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A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering. Ericsson Res, Stockholm, Sweden..
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6630-243X
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-3599-5584
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2018 (English)In: 2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS / [ed] Matthews, M B, IEEE , 2018, p. 1800-1804Conference paper, Published paper (Refereed)
Abstract [en]

For spatial modulation (SNI) systems that utilize multiple transmit antennas/patterns with a single radio front-end, we propose a learning approach to predict the average symbol error rate (SER) conditioned on the instantaneous channel state. We show that the predicted SER can he used to lower the average SER over Rayleigh fading channels by selecting the optimal codebook in each transmission instance. Further by exploiting that feedforward artificial neural networks (ANNs) trained with a mean squared error (MSE) criterion estimate the conditional a posteriori probabilities, we maximize the expected rate for each transmission instance and thereby improve the link spectral efficiency.

Place, publisher, year, edition, pages
IEEE , 2018. p. 1800-1804
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-252674ISI: 000467845100317Scopus ID: 2-s2.0-85062983648ISBN: 978-1-5386-9218-9 (print)OAI: oai:DiVA.org:kth-252674DiVA, id: diva2:1319755
Conference
52nd Asilomar Conference on Signals, Systems, and Computers, OCT 28-NOV 01, 2018, Pacific Grove, CA
Note

QC 20190603

Available from: 2019-06-03 Created: 2019-06-03 Last updated: 2019-07-31Bibliographically approved

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Saxena, ViditCavarec, BaptisteJaldén, JoakimBengtsson, Mats

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