Optimization Servers for Backhaul Data Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for 3G and 4G mobile data capacity has led to a significant increase in backhaul capacity requirements, with conventional methods like deploying more small cells and Femto cells, but these approaches are costly and inefficient, especially as they rely on leased infrastructure and high-bandwidth connections, necessitating a more optimized data transmission solution.
Innovation Solution
A communication system comprising remote and central optimization servers that manage and cache data, perform traffic classification, compression, and protocol optimization to reduce data transfer over backhaul networks, using techniques like caching, pre-fetching, and HTTP acceleration to minimize bandwidth usage while maintaining transparency and core network integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If more small cells and Femto cells are deployed to handle capacity requirements, then network capacity is improved, but backhaul capacity costs and device complexity increase
Solution Approach 1:
The patent implements data caching at the base station before data needs to be transmitted through the backhaul network. Frequently accessed data is stored locally in advance, so when users need this data, it can be served from the local cache rather than requiring backhaul transmission. This preliminary storage action reduces subsequent backhaul bandwidth requirements and supports higher network capacity without proportionally increasing backhaul capacity costs.
Solution Approach 2:
The patent introduces a data cache as an intermediary component between the base station and the core network. This cache acts as a mediator that stores data locally at the base station, allowing data to be served from the cache rather than always traversing the backhaul network. This intermediary structure enables the network to handle higher capacity demands while reducing the actual backhaul bandwidth requirements.
2Ease of manufacture
If Femto cells use existing DSL lines as backhaul, then deployment cost is reduced, but bandwidth optimization is limited and ISP infrastructure is consumed without adequate compensation
Solution Approach 1:
The patent implements data caching at the base station before data needs to be transmitted through the backhaul network. Frequently accessed data is stored locally in advance, so when users need this data, it can be served from the local cache rather than requiring backhaul transmission. This preliminary storage action reduces subsequent backhaul bandwidth requirements and supports higher network capacity without proportionally increasing backhaul capacity costs.
Solution Approach 2:
The patent changes the parameter of data transmission by implementing compression techniques and selective data transmission. The system compresses data before transmission and only transmits necessary data packets, thereby reducing the quantity of data consumed over the DSL backhaul connection. This allows the system to maintain low deployment costs while optimizing bandwidth usage.
3Speed
If backhaul capacity is increased to handle 3G data throughput increases, then data transmission capability is improved, but operational costs increase
Solution Approach 1:
The patent implements data caching at the base station before data needs to be transmitted through the backhaul network. Frequently accessed data is stored locally in advance, so when users need this data, it can be served from the local cache rather than requiring backhaul transmission. This preliminary storage action reduces subsequent backhaul bandwidth requirements and supports higher network capacity without proportionally increasing backhaul capacity costs.
Solution Approach 2:
The patent changes the parameter of data transmission by implementing compression techniques and selective data transmission. The system compresses data before transmission and only transmits necessary data packets, thereby reducing the quantity of data consumed over the DSL backhaul connection. This allows the system to maintain low deployment costs while optimizing bandwidth usage.
Data Source
AI summary
A communication system comprises a remote optimization server and a central optimization server adapted to communicate with each via a backhaul network. The central optimization server communicates with core network elements for data delivery. The servers provide access to local data servers, manage backhaul links, perform data caching, and optimize transmission of data that needs to be back-hauled in order to reduce data transfer via the backhaul network in a manner which is transparent to users and to core network elements. The servers perform compression and protocol optimization. The remote optimization server comprises a HTTP accelerator which uses client and server side optimization functions to retrieve a bundle of resources associated with a request for base HTML, and maintains a set of persistent connections over which all HTTP traffic is carried.


