Differential data-aided channel estimation for up-link massive SIMO-OFDM

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dc.contributor.author López Morales, Manuel José
dc.contributor.author Chen Hu, Kun
dc.contributor.author García-Armada, Ana
dc.date.accessioned 2020-10-02T07:03:15Z
dc.date.available 2020-10-02T07:03:15Z
dc.date.issued 2020-07-13
dc.identifier.bibliographicCitation IEEE open journal of the communications society, vol. 20, 2020, pp. 976-989
dc.identifier.issn 2644-125X
dc.identifier.uri http://hdl.handle.net/10016/30727
dc.description.abstract Pilot symbol assisted modulation (PSAM) is widely used to obtain the channel state information (CSI) needed for coherent demodulation. It allows the density of pilot symbols to be dynamically chosen depending on the channel conditions. However, the insertion of pilots reduces the spectral efficiency, more severely when the channel is highly time-variant and/or frequency-selective. In these cases a significant amount of pilots is required to properly track the channel variations in both time and frequency dimensions. Alternatively, non-coherent demodulation does not require any CSI for the demodulation independently of the channel conditions. For the particular case of up-link (UL) based on massive single input -multiple output (SIMO) combined with orthogonal frequency division multiplexing (OFDM), we propose to replace the traditional reference signals of PSAM by a new differentially-encoded data stream that can be non-coherently detected. The latter can be demodulated without the knowledge of the CSI and subsequently used for the channel estimation. We denote our proposal as hybrid demodulation scheme (HDS) because it exploits both the benefits of a coherent demodulation scheme (CDS) and a non-coherent demodulation scheme (NCDS) to increase the spectral efficiency. The mean squared error (MSE) of the channel estimation, bit error rate (BER), achieved throughput and complexity are analyzed to highlight the benefits of this differential data-aided channel estimation as compared to other approaches. We show that the channel estimation is almost as good as PSAM, while the BER performance and throughput are improved for different channel conditions with a very small complexity increase.
dc.description.sponsorship This work has received funding from the European Union (EU) Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie ETN TeamUp5G, grant agreement No. 813391, and from the Spanish National Project TERESA-ADA (TEC2017-90093-C3-2-R) (MINECO/AEI/FEDER, UE).
dc.format.extent 14
dc.language.iso eng
dc.publisher IEEE
dc.rights This work is licensed under a Creative Commons Attribution 4.0 License
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Channel estimation
dc.subject.other Differential modulation
dc.subject.other High-mobility
dc.subject.other Massive SIMO
dc.subject.other Non-coherent
dc.title Differential data-aided channel estimation for up-link massive SIMO-OFDM
dc.type article
dc.subject.eciencia Electrónica
dc.identifier.doi https://doi.org/10.1109/OJCOMS.2020.3008634
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/813391-TeamUp5G
dc.relation.projectID Gobierno de España. TEC2017-90093-C3-2-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 976
dc.identifier.publicationlastpage 989
dc.identifier.publicationtitle IEEE open journal of the communications society
dc.identifier.publicationvolume 1
dc.identifier.uxxi AR/0000025796
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.relation.dataset https://doi.org/10.21950/DM47HJ
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