The directional RTS/CTS mechanism of mm-wave Wi-Fi hardly resolves the hidden terminal problem perfectly. This paper proposes cross-link RTS/CTS under multi-link operation (MLO) to address this problem and introduces a novel point process, named the generalized RTS/CTS hard-core process (G-HCP), to model the spatial transceiver relationships under the RTS/CTS mechanism, including the directional case and the omnidirectional case. Analytical expressions are derived for the intensity, the mean interference, an approximation of the success probability, and the expected number of hidden nodes for the directional RTS/CTS mechanism. Theoretical and numerical results demonstrate the performance difference between two RTS/CTS mechanisms. The cross-link RTS/CTS mechanism ensures higher link quality at the cost of reduced network throughput. In contrast, the directional RTS/CTS sacrifices the link quality for higher throughput. Our study reveals a fundamental trade-off between link reliability and network throughput, providing critical insights into the selection and optimization of RTS/CTS mechanisms in next-generation WLAN standards.

This paper presents a novel analysis of the directional RTS/CTS handshake mechanism using stochastic geometry, treating its impact as a thinning process in a spatial point process. We introduce unique thinning procedures based on the cosine antenna pattern, offering a more accurate representation of directional transmission in millimeter-wave networks. Through these models, we derive expressions for the intensity of concurrent transmitter processes and the mean interference. Our analysis provides key insights into how mean interference varies with system parameters such as antenna configuration and protection distance. Specifically, numerical results demonstrate that increasing the number of transmit antennas reduces interference, though diminishing returns are observed as the number of antennas grows.

This paper investigates the dynamics of spatio-temporal interference correlations in wireless networks, focusing on the interplay between node spatial distribution and interference patterns. The study employs analytical frameworks such as the Matérn hard-core point process (MHCP) and clustering models, revealing that spatial clustering typically enhances positive interference correlation, while spatial rejection mechanisms inherent to MHCP induce negative correlation. Notably, the analysis extends to various temporal traffic models, highlighting distinct interference correlation behaviors between temporally correlated and independent traffic scenarios. The novel contribution of this work lies in deriving advanced mathematical formulations to quantify the interference correlation coefficient, which uncover the non-monotonic relationship between correlation and network parameters like node density and burst traffic duration. These insights provide a deeper understanding of interference dynamics, offering valuable guidelines for optimizing network performance and reliability, particularly in the design of next-generation wireless systems.

This paper introduces a new stochastic geometry-based model to analyze the Request-to-Send/Clear-to-Send (RTS/CTS) handshake mechanism in wireless local area networks (WLANs). We develop an advanced hard-core point process model, termed the dual-zone hard-core process (DZHCP), which extends traditional hard-core models to capture the spatial interactions and exclusion effects introduced by the RTS/CTS mechanism. This model integrates key parameters accounting for the thinning effects imposed by RTS/CTS, enabling a refined characterization of active transmitters in the network. Analytical expressions are derived for the intensity of the DZHCP, the mean interference, and an approximation of the success probability, providing insight into how network performance depends on critical design parameters. Our results demonstrate that the Type II RTS/CTS mechanism significantly reduces mean interference by introducing additional protection regions, effectively mitigating the impact of nearby interferers. Compared to CSMA-based schemes, it achieves a lower mean interference level while maintaining a comparable or higher active node density.

This paper investigates the spatio-temporal interference correlation in wireless networks, emphasizing the impact of spatial node rejection modeled by two types of Matern Hard-Core Point Processes (MHCP). We explore how the spatial rejection inherent to MHCP types I and II shapes interference patterns, with a particular focus on the negative correlation effects on network performance. Our study further examine the temporally correlated traffic model, which reveals significant insights into how temporal correlation affects interference. By deriving expressions for the interference correlation coefficient, we illustrate the critical role of path loss and spatial rejection parameters. The work contributes to a refined understanding of interference dynamics in networks modeled by MHCP and guides the strategic development of efficient wireless systems in the presence of correlated traffic.