Add to ORKGAbstract—Computing the soft LLR values in MMSE receivers of MIMO systems requires a very large complexity. In this paper, we propose a reduced complexity soft MMSE detector for MIMO systems. We use different complexity reductions techniques and propose an architecture based on the new reduced-complexity method. We also compare the complexity and show more than 2x complexity reduction using this method. We present com-plexity/performance tradeoffs to demonstrate the efficacy of our techniques. More importantly, these techniques give the receivers the flexibility to choose how accurately they perform the detection based on the available resources. I
The K-best Schnoff-Euchner (KSE) decoding algorithm is shown to be capable of supporting soft-output...
MIMO detector is the key component of modems used in multi-carrier wireless devices for LTE-A and 5G...
Abstract—The maximum likelihood (ML) detection for multiple-input multiple-output (MIMO) system achi...
Computing the soft LLR values in MMSE receivers of MIMO systems requires a very large complexity. In...
Abstract — For multiple-input multiple-output (MIMO) sys-tems, the optimum maximum likelihood (ML) d...
This paper discusses implementation aspects of arecently proposed fixed-complexity soft-output (FCSO...
Abstract—The theoretic results of MIMO capacity tell us that the higher the number of antennas are e...
In MIMO applications, the minimum mean square error parallel interference cancellation (MMSE-PIC) ba...
We present a hybrid soft detector that has a good performance/complexity trade-off for a multiple-i...
tion is advantageous in its low-complexity while suffering from severe performance degradation. The ...
A pair of salient tradeoffs have driven the MIMO systems developments. More explicitly, the early er...
International audienceThis paper presents a novel architecture of a soft MIMO detector. To our knowl...
Next generation Multiple Input Multiple Output (MIMO) communication systems should meet strict perfo...
In this paper we propose a novel trellis based soft-input soft-output MIMO detector with significant...
In this paper, we propose a low complexity detection scheme for MIMO systems incorporating spatial m...
The K-best Schnoff-Euchner (KSE) decoding algorithm is shown to be capable of supporting soft-output...
MIMO detector is the key component of modems used in multi-carrier wireless devices for LTE-A and 5G...
Abstract—The maximum likelihood (ML) detection for multiple-input multiple-output (MIMO) system achi...
Computing the soft LLR values in MMSE receivers of MIMO systems requires a very large complexity. In...
Abstract — For multiple-input multiple-output (MIMO) sys-tems, the optimum maximum likelihood (ML) d...
This paper discusses implementation aspects of arecently proposed fixed-complexity soft-output (FCSO...
Abstract—The theoretic results of MIMO capacity tell us that the higher the number of antennas are e...
In MIMO applications, the minimum mean square error parallel interference cancellation (MMSE-PIC) ba...
We present a hybrid soft detector that has a good performance/complexity trade-off for a multiple-i...
tion is advantageous in its low-complexity while suffering from severe performance degradation. The ...
A pair of salient tradeoffs have driven the MIMO systems developments. More explicitly, the early er...
International audienceThis paper presents a novel architecture of a soft MIMO detector. To our knowl...
Next generation Multiple Input Multiple Output (MIMO) communication systems should meet strict perfo...
In this paper we propose a novel trellis based soft-input soft-output MIMO detector with significant...
In this paper, we propose a low complexity detection scheme for MIMO systems incorporating spatial m...
The K-best Schnoff-Euchner (KSE) decoding algorithm is shown to be capable of supporting soft-output...
MIMO detector is the key component of modems used in multi-carrier wireless devices for LTE-A and 5G...
Abstract—The maximum likelihood (ML) detection for multiple-input multiple-output (MIMO) system achi...