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CORR
2006
Springer
152views Education» more  CORR 2006»
14 years 10 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz
73
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Latency-constrained low-complexity lattice reduction for MIMO-OFDM systems
Recent studies have investigated lattice-reduction (LR) preprocessing technique for multiple-inputmultiple-output (MIMO) detection. However, if LR is applied to the orthogonalfreq...
Chun-Fu Liao, Fang-Chun Lan, Yuan-Hao Huang, Po-Li...
77
Voted
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 4 months ago
A particle swarm algorithm for symbols detection in wideband spatial multiplexing systems
This paper explores the application of the particle swarm algorithm for a NP-hard problem in the area of wireless communications. The specific problem is of detecting symbols in a...
Adnan Ahmed Khan, Muhammad Naeem, Syed Ismail Shah
TSP
2008
86views more  TSP 2008»
14 years 10 months ago
Fixed-Complexity Soft MIMO Detection via Partial Marginalization
Abstract--This paper presents a new approach to soft demodulation for MIMO channels. The proposed method is an approximation to the exact a posteriori probability-per-bit computer....
Erik G. Larsson, Joakim Jalden
82
Voted
ICC
2009
IEEE
151views Communications» more  ICC 2009»
15 years 5 months ago
Improved Vector Perturbation with Modulo Loss Reduction for Multiuser Downlink Systems
— In this paper, we present an improved precoding technique which reduces a modulo loss in vector perturbation (VP) with low complexity for the downlink of a multiuser multiple-i...
Hyeon-Seung Han, Seokhwan Park, Inkyu Lee