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The 5G NR network provides for a wide range of service types of content traffic to a large number of wireless connections.
To ensure efficient resource allocation for specific service types, such as video streaming.
A traffic differentiation stage is implemented at the user level.
In this stage isolated content queues from active users into special service queues, enabling specific resource allocation.
To investigate the performance of differentiated resource allocation in a content delivery case, this research paper focuses on the physical and cross-layer resource allocation of the non-standalone 5G NR network.
We will introduce a Pseudo-Inverse-based Traffic Differentiation algorithm in the TD Scheduler stage, which aims to allocate optimal radio resources to real-time and non-real-time services while allocating the remaining resources to background
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IEEE/ICACT20240470 Slide.02
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