Radio Resource Scheduling Using User Physiological Feedback
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Solution Overview
Problem
Existing radio resource allocation algorithms in communications networks fail to account for human user behavior and mental state, leading to inefficient resource allocation for user-centric applications like virtual reality and immersive gaming.
Innovation Solution
Implement an AI-assisted brain-aware resource management process that considers physiological parameters of users, such as heart rate and alertness, to schedule resources based on the user's perception of quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional radio resource allocation algorithms are used, then network resources are allocated based on channel and network conditions, but resources are wasted by allocating more resources to users who cannot perceive the associated QoS gains due to cognitive brain limitations
Solution Approach 1:
The patent changes the parameters considered in resource allocation from purely network-centric parameters (channel state, QoS requirements) to include user-centric parameters (physiological state, cognitive brain limitations). This allows the system to adapt resource allocation to the user's actual perception capabilities, reducing waste by allocating resources based on what the user can actually perceive rather than what the network can provide.
2Productivity
If more resources are allocated to users, then network capacity is utilized, but energy is wasted when users cannot perceive the additional QoS improvements
Solution Approach 1:
The patent introduces feedback mechanisms that incorporate user physiological state information into the resource allocation loop. By continuously monitoring user cognitive state and adjusting resource allocation accordingly, the system ensures resources are allocated only when they will be perceived by the user, thereby improving energy efficiency while maintaining effective network utilization.
3Productivity
If user physiological parameters are obtained and used for resource scheduling, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces intermediary components (sensors, processors, communication modules) that bridge the gap between user physiological state and network resource allocation. These intermediaries simplify the overall system by providing standardized interfaces and processing layers that handle the complexity of physiological parameter integration, making the system manageable while still achieving improved resource allocation efficiency.
Data Source
AI summary
A computer implemented method in a node of a communications network for scheduling radio resources to a user equipment, UE, in order to provide a service to a user of the UE. The method includes obtaining one or more physiological parameters of the user of the UE. The method further includes scheduling resources to the UE, based on the one or more physiological parameters, so as to provide the service to the UE with a predetermined quality of experience, as perceived by the user.


