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Joint Multiuser Detection of Multidimensional Constellations over Fading Channels

Bao, J. (author)
Ma, Z. (author)
Karagiannidis, G. K. (author)
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Xiao, Ming (author)
KTH,Kommunikationsteori
Zhu, Z. (author)
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 (creator_code:org_t)
IEEE Press, 2017
2017
English.
In: IEEE Transactions on Communications. - : IEEE Press. - 0090-6778 .- 1558-0857. ; 65:1, s. 161-172
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)
art (subject category)

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By the author/editor
Bao, J.
Ma, Z.
Karagiannidis, G ...
Xiao, Ming
Zhu, Z.
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
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IEEE Transaction ...
By the university
Royal Institute of Technology

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