Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution

Handle URI:
http://hdl.handle.net/10754/621284
Title:
Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution
Authors:
Alshamary, Haider Ali Jasim; Al-Naffouri, Tareq Y.; Zaib, Alam; Xu, Weiyu
Abstract:
© 2015 IEEE. This paper considers the joint maximum likelihood (ML) channel estimation and data detection problem for massive SIMO (single input multiple output) wireless systems. We propose efficient algorithms achieving the exact ML non-coherent data detection, for both constant-modulus constellations and nonconstant-modulus constellations. Despite a large number of unknown channel coefficients in massive SIMO systems, we show that the expected computational complexity is linear in the number of receive antennas and polynomial in channel coherence time. To the best of our knowledge, our algorithms are the first efficient algorithms to achieve the exact joint ML channel estimation and data detection performance for massive SIMO systems with general constellations. Simulation results show our algorithms achieve considerable performance gains at a low computational complexity.
KAUST Department:
King Abdullah University of Science and Technology, Saudi Arabia
Citation:
Alshamary HAJ, Al-Naffouri T, Zaib A, Xu W (2015) Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution. 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE). Available: http://dx.doi.org/10.1109/DSP-SPE.2015.7369548.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)
Conference/Event name:
IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015
Issue Date:
4-Jan-2016
DOI:
10.1109/DSP-SPE.2015.7369548
Type:
Conference Paper
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorAlshamary, Haider Ali Jasimen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorZaib, Alamen
dc.contributor.authorXu, Weiyuen
dc.date.accessioned2016-11-03T06:56:49Z-
dc.date.available2016-11-03T06:56:49Z-
dc.date.issued2016-01-04en
dc.identifier.citationAlshamary HAJ, Al-Naffouri T, Zaib A, Xu W (2015) Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution. 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE). Available: http://dx.doi.org/10.1109/DSP-SPE.2015.7369548.en
dc.identifier.doi10.1109/DSP-SPE.2015.7369548en
dc.identifier.urihttp://hdl.handle.net/10754/621284-
dc.description.abstract© 2015 IEEE. This paper considers the joint maximum likelihood (ML) channel estimation and data detection problem for massive SIMO (single input multiple output) wireless systems. We propose efficient algorithms achieving the exact ML non-coherent data detection, for both constant-modulus constellations and nonconstant-modulus constellations. Despite a large number of unknown channel coefficients in massive SIMO systems, we show that the expected computational complexity is linear in the number of receive antennas and polynomial in channel coherence time. To the best of our knowledge, our algorithms are the first efficient algorithms to achieve the exact joint ML channel estimation and data detection performance for massive SIMO systems with general constellations. Simulation results show our algorithms achieve considerable performance gains at a low computational complexity.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectMassive SIMO systemsen
dc.subjectMaximum likelihooden
dc.subjectnoncoherent channel estimation and data detectionen
dc.titleOptimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solutionen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology, Saudi Arabiaen
dc.identifier.journal2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)en
dc.conference.date9 August 2015 through 12 August 2015en
dc.conference.nameIEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015en
dc.contributor.institutionUniversity of Iowa, United Statesen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorZaib, Alamen
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