MEC-Based Resource Allocation for 5G eMBB and URLLC
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Solution Overview
Problem
Current communication and computation resource allocation frameworks for 5G networks, particularly for Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communication (URLLC), face challenges in optimizing energy efficiency, latency, and resource allocation due to limited computational capacity and battery life of IoT devices, as well as differing Quality of Service (QoS) requirements.
Innovation Solution
An energy-efficient communication and computation resource allocation framework is introduced, utilizing a macro base station with a Mobile Edge Computing (MEC) server, which includes an offload determiner, resource block allocator, and computation resource allocator to determine offload bits, allocate communication and computation resources, and puncture resource blocks for URLLC traffic, optimizing energy consumption and data rate for eMBB users while ensuring QoS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If computationally intensive tasks are offloaded to a cloud server through a cellular network, then energy consumption of resource-limited devices is reduced, but delay phenomena are greatly increased
Solution Approach 1:
The patent introduces Mobile Edge Computing (MEC) servers as intermediary computing resources deployed at the edge of the cellular network (at base stations). These MEC servers serve as a middle ground between distant cloud servers and resource-constrained IoT devices, enabling task offloading with reduced latency while maintaining energy efficiency benefits.
Solution Approach 2:
The patent shifts the computing resource dimension from centralized distant cloud servers to distributed edge servers located at multiple base stations throughout the network. This spatial redistribution creates multiple nearby computing destinations, reducing transmission distance and latency while preserving the offloading energy benefits.
2Adaptability or versatility
If multiple communication services (eMBB and URLLC) are scheduled in existing cellular networks, then service diversity is improved, but efficient resource allocation becomes challenging due to different QoS requirements
Solution Approach 1:
The patent segments the resource allocation problem into separate handling for different service types. eMBB services receive guaranteed resource blocks for high throughput, while URLLC services are allocated resources on-demand with priority scheduling. This segmentation allows each service type to be optimized independently according to its specific QoS requirements.
Solution Approach 2:
The patent implements dynamic resource allocation where the base station can flexibly adjust resource block assignments between eMBB and URLLC services based on real-time network conditions and service demands. URLLC traffic can preempt eMBB resources when needed, creating a dynamic allocation system that adapts to varying QoS requirements.
Data Source
AI summary
Disclosed is a technical idea of constructing energy-efficient communication and computation resource allocation framework for Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communication (URLLC) in 5G or higher networks. More particularly, the present disclosure relates to a technology of constructing social block coordinate descent (BCD)-based energy-efficient communication and computation resource allocation framework to address optimization problems related to restriction of eMBB users, reliability of URLLC traffic, and resource block allocation for eMBB user restriction.