Low-Complexity Breadth-First Search Detection for Large-Scale MIMO Systems
Thanks to its near-optimal performance, breadth-first search detection (BFSD) finds
widespread application in small-scale MIMO systems. However, existing BFSD methods …
widespread application in small-scale MIMO systems. However, existing BFSD methods …
A dominance-based soft-input soft-output MIMO detector with near-optimal performance
Iterative detection-and-decoding for multi-input multi-output (MIMO) communication systems
require a soft-input soft-output (SISO) detection algorithm, which, in the optimal formulation …
require a soft-input soft-output (SISO) detection algorithm, which, in the optimal formulation …
Lattice-reduction-aided sphere decoding for MIMO detection achieving ML performance
J Liu, S Xing, L Shen - IEEE Communications Letters, 2015 - ieeexplore.ieee.org
We propose a lattice-reduction-aided sphere decoding (SD) algorithm for MIMO detection
achieving exact maximum likelihood (ML) detection performance with very low …
achieving exact maximum likelihood (ML) detection performance with very low …
Generalized Likelihood-Ratio Enabled Machine Learning for UE Detection over Grant-free SCMA
In this work, we consider an uplink grant-free sparse coded multiple access (GF-SCMA)
system that superimposes the transmissions from up to J user equipments (UEs) onto K …
system that superimposes the transmissions from up to J user equipments (UEs) onto K …
Low-complexity and low-power MIMO symbol detector for mobile devices with two TX/RX antennas
S Jang, S Lee, Y Jung - Journal of Semiconductor Technology and …, 2015 - dbpia.co.kr
In this paper, a low-complexity and lowpower soft output multiple input multiple output
(MIMO) symbol detector is proposed for mobile devices with two transmit and two receive …
(MIMO) symbol detector is proposed for mobile devices with two transmit and two receive …
Efficient tree-traversal strategy for soft-output MIMO detection based on candidate-set reorganization
An efficient tree-traversal strategy is proposed in this letter to reduce the computational
complexity of soft-output multiple-input multiple-output (MIMO) symbol detection. To …
complexity of soft-output multiple-input multiple-output (MIMO) symbol detection. To …
LTE-A 系统一种降低复杂度的软球形检测算法
张爱平， 王丹， 李小文， 周瑶， 于秀玲 - Study On Optical …, 2015 - opticsjournal.net
摘要软球形译码算法虽然能接近ML (最大似然) 算法的误码性能, 但其计算复杂度很高.
文章提出了一种降低计算复杂度的SSD (软球形译码) 算法, 该算法在QR (正交三角) …
文章提出了一种降低计算复杂度的SSD (软球形译码) 算法, 该算法在QR (正交三角) …
Efficient soft mimo detection algorithms based on differential metrics
WY Chang, MX Chang - 2017 IEEE 85th Vehicular Technology …, 2017 - ieeexplore.ieee.org
The multiple-input multiple-output (MIMO) technology can make full use of spectrum and
increase the communication throughput. In the coded MIMO system, the main challenge of …
increase the communication throughput. In the coded MIMO system, the main challenge of …
運用改良式重複樹狀搜尋策略的低複雜度軟性輸出球狀解碼器
邱榮東， 陳伯寧 - 2013 - ir.lib.nycu.edu.tw
針對MIMO 技術的各種解碼器早己提出, 但是對於如何達到好的複雜度-效能平衡,
目前仍然是個挑戰. 在此篇碩士論文中, 我們提出了改良式的重複樹狀搜索的低複雜度軟性輸出 …
目前仍然是個挑戰. 在此篇碩士論文中, 我們提出了改良式的重複樹狀搜索的低複雜度軟性輸出 …
Maximum likelihood soft-output detection through Sphere Decoding combined with box optimization
VM Garcia-Molla, MA Simarro, FJ Martínez-Zaldívar… - Signal Processing, 2016 - Elsevier
This paper focuses on the improvement of known algorithms for maximum likelihood soft-
output detection. These algorithms usually have large computational complexity, that can be …
output detection. These algorithms usually have large computational complexity, that can be …