DL Reference Signal Quantization for XR TX Pre-Equalization
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Solution Overview
Problem
Existing XR devices face challenges in achieving lightweight, low-power consumption, and reduced processing complexity to support demanding XR applications due to high power consumption in modem-related operations and limited battery life, which are not adequately addressed by current split XR approaches.
Innovation Solution
Implementing prediction-based frequency domain quantizers for DL RS samples indication to support transmit pre-equalization, shifting channel estimation and equalization complexity to a companion device, and employing low-complexity CSI refresh procedures with efficient DL RS sampling and quantization to reduce modem power consumption and enable low UL overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If current split XR approaches are used, then some processing is distributed, but modem power consumption remains high and battery life is not sufficiently extended
Solution Approach 1:
The patent extracts channel estimation and equalization operations from the XR device modem to a companion device. The XR device only performs lightweight reference signal sampling and quantization, while the companion device handles the computationally intensive channel processing. This extraction dramatically reduces modem power consumption in the XR device while extending effective battery life for XR operations.
Solution Approach 2:
The patent segments the XR system into two functional parts: a lightweight XR device that performs only essential sampling and quantization, and a companion device that handles complex channel estimation and equalization. This segmentation allows the XR device to operate with minimal power consumption while the companion device provides the necessary processing capabilities.
2Measurement precision
If traditional channel estimation methods are used in XR devices, then accurate channel information can be obtained, but processing complexity and power consumption increase significantly
Solution Approach 1:
The patent applies preliminary action by having the XR device perform quantization on reference signal samples before transmission to the companion device. This pre-processing step prepares the data in an optimized format that enables accurate channel estimation at the companion device while minimizing the computational burden on the XR device. The quantized samples contain sufficient information for accurate channel reconstruction without requiring complex processing at the XR device.
Data Source
AI summary
A prediction based frequency domain quantizer for DL reference signal samples indication to support transmit pre-equalization is described. An apparatus is configured to predictively quantize a DL reference signal based on a prior sample of the DL reference signal. The apparatus is configured to provide, for a UE, a quantized representation of the DL reference signal and a set of controlled parameters. The apparatus is configured to receive, from the UE, pre-equalized data in accordance with a channel estimation associated with a reconstructed representation of the DL reference signal after quantization.