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Mobile Broadband (MBB) access networks are becoming more and more used worldwide, and the devices adopted to access them are increasing in number and complexity (smartphones, mobile hotspots, vehicular infotainment systems). The highly dynamic nature of such scenarios calls for continuous monitoring and measurement of the network, and possibly cross-layer management of network applications. A recent...
In this paper, the authors present a Two-Step approach that sequentially adjusts generation and distribution values of the (dynamic) OD matrix. While the proposed methodology already provided excellent results for updating demand flows on a motorway, the aim of this paper is to validate this conclusion on a real network: Luxembourg City. This network represents the typical middle-sized European city...
In this paper, we investigate the prediction of mobile MIMO channels with varying multipath parameters. Based on the PAST algorithm, we propose a multidimensional adaptive ESPRIT approach for jointly tracking the evolution of the Doppler frequencies and spatial directions of arrival and departure of the propagation paths. Future states of the channel are predicted using the last estimate of the propagation...
Device localization is a highly important functionality for a range of applications. It is particularly beneficial in mmWave networks, where it can be used to reduce the beam training overhead and anticipate handovers between access points. In this paper, we present JADE, an algorithm that estimates the location of a mobile user in an indoor space without any knowledge about the surrounding environment...
With the rapid growth of smart devices, mobile crowdsensing is becoming an important paradigm to acquire information from physical environments. Considering that the sensing data collected by mobile users are normally noisy and imprecise, one of the pressing problems in mobile crowdsensing is to evaluate the data quality in real time and to steer users to acquire data with high quality. However, it...
Mobile devices are increasingly presented with multiple connectivity options, including WiFi hotspots, micro-/macro-cells or even other devices in device-to-device (D2D) communications. By and large, connectivity management for mobile devices has primarily focused on contention, congestion and wireless medium conditions. In this paper, we assess the role of information-centrism in mobile device connectivity...
The management of radio congestion in the control channel is one of the active research areas in Vehicular Ad-hoc Networks (VANETs). Many congestion control protocols have already been proposed to ensure an optimal management of the radio control channel. LIMERIC is a well-known congestion control protocol which was adopted by the current ETSI standardization process to be applied in the future deployment...
In the mobile industrial human machine interaction (HMI) based on wireless sensor networks, the engineer has to manually select the target machine from a long list which may lead to wrong connection and waste of time. We observe that the engineer should face to the machine during the interaction to ensure that the machine works accurately, and this characteristic makes the proximity estimation algorithm...
The Network Functions Virtualization (NFV) paradigm is undoubtedly a key technological advancement in the Information and Communication Technology (ICT) community, especially for the upcoming 5G network design. While most of its promise is quite straightforward, the implied reduction of the power consumption/carbon footprint is still debatable, and not in line with the energy efficiency perspective...
In this work, we report a study carried out to identify a set of metrics to early estimate the development effort of mobile apps. The applied methodology was inspired by the work of Mendes et al. who addressed a similar problem in the field of web apps. In particular, we extracted an initial set of metrics by analyzing the online quotes forms that companies made available on their websites. Afterward,...
The origin-destination (O-D) matrix is a known indicator of individual and group mobility in transport science, an invaluable input for socio-economic activity assessment of the community, and a tool for strategic planning and policy developments. The abundance of mobility-related data allows for expansion of the ODM towards the description of the over-all socio-economic activity, of which the transport...
This paper presents an approach for autonomous and reliable localization of fugitive methane emissions and quantification of source emission rates over large regions of interest. Previous methods have used single mobile unmanned ground vehicle (UGV) leak localization, but as a result cannot disambiguate multiple sources when plumes overlap. The novel method presented in this paper implements a mobile...
Accurate estimations of footfall count have several important uses, examples include monitoring crowd movement, allocation of emergency services, retail planning, transport planning, and so on. To estimate footfall count, data logs from telco's Location Based Services (LBS) system can be used. LBS records indicate the cellular towers that mobile phone users are connected to at a given date and time...
In this contribution an improved approach for indoor localization based on low cost Bluetooth Low Energy (BLE) systems is proposed. The measured Received Signal Strength Indicator (RSSI) values, which are available in Bluetooth systems anyway, are used for localization. It is well-known that localization based on RSSI measurements can only be achieved with a limited accuracy when applying these values...
The active intensity vector (AIV) is a common descriptor of the sound field. In microphone array processing, AIV is commonly approximated with beamforming operations and utilized as a direction of arrival (DOA) estimator. However, in its original form, it provides inaccurate estimates in sound field conditions where coherent sound sources are simultaneously active. In this work we utilize a higher...
In today's advancing ubiquitous computing age, with its ever-increasing amount of information from various applications and services available for consumption, the management of people's attention has become very important. In particular, the high volume of notifications on mobile devices has become a major cause of interruption of users. There has been much research aimed at detecting the opportune...
Modeling the power profile of mobile applications is a crucial activity to identify the causes behind energy leaks. To this aim, researchers have proposed hardware-based tools as well as model-based and software-based techniques to approximate the actual energy profile. However, all these solutions present their own advantages and disadvantages. Hardware-based tools are highly precise, but at the...
In this paper, we focus on the definition of estimators to predict method calls in Android apps. Estimation models are based on information from requirements specification documents (e.g., number of actors, number of use cases, and number of classes in the conceptual model). We have used a dataset containing information on 23 Android apps. After performing data-cleaning, we applied linear regression...
In this paper, we address the problem of controlling a network of mobile sensors to estimate a collection of hidden states to a user-specified accuracy. The mobile sensors simultaneously take measurements of the hidden states, fuse them in a distributed filter, and plan their next views in order to minimize expected uncertainty. This formulation leads to an optimization problem with as many coupled...
Most research on the visual servoing of mobile manipulators used the assumption that the depth information is already known. In this paper, a visual servoing scheme without the prior knowledge of depth is proposed to regulate a mobile manipulator to a desired pose at eye-to-hand setup. To deal with the nonholonomic constraint of wheeled mobile platform, the Jacobian matrix was combined with the depth-independent...
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