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      Power, Linearity, and Efficiency Prediction for MIMO Arrays With Antenna Coupling

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          Scaling up MIMO: Opportunities and Challenges with Very Large Arrays

          This paper surveys recent advances in the area of very large MIMO systems. With very large MIMO, we think of systems that use antenna arrays with an order of magnitude more elements than in systems being built today, say a hundred antennas or more. Very large MIMO entails an unprecedented number of antennas simultaneously serving a much smaller number of terminals. The disparity in number emerges as a desirable operating condition and a practical one as well. The number of terminals that can be simultaneously served is limited, not by the number of antennas, but rather by our inability to acquire channel-state information for an unlimited number of terminals. Larger numbers of terminals can always be accommodated by combining very large MIMO technology with conventional time- and frequency-division multiplexing via OFDM. Very large MIMO arrays is a new research field both in communication theory, propagation, and electronics and represents a paradigm shift in the way of thinking both with regards to theory, systems and implementation. The ultimate vision of very large MIMO systems is that the antenna array would consist of small active antenna units, plugged into an (optical) fieldbus.
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            Polyharmonic distortion modeling

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              A Modified Doherty Power Amplifier With Extended Bandwidth and Reconfigurable Efficiency

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                Author and article information

                Journal
                IEEE Transactions on Microwave Theory and Techniques
                IEEE Trans. Microwave Theory Techn.
                Institute of Electrical and Electronics Engineers (IEEE)
                0018-9480
                1557-9670
                December 2017
                December 2017
                : 65
                : 12
                : 5284-5297
                Article
                10.1109/TMTT.2017.2766067
                40b45b0f-8573-416d-af85-4d129727c168
                © 2017
                History

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