Tag Archive: 'Omnet Download'

Profiling Wireless Resource Usage for Mobile Apps via Crowdsourcing-based Network Analytics

The rapid growth of mobile app traffic brings huge pressure to today’s cellular networks. While this fact is commonly concerned by all the mobile carriers, little work has been done to analyze app’s network resource usage. In this paper, we for the first time profile network resource usages for mobile apps by establishing a quantitative […]

Complete Stability of Neural Networks with Non-monotonic Piecewise Linear Activation Functions

This brief studies the complete stability of neural networks with non-monotonic piecewise linear activation functions. By applying the fixed point theorem and the eigenvalue properties of strict diagonal dominance matrix, some conditions are derived which guarantee that such n-neuron neural networks are completely stable. More precisely, the following two important results are obtained: 1) The […]

Analytic Approximation of Fault Current Contributions From Capacitive Components in HVDC Cable Networks

A novel approach for the calculation of transient fault current contributions from capacitive network components in HVDC cable networks during pole-to-ground faults is presented in this paper. Analytic approximations considering the skin effect and the resulting distortion of the waveshape of the fault surge are proposed. Only fault current contributions from capacitive components, such as […]

Effect of MAC type and speed on neighbor discovery in wireless train networks

In this paper, a wireless neighbor discovery (ND) process in a linear topology of a high-speed train backbone network is studied. A key step that enables communication in such a network is that of topology discovery (TD), whereby nodes learn in a distributed fashion the physical topology of the backbone network. ND, where each individual […]

Frequency Partitioning Methods to Mitigate Cross-Tier Interference in Two-Tier Femtocell Networks

Femtocells are attractive candidates for future cellular systems since they can greatly improve coverage and data rates. However, severe interference may occur and hinder the improved system performance due to a large number of femtocells sharing frequency bands with the macrocell. In this paper, we consider the interference problem in two-tier femtocell networks and propose […]

A tunable common mode inductor with an auxiliary winding network

In conventional switching converter, the parasitic capacitance between switching circuit and ground introduces common mode (CM) noise problem. A CM inductor is inserted in the power feeding paths to produce a high impedance to attenuate the CM noise. However, this parasitic capacitance and the CM inductor create low-frequency resonance near the switching frequency and its […]

Data-based predictive control for networked non-linear systems with two-channel packet dropouts

This study is concerned with the data-based control of networked non-linear control systems with random packet dropouts in both the sensor-to-controller and controller-to-actuator channels. By taking advantage of the characteristics of networked control systems such as the packet-based transmission, timestamp technique, as well as smart sensor and actuator, a data-based networked predictive control (DBNPC) method […]

Learning Understandable Neural Networks With Nonnegative Weight Constraints

People can understand complex structures if they relate to more isolated yet understandable concepts. Despite this fact, popular pattern recognition tools, such as decision tree or production rule learners, produce only flat models which do not build intermediate data representations. On the other hand, neural networks typically learn hierarchical but opaque models. We show how […]

Multi-gigabit millimeter wave wireless communications for 5G: from fixed access to cellular networks

With the formidable growth of various booming wireless communication services that require ever increasing data throughputs, the conventional microwave band below 10 GHz, which is currently used by almost all mobile communication systems, is going to reach its saturation point within just a few years. Therefore, the attention of radio system designers has been pushed […]

Boosting named data networking for efficient packet forwarding in urban VANET scenarios

Named Data Networking (NDN) is a data-centric architecture designed for the future Internet. Existing works show that NDN brings significant performance improvement for typical content-centric applications, and can also fit the mobile environment well. However, directly applying NDN to Vehicular Ad hoc NETworks (VANETs) is confronted with great challenges due to the high mobility of […]