Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Inducing multiscale clustering using multistage MAC contention in CDMA ad hoc networks
IEEE/ACM Transactions on Networking (TON)
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
Stochastic analysis of spatial and opportunistic aloha
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Spatial and temporal correlation of the interference in ALOHA ad hoc networks
IEEE Communications Letters
Outage, local throughput, and capacity of random wireless networks
IEEE Transactions on Wireless Communications
A new outer bound and the noisy-interference sum-rate capacity for Gaussian interference channels
IEEE Transactions on Information Theory
Interference and outage in clustered wireless ad hoc networks
IEEE Transactions on Information Theory
A delay-minimizing routing strategy for wireless multi-hop networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Analytic alpha-stable noise modeling in a Poisson field ofinterferers or scatterers
IEEE Transactions on Signal Processing
The Guard Zone in Wireless Ad hoc Networks
IEEE Transactions on Wireless Communications
Fractional power control for decentralized wireless networks
IEEE Transactions on Wireless Communications - Part 2
The capacity of wireless networks
IEEE Transactions on Information Theory
On distances in uniformly random networks
IEEE Transactions on Information Theory
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
IEEE Transactions on Information Theory
The Effect of Fading, Channel Inversion, and Threshold Scheduling on Ad Hoc Networks
IEEE Transactions on Information Theory
A Geometric Interpretation of Fading in Wireless Networks: Theory and Applications
IEEE Transactions on Information Theory
Ad Hoc Networks: To Spread or Not to Spread? [Ad Hoc and Sensor Networks]
IEEE Communications Magazine
A primer on spatial modeling and analysis in wireless networks
IEEE Communications Magazine
IEEE Transactions on Signal Processing
Efficiency of Wireless Networks: Approximation Algorithms for the Physical Interference Model
Foundations and Trends® in Networking
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)
Extremal versus additive Matérn point processes
Queueing Systems: Theory and Applications
Connectivity in obstructed wireless networks: from geometry to percolation
Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing
An Analytical Model for Evaluating Outage and Handover Probability of Cellular Wireless Networks
Wireless Personal Communications: An International Journal
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Since interference is the main performance-limiting factor in most wireless networks, it is crucial to characterize the interference statistics. The two main determinants of the interference are the network geometry (spatial distribution of concurrently transmitting nodes) and the path loss law (signal attenuation with distance). For certain classes of node distributions, most notably Poisson point processes, and attenuation laws, closed-form results are available, for both the interference itself as well as the signal-to-interference ratios, which determine the network performance. This monograph presents an overview of these results and gives an introduction to the analytical techniques used in their derivation. The node distribution models range from lattices to homogeneous and clustered Poisson models to general motion-invariant ones. The analysis of the more general models requires the use of Palm theory, in particular conditional probability generating functionals, which are briefly introduced in the appendix.