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Finite Lattice-Size Effects in MIMO Detection
2008
arXiv
pre-print
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Detection in MIMO systems is, however, based on finite lattices. ...
In this paper, we systematically study the consequences of finite lattice-size for the performance and complexity of MIMO detection algorithms formulated for infinite lattices. ...
The goal of this paper is to investigate the fundamental differences, in terms of complexity and performance, between MIMO detection on finite and on infinite lattices. ...
arXiv:0811.4339v1
fatcat:xliwkeugfvfw7gwxfvvasb74fa
Lattice reduction aided belief propagation for massive MIMO detection
2018
Science China Information Sciences
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In this paper, lattice reduction aided belief propagation (LRA-BP) is proposed for massive MIMO detection. ...
Better detection performance by combining lattice reduction with MMSE and SD are reported in [21, 22] . Its application in massive MIMO has been proposed [23] . ...
Conclusion In this paper, lattice reduction aided belief propagation (LRA-BP) is proposed for massive MIMO detection. ...
doi:10.1007/s11432-018-9637-5
fatcat:et6wlwlcvvew3bkmjz525a5pja
MIMO Systems With Low-Resolution ADCs: Linear Coding Approach
[article]
2016
arXiv
pre-print
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In this system, the paper presents a new MIMO detection approach using coding theory. ...
After transforming to the linear MIMO channel with the sets of finite input and output elements, efficient MIMO detection methods are proposed to attain both diversity and multiplexing gains by using algebraic ...
FINITE-FIELD MIMO CHANNEL: N r > N t In this section, we present a method to attain both multiplexing and diversity gains in a finite-field MIMO system. ...
arXiv:1610.07789v1
fatcat:uecfpykpunaknpecsdrrqjhixm
Effective LLL Reduction for Lattice Decoding
2007
2007 IEEE International Symposium on Information Theory
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The use of Lenstra-Lenstra-Lovasz (LLL) lattice reduction significantly improves the performance of zero-forcing (ZF) and successive interference cancellation (SIC) decoders in multi-input multi-output ...
(MIMO) communications. ...
This, however, leads to the detrimental effect of noise amplification. The effect can be alleviated by using SIC (also known as decision-feedback detection). ...
doi:10.1109/isit.2007.4557226
dblp:conf/isit/0001H07
fatcat:6t65uziwcffwpb37dpxderuju4
An Improved Soft Decision Based MIMO Detection Using Lattice Reduction
2014
International Journal of Computer and Communication Engineering
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This paper presents a performance analysis of soft decision based Lattice Reduction (LR) aided Schnorr-Euchner (SE) multiple-input-multiple-output (MIMO) detection algorithm with that of a hard one. ...
Index Terms-MIMO, soft decoding, lattice reduction, and k-best detector. ...
This MIMO detection problem is also known as closest point problem in [14] that represents a search through the set of all possible lattice points. ...
doi:10.7763/ijcce.2014.v3.333
fatcat:hutbfzghcbcg7bihrtydcwzfoi
Augmented Lattice Reduction for MIMO Decoding
2010
IEEE Transactions on Wireless Communications
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A different approach, introduced by Kim and Park, allows to combine right preprocessing and detection in a single step by performing lattice reduction on an "augmented channel matrix". ...
multiple-output (MIMO) communications. ...
We also would like to thank the three anonymous reviewers for their valuable suggestions and comments that helped to improve the quality of this paper, in particular concerning the complexity analysis. ...
doi:10.1109/twc.2010.072210.100023
fatcat:4eys7njuhzawrj7y27jye4sz4i
On the diversity of the Naive Lattice Decoder
2011
International Workshop on Systems, Signal Processing and their Applications, WOSSPA
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In this paper, we consider MIMO systems using high-dimensional perfect space-time codes. ...
Naive Lattice Decoding" (NLD) and its lowcomplexity approximations such as lattice reduction-aided linear decoders represent an alternative to Maximum Likelihood lattice decoders for MIMO systems. ...
LATTICE DECODING AND ML DETECTION IN MIMO SYSTEMS From the expression of the received signal given in (4) , we conclude that the latter can be viewed as a point of the lattice generated by M perturbed ...
doi:10.1109/wosspa.2011.5931516
fatcat:kxkfugrscbh2xh2r23awztfywy
Mimo Communication System At A Glance
2012
IOSR Journal of Electronics and Communication Engineering
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This paper presents an overview of a MIMO communication system. ...
of diversity and hence improving the robustness of the communication link and the most commonly used detection techniques used to extract the correct information from the received signal reducing the ...
III.DETECTION The aim here is to detect s in the Maximum Likelihood Sense (ML), which can be written mathematically as = min ∈ − 2 (2) Here the elements of s, say , belong to a finite alphabet S of size ...
doi:10.9790/2834-0111217
fatcat:rsftgnmd7vccvkjit5cdcg3oxm
Complex lattice reduction algorithms for low-complexity MIMO detection
2005
GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.
