Title :
Stochastic spatial models in large wireless networks
Author :
Babaei, Alireza ; Jabbari, Bijan
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
Abstract :
A realistic model for the geometry of a mobile wireless network, i.e. the spatial configuration of its nodes, must take into account the randomness involved in nodes´ locations which is the consequence of the unpredictanle movement of nodes. Stochastic geometry and point processes are rich mathematical disciplines which can be used to model such random wireless networks. In this paper, we discuss various types of point processes which can be applied to model the geometry of large wireless networks. Futher applications in interference modeling in random wireless networks and also dynamic spectrum access will be discussed.
Keywords :
mobile radio; radio networks; radiofrequency interference; stochastic processes; dynamic spectrum access; interference modeling; large wireless networks; mobile wireless network geometry; random wireless networks; stochastic geometry; stochastic point process; stochastic spatial models; Geometry; Interference; Mathematical model; Noise; Stochastic processes; Wireless networks; interference; point processes; random wireless networks; shot noise process; stochastic geometry;
Conference_Titel :
ICT Convergence (ICTC), 2012 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4829-4
Electronic_ISBN :
978-1-4673-4827-0
DOI :
10.1109/ICTC.2012.6387136
