Codebook Based Two-Time Scale Resource Allocation Design for IRS-Assisted eMBB-URLLC Systems
Author:
Affiliation:
1. Friedrich-Alexander-University Erlangen-Nuremberg,Erlangen,Germany
2. Huawei Technologies German Research Center,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10008390/10008474/10008517.pdf?arnumber=10008517
Reference23 articles.
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4. Codebook design and beam training for extremely large-scale RIS: far-field or near-field?;wei,2021
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1. Resource Allocation for Co-Existence of eMBB and URLLC Services in 6G Wireless Networks: A Survey;IEEE Access;2024
2. Online deep learning based energy efficient optimization for IRS-assisted eMBB and URLLC services;Physical Communication;2023-12
3. Time Slot Allocation for RIS-Assisted Physical Layer Key Generation in OTP;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
4. Intelligent Reflecting Surface-Assisted Uplink NOMA for eMBB and URLLC Coexistence;IEEE Transactions on Vehicular Technology;2023
5. Online Deep Learning Based Energy Efficient Optimization for Irs-Assisted Embb and Urllc Services;2023
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