Mahdi Abbasi
Yazd University
AlgorithmSpectral efficiencyLattice (group)MIMOMimo systemsLow complexityMultiple inputMathematicsLattice reductionMaximum likelihoodWirelessBit error rateDecoding methodsControl theoryTheoretical computer scienceMinimum mean square errorDetector
2Publications
1H-index
3Citations
Publications 2
Newest
May 4, 2014 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Mahdi Abbasi (YU: Yazd University)H-Index: 1
#2Aliakbar Tadaion (YU: Yazd University)H-Index: 13
Last. Saeed Gazor (Queen's University)H-Index: 30
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In this paper we propose an algorithm with reduced complexity for the sphere detection (SD) which is used in multiple input multiple output (MIMO) detection algorithms without any performance degradation. The trade-off between the complexity and the bit error rate is a main challenge in wireless MIMO systems. The maximum likelihood (ML) detector considered as the optimum detector in the literatures. Since the complexity of the naive ML detectors is significantly high, the SD algorithms are propo...
1 CitationsSource
#1Mahdi Abbasi (YU: Yazd University)H-Index: 1
#2Aliakbar Tadaion (YU: Yazd University)H-Index: 13
Last. Mohammad Reza Taban (YU: Yazd University)H-Index: 11
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In this paper, we propose a simple method which may enhance the performance of zero-forcing (ZF) or lattice reduction (LR) algorithm in multiple input multiple output (MIMO) detection. As we know MIMO communication systems increase the spectral efficiency and data reliability. Designing detector for such systems that have low complexity and performance near to optimum have attracted much of attention. Optimum detection due to its complexity is not applicable. Famous suboptimal algorithms are ZF,...
2 CitationsSource