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Trellis-Based Receivers for SC-FDMA Transmission over MIMO ISI Channels
2008
2008 IEEE International Conference on Communications
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Simulation results for an LTE scenario demonstrate that the novel receiver yields significant gains compared to MMSE linear equalization in particular for square MIMO systems. ...
A preprocessing stage is necessary for the trellisbased equalizer consisting of a minimum mean-squared error (MMSE) MIMO linear equalizer and a MIMO prediction-error filter, whose design is addressed. ...
MMSE LINEAR EQUALIZATION For low-complexity equalization of SC-FDMA signals, MMSE linear filtering can be applied, cf. e.g. ...
doi:10.1109/icc.2008.849
dblp:conf/icc/GerstackerNODGK08
fatcat:ipfifqc2lragrke4dh5mpeyyfm
Large-MIMO Receiver Based on Linear Regression of MMSE Residual
2013
2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
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To this end we propose a new receiver, called LRR (Linear Regression of MMSE Residual), which improves the MMSE receiver by learning a linear regression model for the error of the MMSE receiver. ...
over MMSE receiver is about 7 dB for a 16 × 16 system; for a 64 × 64 system the gain is about 8.5 dB. ...
In this paper, we present a novel low complexity receiver structure which is suitable for applications where the channel does not vary very fast. ...
doi:10.1109/vtcfall.2013.6692263
dblp:conf/vtc/NagarajaDC13
fatcat:duzknwyqpfgmjlulxginwlwjwq
Low complexity iterative receiver for MIMO-OFDM systems
2007
2007 International Symposium on Intelligent Signal Processing and Communication Systems
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The computationally efficient iterative receiver is investigated for MIMO-OFDM systems with turbo-BLAST (Bell Labs layered space time) structure in this paper. ...
Compared with the conventional receiver based on soft interference cancellation (SC), we proposed a low complexity iterative detection scheme based on partial harddecision cancellation. ...
SIMULATION AND RESULTS
Consider the MIMO systems with
CONCLUSIONS This paper is concerned with low complexity iterative receiver for MIMO-OFDM systems. ...
doi:10.1109/ispacs.2007.4445964
fatcat:zhutrjvxmbecxeualsmjbtl7aq
A Low Complexity Detection Algorithm Based on Alternating Minimization
[article]
2019
arXiv
pre-print
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The proposed algorithm provides a lower complexity compared to the conventional MMSE detection technique, especially when the number of user equipment (UE) antennas is close to the number of base station ...
Simulation results demonstrate the efficacy of the proposed algorithm in the uplink massive MIMO setting for both coded and uncoded cases ...
In this letter we present a novel formulation of a low complexity iterative algorithm based on Alternating Minimization, referred to as AltMin. ...
arXiv:1809.02119v2
fatcat:yqrezbhejjbnzkt2d3paq2ywvy
Low-Complexity MIMO Detection Using Post-Processing SINR Ordering and Partial K-Best Search
2011
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
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Linear detectors such as zero-forcing (ZF) and minimum mean square error (MMSE) require only a small fraction of computational complexity compared to maximum likelihood (ML) detector. ...
In this paper, we propose a novel detection scheme which obtains the initial symbol detection by MMSE detector and then perform symbol ordering by signalto-interference-and-noise ratio (SINR). ...
In this paper, a low-complexity MIMO detection scheme combining MMSE and K-best algorithm is proposed. ...
doi:10.1109/glocom.2011.6134080
dblp:conf/globecom/ChenC11
fatcat:ouijs3teujeaznvak4jzx7dbru
Low-complexity lattice reduction aided detection for generalised spatial modulation
2016
2016 International Symposium on Wireless Communication Systems (ISWCS)
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Lattice reduction (LR) aided linear decoders are known to have much lower complexity while achieving near-optimal bit-error-rate (BER) performance in MIMO V-BLAST systems. ...
mean square error (MMSE) detection. ...
Therefore, the improved novel LR-aided linear decoders are proposed for GSM in this work. ...
doi:10.1109/iswcs.2016.7600910
dblp:conf/iswcs/BaoZXG16
fatcat:jlcdeyxvmbamjlidy5qb4kmfiu
Low complexity soft detection for spatially multiplexed BICM MIMO OFDM system
2009
2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications
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Numerical examples illustrate the performance of proposed algorithm for slow fading 3 × 3 and 4 × 4 complex MIMO channels in comparison to linear and max log MAP detection. ...
We propose a detection algorithm based on a combination of linear and non linear detection techniques. ...
CONCLUSIONS We have presented a novel detection scheme for BICM MIMO OFDM system. ...
doi:10.1109/spawc.2009.5161794
fatcat:7qzz4reyq5hxtbjafkaredmi3e
High-Precision Iterative Preconditioned Gauss–Seidel Detection Algorithm for Massive MIMO Systems
2022
Electronics
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By exploiting the property of massive MIMO systems, we introduce a novel initialization strategy to render a quick start for the proposed algorithm. ...
