On Low-Complexity Lattice Reduction Algorithms for Large-Scale MIMO Detection: The Blessing of Sequential Reduction-Reference-Cited by-同舟云学术

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On Low-Complexity Lattice Reduction Algorithms for Large-Scale MIMO Detection: The Blessing of Sequential Reduction

Published:2020 Issue: Volume:68 Page:257-269
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Lyu Shanxiang^ORCID,Wen Jinming^ORCID,Weng Jian^ORCID,Ling Cong^ORCID

Funder

National Natural Science Foundation of China

Major Program of Guangdong Basic and Applied Research

Natural Science Foundation of Guangdong Province

Fundamental Research Funds for the Central Universities

National Key R&D Plan of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/8933520/08931001.pdf?arnumber=8931001

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reduction of Large Scale Linear Dynamic MIMO Systems Using ACO-PID Controller;Ingeniería e Investigación;2024-02-22

2. Content-Aware Quantization Index Modulation for Physical Layer Steganography;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection;IEEE Transactions on Signal Processing;2022

4. Lattice-Based mmWave Hybrid Beamforming;IEEE Transactions on Communications;2021-07

5. On Solving the Shortest Basis Problem Based on Sequential Reduction;IEEE Communications Letters;2021-05

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