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We describe a “crowd measurement” project, referred to as PoQeMoN, whose main objective is to identify Quality of Service (QoS) indicators in order to predict the Quality of Experience (QoE) for HTTP YouTube content on mobile networks. Results are based on experiments on an operational network. The second contribution of this paper is to show that the proposed indicator is easy to implement in order...
With the rising popularity of smartphones and the rapid growth of mobile applications, understanding the app usage behavior of mobile users is of growing importance for both app designers and service providers. Different from previous studies mining the correlation between apps and physical world factors, e.g. location, time, etc., in this paper we focus on the interdependency among apps and try to...
For a long time, the risk of customer churn, i.e. to leave an operator, has been used as argument in favor of Quality or Experience (QoE) research. However, the understanding of how churn behavior and QoE are related is still limited. This is problematic, as customer retention and churn prediction have grown in importance in face of ever-growing competition on the telecom market. The work presented...
This paper describes the use of a space usage determination algorithm for teaching signal processing and machine learning concepts to undergraduate electrical engineering and computer science students. An Android device transmits a high-frequency signal in an unknown space. The device determines the reflective properties of this unknown space by analyzing the received signal. Based on the features...
High data quality and low sensing cost are two primary goals in large-scale mobile crowdsensing applications. The oversampling and the undersampling are common problems which always result in a high cost or low data quality that can not satisfy the system requirement. To address this problem, taking into account low-rank latent structure, we propose a compressive and adaptive data sampling scheme...
A new high efficient hierarchical pathfinding algorithm named Floyd-A∗(FA∗) is presented based on grid map of indoor environment for a mobile service robot. In FA∗, an algorithm for key points extraction and region partition is designed according to distinction of indoor environment so that the representation of abstract map about indoor environment is more effective for high speed pathfinding. In...
The purpose of this paper is to investigate the effect of the sense of presence on one aspect of learning, information recall, in a mobile immersive virtual reality (VR) disability simulation (DS). Previous research has found that the use of VR technology in education may facilitate improved learning outcomes. However, it is still an active research topic as the learning outcomes can vary widely and...
The paper presents a new wireless communication system using Chirp Spread Spectrum (CSS) transmission. The applied modulation scheme is extended with Pulse Position Modulation (PPM) to transmit data for multiple mobile terminals simultaneously. The proposed system is a Low-Power Wide-Area Network (LPWAN) providing very reliable and robust transmission, especially for terminals moving with high speeds...
In this paper, we propose a method for optimizing the game live service. Especially, we focus on improving user retention. Firstly, we define player churn in the game and extract features that contain the properties of the player churn from the game logs. And then we evaluate the importance of features using random forest in classification. Finally, we build association matrix between features and...
Diversity antennas are for improving communications and sensing systems. The concept has been around for well over half a century and overlaps with sensor array design. Diversity in communications has come to the fore because most of our radio links are now mobile, seldom having a line-of-sight but being rich in multipath where the signals from single port antennas are degraded. It was originally...
Because of the characteristics of the availability and practicability, mobile media technology had got a rapid development in the whole world. So, people now often use mobile devices through a mobile application (APP). Based on this, this study established a mobile application customer engagement model to carry on the investigation and research about mobile application of customers' recommendation...
"English Practice" is a mobile learning app that allows learners to test their English grammar usage. In this study, we observed 97,746 users and the results showed there are some factors might have certain influence on taking quiz score such as continent, country, time taking Quiz, and device screen size. First, learners who are from Europe tend to have the highest score. Asian learners...
Despite the crucial importance of metamodeling for Model-Driven Engineering (MDE), there is still little discussion about the quality of metamodel design and its consequences in model-driven development processes. Presumably, the quality of metamodel design strongly affects the models and transformations that conform to these metamodels. However, so far surprisingly few work has been done to validate...
In cellular networks user equipment (UE) need to be tracked so that they can be reached by incoming data and to keep context information such as encryption keys available for UE originated transmission. Typically UEs measure reference signal transmissions that are broadcasted by the network, and report to the network based on some criterion that allows the network to know the UE location with sufficient...
In this paper, the measurement results of field experiments for correlation reduction precoding with a repetition code in an overloaded MIMO systems are presented. Measurements are conducted in three propagation conditions that are line-of-sight (LOS), non-line-of- sight (NLOS), and a mobile environment. Numerical results obtained through the measurements show that amplitude shift and phase rotation...
In this paper, we investigate the performance of mobile vehicle positioning based on signal propagation delay estimation in the uplink case for a realistic propagation environment. In order to optimize the ranging performance, we introduce a parametric waveform. This waveform contains a scalar parameter for adjusting the distribution of the available signal power over the frequency. The optimization...
Recently, the use of unmanned aerial vehicle (UAV) is going to receive great interest in various areas. As a newly emerging area, UAV-aided communications encounter unique communication scenarios and thus need corresponding UAV channel models for better design of such UAV communication systems. In this paper, we propose a three-dimensional (3D) sphere UAV air-to-ground (A2G) multiple-input-multiple-output...
Caching at the small base station (SBS) is apromising architecture to alleviate the highly-loaded wireless video networks. SBS can cache popular video files, thus serves mobile users without going through backhaul connection to the core network and provides content- level offloading. This paper proposes a novel method for the content caching problem that optimizes cache performance. Our proposed algorithm...
Ubiquitous use of mobile device and immense expansion of social networks has reshaped news consumption. In this paper, we analyze the user access to online news using different kinds of devices, either through desktop or mobile device in terms of different days and different hours. Then, we examine the user access using Facebook referrals and finally we investigate the different types of content pages...
In this paper, we propose to leverage the emerging deep learning techniques for spatiotemporal modeling and prediction in cellular networks, based on big system data. First, we perform a preliminary analysis for a big dataset from China Mobile, and use traffic load as an example to show non-zero temporal autocorrelation and non-zero spatial correlation among neighboring Base Stations (BSs), which...
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