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Andrea Goldsmith
Researcher at Princeton University
Publications - 804
Citations - 64836
Andrea Goldsmith is an academic researcher from Princeton University. The author has contributed to research in topics: Communication channel & Fading. The author has an hindex of 97, co-authored 793 publications receiving 61845 citations. Previous affiliations of Andrea Goldsmith include California Institute of Technology & Harvard University.
Papers
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Journal ArticleDOI
Sum power iterative water-filling for multi-antenna Gaussian broadcast channels
TL;DR: In this paper, the authors considered the problem of maximizing sum rate of a multiple-antenna Gaussian broadcast channel (BC) with dirty-paper coding and derived simple and fast iterative algorithms that provide the optimum transmission policies for the MAC, which can easily be mapped to the optimal BC policies.
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Area spectral efficiency of cellular mobile radio systems
TL;DR: A general analytical framework quantifying the spectral efficiency of cellular systems with variable-rate transmission is introduced, and Monte Carlo simulations are developed to estimate the value of this efficiency for average interference conditions.
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On the duality of Gaussian multiple-access and broadcast channels
TL;DR: A duality between Gaussian multiple-access channels (MACs) and Gaussian broadcast channels (BCs) is defined, which shows duality under ergodic capacity, but duality also holds for different capacity definitions for fading channels such as outage capacity and minimum-rate capacity.
Proceedings ArticleDOI
Orthogonal Time Frequency Space Modulation
Ronny Hadani,Shlomo Selim Rakib,Michail Tsatsanis,Anton Monk,Andrea Goldsmith,Andreas F. Molisch,Robert Calderbank +6 more
TL;DR: Results show that even at very high Dopplers (500 km#x002F;h), OTFS approaches channel capacity through linear scaling of throughput with the MIMO order, whereas the performance of OFDM under typical design parameters breaks down completely.
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Transmitter optimization and optimality of beamforming for multiple antenna systems
Syed A. Jafar,Andrea Goldsmith +1 more
TL;DR: It is found that less channel uncertainty not only increases the system capacity but may also allow this higher capacity to be achieved with scalar codes which involves significantly less complexity in practice than vector coding.