GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems-Reference-Cited by-同舟云学术

GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems

Published:2022 Issue: Volume:10 Page:70937-70946
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mehlhose Matthias¹^ORCID,Marcus Guillermo²^ORCID,Schaufele Daniel¹,Awan Daniyal Amir¹^ORCID,Binder Nikolaus²,Kasparick Martin¹^ORCID,Cavalcante Renato L. G.¹^ORCID,Stanczak Slawomir¹^ORCID,Keller Alexander²

Affiliation:

1. Department of Wireless Communications and Networks, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), Berlin, Germany

2. NVIDIA, Berlin, Germany

Funder

German Federal Ministry of Education and Research (BMBF, Germany) in the project Open Testbed Berlin - 5G and Beyond

6G Research and Innovation Cluster 6G-RIC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09810242.pdf?arnumber=9810242

Reference22 articles.

1. Robust learning in wireless networks: Efficacy of models and prior knowledge in learning from small sample sets;awan,2021

2. Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

3. Adaptive Projected Subgradient Method for Asymptotic Minimization of Sequence of Nonnegative Convex Functions

4. The foundations of set theoretic estimation

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