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      Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming

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          Abstract

          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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          Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas

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            Multiple-Antenna Channel Hardening and Its Implications for Rate Feedback and Scheduling

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              Energy-Efficient Resource Allocation for Secure OFDMA Systems

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                Author and article information

                Journal
                2013-09-23
                Article
                10.1109/WCL.2013.092813.130514
                1309.6027
                c54e94f2-0648-4481-bdd9-abaffbb404d4

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                4 pages, 3 figures. IEEE Wireless Communications Letters 2013
                cs.IT math.IT

                Numerical methods,Information systems & theory
                Numerical methods, Information systems & theory

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