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 node distributions on the RA-WMB performance and design, through modeling node distributions as the β-Ginibre point process (GPP) that expresses the node repulsion via 0 < β ≤ 1. The results demonstrate that the β-GPP node repulsion may degrade the RA-WMB performance and it rarely affects the RA-WMB operation design for improving the performance.