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Massive multiple-input multiple-output (MIMO) wireless communications refers to the idea equipping cellular base stations (BSs) with a very large number of antennas, and has been shown to potentially allow for orders of magnitude improvement in spectral and energy efficiency using relatively simple (linear) processing. In this paper, we present a comprehensive overview of state-of-the-art research on the topic, which has recently attracted considerable attention. We begin with an information theoretic analysis to illustrate the conjectured advantages of massive MIMO, and then we address implementation issues related to channel estimation, detection and precoding schemes. We particularly focus on the potential impact of pilot contamination caused by the use of non-orthogonal pilot sequences by users in adjacent cells. We also analyze the energy efficiency achieved by massive MIMO systems, and demonstrate how the degrees of freedom provided by massive MIMO systems enable efficient single-carrier transmission. Finally, the challenges and opportunities associated with implementing massive MIMO in future wireless communications systems are discussed.
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Lu Lu
Georgia Institute of Technology
Geoffrey Ye Li
Beijing Institute of Technology
A. Lee Swindlehurst
University of California, Irvine
IEEE Journal of Selected Topics in Signal Processing
University of California, Irvine
Georgia Institute of Technology
National University of Singapore
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Lu et al. (Tue,) studied this question.
synapsesocial.com/papers/69fd34e3015782f43c50a18a — DOI: https://doi.org/10.1109/jstsp.2014.2317671