Mobile-Edge Cloudlet Selection in D2D Relay Networks
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Solution Overview
Problem
Mobile-edge computing (MEC) for device-to-device (D2D) relay networks faces challenges in efficiently managing and processing application service requests, leading to increased latency and loading pressure on core networks.
Innovation Solution
A control method and platform that selects and utilizes relay gateways in a D2D relay network as mobile-edge cloudlets to process application service requests, optimizing service capability and load distribution among relay gateways to reduce latency and alleviate core network pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If traditional centralized cloud server structure is used, then processing ability can be increased by adding hardware equipment, but latency increases and core network loading pressure increases
Solution Approach 1:
The patent segments the centralized cloud computing architecture by deploying distributed cloudlet servers at edge locations (base stations, access points) throughout the network. This segmentation allows processing to occur locally at the network edge rather than requiring all requests to travel to centralized cloud servers, thereby reducing latency while maintaining processing capability through distributed computation resources.
Solution Approach 2:
The patent introduces a new spatial dimension to the computing architecture by adding edge cloudlets at multiple geographic locations across the network infrastructure. This transforms the single-point centralized processing model into a multi-dimensional distributed processing system, where users can access nearby edge cloudlets, significantly reducing the physical distance data must travel and thus reducing latency.
2Power
If traditional centralized cloud server structure is used, then processing ability can be increased by adding hardware equipment, but core network loading pressure increases
Solution Approach 1:
The patent segments the processing load by distributing cloudlet servers across multiple edge locations in the network. This segmentation diverts traffic away from the core network, as users can access and execute applications locally at edge cloudlets without requiring data to traverse the core network infrastructure, thereby reducing core network loading pressure while maintaining processing ability.
Solution Approach 2:
The patent introduces edge cloudlets as intermediary processing nodes between users and the core network. These cloudlets act as mediators that handle application execution and data processing locally, preventing unnecessary traffic from reaching the core network and thus reducing its loading pressure while preserving processing capabilities.
3Loss of time
If MEC is deployed in D2D relay network, then latency is reduced and core network pressure is relieved, but relay gateway selection and load distribution management becomes complex
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors network conditions, user locations, and relay gateway performance metrics. Based on this feedback, the system dynamically adjusts relay gateway selections and load distribution policies, enabling adaptive optimization that reduces latency while managing complexity through data-driven decision-making rather than static complex configurations.
Solution Approach 2:
The patent introduces dynamic relay gateway selection and load distribution mechanisms that adapt to changing network conditions in real-time. Instead of using fixed or static configurations, the system dynamically assigns users to appropriate relay gateways based on current network state, user mobility, and gateway availability, thereby reducing latency while managing complexity through flexibility rather than rigid structure.
Data Source
AI summary
A control method, a network system and a control platform for mobile-edge computing (MEC) are provided. The control method can select at least one of relay gateways in the device-to-device relay network as a mobile-edge cloudlet for a user equipment. An application service program may be performed by the mobile-edge cloudlet, that the user equipment may receive a corresponding response with respect to an application service without accessing to a core network.


