2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
| Paper ID | I.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. | ||
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
