A Geometry-Inclusive Fading Model for Random Wireless Networks

A new fading model is proposed and discussed that combines the uncertainties in the transmission distance as well as small-scale fading. If nodes are assumed to be distributed according to a Poisson point process and the fading is Rayleigh, the joint fading distribution is particularly simple. Interpreting fading as a stochastic mapping, we show that a node cannot infer on the presence of fading by measuring link qualities. Other applications of the fading model include connectivity, opportunistic communication, and probabilistic progress

[1]  Patrick Thiran,et al.  Connectivity vs capacity in dense ad hoc networks , 2004, IEEE INFOCOM 2004.

[2]  Eitan Altman,et al.  Coverage and connectivity of ad hoc networks presence of channel randomness , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[3]  Martin Haenggi,et al.  On distances in uniformly random networks , 2005, IEEE Transactions on Information Theory.