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Recently, lattice-reduction-aided detectors have been proposed for multiple-input multiple-output (MIMO) systems to give performance with full diversity like maximum likelihood receiver, and yet with complexity ...
However, these lattice-reduction-aided detectors are based on the traditional LLL reduction algorithm that was originally introduced for reducing real lattice bases, in spite of the fact that the channel ...
If the boundary effects are ignored, the minimum distance of ML detection is obviously d ML = λ(Λ), where λ(Λ) denotes the length of the shortest vector in Λ. ...
doi:10.1109/glocom.2005.1578299
dblp:conf/globecom/GanM05
fatcat:jeyfh2bjpnfc3djc4tjyqihyia
Complex Lattice Reduction Algorithm for Low-Complexity MIMO Detection
[article]
2006
arXiv
pre-print
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Recently, lattice-reduction-aided detectors have been proposed for multiple-input multiple-output (MIMO) systems to give performance with full diversity like maximum likelihood receiver, and yet with complexity ...
However, these lattice-reduction-aided detectors are based on the traditional LLL reduction algorithm that was originally introduced for reducing real lattice bases, in spite of the fact that the channel ...
If the boundary effects are ignored, the minimum distance of ML detection is obviously d ML = λ(Λ), where λ(Λ) denotes the length of the shortest vector in Λ. ...
arXiv:cs/0607078v1
fatcat:r4vzttmwbng3bbazla65x74xpu
A Digital Signal Processing Architecture for Soft-Output MIMO Lattice Reduction Aided Detection
[chapter]
2013
Design and Architectures for Digital Signal Processing
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We then show how hard-output lattice-based detection can be used in conjunction with commonly used linear MIMO detectors in Section 4. ...
In this chapter, we present what is believed to be the first digital signal processing (DSP) implementation of a soft-output lattice reduction aided MIMO detector, based on an approach to MIMO detection ...
doi:10.5772/51649
fatcat:pxrytryz3ncd3ddkg4ckitwopa
Spatial Lattice Modulation for MIMO Systems
2018
IEEE Transactions on Signal Processing
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2018 pre-print arXiv:1801.02894v1 fatcat:66kgoxk7tvftrl5p6lx4masjri
To reduce detection complexity, a low-complexity detection method for SLM, which is referred to as lattice sphere decoding, is developed by exploiting lattice theory. ...
This paper proposes spatial lattice modulation (SLM), a spatial modulation method for multipleinput-multiple-output (MIMO) systems. ...
In other words, the effective search space of LSD is reduced by 17%, 4% of ML detection. ...
doi:10.1109/tsp.2018.2827325
fatcat:fiopgpo6bnajleobx6uf2e24im
Improved MIMO detection based on successive tree approximations
2013
2013 IEEE International Symposium on Information Theory
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The significantly improved MIMO decoding performance of the algorithm proposed here compared to lattice-reduction aided MMSE-SIC is demonstrated on several examples of large MIMO systems with high-order ...
This paper proposes an efficient high-performance detection algorithm for MIMO communication systems that is based on a sequence of optimal tree approximations of the Gaussian density of the unconstrained ...
To summarize, we showed that our approach is more suitable to MIMO detection than the state-of-the-art lattice reduction aided algorithms. ...
doi:10.1109/isit.2013.6620577
dblp:conf/isit/Goldberger13
fatcat:fzcpy7toere4hny73x7xaugxw4
FRFD MIMO Systems: Precoded V-BLAST with Limited Feedback Versus Non-orthogonal STBC MIMO
[article]
2009
arXiv
pre-print
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Full-rate (FR) and full-diversity (FD) are attractive features in MIMO systems. We refer to systems which achieve both FR and FD simultaneously as FRFD systems. ...
scheme), and ii) comparing the performances of the FRFD-VBLAST-LFB scheme and non-orthogonal STBCs without feedback (e.g., Golden code, perfect codes) under ML decoding, we show that in 2× 2 MIMO system ...
To define a finite set precoder, we select a finite subset of size N = 2 B from ζ ∞ (U Nt (θ)), where B is the number of feedback bits. ...
arXiv:0901.2768v1
fatcat:orhgpzyuj5ah3lroocgp3nav7i
Hybrid Vector Perturbation Precoding: The Blessing of Approximate Message Passing
2019
IEEE Transactions on Signal Processing
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Lastly, the hybrid scheme is also proved effective when solving the data detection problem of massive MIMO systems without using LR. ...
In this work, we introduce a hybrid framework to improve the performance of lattice reduction (LR) aided precoding in VP. ...
Lastly, we have also demonstrated that the hybrid scheme can be extended to data detection in massive MIMO without using lattice reduction. ...
doi:10.1109/tsp.2018.2877205
fatcat:flqedy4dfnejfmispxdaqatg5y
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