Search results for "Signal-to-interference-plus-noise ratio"

showing 6 items of 6 documents

Maximum Lifetime Problem in Sensor Networks with Limited Channel Capacity

2016

We analyze the maximum lifetime problem in sensor networks with limited channel capacity for multipoint-to-multipoint and broadcast data transmission services. For the transmission model in which the transmitter adjust the power of its radio signal to the distance to the receiver we propose a new Signal to Interference plus Noise Ratio function and use it to modify the Shannon-Hartley channel capacity formula. We show, that in order to achieve an optimal data transmission regarding considered the maximum lifetime problem we cannot allow for any interference of signals. For considered transmission model and the modified capacity formula we solve the maximum lifetime problem in one dimensiona…

energy managementbusiness.industryComputer sciencechannel capacityComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTransmitterSignal-to-interference-plus-noise ratioData_CODINGANDINFORMATIONTHEORYwireless communicationsensor network lifetimeChannel capacityTransmission (telecommunications)Interference (communication)Electronic engineeringWirelessbusinessWireless sensor networkComputer Science::Information TheoryData transmission
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Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework

2020

Robust beamforming is an efficient technique to guarantee the desired receiver performance in the presence of erroneous channel state information (CSI). However, the application of robust beamforming in underlay device-to-device (D2D) communication still requires further investigation. In this paper, we investigate resource allocation problem for underlay D2D communications by considering multiple antennas at the base station (BS) and at the transmitters of D2D pairs. The proposed design problem aims at maximizing the aggregate rate of all D2D pairs and cellular users (CUs) in downlink spectrum. In addition, our objective is augmented to achieve a fair allocation of resources across the D2D…

BeamformingMathematical optimizationOptimization problemComputer scienceChannel state informationTelecommunications linkComputer Science::Networking and Internet ArchitectureSignal-to-interference-plus-noise ratioData_CODINGANDINFORMATIONTHEORYRelaxation (approximation)UnderlayComputer Science::Information TheorySlack variableICC 2020 - 2020 IEEE International Conference on Communications (ICC)
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Partial joint processing with efficient backhauling using particle swarm optimization

2012

In cellular communication systems with frequency reuse factor of one, user terminals (UT) at the cell-edge are prone to intercell interference. Joint processing is one of the coordinated multipoint transmission techniques proposed to mitigate this interference. In the case of centralized joint processing, the channel state information fed back by the users need to be available at the central coordination node for precoding. The precoding weights (with the user data) need to be available at the corresponding base stations to serve the UTs. These increase the backhaul traffic. In this article, partial joint processing (PJP) is considered as a general framework that allows reducing the amount …

Mathematical optimizationComputer Networks and CommunicationsComputer scienceReal-time computingSignal-to-interference-plus-noise ratio02 engineering and technologycoordinated multipointPrecodingFrequency reusejoint processingBase station0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringZero-forcing precodingComunicació i tecnologiaprecodingOther Electrical Engineering Electronic Engineering Information Engineeringparticle swarm optimizationComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSParticle swarm optimization020206 networking & telecommunications020302 automobile design & engineeringstochastic optimizationComputer Science ApplicationsBackhaul (telecommunications)Channel state informationSignal ProcessingTelecommunicationsStochastic optimizationEURASIP Journal on Wireless Communications and Networking
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Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels

2020

Underlay device-to-device (D2D) communications lead to improvement in spectral efficiency by simultaneously allowing direct communication between the users and the existing cellular transmission. However, most works in resource allocation for D2D communication have considered single antenna transmission and with a focus on perfect channel state information (CSI). This work formulates a robust transmit beamforming design problem for maximizing the aggregate rate of all D2D pairs and cellular users (CUs). Assuming complex Gaussian distributed CSI error, our formulation guarantees probabilistically a signal to interference plus noise ratio (SINR) above a specified threshold. In addition, we al…

BeamformingMathematical optimizationComputer scienceProbabilistic logicSignal-to-interference-plus-noise ratio020302 automobile design & engineering020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologySpectral efficiency0203 mechanical engineeringChannel state informationRobustness (computer science)Computer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringResource allocationUnderlayVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science::Information Theory2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Multicell power allocation method based on game theory for inter-cell interference coordination

2009

As a new technology, coordinated multipoint (CoMP) transmission is included in LTE-Advanced study item. Moreover, the network architecture in LTE-Advanced system is modified to take into account coordinated transmission. Under this background, a novel power allocation game model is established to mitigate inter-cell interference with cellular coordination. In the light of cellular cooperation relationship and centralized control in eNodeB, the power allocation in each served antenna unit aims to make signal to interference plus noise ratio (SINR) balanced among inter-cells. Through the proposed power allocation game algorithm, the users' SINR can reach the Nash equilibrium, making it feasib…

Mathematical optimizationGeneral Computer ScienceComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSSignal-to-interference-plus-noise ratioThroughputInterference (wave propagation)Blocking (statistics)Telecomunicaciósymbols.namesakeEnodeBTransmission (telecommunications)Nash equilibriumsymbolsGame theoryComunicació i tecnologiaSimulation
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SINR analysis of OFDM systems using a geometry-based underwater acoustic channel model

2015

The Doppler effect is caused by the relative movement between the transmitter (Tx) and the receiver (Rx) and/or the surface motion (waves) in underwater acoustic (UWA) communication systems. The inter-channel interference (ICI) caused by the Doppler effect degrades the performance of orthogonal frequency-division multiplexing (OFDM) systems over UWA channels. This paper is devoted to the ICI plus noise analysis of UWA-OFDM systems over a geometry-based channel model for shallow UWA channels. We carry out the exact calculation of the ICI power, ambient noise power, and required transmit power, as well as their effects on the performance of UWA-OFDM systems. The signal-to-interference ratio (…

Computer scienceOrthogonal frequency-division multiplexingBandwidth (signal processing)Ambient noise levelTransmitterSignal-to-interference-plus-noise ratioGeometryTransmitter power outputInterference (wave propagation)Multiplexingsymbols.namesakeSignal-to-noise ratiosymbolsDoppler effectCommunication channel2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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