Wireless Control Parameter Feedback for Power-Adaptive Resource Allocation
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing control information parameters, particularly in scenarios requiring power-efficient resource allocation for latency-sensitive applications like extended reality (XR) and energy harvesting devices, where blind decoding and resource allocation are power-consuming and inefficient.
Innovation Solution
A device in the wireless communication system, such as a UE, can receive control information and send a response to modify parameters like MCS, RB allocation, and antenna ports based on its power-related parameters, such as charging rate or energy storage state, to adapt resource allocation for more efficient power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If blind decoding and resource allocation are used for control information, then resource allocation flexibility is improved, but power consumption increases
Solution Approach 1:
The network node pre-configures multiple parameter sets for periodic resources (including MCS, RB allocation, antenna ports) before transmission. The UE can directly select from these pre-configured sets based on power-related parameters, eliminating the need for blind decoding and reducing power consumption while maintaining allocation flexibility.
Solution Approach 2:
The UE sends feedback indicating its power-related parameters (charging rate, energy storage state) to the network node. Based on this feedback, the network node appropriately modifies the periodic resource parameters and notifies the UE, enabling adaptive resource allocation without blind decoding.
2Device complexity
If periodic resources are allocated with fixed parameters, then device complexity is reduced, but adaptability to power conditions deteriorates
Solution Approach 1:
The patent introduces dynamic modification of periodic resource parameters based on power-related conditions. While the base configuration remains static (reducing complexity), the parameters can be dynamically adjusted through network node modifications triggered by UE feedback about charging rate or energy storage state, achieving adaptability without significant complexity increase.
Solution Approach 2:
The patent enables parameter changes for periodic resources (MCS, RB allocation, antenna ports) based on power-related parameters. The network node stores multiple parameter sets and selects/appropriately modifies them based on UE feedback, allowing the system to adapt to different power conditions while maintaining manageable device complexity.
3Use of energy by moving object
If control information parameters are modified based on power parameters, then power efficiency is improved, but control signaling overhead increases
Solution Approach 1:
Instead of continuously exchanging control information, the UE sends power parameter feedback only when necessary (e.g., when power conditions change significantly). The network node appropriately modifies parameters based on this partial feedback, reducing signaling overhead while maintaining power efficiency improvements.
Data Source
AI summary
Aspects described herein relate to receiving control information activating periodic resources defined in a configuration for wireless communication, wherein the control information indicates resources for transmitting a control information response, and transmitting, to the second node and based on one or more power-related parameters of the first node, the control information response indicating a modification for one or more parameters related to the periodic resources. Other aspects relate to transmitting the control information and receiving the control information response.


