List Decoding of Short Codes for Communication over Unknown Fading Channels
Paper i proceeding, 2019

In this paper, the advantages of list decoding for short packet transmission over fading channels with an unknown state are illustrated. The principle is applied to polar codes (under successive cancellation list decoding) and to general short binary linear block codes (under ordered-statistics decoding). The proposed decoders assume neither a-priori knowledge of the channel coefficients, nor of their statistics. The scheme relies on short pilot fields that are used only to derive an initial channel estimate. The channel estimate is required to be accurate enough to enable a good list construction, i.e., the construction of a list that contains, with high probability, the transmitted codeword. The final decision on the message is obtained by applying a list. This allows one to use very few pilots, thus reducing the the Rayleigh block-fading channel and compared to finite-length performance bounds. The proposed technique provides (in the short block length regime) gains of 1 dB with respect to a traditional pilot-aided transmission scheme.

Författare

Marvin Xhemrishi

Technische Universität München

Deutsches Zentrums für Luft- und Raumfahrt (DLR)

Mustafa Cemil Coskun

Technische Universität München

Deutsches Zentrums für Luft- und Raumfahrt (DLR)

Gianluigi Liva

Deutsches Zentrums für Luft- und Raumfahrt (DLR)

Johan Östman

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Giuseppe Durisi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Conference Record - Asilomar Conference on Signals, Systems and Computers

10586393 (ISSN)

Vol. 2019-November 810-814 9048806
9781728143002 (ISBN)

Asilomar Conference on signals, systems, and computers
Pacific Grove, USA,

Teori och praktik för optimal spektral effektivitet i trådlösa ad-hoc nät med strikta krav på latens och tillförlitlighet

Vetenskapsrådet (VR) (2014-2702), 2015-01-01 -- 2019-12-31.

SWIFT : short-packet wireless information theory

Vetenskapsrådet (VR) (2016-03293), 2017-01-01 -- 2020-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Beräkningsmatematik

Signalbehandling

DOI

10.1109/IEEECONF44664.2019.9048806

ISBN

9781728143002

Mer information

Senast uppdaterat

2022-04-06