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TIT
1998
90views more  TIT 1998»
13 years 4 months ago
On the Complexity of Decoding Lattices Using the Korkin-Zolotarev Reduced Basis
—Upper and lower bounds are derived for the decoding complexity of a general lattice L. The bounds are in terms of the dimension n and the coding gain of L, and are obtained ba...
Amir H. Banihashemi, Amir K. Khandani
GLOBECOM
2007
IEEE
13 years 11 months ago
Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation
— Sphere decoding (SD) is a low complexity maximum likelihood (ML) detection algorithm, which has been adapted for different linear channels in digital communications. The comple...
Luay Azzam, Ender Ayanoglu
CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 4 months ago
Randomized Lattice Decoding
Sphere decoding achieves maximum-likelihood (ML) performance at the cost of exponential complexity; lattice reduction-aided successive interference cancelation (SIC) significantly...
Shuiyin Liu, Cong Ling, Damien Stehlé
ICC
2007
IEEE
245views Communications» more  ICC 2007»
13 years 11 months ago
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
Feng Liu, Ling-ge Jiang, Chen He
CORR
2010
Springer
88views Education» more  CORR 2010»
13 years 4 months ago
On the Proximity Factors of Lattice Reduction-Aided Decoding
Lattice reduction-aided decoding enables significant complexity saving and near-optimum performance in multi-input multi-output (MIMO) communications. However, its remarkable perfo...
Cong Ling