Dynamic Communication Switching for Low-Power XR Offloading
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
XR devices face challenges in achieving lightweight design, power efficiency, and processing complexity due to bulky form factors and limited battery life, which hinder widespread commercialization and usability.
Innovation Solution
Offloading processing tasks from XR devices to companion User Equipment (UE) or gNB, utilizing dynamic communication schemes like MIMO and Tx equalization-based waveforms to optimize performance and power consumption, and minimizing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If processing tasks are performed locally on XR devices, then processing speed and responsiveness are improved, but device complexity and power consumption increase
Solution Approach 1:
The patent extracts complex processing tasks from the XR device and relocates them to a companion device or server. The XR device retains only essential functions for real-time response, while computationally intensive tasks such as rendering, physics simulation, and AI processing are performed externally, thereby reducing device complexity while maintaining processing speed.
Solution Approach 2:
The patent introduces a companion device as an intermediary between the XR device and the processing backend. This mediator handles complex computations and communicates results back to the XR device, allowing the XR device to maintain low complexity while still achieving high processing speeds through the intermediary's capabilities.
2Productivity
If more processing power is integrated into XR devices, then application capability and performance are improved, but battery life deteriorates
Solution Approach 1:
The patent extracts power-intensive processing functions from the XR device battery system and relocates them to an external power source (companion device or server). This allows the XR device to deliver high application capability without proportionally increasing its battery requirements, as the external system provides the additional computational power.
Solution Approach 2:
The patent implements partial processing locally on the XR device for time-critical functions, while offloading less time-sensitive but computationally intensive tasks to the external system. This selective approach ensures that battery life is preserved for essential functions while still achieving high application capability through the combined system.
3Productivity
If dynamic communication scheme switching is implemented, then communication efficiency and power consumption optimization are improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic communication scheme switching that adapts to current channel conditions, data priority, and power state. The system automatically selects from multiple communication modes (e.g., different modulation schemes, coding rates, or transmission protocols) based on real-time conditions, optimizing communication efficiency without requiring manual configuration or complex user intervention.
Solution Approach 2:
The patent enables the communication system to automatically monitor its own performance and self-adjust communication parameters without external control. The system includes built-in mechanisms for evaluating communication quality and autonomously switching between communication schemes, thereby managing system complexity internally while delivering high communication efficiency.
Data Source
AI summary
A device may one or more memories, individually or in combination, having instructions. A device may one or more processors, individually or in combination, configured to execute the instructions and cause the apparatus to: receive a sampled reference signal; and transmit an indication of a communication scheme selected from a plurality of communication schemes based at least in part on the sampled reference signal.


