Co-Scheduling of Radio and Computing Resources for Resource-Efficient Latency Guarantee in 6G.

Sunghyun Jin,Serae Kim,Kyunghan Lee

IEEE International Conference on Cloud Networking(2023)

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摘要
Next-generation cellular networks promise to deliver immersive experiences to mobile users by seamlessly blending the virtual and physical worlds with their on-premises computing capabilities, namely connected computing capability. Critical to this promise is keeping service latency over the network consistent and low. While tremendous efforts have been made to reduce latency in networking and computing separately using various techniques such as network slicing, resource reservation, prioritization, and computation acceleration, we find that this disjointed latency management introduces non-negligible resource inefficiencies in both networking and computing, which are expected to worsen as services become more time-critical and their quality demands become heterogeneous. To address this issue, in this work, we propose a reference connected computing service model that can accommodate a variety of immersive services, and analyze how the latency components therein are intertwined. Finally, we propose a joint resource orchestration framework that can trade network resources for computing resources to minimize the total cost of operation.
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关键词
Computational Resources,Radio Resource,Physical World,Network Slicing,Data Rate,Mobile Devices,Processing Unit,Graphics Processing Unit,Point Cloud,Time Slot,Central Unit,Channel Information,Resource Efficiency,Resource Usage,Service Requirements,Exact Size,Output Size,Edge Server,Heavy Computation,Channel Quality,Computation Latency,Mobile Edge Computing,Computing Nodes,Data Rate Requirements,Transmission Time Interval,Deep Neural Network,Computation Tasks,Cooperative Framework,Traditional Services,Floating-point Operations
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