Beamforming with no instantaneous feedback for mmWave transmission

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Abstract

In this paper we consider statistical beamforming for millimeter wave (mmWave) channels. For a commonly used geometry channel model of uniform planar array (UPA), we show that the average channel Gram matrix can be approximated in a closed form, which allows the statistical beamformer to be computed directly. The sparse nature of the mmWave channel lends itself to statistical beamforming as the optimal beamformer that uses full channel information is typically steered in some spatial frequency determined by the statistics. Simulations are given to show that the performance of the proposed statistical beamformer that needs no instantaneous feedback is comparable to a limited feedback system with 1/8 feedback bits per antenna.

Original languageEnglish
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781509030088
DOIs
StatePublished - 19 Dec 2017
Event18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan
Duration: 3 Jul 20176 Jul 2017

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2017-July

Conference

Conference18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
CountryJapan
CitySapporo
Period3/07/176/07/17

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