Tag Archive: 'Omnet Manual'
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 […]
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 […]
In this paper, we characterize the average end-toend delay in an opportunistic multi-hop secondary cognitive radio network overlaid with a primary multi-hop network. Nodes in both networks use random medium access control (MAC) scheme with exponentially distributed back-off. We first model the network as a two-class priority queuing network and use queuing-theoretic approximation techniques to […]
This paper is concerned with the design of switch fabrics for on-chip network routers and multicore computer chips. Using a cyclic permutation group representation, it describes an n-terminal, one-sided, binary-tree-crossbar switch fabric comprising a O(lg n) columns of crosspoints with a fan-out of two and n/2 columns of wiring. It also presents a distributed algorithm […]
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 […]
It is well known that the inverted pendulum can describe a variety of inherently unstable systems, which is a major reason to consider it as a benchmark problem in control and identification. In this paper, a comparison between two different kinds of neural networks is presented, on one hand the feed-forward multilayer network with back-propagation […]
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 […]
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 […]
This letter presents a unified framework for the outage performance analysis of cognitive opportunistic amplify- and-forward relay networks with a direct link using maximum ratio combining (MRC) and selection combining (SC) schemes in the presence of multiple primary receivers. Specifically, we derive unified closed-form expressions of outage probability and asymptotic outage behavior for both the […]
As modern wireless communication networks continue to spread in coverage and ubiquity, so do the applications for networks that take advantage of mobile technology. One of the more interesting areas of research and development is in the development and deployment of vehicular ad hoc networks (VANETs). VANETs offer the potential for intelligent transportation networks that […]
WorldWide OMNeT++ PROJECTS FOR STUDENTS
Journal Support For Paper Publication
