shadowing in line of sight (LoS), non-LoS, and outage link state conditions. The derived formulas, which are calculated in closed-form and validated by independent Monte Carlo simulations, are used to investigate the influence of the intensity parameter, of the antenna gain, and of the mmWave frequency band on the link capacity for any possible neighbor in a practical 3D scenario.
Identifiants
pubmed: 35336267
pii: s22062098
doi: 10.3390/s22062098
pmc: PMC8949683
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : University of Trieste
ID : Interference modeling in ultra-dense 5G/6G networks
Références
Sensors (Basel). 2017 Sep 11;17(9):
pubmed: 28891997
Sensors (Basel). 2018 Nov 30;18(12):
pubmed: 30513658
Entropy (Basel). 2018 Jan 28;20(2):
pubmed: 33265179
Sensors (Basel). 2021 Oct 23;21(21):
pubmed: 34770327