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Thomas L. Marzetta
Researcher at New York University
Publications - 212
Citations - 51076
Thomas L. Marzetta is an academic researcher from New York University. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 57, co-authored 206 publications receiving 45509 citations. Previous affiliations of Thomas L. Marzetta include Mathematical Sciences Research Institute & Alcatel-Lucent.
Papers
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Journal ArticleDOI
Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading
TL;DR: This work designs some multiple-antenna signal constellations and simulates their effectiveness as measured by bit-error probability with maximum-likelihood decoding and demonstrates that two antennas have a 6-dB diversity gain over one antenna at 15-dB SNR.
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Massive MIMO: ten myths and one critical question
TL;DR: This overview article identifies 10 myths of Massive MIMO and explains why they are not true, and asks a question that is critical for the practical adoption of the technology and which will require intense future research activities to answer properly.
Posted Content
Pilot Contamination and Precoding in Multi-Cell TDD Systems
TL;DR: In this paper, a multi-cell multiple antenna system with precoding used at the base stations for downlink transmission is considered, where the precoding matrix used by the base station in one cell becomes corrupted by the channel between that base station and the users in other cells in an undesirable manner.
Posted Content
Cell-Free Massive MIMO versus Small Cells
TL;DR: Under uncorrelated shadow fading conditions, the cell-free scheme provides nearly fivefold improvement in 95%-likely per-user throughput over the small-cell scheme, and tenfold improvement when shadow fading is correlated.
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Systematic design of unitary space-time constellations
TL;DR: This paper proposes a systematic method for creating constellations of unitary space-time signals for multiple-antenna communication links and systematically produces the remaining signals by successively rotating this signal in a high-dimensional complex space.