LTE Backhaul Optimization via Hybrid Redundancy Elimination
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Solution Overview
Problem
Current backhaul optimization solutions for LTE networks are inefficient due to lack of intelligent operation capabilities, introducing additional nodes as points of failure, and failing to perform header compression, content pre-positioning, and analytics-based content pre-fetching, leading to increased operational and capital costs.
Innovation Solution
Implementing an intelligent LTE Radio Access Network with a hybrid redundancy elimination process that includes content pre-positioning and local analytics, using a centralized cloud radio access network with intelligent remote radio heads and baseband units, and employing Ethernet fronthaul and backhaul communications to reduce data redundancy and optimize content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional backhaul optimization solutions are implemented, then backhaul cost reduction is achieved, but system reliability deteriorates due to introducing additional nodes as points of failure
Solution Approach 1:
The patent merges the backhaul optimization function with existing network infrastructure nodes (eNodeB and core network elements), eliminating the need for separate optimization nodes. This integration approach reduces the number of additional components while maintaining cost reduction benefits through unified processing of data traffic and redundancy elimination.
2Device complexity
If simple bit-level redundancy elimination techniques are used, then implementation complexity is reduced, but functionality deteriorates due to inability to perform header compression, content pre-positioning, and analytics-based content pre-fetching
Solution Approach 1:
The patent implements a universal backhaul optimization mechanism that performs multiple functions including header compression, content pre-positioning, analytics-based content pre-fetching, and redundancy elimination within a single integrated system. This multi-functional approach enables comprehensive data traffic optimization without requiring separate specialized components for each function.
Solution Approach 2:
The patent employs preliminary actions by pre-positioning content in network caches before actual user requests occur, and by performing analytics-based content pre-fetching based on predicted user behavior patterns. This proactive approach reduces actual backhaul traffic by having data ready in advance at optimal network locations.
3Loss of energy
If RAN offload solution is implemented, then backhaul cost is reduced, but quality of service deteriorates due to lack of QoS guarantee on uncontrolled links
Solution Approach 1:
The patent introduces an intermediary optimization mechanism that operates within the controlled backhaul network infrastructure rather than offloading to external uncontrolled links. This intermediary system performs intelligent data processing, redundancy elimination, and traffic management functions that maintain QoS guarantees while reducing backhaul costs through efficient data utilization.
Data Source
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AI summary
A system, a method, a device, and a computer program product for transmission of data between a user device and a server. A first data received from the user device and a second data received from the server are processed. A determination is made whether to store at least a portion of the second data in at least one memory. The stored portion of the second data is provided to the user device in response to receiving the first data.