0000000000602936

AUTHOR

Siddharth Deshmukh

showing 5 related works from this author

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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Distributed Resource Allocation in Underlay Multicast D2D Communications

2021

Multicast device-to-device communications operating underlay with cellular networks is a spectral efficient technique for disseminating data to nearby receivers. However, due to the critical challenge of having an intelligent interference coordination between multicast groups along with the cellular network, it is necessary to judiciously perform resource allocation for the combined network. In this work, we present a framework for a joint channel and power allocation strategy to maximize the sum rate of the combined network while guaranteeing minimum rate to individual groups and cellular users. The objective function is augmented by an austerity function that penalizes excessive assignmen…

Mathematical optimizationMulticastChannel allocation schemesComputer science020206 networking & telecommunications020302 automobile design & engineeringThroughput02 engineering and technology0203 mechanical engineeringDistributed algorithm0202 electrical engineering electronic engineering information engineeringCellular networkResource allocationElectrical and Electronic EngineeringUnderlayDisseminationCommunication channelIEEE Transactions on Communications
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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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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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Reliable Underlay Device-to-Device Communications on Multiple Channels

2019

Device-to-device (D2D) communications provide a substantial increase in spectrum usage and efficiency by allowing nearby users to communicate directly without passing their packets through the base station (BS). In previous works, proper channel assignment and power allocation algorithms for sharing of channels between cellular users and D2D pairs, usually require exact knowledge of the channel-state-information (CSI). However, due to the non-stationary wireless environment and the need to limit the communication and computation overheads, obtaining perfect CSI in the D2D communication scenario is generally not possible. In this work, we propose a joint channel assignment and power allocati…

Computer sciencebusiness.industryNetwork packetComputationReliability (computer networking)05 social sciences050801 communication & media studies020302 automobile design & engineeringThroughput02 engineering and technologyBase station0508 media and communications0203 mechanical engineeringComputer Science::Networking and Internet ArchitectureWirelessUnderlaybusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science::Information TheoryCommunication channelComputer network2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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