A MAP-Based Layered Detection Algorithm and Outage Analysis Over MIMO Channels

Efficient symbol detection algorithms carry critical importance for achieving the spatial multiplexing gains promised by multi-input multi-output (MIMO) systems. In this paper, we consider a maximum a posteriori probability (MAP)-based symbol detection algorithm, called M-BLAST, over uncoded quasi-s...

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Vydané v:IEEE transactions on wireless communications Ročník 17; číslo 7; s. 4256 - 4269
Hlavní autori: Yapici, Yavuz, Guvenc, Ismail, Kakishima, Yuichi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.07.2018
Predmet:
Detection algorithms
Heuristic algorithms
M-BLAST
massive MIMO
MIMO communication
mm-wave systems
outage probability
Receivers
Rician fading
Signal to noise ratio
Silicon carbide
successive interference cancellation
Transmitting antennas
V-BLAST
ISSN:1536-1276, 1558-2248
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Popis
Shrnutí:Efficient symbol detection algorithms carry critical importance for achieving the spatial multiplexing gains promised by multi-input multi-output (MIMO) systems. In this paper, we consider a maximum a posteriori probability (MAP)-based symbol detection algorithm, called M-BLAST, over uncoded quasi-static MIMO channels. Relying on the successive interference cancellation (SIC) receiver, the M-BLAST algorithm offers a superior error performance over its predecessor V-BLAST with a signal-to-noise ratio (SNR) gain of as large as 2 dB under various settings of recent interest. Performance analysis of the M-BLAST algorithm is very complicated since the proposed detection order depends on the decision errors dynamically, which makes an already complex analysis of the conventional ordered SIC receivers even more difficult. To this end, a rigorous analytical framework is proposed to analyze the outage behavior of the M-BLAST algorithm over binary complex alphabets and two transmitting antennas, which has a potential to be generalized to multiple transmitting antennas and multidimensional constellation sets. The numerical results show a very good match between the analytical and simulation data under various SNR values and modulation alphabets.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2018.2821687