Long Term Evolution (LTE) is being widely deployed to support real-time applications, such as voice over IP and video games. These power consuming applications create new challenges for resource allocation. Therefore, providing efficient resource allocation as well as extending user equipment’s (UE) battery lifetime are two important goals in LTE network. Maximum Largest Weighted Delay First (M-LWDF) […]
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Efficient downlink scheduling with discontinuous reception (DRX) mechanism in LTE network
This letter proposes a solution to the multicast subgroup formation problem that aims to maximize the aggregate data rate in Long Term Evolution (LTE) and beyond systems. We analytically demonstrate that, by reducing the solution search space and releasing some constraints, the problem can be solved in a closed form, and a very small number […]
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Smart community health awareness model
In this paper we present a novel cloud supported model for efficient community health awareness in presence of a large scale WBANs data generation. The objective is to process this big data in order to detect the abnormal data using MapReduce infrastructure and user defined functions with minimum processing delay. The goal is to have […]
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New Approach to the Stability of Chemical Reaction Networks: Piecewise Linear in Rates Lyapunov Functions
Piecewise-Linear in Rates (PWLR) Lyapunov functions are introduced for a class of Chemical Reaction Networks (CRNs). In addition to their simple structure, these functions are robust with respect to arbitrary monotone reaction rates, of which Mass-Action is a special case. The existence of such functions ensures the convergence of trajectories towards equilibria, and can be […]
Read moreThe ability to control the behavior of intracellular networks has relevant applications, ranging from an optimized synthesis of metabolites in bacteria to the cure of human diseases. To implement a controller in vivo, one may insert synthetic biomolecules into the cell being controlled. This paper develops a formal approach, based on Supervisory Control Theory (SCT), […]
Read moreThis paper presents a novel change detection approach for synthetic aperture radar images based on deep learning. The approach accomplishes the detection of the changed and unchanged areas by designing a deep neural network. The main guideline is to produce a change detection map directly from two images with the trained deep neural network. The […]
Read moreTo design sufficiently reliable wireless body area network (WBAN) system for future health-care, channel modeling plays an important role. Especially from the viewpoint of antenna optimization, the channel modeling approach should be able to de-embed the antenna contribution to the channel response. Two modeling approaches using spherical wave functions (SWFs) and orthogonal dipoles (ODs) have […]
Read moreToday, off-line network planning tools are used to optimize transport networks from scratch. A set of pre-planned wavelength services is taken into account for routing optimization. Performing such optimization in an operational transport network may lead to the rerouting of a large amount of wavelengths per link followed by massive adjustments of optical power levels. […]
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Social Networks and Asset Price Dynamics
In this paper, we investigate how behavioral contagion in terms of mimetic strategy learning within a social network would affect the asset price dynamics. The characteristics of this paper are as follows. First, traders are characterized by bounded rationality and their adaptive learning behavior is represented by the genetic programming algorithm. The use of the […]
Read moreThe present note investigates the stabilization, controllability and optimal control problem of Boolean networks with impulsive effects and state constraints. By using the semi-tensor product method, the algebraic form of the Boolean networks with impulsive effects and state constraints is derived. The stabilization and controllability issues of the systems are investigated and some necessary and […]
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