This paper deals with the problem of sum rate maximization for a multiuser orthogonal frequency-division multiple access channel with secrecy rate constraints. We consider the case of a multiple-antenna base station (...
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This paper deals with the problem of sum rate maximization for a multiuser orthogonal frequency-division multiple access channel with secrecy rate constraints. We consider the case of a multiple-antenna base station (BS) and several single-antenna downlink receivers; a single secure user, a single eavesdropper and several normal users (without secrecy requirements). The eavesdropper intends to wiretap the message of the secure user and the BS aims to protect its transmission by appropriately scheduling normal users and enforcing spatial multiplexing between them and the secure user. A frequency (subchannel) and power allocation problem that aims to maximize the sum rate of the normal users, while a secrecy rate constraint is ensured for the secure user, is formulated. The resulting resource allocation problem is non-convex. Based on the dual problem and some well-defined transformations, we provide an iterative resource allocation algorithm with linear complexity with respect to the number of normal users and subchannels. In addition, two low-complexity solutions that are based on the decoupling of the subchannel and the power allocation subproblems, are investigated. Numerical results are provided to illustrate the performance of all the proposed solutions.
We present a methodology, called communication-aware virtual infrastructures (COMAVI), for the concurrent migration of multiple Virtual Machines (VMs) in cloud computing infrastructures, which aims at the optimum use ...
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We present a methodology, called communication-aware virtual infrastructures (COMAVI), for the concurrent migration of multiple Virtual Machines (VMs) in cloud computing infrastructures, which aims at the optimum use of the available computational and network resources, by capturing the interdependencies between the communicating VMs. This methodology uses multiple criteria for selecting the VMs that will migrate, with different weights assigned to each of them. COMAVI also selects the computing sites/units where the migrating VMs will be hosted, by accounting for the way migration affects the logical (or virtual) topologies formed by the communicating VMs and viewing this selection as a logical topology reconfiguration problem. COMAVI resolves the maximum possible number of VM resource shortages, while tending to minimize the number of migrations performed, the induced network overhead, the logical topology reconfigurations required, and the corresponding service interruptions. We evaluate the proposed method through simulations, where we exhibit their performance benefits.
Monitoring of physiological signals of an individual via remote and contactless means is an important scientific challenge, whose resolution will enable the development of novel, non-intrusive mHealth and wellness-man...
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Monitoring of physiological signals of an individual via remote and contactless means is an important scientific challenge, whose resolution will enable the development of novel, non-intrusive mHealth and wellness-management systems and services. In this paper, the performance of three blind source separation algorithms for the optical estimation of the heart rate have been studied. The objective is to perform a comparative evaluation of their accuracy and convergence capability, for the optical estimation of the heart rate.
We present the results of the Greek pilot "IPv6 upgrade of Energy Efficiency in School Networks" [1], implemented in the context of the EU-sponsored project Governments ENabled with IPv6 (GEN6) [2]. The Gree...
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ISBN:
(纸本)9781450328975
We present the results of the Greek pilot "IPv6 upgrade of Energy Efficiency in School Networks" [1], implemented in the context of the EU-sponsored project Governments ENabled with IPv6 (GEN6) [2]. The Greek pilot is part of a number of other European pilots (in Slovenia, Spain, Germany and Turkey) of the GEN6 project, which have the mission to validate and catalyze the deployment of IPv6 in the existing EU government infrastructures, services and applications. The Greek pilot, presented in this work has to do with the development, the installation and operation of an energy metering infrastructure in Greek Schools.
The paper is motivated by making use of solar energy in public lighting services via an intermediate battery storage. The aim is to develop algorithms for controlling the energy flow in the system, in such a way that ...
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The paper is motivated by making use of solar energy in public lighting services via an intermediate battery storage. The aim is to develop algorithms for controlling the energy flow in the system, in such a way that robustness against power outages is guaranteed and the total energy cost is minimized. A novel approach is proposed which predicts energy production and consumption by fitting stochastic models to historic data, and solves the resulting optimization problem on a rolling horizon. Experimental results are also presented, illustrating the behavior of the controlled energy system in typical winter and summer days.
This paper introduces our dedicated authenticated encryption scheme ICEPOLE. ICEPOLE is a high-speed hardware-oriented scheme, suitable for high-throughput network nodes or generally any environment where specialized ...
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Several neuroimaging studies have suggested that functional brain connectivity networks exhibit "small-world" characteristics, whereas recent studies based on structural data have proposed a "rich-club&...
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ISBN:
(纸本)9781424492695
Several neuroimaging studies have suggested that functional brain connectivity networks exhibit "small-world" characteristics, whereas recent studies based on structural data have proposed a "rich-club" organization of brain networks, whereby hubs of high connection density tend to connect among themselves compared to nodes of lower density. In this study, we adopted an "attack strategy" to compare the rich-club and small-world organizations and identify the model that describes best the topology of brain connectivity. We hypothesized that the highest reduction in global efficiency caused by a targeted attack on each model's hubs would reveal the organization that better describes the topology of the underlying brain networks. We applied this approach to magnetoencephalographic data obtained at rest from neurologically intact controls and mild traumatic brain injury patients. Functional connectivity networks were computed using phase-to-amplitude cross-frequency coupling between the δ and β frequency bands. Our results suggest that resting state MEG connectivity networks follow a rich-club organization.
We propose a traffic prediction algorithm that reduces the packets delay in Ethernet Passive Optical Networks (EPONs). The algorithm relies on Multi-Point Control Protocol (MPCP) message and traffic monitoring at the ...
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We propose a traffic prediction algorithm that reduces the packets delay in Ethernet Passive Optical Networks (EPONs). The algorithm relies on Multi-Point Control Protocol (MPCP) message and traffic monitoring at the Optical Network Units (ONUs) and utilizes the monitoring information to predict the accumulated burst size using higher order least-mean-square polynomial approximations. The simulation of the algorithm shows that it achieves a delay improvement of over 30% without any further modification in the communication and bandwidth assignment procedure of the EPON.
Processing of emotional (or expressive) speech has gained attention over recent years in the speech community due to its numerous applications. In this paper, an adaptive sinusoidal model (aSM), dubbed extended adapti...
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ISBN:
(纸本)9781479946037
Processing of emotional (or expressive) speech has gained attention over recent years in the speech community due to its numerous applications. In this paper, an adaptive sinusoidal model (aSM), dubbed extended adaptive Quasi-Harmonic Model - eaQHM, is employed to analyze emotional speech in accurate, robust, continuous, time-varying parameters (amplitude, frequency, and phase). It is shown that these parameters can adequately and accurately represent emotional speech content. Using a well known database of narrowband expressive speech (SUSAS) we show that very high Signal-to-Reconstruction-Error Ratio (SRER) values can be obtained, compared to the standard sinusoidal model (SM). Formal listening tests on a smaller wideband speech database show that the eaQHM outperforms SM from a perceptual resynthesis quality point of view. Finally, preliminary emotion classification tests show that the parameters obtained from the adaptive model lead to a higher classification score, compared to the standard SM parameters.
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