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Computer Science > Information Theory

arXiv:2105.08477 (cs)
[Submitted on 18 May 2021 (v1), last revised 28 Mar 2022 (this version, v2)]

Title:Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces

Authors:Emil Björnson, Luca Sanguinetti
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Abstract:The spectral efficiency of wireless networks can be made nearly infinitely large by deploying many antennas, but the deployment of very many antennas requires new topologies beyond the compact and discrete antenna arrays used by conventional base stations. In this paper, we consider the large intelligent surface scenario where small antennas are deployed on a large and dense two-dimensional grid. Building on the heritage of MIMO, we first analyze the beamwidth and sidelobes when transmitting from large intelligent surfaces. We compare different precoding schemes and determine how to optimize the transmit power with respect to different utility functions.
Comments: Figures 3(a) and (b) were in wrong order in the last version. Originally published at Asilomar SSC 2029, 5 pages, 5 figures
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2105.08477 [cs.IT]
  (or arXiv:2105.08477v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2105.08477
Journal reference: Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, USA, November 2019
Related DOI: https://doi.org/10.1109/IEEECONF44664.2019.9048962

Submission history

From: Emil Björnson [view email]
[v1] Tue, 18 May 2021 12:41:01 UTC (1,458 KB)
[v2] Mon, 28 Mar 2022 06:46:57 UTC (1,458 KB)
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