Low-Complexity Implicit Detection for Massive MIMO Using Neumann Series
Author:
Affiliation:
1. School of Information Engineering, Henan University of Science and Technology, Luoyang, Henan, China
2. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
Funder
Key Scientific Research Project in Colleges and Universities of Henan Province of China
Key Technologies R & D Program of Henan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9857756/09770405.pdf?arnumber=9770405
Reference16 articles.
1. High Precision Low Complexity Matrix Inversion Based on Newton Iteration for Data Detection in the Massive MIMO
2. On the matrix inversion approximation based on neumann series in massive MIMO systems
3. An Eigen-Based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems
4. Approximate Expectation Propagation Massive MIMO Detector With Weighted Neumann-Series
5. Low Complexity Iterative MMSE-PIC Detection for Medium-Size Massive MIMO
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