On-the-Fly Large-Scale Channel-Gain Estimation for Massive Antenna-Array Base Stations

We propose a novel scheme for estimating the large- scale gains of the channels between user terminals (UTs) and base stations (BSs) in a cellular system. The scheme leverages TDD operation, uplink (UL) training by means of properly designed non-orthogonal pilot codes, and massive antenna arrays at...

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Bibliographic Details
Published in2018 IEEE International Conference on Communications (ICC) pp. 1 - 6
Main Authors Wang, Chenwei, Bursalioglu, Ozgun Y., Papadopoulos, Haralabos, Caire, Giuseppe
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
Subjects
Antenna arrays
Channel estimation
Estimation
Interference
MIMO communication
OFDM
Training
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ISSN1938-1883
DOI10.1109/ICC.2018.8422419

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Summary:We propose a novel scheme for estimating the large- scale gains of the channels between user terminals (UTs) and base stations (BSs) in a cellular system. The scheme leverages TDD operation, uplink (UL) training by means of properly designed non-orthogonal pilot codes, and massive antenna arrays at the BSs. Subject to Q resource elements allocated for UL training and using the new scheme, a BS is able to estimate the large- scale channel gains of K users transmitting UL pilots in its cell and in nearby cells, provided K <=Q^2. Such knowledge of the large-scale channel gains of nearby out-of-cells users can be exploited at the BS to mitigate interference to the out-of-cell users that experience the highest levels of interference from the BS. We investigate the large-scale gain estimation performance provided by a variety of non-orthogonal pilot codebook designs. Our simulations suggest that among all the code designs considered, Grassmannian line-packing type codes yield the best large-scale channel gain estimation performance.
ISSN:1938-1883
DOI:10.1109/ICC.2018.8422419