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Joint Multiuser Detection of Multidimensional Constellations over Fading Channels
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-5407-0835
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2017 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 65, no 1, p. 161-172, article id 7723894Article in journal (Refereed) Published
Abstract [en]

We investigate the error performance of multidimensional constellations in the multiple access and broadcast channels. More specifically, we provide closed-form expressions for the pairwise error probability (PEP) of the joint maximum likelihood detection, for multiuser signaling in the presence of additive white Gaussian noise and Rayleigh fading. Arbitrary numbers of users and multidimensional signal sets are assumed, while the provided formula for the PEP is a function of the dimension-wise distances of the multidimensional constellation. Furthermore, a useful upper bound on the average symbol error probability is also obtained through the union bound. The analysis is applied to the sparse code multiple access systems. The analytical results are validated successfully through simulations, and show their importance in the multidimensional constellation design.

Place, publisher, year, edition, pages
IEEE Press, 2017. Vol. 65, no 1, p. 161-172, article id 7723894
Keywords [en]
average symbol error probability (ASEP), broadcast (BC) channels, joint maximum likelihood (ML) detection, Multidimensional constellations, multiple access (MAC) channels, Sparse code multiple access (SCMA), Block codes, Errors, Fading channels, Gaussian noise (electronic), Maximum likelihood, Modulation, Multiuser detection, Probability, Rayleigh fading, Trellis codes, White noise, Additive White Gaussian noise, Joint maximum likelihood, Joint multiuser detection, Multidimensional signals, Multiple access, Pair-wise error probability, Symbol error probabilities (SEP), Error detection
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-201766DOI: 10.1109/TCOMM.2016.2622706ISI: 000394180200013Scopus ID: 2-s2.0-85009837069OAI: oai:DiVA.org:kth-201766DiVA, id: diva2:1075771
Note

QC 20170221

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-11-29Bibliographically approved

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CiteExportLink to record
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  • apa
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