Generalised Sphere Decoding for Spatial Modulation

In this paper, Sphere Decoding (SD) algorithms for Spatial Modulation (SM) are developed to reduce the computational complexity of Maximum-Likelihood (ML) detectors. Two SDs specifically designed for SM are proposed and analysed in terms of Bit Error Ratio (BER) and computational complexity. Using M...

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Vydáno v:IEEE transactions on communications Ročník 61; číslo 7; s. 2805 - 2815
Hlavní autoři: Younis, A., Sinanovic, S., Di Renzo, M., Mesleh, R., Haas, H.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Applied sciences
Bit error rate
Coding, codes
Complexity
Computation
Computational complexity
Computer Science
Computer simulation
Decoders
Decoding
Detectors
Exact sciences and technology
Information Theory
Information, signal and communications theory
large scale MIMO
Mathematics
Modulation
Modulation, demodulation
Multiple-input-multiple-output (MIMO) systems
Multiplexing
Receivers
Reduction
Signal and communications theory
spatial modulation (SM)
spatial multiplexing (SMX)
Spectra
sphere decoding (SD)
Studies
Telecommunications and information theory
Transmitting antennas
Performance evaluation
MIMO system
Monte Carlo method
sphere decoding (SD)
large scale MIMO
Bit error rate
Spatial multiplexing
spatial modulation (SM)
Algorithm
Computational complexity
Maximum likelihood decoding
Multiple-input-multiple-output (MIMO) systems
Mathematical analysis
Modulation
Numerical simulation
Maximum likelihood
spatial multiplexing (SMX)
ISSN:0090-6778, 1558-0857
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Popis
Shrnutí:In this paper, Sphere Decoding (SD) algorithms for Spatial Modulation (SM) are developed to reduce the computational complexity of Maximum-Likelihood (ML) detectors. Two SDs specifically designed for SM are proposed and analysed in terms of Bit Error Ratio (BER) and computational complexity. Using Monte Carlo simulations and mathematical analysis, it is shown that by carefully choosing the initial radius the proposed sphere decoder algorithms offer the same BER as ML detection, with a significant reduction in the computational complexity. A tight closed form expression for the BER performance of SM-SD is derived in the paper, along with an algorithm for choosing the initial radius which provides near to optimum performance. Also, it is shown that none of the proposed SDs are always superior to the others, but the best SD to use depends on the target spectral efficiency. The computational complexity trade-off offered by the proposed solutions is studied via analysis and simulation, and is shown to validate our findings. Finally, the performance of SM-SDs are compared to Spatial Multiplexing (SMX) applying ML decoder and applying SD. It is shown that for the same spectral efficiency, SM-SD offers up to 84% reduction in complexity compared to SMX-SD, with up to 1 dB better BER performance than SMX-ML decoder.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2013.061013.120547