Edge Server Capability Discovery for Low-Latency UE Offloading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems fail to efficiently select edge computing resources that meet the specific compute requirements of user equipment (UE) due to a lack of capability discovery mechanisms, leading to suboptimal data processing and increased latency.
Innovation Solution
User equipment (UE) communicates key performance indicators to an edge data network, receives parameters of available edge application servers, and selects a server based on these parameters to offload data processing, ensuring resources meet or exceed application requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If UE uses traditional cloud computing resources, then computing capabilities are sufficient, but latency increases and battery life decreases
Solution Approach 1:
The patent introduces a new dimension of edge computing resources distributed along the network edge, moving away from centralized cloud computing. By selecting edge application servers based on geographic proximity and capability parameters, the system creates a multi-dimensional computing architecture that reduces transmission distance and latency while maintaining sufficient computing capabilities.
2Device complexity
If UE selects edge application servers without capability discovery, then device complexity is reduced, but computing resource suitability decreases
Solution Approach 1:
The patent implements preliminary capability discovery where the network provides UE with information about edge application server capabilities before UE needs to select servers. The edge enabler server collects and transmits capability parameters (processing power, memory, storage, latency) in advance, allowing UE to make informed selection decisions without complex real-time discovery processes.
Solution Approach 2:
The edge enabler server acts as an intermediary between edge application servers and UE. It collects capability information from multiple edge servers, standardizes the parameters, and presents them to UE for selection. This intermediary simplifies the selection process for UE while ensuring comprehensive capability information is available.
3Loss of time
If UE processes all data locally, then latency is minimized, but device energy consumption increases
Solution Approach 1:
The patent applies local quality by distributing computing resources to geographic locations close to UEs (edge locations). By selecting edge application servers based on proximity parameters and capability matches, heavy data processing is performed locally at the edge rather than remotely in centralized clouds, reducing both latency and energy consumption compared to local processing.
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
Systems and methods for establishing a connection with an edge application server are provided. A user equipment (UE) in a wireless communication network establishes a connection with an edge application server to offload the data processing of an application executing on the UE to the edge application server. The UE communicates key performance indicators (KPIs) associated with the application to the edge data network. The KPIs indicate the resources that application uses to process the data. In response, the UE receives edge application server parameters from multiple servers in the edge data network that meet or exceed the KPIs. The parameters include compute, graphical compute, memory and storage parameters with various levels of specificity. The UE selects one of the edge application servers to process the data on behalf of the application based on the parameters.