In this paper two complexity efficient soft sphere-decoder modifications are proposed for computing the max-log LLR values in iterative MIMO systems, which avoid the costly, typically needed, full enumeration and sorting (FES) procedure during the tree traversal without compromising the max-log performance. It is shown that despite the resulting increase in the number of expanded nodes, they can be more computationally efficient than the typical soft sphere decoders by avoiding the unnecessary complexity of FES
The complex sphere decoding algorithm has optimal bit error ratio performance for uncoded multiple-i...
In sphere decoding techniques, it was seen that the generalized sphere decoder algorithms have been ...
Inmany communication applications, maximum-likelihood decoding reduces to solving an integer least-s...
In this paper two complexity efficient soft sphere-decoder modifications are proposed for computing ...
In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing i...
Abstract—Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. T...
AbstractSoft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. Th...
AbstractIt has been shown in recent years that the iterative decoding techniques, improve performanc...
International audienceTo reduce the decoding complexity of linearly precoded MIMO systems, the spher...
In practical multiple-input multiple-output bit-interleaved-coded-modulation (MIMO-BICM) systems, de...
Abstract—Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a...
Pohst and Schnorr-Euchner (SE) are two popular sphere decoders (SD) to perform near maximum likeliho...
The sphere decoder (SD) is an attractive low-complexity alternative to maximum likelihood (ML) detec...
Abstract—In recent years, soft iterative decoding techniques have been shown to greatly improve the ...
We propose an algorithm that reduces the complexity of the K-best sphere decoding (K-best SD) algori...
The complex sphere decoding algorithm has optimal bit error ratio performance for uncoded multiple-i...
In sphere decoding techniques, it was seen that the generalized sphere decoder algorithms have been ...
Inmany communication applications, maximum-likelihood decoding reduces to solving an integer least-s...
In this paper two complexity efficient soft sphere-decoder modifications are proposed for computing ...
In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing i...
Abstract—Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. T...
AbstractSoft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. Th...
AbstractIt has been shown in recent years that the iterative decoding techniques, improve performanc...
International audienceTo reduce the decoding complexity of linearly precoded MIMO systems, the spher...
In practical multiple-input multiple-output bit-interleaved-coded-modulation (MIMO-BICM) systems, de...
Abstract—Multiple-input multiple-output (MIMO) detection algorithms providing soft information for a...
Pohst and Schnorr-Euchner (SE) are two popular sphere decoders (SD) to perform near maximum likeliho...
The sphere decoder (SD) is an attractive low-complexity alternative to maximum likelihood (ML) detec...
Abstract—In recent years, soft iterative decoding techniques have been shown to greatly improve the ...
We propose an algorithm that reduces the complexity of the K-best sphere decoding (K-best SD) algori...
The complex sphere decoding algorithm has optimal bit error ratio performance for uncoded multiple-i...
In sphere decoding techniques, it was seen that the generalized sphere decoder algorithms have been ...
Inmany communication applications, maximum-likelihood decoding reduces to solving an integer least-s...