A Multi-Slice Multi-Operator Dynamic Weighted Fair Queuing RAN Scheduling in a Game Theoretic Framework
Author:
Affiliation:
1. University of Versailles & Orange Labs, Versailles, France
2. University of Versailles, Versailles, France
3. Orange Labs, Châtillon, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3479241.3486703
Reference15 articles.
1. Distributed weighted fair queuing in 802.11 wireless LAN
2. End-to-End Slicing as a Service with Computing and Communication Resource Allocation for Multi-Tenant 5G Systems
3. Ramon Ferrús Jordi Pérez-Romero Oriol Sallent Irene Vilà and Ramon Agust'i. 2020. MACHINE LEARNING-ASSISTED CROSS-SLICE RADIO RESOURCE OPTIMIZATION: IMPLEMENTATION FRAMEWORK AND ALGORITHMIC SOLUTION. (2020). Ramon Ferrús Jordi Pérez-Romero Oriol Sallent Irene Vilà and Ramon Agust'i. 2020. MACHINE LEARNING-ASSISTED CROSS-SLICE RADIO RESOURCE OPTIMIZATION: IMPLEMENTATION FRAMEWORK AND ALGORITHMIC SOLUTION. (2020).
4. On 5G Radio Access Network Slicing: Radio Interface Protocol Features and Configuration
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