In today's world, mobile phone penetration has reached a saturation point. As a result, subscriber churn has become an important issue for mobile operators as subscribers switch operators for a variety of reasons. Mobile operators typically employ churn prediction algorithms based on service usage metrics, network performance indicators, and traditional demographic information. A newly emerging technique is the use of social network analysis (SNA) to identify potential churners. Intuitively, a subscriber who is churning will have an impact on the churn propensity of his social circle. Call detail records are useful to understand the social connectivity of subscribers through call graphs but do not directly provide the strength of their relationship or have enough information to determine the diffusion of churn influence. In this paper, we present a way to address these challenges by developing a new churn prediction algorithm based on a social network analysis of the call graph. We provide a formulation that quantifies the strength of social ties between users based on multiple attributes and then apply an influence diffusion model over the call graph to determine the net accumulated influence from churners. We combine this influence and other social factors with more traditional metrics and apply machine‐learning methods to compute the propensity to churn for individual users. We evaluate the performance of our algorithm over a real data set and quantify the benefit of using SNA in churn prediction. © 2013 Alcatel‐Lucent.
Geofencing services deliver location-relevant information to mobile subscribers, who enter a geographic "fence" or boundary around the information's demarcation area. With Geographic Positioning System (GPS) capabilities on many phones, such services facilitate a variety of mass-market applications ranging from mobile proximity marketing to proximity-based dating. Applications delivering such services operate on top of a geofencing engine that manages location tracking of subscribers and returns triggers when fence-crossing events occur. We discuss the critical aspects of geofencing and the challenges faced when deploying such services to the mass market. We present an economically viable geofencing solution that scales to large populations and supports a high number of fences per subscriber. Through distributed processing supported by an appropriate client-server protocol, this solution optimizes the air interface usage and mobile battery power. The technical viability of our solution is supported by actual traffic data from mobile proximity marketing and a social networking service. © 2011 Alcatel-Lucent.The importance of location to mobile communications was anticipated long before the application store was conceived. In 1996, the U.S. Federal Communications Commission (FCC) crafted rules for the Emergency 911 service that require mobile network operators (MNOs) in the United States to provide geographic location information for emergency calls initiated from mobile handsets [2]. Standard bodies including the 3rd Generation Partnership Project (3GPP), 3GPP2, and the Open Mobile Alliance (OMA) then created supporting standardization for location technologies [5]. Presently, a variety of location technologies are supported. One method provides a rough IntroductionIn the last few years, the mobile industry has seen tremendous growth. Today's mobile subscribers can select from a wide range of methods to communicate through their handset. Besides traditional voice and a wide range of messaging services (short, instant, and multimedia messaging), they can engage in mobile e-mail and Web-browsing sessions. With the advent of smartphones, data plans, and application stores, a diversification has occurred in the mobile application space, which merges traditional means of communication with elements of mobility and location to create new methods of information distribution, interaction, and entertainment. location estimate based on the cell area where the handset resides. Another approach applies cell tower trilateration using round-trip delay measurements between the handset and the closest set of cell towers, resulting in higher spatial accuracy. Since the majority of handsets are equipped with Geographic Positioning System (GPS) chips, even greater accuracy is available through trilateration with satellites [4]. While GPS on many phones relies on additional information from the cellular network, referred to as assisted GPS (A-GPS), the most recent generation of smartphones supports autonomous GPS that can operate wit...
Bell Lobs, Lucenf Technologiu. 600 Mountain Ave, Murray Hili, NJO7974 { " m o r , chitru, poosa?a]@e.search. bell-labs.comAbstrack We introduce a novel scheme that flexibly distributes the differential delays in virtual concatenation (VCAT) paths in SUNET/SD€I networks. We show that this increases the utilization of the network in carrying dynamic traffic and reduces the total buffer requirements.
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