Abstract
Motivated by applications to the performance analysis of wireless communication systems, we develop a constructive procedure to generate random spatial point patterns that are natural generalizations of the Poisson process. The special case of models that are multi-dimensional generalizations of the Markovian Arrival Processes (MAP) of Neuts are discussed in some detail with examples. Like their counterparts on the nonnegative half line, these spatial MAPs offer the versatility to model a wide variety of spatial dependencies and burstiness characteristics while maintaining computational tractability.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
