Efficient Matrix Polynomial Expansion Detector for Large-Scale MIMO: An Inverse-Transform-Sampling Approach-Reference-Cited by-同舟云学术

Efficient Matrix Polynomial Expansion Detector for Large-Scale MIMO: An Inverse-Transform-Sampling Approach

Published:2023-03 Issue:1 Volume:17 Page:258-269
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Deng Qian¹^ORCID,Liang Xiaopeng¹^ORCID,Ni Qiang²^ORCID,Wu Jinsong³^ORCID

Affiliation:

1. School of Information and Communication Engineering, Hainan University, Haikou, China

2. School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, U.K.

3. School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, China

Funder

Hainan Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Hainan Major Projects

Chile CONICYT FONDECYT Regular

Chile CONICYT FONDEF

Scientific Research Starting Foundation of Hainan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10051137/09808393.pdf?arnumber=9808393

Reference47 articles.

1. Efficient Soft-Output Gauss–Seidel Data Detector for Massive MIMO Systems

2. Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing

3. Low Complexity and Fast Processing Algorithms for V2I Massive MIMO Uplink Detection

4. Random Matrix Theory and Wireless Communications

5. Computationally Efficient Data Detection in Massive MIMO Wireless Systems via Semi-Iterative Method

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