IEEE Wireless Communications Letters · 2013 · 255 citations · 19 references
EngineeringCommunicationElectrical EngineeringInformation TheoryOptimizationWireless CommunicationsBeamformingChannel CapacityEnergy EfficiencyPower OptimizationWireless NetworksWireless Power TransferEnergy BeamformingEnergy-efficient CommunicationEnergy-efficient Data TransmissionEnergy-efficient Resource AllocationInformation TransmissionPower AllocationWireless NetworkingWireless Transmission
In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.
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Scaling up MIMO: Opportunities and challenges with very large arrays
2013 · 4.3K citations
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