Analytic alpha-stable noise modeling in a Poisson field ofinterferers or scatterers
IEEE Transactions on Signal Processing
Transmission capacity of wireless ad hoc networks with outage constraints
IEEE Transactions on Information Theory
An Aloha protocol for multihop mobile wireless networks
IEEE Transactions on Information Theory
Transmission Capacity of Wireless Ad Hoc Networks With Successive Interference Cancellation
IEEE Transactions on Information Theory
Ad Hoc Networks: To Spread or Not to Spread? [Ad Hoc and Sensor Networks]
IEEE Communications Magazine
Stochastic geometry and random graphs for the analysis and design of wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
On unbounded path-loss models: effects of singularity on wireless network performance
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Capacity scaling of wireless networks with inhomogeneous node density: upper bounds
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Outage, local throughput, and capacity of random wireless networks
IEEE Transactions on Wireless Communications
Interference in Large Wireless Networks
Foundations and Trends® in Networking
Stochastic Geometry and Wireless Networks: Volume I Theory
Foundations and Trends® in Networking
Random access transport capacity
IEEE Transactions on Wireless Communications
Statistical characterization of transmitter locations based on signal strength measurements
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
A primer on spatial modeling and analysis in wireless networks
IEEE Communications Magazine
IEEE Transactions on Signal Processing
An overview of the transmission capacity of wireless networks
IEEE Transactions on Communications
Outage probability of general ad hoc networks in the high-reliability regime
IEEE/ACM Transactions on Networking (TON)
Graph approximations of spatial wireless network models
Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Structure of service areas in wireless communication networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
Extending graph-based models of wireless network structure with dynamics
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Distance Distribution in Convex n-Gons: Mathematical Framework and Wireless Networking Applications
Wireless Personal Communications: An International Journal
Hi-index | 754.84 |
In the analysis of large random wireless networks, the underlying node distribution is almost ubiquitously assumed to be the homogeneous Poisson point process. In this paper, the node locations are assumed to form a Poisson cluster process on the plane. We derive the distributional properties of the interference and provide upper and lower bounds for its distribution. We consider the probability of successful transmission in an interference-limited channel when fading is modeled as Rayleigh. We provide a numerically integrable expression for the outage probability and closed-form upper and lower bounds. We show that when the transmitter-receiver distance is large, the success probability is greater than that of a Poisson arrangement. These results characterize the performance of the system under geographical or MAC-induced clustering. We obtain the maximum intensity of transmitting nodes for a given outage constraint, i.e., the transmission capacity (of this spatial arrangement) and show that it is equal to that of a Poisson arrangement of nodes. For the analysis, techniques from stochastic geometry are used, in particular the probability generating functional of Poisson cluster processes, the Palm characterization of Poisson cluster processes, and the Campbell-Mecke theorem.