Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks-Reference-Cited by-同舟云学术

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Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2023 - IEEE Conference on Computer Communications
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Author:

Gargari Amir Ashtari¹,Ortiz Andrea²,Pagin Matteo¹,Klein Anja²,Hollick Matthias³,Zorzi Michele¹,Asadi Arash⁴

Affiliation:

1. University of Padova,Department of Information Engineering,Italy

2. TU Darmstadt,Communications Engineering Lab,Germany

3. TU Darmstadt,Secure Mobile Networking Lab (SEEMOO),Germany

4. TU Darmstadt,Wireless Communications and Sensing Lab (WISE),Germany

Funder

EWE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10228851/10228852/10228969.pdf?arnumber=10228969

Reference39 articles.

1. Resource allocation in mmWave 5G IAB networks: A reinforcement learning approach based on column generation

2. NR; Backhaul Adaptation Protocol (BAP) specification,2022

3. Deep Reinforcement Learning-Based Spectrum Allocation in Integrated Access and Backhaul Networks

4. On Integrated Access and Backhaul Networks: Current Status and Potentials

5. Path selection and rate allocation in self-backhauled mmWave networks

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