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Paper IDI.6.2
Paper Title Gaussian 1-2-1 Networks with Imperfect Beamforming
Authors Yahya H. Ezzeldin, University of California, Los Angeles, United States; Martina Cardone, University of Minnesota, Twin Cities, United States; Christina Fragouli, University of California, Los Angeles, United States; Giuseppe Caire, Technische Universität Berlin, Germany
Session I.6: Relay Channel
Presentation Lecture
Track Network Information Theory
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract In this work, we study bounds on the capacity of full-duplex Gaussian 1-2-1 networks with imperfect beamforming. In particular, different from the ideal 1-2-1 network model introduced in [1], in this model beamforming patterns result in side-lobe leakage that cannot be perfectly suppressed. The 1-2-1 network model captures the directivity of mmWave network communications, where nodes communicate by pointing main-lobe ``beams'' at each other. We characterize the gap between the approximate capacities of the imperfect and ideal 1-2-1 models for the same channel coefficients and transmit power. We show that, under some conditions, this gap only depends on the number of nodes. Moreover, we evaluate the achievable rate of schemes that treat the resulting side-lobe leakage as noise, and show that they offer suitable solutions for implementation.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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