Search results for "Allocation"

showing 10 items of 538 documents

Reliable Multicast D2D Communication Over Multiple Channels in Underlay Cellular Networks

2020

Multicast device-to-device (D2D) communications operating underlay with cellular networks is a spectral efficient technique for disseminating data to the nearby receivers. However, due to critical challenges such as, mitigating mutual interference and unavailability of perfect channel state information (CSI), the resource allocation to multicast groups needs significant attention. In this work, we present a framework for joint channel assignment and power allocation strategy to maximize the sum rate of the combined network. The proposed framework allows access of multiple channels to the multicast groups, thus improving the achievable rate of the individual groups. Furthermore, fairness in …

Mathematical optimizationMulticastComputer scienceChannel state informationReliable multicastCellular networkResource allocationThroughputUnderlayDisseminationComputer Science::Information TheoryCommunication channel2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
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Learning Automata-Based Solutions to Stochastic Nonlinear Resource Allocation Problems

2009

“Computational Intelligence” is an extremely wide-ranging and all-encompassing area. However, it is fair to say that the strength of a system that possesses “Computational Intelligence” can be quantified by its ability to solve problems that are intrinsically hard. One such class of NP-Hard problems concerns the so-called family of Knapsack Problems, and in this Chapter, we shall explain how a sub-field of Artificial Intelligence, namely that which involves “Learning Automata”, can be used to produce fast and accurate solutions to “difficult” and randomized versions of the Knapsack problem (KP).

Mathematical optimizationNonlinear systemClass (computer programming)Learning automataKnapsack problemContinuous knapsack problemResource allocationStochastic optimizationComputational intelligenceMathematics
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Joint Optimization of Detection Threshold and Resource Allocation in Infrastructure-based Multi-band Cognitive Radio Networks

2012

[EN] Consider an infrastructure-based multi-band cognitive radio network (CRN) where secondary users (SUs) opportunistically access a set of sub-carriers when sensed as idle. The carrier sensing threshold which affects the access opportunities of SUs is conventionally regarded as static and treated independently from the resource allocation in the model. In this article, we study jointly the optimization of detection threshold and resource allocation with the goal of maximizing the total downlink capacity of SUs in such CRNs. The optimization problem is formulated considering three sets of variables, i.e., detection threshold, sub-carrier assignment and power allocation, with constraints on…

Mathematical optimizationOptimization problemComputer scienceComputer Networks and Communications020208 electrical & electronic engineeringReal-time computing020206 networking & telecommunications02 engineering and technologyINGENIERIA TELEMATICAPower budgetComputer Science ApplicationsMulti-band cognitive radio networksBase stationCognitive radioTelecommunications linkSignal Processing0202 electrical engineering electronic engineering information engineeringResource allocationOnline algorithmResource allocationOptimization of detection threshold
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Energy-Efficient Resource Optimization with Wireless Power Transfer for Secure NOMA Systems

2018

In this paper, we investigate resource allocation algorithm design for secure non-orthogonal multiple access (NOMA) systems empowered by wireless power transfer. With the consideration of an existing eavesdropper, the objective is to obtain secure and energy efficient transmission among multiple users by optimizing time, power and subchannel allocation. Moreover, we also take into consideration for the practical case that the statistics of the channel state information of the eavesdropper is not available. In order to address the optimization problem and its high computational complexity, we propose an iterative algorithm with guaranteed convergence to deliver a suboptimal solution for gene…

Mathematical optimizationOptimization problemIterative methodComputer sciencewireless power transfer02 engineering and technologysecuritylangaton tiedonsiirto0203 mechanical engineeringoptimointi0202 electrical engineering electronic engineering information engineeringWirelessResource managementresource managementreceiversta213business.industryturvallisuusNOMA020206 networking & telecommunications020302 automobile design & engineeringwireless communicationChannel state informationlangaton viestintäResource allocationbusinessoptimizationEfficient energy use
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Multiple-Choice Balanced Allocation in (Almost) Parallel

2012

We consider the problem of resource allocation in a parallel environment where new incoming resources are arriving online in groups or batches.

