Performance Study for Random Access-Based Wireless Mutual Broadcast Networks With Ginibre Point Processes

While the random access based wireless mutual broadcast (RA-WMB) is expected to be key to various applications including proximal data dissemination and neighbor discovery, such RA-WMB applications may have a wide range of node distributions. Therefore, this letter investigates the impact of spatial...

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Bibliographic Details
Published in:IEEE communications letters 2020-07, Vol.24 (7), p.1581-1585
Main Authors: Kwon, Taesoo, Ju, Hyungsik, Lee, HyeonWoo
Format: Article
Language:English
Subjects:
Cellular networks
Electronic mail
Ginibre point process
Interference
Mutual broadcast
neighbor discovery
Nodes
Probability density function
Random access
Random variables
stochastic geometry
Transmitters
Wireless communication
Wireless networks
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Summary:While the random access based wireless mutual broadcast (RA-WMB) is expected to be key to various applications including proximal data dissemination and neighbor discovery, such RA-WMB applications may have a wide range of node distributions. Therefore, this letter investigates the impact of spatial node distributions on the RA-WMB performance and design, through modeling node distributions as the \beta -Ginibre point process (GPP) that expresses the node repulsion via 0 < \beta \leq 1 . The results demonstrate that the \beta -GPP node repulsion may degrade the RA-WMB performance and it rarely affects the RA-WMB operation design for improving the performance.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2020.2987913