Uplink Grant Pre-allocation Prediction for Wireless Download Optimization
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Solution Overview
Problem
In wireless communication networks, the existing method of uplink grant pre-allocation for web page downloads reduces system capacity unnecessarily, as it reserves resources for all web pages regardless of whether they benefit from the pre-allocation, leading to unsatisfactory user experience due to slow download times.
Innovation Solution
A network node predicts, based on features of the upcoming web page and previously downloaded pages, whether uplink grant pre-allocation will benefit download time, and only reserves resources for pages that will benefit, optimizing system capacity and download time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If uplink grant pre-allocation is activated for all web pages, then download time is reduced, but system capacity is reduced
Solution Approach 1:
The patent applies local quality by differentiating the treatment of web pages based on their specific characteristics. Instead of uniformly applying uplink grant pre-allocation to all web pages, the system analyzes features of individual web pages (such as size, content type, and user equipment capabilities) to determine which pages would benefit from pre-allocation. This selective approach ensures that resources are allocated locally to specific pages that need them, reducing overall download time without unnecessarily reducing system capacity for pages that wouldn't benefit.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the activation of uplink grant pre-allocation based on evaluated parameters of web pages and network conditions. The system changes the operational state (activated or not) of pre-allocation depending on measured features such as web page size, content characteristics, and user equipment performance. This parameter-driven approach optimizes the trade-off between download time reduction and system capacity maintenance by adapting resource allocation to actual needs.
2Duration of action of moving object
If uplink grant pre-allocation is activated, then acknowledge time of TCP is reduced, but total system capacity is reduced
Solution Approach 1:
The patent applies partial action by activating uplink grant pre-allocation only for a subset of web pages that are predicted to benefit from it, rather than for all web pages. The system evaluates specific characteristics of each web page and selectively applies pre-allocation to those where it will most effectively reduce TCP acknowledge time. This partial application ensures that the resource reservation is sufficient to achieve the desired reduction in acknowledge time for relevant pages, while avoiding excessive resource consumption that would unnecessarily reduce total system capacity.
Data Source
AI summary
A method in a network node downloads an upcoming web page to a user equipment. The network node obtains a first value, relating to the upcoming web page, of a set of features. The features represent any one out of: the upcoming web page, the user equipment, and a web browser in the user equipment. The network node predicts whether it is beneficial regarding download time to activate an uplink grant pre-allocation for the user equipment for downloading the upcoming web page. The prediction is based on a relationship between the first value and of a second value of the set of features, which second value is related to a previously downloaded web page, and an evaluation whether it is beneficial regarding download time to activate the uplink grant pre-allocation for the previously downloaded web page. The network node provides the prediction to a base station.