Power Headroom Report Configuration for Multi-Technology Wireless Networks
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Solution Overview
Problem
Current wireless communication networks face challenges in efficiently managing bandwidth and resource allocation across multiple technologies and releases, leading to suboptimal performance and increased complexity.
Innovation Solution
The implementation of advanced bandwidth management techniques, including bandwidth parts (BWPs) and dynamic resource allocation, allows for flexible and adaptive use of resources across different technologies and releases, optimizing performance and reducing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple technologies and releases are supported in the same network, then network versatility and adaptability improve, but network complexity and resource management difficulty increase
Solution Approach 1:
The patent divides the bandwidth into multiple Bandwidth Parts (BWPs), each optimized for specific technologies or releases. This segmentation allows the network to support multiple technologies simultaneously while managing complexity through structured organization of resources. Each BWP can be configured with specific parameters suitable for different technology requirements.
Solution Approach 2:
The patent implements a universal resource allocation framework that can accommodate multiple technologies and releases within the same network infrastructure. The system provides multi-functionality by enabling a single network to serve diverse technology requirements through unified resource management mechanisms.
2Productivity
If dynamic resource allocation is implemented, then network efficiency and data rates improve, but control complexity and overhead increase
Solution Approach 1:
The patent implements dynamic resource allocation where the network can flexibly adjust bandwidth and resource distribution based on real-time conditions. The system dynamically switches between different BWPs and allocates resources adaptively to optimize network efficiency and data rates under varying load and technology requirements.
Solution Approach 2:
The patent utilizes parameter changes to manage resource allocation dynamically. By adjusting parameters such as bandwidth size, configuration, and allocation patterns, the system optimizes network efficiency without requiring overly complex control mechanisms, leveraging configurable parameter adjustments instead.
3Adaptability or versatility
If bandwidth parts are used for flexible resource allocation, then adaptability to different technologies improves, but resource management complexity increases
Solution Approach 1:
The patent segments the available bandwidth into multiple configured Bandwidth Parts, each with specific characteristics suitable for different technologies. This segmentation provides structured adaptability while managing complexity through predefined configurations and organized resource partitions.
Solution Approach 2:
The patent employs preliminary configuration of BWPs where resource allocation patterns and parameters are pre-established. This allows the system to quickly adapt to different technology requirements by selecting from pre-configured options, reducing the need for complex real-time resource management decisions.
Data Source
AI summary
A wireless device receives a configuration parameter indicating at least two sounding reference signal (SRS) resource sets of a cell. The wireless device receives a power headroom report (PHR) configuration for the cell. The wireless device transmits a PHR comprising one Type 1 power headroom (PH) value of the cell. The PHR is transmitted based on a parameter, indicating to report two power headroom values of the cell, being absent in the PHR configuration.