Lattice Coding and Decoding for Multiple-Antenna Ergodic Fading Channels

For ergodic fading, a lattice coding and decoding strategy is proposed and its performance is analyzed for the single-input single-output (SISO) and multiple-input multiple-output (MIMO) point-to-point channel as well as the multiple-access channel (MAC), with channel state information available onl...

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Vydané v:IEEE transactions on communications Ročník 65; číslo 5; s. 1873 - 1885
Hlavní autori: Hindy, Ahmed, Nosratinia, Aria
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.05.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Antennas
Codes
Coding
Communication channels
Decoding
Encoding
Equalization
Ergodic capacity
ergodic fading
Fading
lattice codes
Lattices
MIMO
multiple-access channel
Rayleigh channels
Signal to noise ratio
SISO (control systems)
ISSN:0090-6778, 1558-0857
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Shrnutí:For ergodic fading, a lattice coding and decoding strategy is proposed and its performance is analyzed for the single-input single-output (SISO) and multiple-input multiple-output (MIMO) point-to-point channel as well as the multiple-access channel (MAC), with channel state information available only at the receiver (CSIR). At the decoder a novel strategy is proposed consisting of a time-varying equalization matrix followed by decision regions that depend only on channel statistics, not individual realizations. Our encoder has a similar structure to that of Erez and Zamir. For the SISO channel, the gap to capacity is bounded by a constant under a wide range of fading distributions. For the MIMO channel under Rayleigh fading, the rate achieved is within a gap to capacity that does not depend on the signal-to-noise ratio (SNR), and diminishes with the number of receive antennas. The analysis is extended to the K-user MAC where similar results hold. Achieving a small gap to capacity while limiting the use of CSIR to the equalizer highlights the scope for efficient decoder implementations, since decision regions are fixed, i.e., independent of channel realizations.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2017.2665492