Mathematical optimizationResource allocationLoad vectorMultiple choiceMathematics
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Revenue-based adaptive deficit round robin

2005

This paper presents an adaptive resource allocation model that is based on the DRR queuing policy. The model ensures QoS requirements and tries to maximize a service provider's revenue by manipulating quantum values of the DRR scheduler. To calculate quantum values, it is proposed to use the revenue criterion that controls the allocation of free resources. The simulation considers a single node with the implemented model that serves several service classes with different QoS requirements and traffic characteristics. It is shown that the total revenue can be increased due to the allocation of unused resources to more expensive service classes. At the same time, bandwidth and delay guarantees…

Mathematical optimizationService qualityQueueing theoryComputer scienceresource allocation modelQuality of serviceTotal revenueQoSDeficit round robinService providerComputer securitycomputer.software_genreScheduling (computing)DRR queuingRevenueResource allocationcomputerQueue
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A generalization of the orthogonal regression technique for life cycle inventory

2012

Life cycle assessment (LCA) is a method used to quantify the environmental impacts of a product, process, or service across its whole life cycle. One of the problems occurring when the system at hand involves processes delivering more than one valuable output is the apportionment of resource consumption and environmental burdens in the correct proportion amongst the products. The mathematical formulation of the problem is represented by the solution of an over-determined system of linear equations. The paper describes the application of an iterative algorithm for the implementation of least square regression to solve this over-determined system directly in its rectangular form. The applied …

Mathematical optimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleGETLSLife cycle assessment LCA Allocatation GETILS Multi-Functionality Orthogonal Regression Total Least squaresAllocationMulti-FunctionalityExplained sum of squaresGeneralized least squaresLife Cycle AssessmentTotal Least SquaresLeast squaresRobust regressionIteratively reweighted least squaresNon-linear least squaresTotal least squaresLinear least squaresOrthogonal RegressionInformation SystemsMathematics
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TOWARD A SOLUTION OF ALLOCATION IN LIFE CYCLE INVENTORIES: THE USE OF LEAST SQUARES TECHNIQUES

2010

Purpose: The matrix method for the solution of the so-called inventory problem in LCA generally determines the inventory vector related to a specific system of processes by solving a system of linear equations. The paper proposes a new approach to deal with systems characterized by a rectangular (and thus non-invertible) coefficients matrix. The approach, based on the application of regression techniques, allows solving the system without using computational expedients such as the allocation procedure. Methods: The regression techniques used in the paper are (besides the ordinary least squares, OLS) total least squares (TLS) and data least squares (DLS). In this paper, the authors present t…

Mathematical optimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleMulti-functional processLCAAllocationGeneralized least squares/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_productionLeast squaresOverdetermined systemLeast squaresOrthogonal regressionOver-determined systemDiscrepancy vectorNon-linear least squaresOrdinary least squaresLeast squares support vector machineTotal least squaresSDG 12 - Responsible Consumption and ProductionLinear least squaresGeneral Environmental ScienceMathematics
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Energy-efficient resource allocation for OFDMA two-way relay networks with imperfect CSI

2015

Most of the existed works on the radio resource allocation (RRA) problem commonly assume the channel-state information (CSI) can be perfectly obtained by the transmission source. However, such assumption is not practical in the realistic wireless systems. In this work, we consider the practical implementation issues of resource allocation in orthogonal frequency division multiple access (OFDMA) two-way relay networks: the inaccuracy of channel-state information (CSI) available to the source. Instead, only the estimated channel status is known by the source. In this context, a joint optimization of subcarrier pairing and allocation, relay selection, and transmit power allocation is formulate…

Mathematical optimizationenergiatehokkuusComputer Networks and CommunicationsComputer scienceOrthogonal frequency-division multiple accessData_CODINGANDINFORMATIONTHEORYImperfect channel-state informationlaw.inventionOFDMARelaylawComputer Science::Information Theorybusiness.industryQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnergy consumptionTransmitter power outputComputer Science ApplicationsTwo-way relaySubcarrier pairingSignal ProcessingConvex optimizationResource allocationbusinessRadio resource allocationCommunication channelComputer networkEfficient energy useEURASIP Journal on Wireless Communications and Networking
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Solving dynamic memory allocation problems in embedded systems with parallel variable neighborhood search strategies

2015

International audience; Embedded systems have become an essential part of our lives, thanks to their evolution in the recent years, but the main drawback is their power consumption. This paper is focused on improving the memory allocation of embedded systems to reduce their power consumption. We propose a parallel variable neighborhood search algorithm for the dynamic memory allocation problem, and compare it with the state of the art. Computational results and statistical tests applied show that the proposed algorithm produces significantly better outcomes than the previous algorithm in shorter computing time.

Mathematical optimizationparallelismmetaheuristicsC dynamic memory allocationComputer sciencebusiness.industryApplied Mathematics[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]Static memory allocationPower consumptionEmbedded systemDiscrete Mathematics and Combinatoricsdynamic memory allocation problemembedded systemsState (computer science)businessMetaheuristicvariable neighborhood searchVariable neighborhood searchDrawbackStatistical hypothesis testing
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