Moreover, it exhibits identical error performance to that of the linear MMSE with one-order-less complexity. ...
Contributions The main objective of this research is to solve the linear MMSE detection problem for massive MIMO systems using a low-complexity iterative algorithm. ...
doi:10.3390/electronics11223806
fatcat:lqez4zlrirbelcgigyrzodzn2m
A Novel Class of Linear MIMO Detectors with Boosted Communications Performance: Algorithm and VLSI Architecture
2014
2014 IEEE Computer Society Annual Symposium on VLSI
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We introduce a low-complexity algorithm tailored for VLSI implementation, and propose a suitable architecture. ...
This paper introduces a novel class of linear soft-input soft-output detectors with boosted communications performance. ...
CONCLUSIONS A novel class of linear MIMO detectors for BICM-ID systems is introduced. ...
doi:10.1109/isvlsi.2014.16
dblp:conf/isvlsi/AurasLA14
fatcat:g5xs6qdaofa6zn4kusyuuzg6te
MIMO decoding based on stochastic reconstruction from multiple projections
[article]
2009
arXiv
pre-print
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The algorithm is based on reconstruction of the vector from multiple two-dimensional projections. The projections are carefully chosen to provide low computational complexity. ...
the a-posteriori probability distribution for each element in the solution vector. ...
This algorithm, known as MMSE V-BLAST or MMSE-SIC, has the best performance for this family of linear-based algorithms. ...
arXiv:0901.0252v1
fatcat:fqrxodptv5elnewardmyrlxtui
Improving the reliability of receivers for 5G networks
2016
2016 8th International Conference on Communication Systems and Networks (COMSNETS)
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In this paper we propose a novel structure for realizing significantly improved error performances by using existing algorithms as tools. ...
Multiple-input multiple-output (MIMO) systems with a large number of antennas are imperative for future wireless networks. ...
There is a need for improving the error performance of existing low complexity detection algorithms for their usage in large/massive MIMO systems. ...
doi:10.1109/comsnets.2016.7439993
dblp:conf/comsnets/SahC16
fatcat:34uod6eygrgn5gze6jy6aqwp44
A Novel Approximate Message Passing Detection for Massive MIMO 5G System
2023
Computer systems science and engineering
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The evaluation of 5G promises a high quality of service (QoS), a high data rate, low latency, and spectral efficiency, ensuring several applications that will improve the services in every sector. ...
In the proposed article, the Approximation Message Passing (AMP) is implemented and compared with the existing Minimum Mean Square Error (MMSE) and Message Passing Detector (MPD) algorithms. ...
We introduced a novel 5G signal detection algorithm based on the combination of detection schemes. ...
doi:10.32604/csse.2023.033341
fatcat:oysvniddvnfi5pgr3d5zcvsqou
Low-complexity sparse-aware multiuser detection for large-scale MIMO systems
2021
EURASIP Journal on Wireless Communications and Networking
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AbstractSparse-aware (SA) detectors have attracted a lot attention due to its significant performance and low-complexity, in particular for large-scale multiple-input multiple-output (MIMO) systems. ...
In this paper, we propose a novel SA detector, named single-dimensional search-based SA (SDSB-SA) detector, for overdetermined uplink MIMO systems. ...
Similar to the ZF and MMSE detectors, the SA-MMSE detector follows a linear manner guaranteeing low computational complexity. ...
doi:10.1186/s13638-021-01904-8
fatcat:5zyyyojdp5cvxpxipo66yi3axm
Overview of Precoding Techniques for Massive MIMO
2021
IEEE Access
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Unfortunately, the complexity of massive MIMO systems is tremendously increased when a large number of antennas and radio frequency chains (RF) are utilized. ...
Therefore, a plethora of research efforts has been conducted to find the optimal precoding algorithm with lowest complexity. ...
In [132] , a novel low complexity algorithm for the linear precoding in massive MIMO systems based on the CG algorithm with asymmetric G matrix is proposed. ...
doi:10.1109/access.2021.3073325
doaj:1d85efeb80d74e06921cfe2f3841e0ae
fatcat:dpgcetdklrdvvcixqej2rcwbvy
MIMO decoding based on stochastic reconstruction from multiple projections
2009
2009 IEEE International Conference on Acoustics, Speech and Signal Processing
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The algorithm is based on reconstruction of the vector from multiple two-dimensional projections. The projections are carefully chosen to provide low computational complexity. ...
the a-posteriori probability distribution for each element in the solution vector. ...
This algorithm, known as MMSE V-BLAST or MMSE-SIC, has the best performance for this family of linear-based algorithms. ...
doi:10.1109/icassp.2009.4960119
dblp:conf/icassp/LeshemG09
fatcat:cxcbkwnmnfhohmy47djksvtlfu
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