Downlink Massive MU-MIMO With Successively-Regularized Zero Forcing Precoding
Author:
Affiliation:
1. Institute for Digital Communications, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Funder
Federal Ministry of Education and Research of Germany in the Programme of “Souverän. Digital. Vernetzt.” Joint Project 6G-RIC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10008400/09933826.pdf?arnumber=9933826
Reference15 articles.
1. A Generalized Zero-Forcing Precoder With Successive Dirty-Paper Coding in MISO Broadcast Channels
2. On the Performance of the MIMO Zero-Forcing Receiver in the Presence of Channel Estimation Error
3. Single-User Versus Multi-User Precoding for Millimeter Wave MIMO Systems
4. Matrix inversion using Cholesky decomposition;krishnamoorthy;Proc IEEE Signal Algorithms Archit Arrangements Appl (SPA) Conf,2013
5. The MIMO Iterative Waterfilling Algorithm
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