Cross-Layer Optimization for Wireless Transmission Policies
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Solution Overview
Problem
Existing wireless network optimization techniques focus on throughput maximization, which is not optimal for multimedia applications sensitive to data rate, delay, and packet loss, leading to suboptimal user perceived quality across multiple applications sharing the wireless medium.
Innovation Solution
A cross-layer optimization framework that uses a common metric, such as Mean Opinion Score (MOS), to determine transmission policies for multiple applications, optimizing network and application parameters to maximize user satisfaction by balancing throughput, delay, and packet error rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If throughput maximization is used for optimization, then network capacity is improved, but user perceived quality for multimedia applications deteriorates
Solution Approach 1:
The patent transforms the optimization parameter from throughput (network capacity metric) to user perceived quality (application-specific metric). This is achieved by introducing application-specific evaluation functions that convert transmission data into scores within a common range, allowing different application types to be optimized according to their specific requirements rather than a single throughput metric.
Solution Approach 2:
The patent segments the optimization process by application type. Different transmission data are evaluated in a transmission type specific manner, creating separate evaluation paths for different applications while maintaining a common scoring framework. This allows multimedia applications to be optimized differently from other applications, resolving the contradiction between overall network capacity and application-specific quality.
2Productivity
If resources are allocated to maximize overall network throughput, then network efficiency is improved, but quality of service for individual applications deteriorates
Solution Approach 1:
The patent introduces dynamic resource allocation where transmission policies are determined based on current network conditions and application requirements. The system continuously evaluates transmission data and adjusts resource allocation to maximize the sum of expected scores, allowing quality of service to be dynamically optimized for each application while maintaining overall network efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where transmission policies are determined based on evaluated scores from transmission data. The system uses this feedback to continuously adjust resource allocation, ensuring that quality of service requirements are met while maintaining efficient network operation. The feedback loop allows the system to adapt to changing conditions and prioritize applications accordingly.
Data Source
AI summary
An apparatus for determining transmission policies for a plurality of transmissions of different types based on a first transmission data associated to a first transmission being of a first transmission type, and on a second transmission data associated to a second transmission being of a second transmission type is described, comprising means for obtaining a first score within a common range, said first score being based on an evaluation of said first transmission data in a first transmission type specific manner, means for obtaining a second score within the common range, said second score being based on an evaluation of said second transmission data in a second transmission type specific manner, and means for determining, based on said obtained first and second score, for said first and second transmission a respective first and second transmission policy each defining one or more transmission parameters such that a sum of a first and second expected score is maximized.