Sciweavers

28 search results - page 1 / 6
» An Efficient Tree Search for Reduced Complexity Sphere Decod...
Sort
View
GLOBECOM
2008
IEEE
13 years 7 months ago
An Efficient Tree Search for Reduced Complexity Sphere Decoding
The complexity of sphere decoding (SD) has been widely studied due to the importance of this algorithm in obtaining the optimal Maximum Likelihood (ML) performance with lower compl...
Luay Azzam, Ender Ayanoglu
GLOBECOM
2007
IEEE
14 years 1 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
VTC
2007
IEEE
14 years 1 months ago
Fast and Area-Efficient Sphere Decoding Using Look-Ahead Search
— Sphere decoding enables maximum likelihood (ML) detection with fairly low complexity in the MIMO wireless systems, but it takes hundreds cycles at low SNR environment. This pap...
Se-Hyeon Kang, In-Cheol Park
TSP
2008
99views more  TSP 2008»
13 years 7 months ago
Sphere Decoding With a Probabilistic Tree Pruning
In this paper, we present a near ML-achieving sphere decoding algorithm that reduces the number of search operations in the sphere-constrained search. Specifically, by adding a pro...
Byonghyo Shim, Insung Kang
TSP
2010
13 years 2 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...