Smart MME Signal Path Optimization in LTE Relay Networks
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Solution Overview
Problem
In multi-hop mesh LTE networks, optimizing radio resource usage is challenging due to numerous signal paths with varying characteristics, each requiring different data flow requirements, and network conditions that change over time, making it difficult to balance individual data flow optimization with overall network optimization.
Innovation Solution
A smart Mobility Management Entity (MME) determines optimal signal paths for each data flow based on flow, path, and device characteristics, dynamically controlling routing to balance network and individual flow performance, and reassesses paths in real-time to adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple signal paths are provided in multi-hop mesh LTE networks, then network connectivity and reliability are improved, but network complexity and difficulty of optimization increase
Solution Approach 1:
The patent segments the network optimization problem by treating different signal paths independently. Each path is evaluated and optimized separately based on its characteristics (latency, bandwidth, reliability), allowing the complex multi-path network to be managed through modular path-level decisions rather than monolithic network-wide optimization.
Solution Approach 2:
The patent implements dynamic path selection and optimization that adapts to changing network conditions in real-time. The system continuously monitors path characteristics and adjusts routing decisions dynamically, transforming the static network topology into a dynamically optimized structure that responds to current network state.
2Productivity
If path characteristics are optimized for individual data flows, then data flow performance is improved, but overall network optimization is compromised
Solution Approach 1:
The patent applies local quality optimization by tailoring path selection and characteristics to specific data flow requirements. Different data flows receive customized path assignments based on their individual needs (e.g., latency-sensitive flows get different paths than bandwidth-intensive flows), optimizing local performance without requiring complete network reconfiguration.
Solution Approach 2:
The patent utilizes parameter changes to optimize network performance by adjusting path selection criteria based on varying data flow characteristics. The system changes routing parameters (path choice, QoS parameters) dynamically according to the specific requirements of each data flow, enabling fine-grained optimization without overwhelming network complexity.
3Adaptability or versatility
If real-time path reassessment is implemented, then adaptability to changing conditions is improved, but processing time and computational overhead increase
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor path characteristics and network conditions. This feedback enables real-time detection of degradation or improvement in path performance, triggering reassessment only when necessary and maintaining adaptability while minimizing unnecessary processing cycles.
Solution Approach 2:
The patent employs periodic path reassessment at strategically determined intervals rather than continuous reassessment. The system evaluates paths periodically based on network condition changes, balancing adaptability with processing efficiency by acting only when network state changes require reevaluation.
Data Source
AI summary
A system includes a communication section communicably connected to a network, and configured to receive requests for data flows from user equipment attached to the network. The system may further include a flow path determination section configured to determine, for each data flow requested, an optimal signal path from among a plurality of potential signal paths based on substantially current characteristics of the potential signal paths and on characteristics of the data flow requested. The system may further include a command plane section configured to control routing of each requested data flow in accordance with the optimal signal path determined by the flow path determination section for the respective data.