Abstract
Slice Differentiator (SD) machine learning techniques are provided herein to efficiently allocate resources to meet Quality of Service (QoS) requirements in 5G wireless networks. This enables adaptive training based optimization of QoS weights for different services.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sheriff, Akram; Salgueiro, Gonzalo; and Patil, Santosh, "EFFICIENTLY ALLOCATING RADIO RESOURCES IN THE DOWNLINK DIRECTION TO MEET QUALITY OF SERVICE REQUIREMENTS OF 5G WIRELESS NETWORKS", Technical Disclosure Commons, (June 26, 2018)
https://www.tdcommons.org/dpubs_series/1283
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