- Published 2014 in IEEE Transactions on Mobile Computing

In mobile networks, distance variations caused by node mobility generate fluctuations in the channel gains. Such fluctuations can be treated as another type of fading besides multipath effects. In this paper, the interference statistics in mobile random networks are characterized by incorporating the distance variations of mobile nodes to the channel gain fluctuations. The mean interference is calculated at the origin and at the border of a finite mobile network. The network performance is evaluated in terms of the outage probability. Compared to a static network, the interference in a single snapshot does not change under uniform mobility models. However, random waypoint mobility increases (decreases) the interference at the origin (at the border). Furthermore, due to the correlation of the node locations, the interference and outage are temporally and spatially correlated. We quantify the temporal correlation of the interference and outage in mobile Poisson networks in terms of the correlation coefficient and conditional outage probability, respectively. The results show that it is essential that routing, MAC, and retransmission schemes need to be smart (i.e., correlation-aware) to avoid bursts of transmission failures.

Citations per Year

Semantic Scholar estimates that this publication has **83** citations based on the available data.

See our **FAQ** for additional information.

@article{Gong2014InterferenceAO,
title={Interference and Outage in Mobile Random Networks: Expectation, Distribution, and Correlation},
author={Zhenhua Gong and Martin Haenggi},
journal={IEEE Transactions on Mobile Computing},
year={2014},
volume={13},
pages={337-349}
}