To derive low-complexity multiple-input–multiple-output (MIMO) detectors, we combine two complementary approaches, i.e., lattice reduction (LR) and list within the framework of the successive interference cancellation (SIC)-based detection. It is shown that the performance of the proposed detector, which is called the SIC-based detector with list and LR, can approach that of the maximum-likelihood (ML) detector with a short list length. For example, the signal-to-noise ratio (SNR) loss of the proposed detector, compared with that of the ML detector, is less than 1 dB for a 4 × 4 MIMO system with 16-state quadrature amplitude modulation (QAM) at a bit error rate (BER) of 10^−3 with a list length of 8
The use of digital wireless communication systems has become more\ud and more common during recent y...
Abstract—Lattice-reduction (LR)-aided successive interference cancellation (SIC) is able to achieve ...
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desira...
In order to derive low complexity multiple input multiple output (MIMO) detectors, we combine two ad...
Multiple input multiple output (MIMO) is an important technique of improving the spectral efficiency...
In this letter, we investigated the optimal minimum mean-squared-error (MMSE) based successive inter...
In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) s...
Abstract — In this letter, we investigated the optimal minimum-mean-squared-error (MMSE) based succe...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
As the number of subscribers in wireless networks and their demanding data rate are exponentially in...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
In this paper, we propose low-complexity lattice detection algorithms for successive interference ca...
Large-scale multiple-input multiple-output (LS-MIMO) technology constitutes a foundation for next ge...
Abstract — In this paper, we propose low-complexity lattice detection algorithms for successive inte...
The use of digital wireless communication systems has become more\ud and more common during recent y...
Abstract—Lattice-reduction (LR)-aided successive interference cancellation (SIC) is able to achieve ...
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desira...
In order to derive low complexity multiple input multiple output (MIMO) detectors, we combine two ad...
Multiple input multiple output (MIMO) is an important technique of improving the spectral efficiency...
In this letter, we investigated the optimal minimum mean-squared-error (MMSE) based successive inter...
In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) s...
Abstract — In this letter, we investigated the optimal minimum-mean-squared-error (MMSE) based succe...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
As the number of subscribers in wireless networks and their demanding data rate are exponentially in...
© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
In this paper, we propose low-complexity lattice detection algorithms for successive interference ca...
Large-scale multiple-input multiple-output (LS-MIMO) technology constitutes a foundation for next ge...
Abstract — In this paper, we propose low-complexity lattice detection algorithms for successive inte...
The use of digital wireless communication systems has become more\ud and more common during recent y...
Abstract—Lattice-reduction (LR)-aided successive interference cancellation (SIC) is able to achieve ...
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desira...