TY - JOUR
T1 - Adaptive statistical learning of cellular users behavior
AU - Broyde, Yehonatan
AU - Livschitz, Michael
AU - Messer, Hagit
PY - 2013
Y1 - 2013
N2 - The wide-spread usage of cellular communication in recent years provides opportunities for studying social and environmental phenomena on a global level, using measurements collected anyway by the cellular network. In this paper we demonstrate how certain aspects of social behavior can be studied using statistical analysis of cellular transmission path loss data. We suggest several applications and, in particular, we present a method for dynamically estimating the percentage of indoor vs. outdoor usage in cellular sectors, by applying an innovative mixed Gaussian model for the accumulated path loss measurements. The method is tested with real data collected by a commercial cellular network from a large number of sectors. In addition to the indoor vs. outdoor usage, we demonstrate how path loss data can be used for real-time estimation of the coverage area of cellular sectors, which provides valuable information for cellular network planning, optimization and operation.
AB - The wide-spread usage of cellular communication in recent years provides opportunities for studying social and environmental phenomena on a global level, using measurements collected anyway by the cellular network. In this paper we demonstrate how certain aspects of social behavior can be studied using statistical analysis of cellular transmission path loss data. We suggest several applications and, in particular, we present a method for dynamically estimating the percentage of indoor vs. outdoor usage in cellular sectors, by applying an innovative mixed Gaussian model for the accumulated path loss measurements. The method is tested with real data collected by a commercial cellular network from a large number of sectors. In addition to the indoor vs. outdoor usage, we demonstrate how path loss data can be used for real-time estimation of the coverage area of cellular sectors, which provides valuable information for cellular network planning, optimization and operation.
KW - Cellular communication
KW - Gaussian mixture
KW - Indoor/outdoor
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=84879244987&partnerID=8YFLogxK
U2 - 10.1016/j.sigpro.2013.05.005
DO - 10.1016/j.sigpro.2013.05.005
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AN - SCOPUS:84879244987
SN - 0165-1684
VL - 93
SP - 3151
EP - 3158
JO - Signal Processing
JF - Signal Processing
IS - 11
ER -