MEC-RAW Control for Reliable Wireless Edge Network Paths
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in ensuring reliability and availability, particularly in multi-access edge computing environments, due to varying quality of service requirements and complex network architectures.
Innovation Solution
Implementing advanced wireless communication systems with Multi-access Edge Computing (MEC) capabilities, utilizing New Radio (NR) access technology, and integrating Radio Access Networks (RAN) with Core Networks (CN) to enhance network performance and reliability through enhanced control and management of wireless resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-access edge computing is deployed with complex network architecture, then network capabilities and service diversity are improved, but system complexity and management difficulty increase
Solution Approach 1:
The patent segments the edge computing system into distinct functional components: RAN nodes handle radio access and initial processing, MEC platforms provide local computing and storage resources, and core network functions manage overall coordination. This segmentation allows each component to be optimized independently while maintaining overall system versatility.
Solution Approach 2:
The patent introduces intermediary management entities and standardized interfaces between RAN nodes, MEC platforms, and core network functions. These intermediaries abstract the complexity of multi-vendor, multi-technology environments, enabling diverse network capabilities without proportionally increasing management complexity.
2Reliability
If wireless resource allocation is optimized for high reliability, then service availability improves, but resource allocation complexity and signaling overhead increase
Solution Approach 1:
The patent implements preliminary resource allocation and admission control mechanisms that pre-establish resource reservations and service level agreements before actual service delivery. This allows high reliability services to be guaranteed without real-time complex optimization, reducing signaling overhead during active service.
Solution Approach 2:
The patent dynamically adjusts resource allocation parameters such as bandwidth, power, and time slots based on service requirements and network conditions. By changing these parameters adaptively rather than maintaining fixed complex allocation schemes, the system achieves high reliability with reduced allocation complexity.
Data Source
AI summary
Methods, apparatus, systems, architectures and interfaces for a Multi-access Edge Computing (MEC) host providing a MEC platform, including a reliable and available wireless (RAW) control entity, are provided. A method may include any of: generating MEC application information associated with a MEC-to-RAW request according to information indicating a MEC application; transmitting, to another network entity, the MEC-to-RAW request including the MEC application information; and receiving, from the other network entity, a MEC-to-RAW response including information indicating any of: (1) a wireless communication network path, and (2) RAW control information associated with the wireless communication network path.