Paper Info
Title
Correction to “Mobile Crowd-Sensing Wireless Activity with Measured Interference Power”
Abstract
In a recent letter, Guo et al. developed a novel method for inferring the wireless activity of other users by measuring the passive aggregate interference power received on a mobile device. The key objective of their study is to develop a non-intrusive method for activity sensing which does not rely on measurements from a live network. The proposed mobile crowd sensing mechanism relies on the analytical computation of the median of the aggregate interference, in order to estimate the activity levels in an OFDMA based communication system. A closed form expression for the median is obtained from the computation of the cumulative distribution function (CDF) for the aggregate co-channel interference. In this letter, we highlight that the expressions for the probability density function (PDF) and CDF of the aggregate interference obtained by inversion of the moment generating function (MGF) in [1] (Eqs. (5) & (6)) are only valid for = 4 and they do not hold in general. Moreover, it is observed that authors employ the median of the aggregate interference, as the expectation of the interference power does not converge. In this letter, we show that this issue can be circumvented by using a non-singular path-loss model.
Year
DOI
Venue
2015
10.1109/LWC.2015.2416179
Wireless Communications Letters, IEEE  
Keywords
DocType
Volume
poisson process,interference,mobile crowd sourcing,wireless activity,mobile communication,computational modeling,wireless communication
Journal
PP
Issue
ISSN
Citations 
99
2162-2337
1
PageRank 
References 
Authors
0.35
9
3
Name
Order
Citations
PageRank
Syed Ali Raza Zaidi1454.77
Desmond C. McLernon216115.18
Mounir Ghogho31072113.80