Extremely-Fast, Energy-Efficient Massive MIMO Precoding With Analog RRAM Matrix Computing-Reference-Cited by-同舟云学术

Extremely-Fast, Energy-Efficient Massive MIMO Precoding With Analog RRAM Matrix Computing

Published:2023-07 Issue:7 Volume:70 Page:2335-2339
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Zuo Pushen¹,Sun Zhong¹^ORCID,Huang Ru¹

Affiliation:

1. Institute for Artificial Intelligence, the School of Integrated Circuits, and the Beijing Advanced Innovation Center for Integrated Circuits, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10164655/10044233.pdf?arnumber=10044233

Reference28 articles.

1. Modeling and Mitigating the Interconnect Resistance Issue in Analog RRAM Matrix Computing Circuits

2. Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory Arrays

3. One-step regression and classification with cross-point resistive memory arrays

4. Solving matrix equations in one step with cross-point resistive arrays

5. High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO With Processing-in-Memory

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