UE Assistance Information Negotiation for 5G Power and Throughput
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Solution Overview
Problem
In mobile communications, particularly in 5G NR systems, base stations face challenges in determining the optimal configuration for user equipment (UE) to meet power saving and thermal control requirements while ensuring high throughput, as UE suggestions for resource allocation are often declined by the network due to unsupported configurations, unavailability, network busy conditions, or failures.
Innovation Solution
A user equipment assistance information (UAI) negotiation method is introduced, where UE receives and sends configuration parameters to the network terminal through RRC reconfiguration messages, allowing for dynamic adjustment of resources such as component carriers and MIMO settings to optimize power usage and throughput demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the base station configures UE with high resources (more component carriers, higher MIMO) to increase throughput, then productivity is improved, but use of energy by moving object increases and thermal control becomes difficult
Solution Approach 1:
The patent implements dynamic configuration adjustment where the base station can modify UE configuration parameters (component carriers, MIMO layers) in real-time based on UE feedback. The UE sends assistance information indicating its power/thermal state, and the base station dynamically reconfigures resources accordingly, allowing the system to adapt between high throughput and low power consumption states as conditions change.
Solution Approach 2:
The patent establishes a feedback loop where the UE monitors its own power consumption and thermal state, then sends assistance information back to the base station. This feedback mechanism enables the base station to make informed configuration decisions that balance throughput requirements with UE power and thermal constraints.
2Use of energy by moving object
If the UE suggests reducing resources for power saving and thermal control, then use of energy by moving object decreases, but productivity decreases
Solution Approach 1:
The configuration is made dynamic rather than static. The UE can request configuration changes based on its current state, and the base station can adjust resources up or down as conditions change. This allows the system to operate at low power when needed while maintaining the capability to scale up throughput when requirements demand it.
Solution Approach 2:
The patent changes key configuration parameters (number of component carriers, MIMO layers) based on UE assistance information. These parameter changes allow the system to optimize the balance between power consumption and throughput by adjusting the configuration to match actual operational needs rather than maintaining a fixed high-performance setting.
3Adaptability or versatility
If the base station determines configuration through artificial intelligence big data, then adaptability is improved, but the base station cannot know whether the configuration meets UE requirements
Solution Approach 1:
The patent implements a feedback mechanism where the UE actively communicates its requirements and state to the base station through assistance information. This feedback closes the information gap, allowing the base station to verify whether its AI-determined configuration actually meets UE needs and to make corrective adjustments if necessary.
Solution Approach 2:
The UE assistance information acts as an intermediary that bridges the knowledge gap between the base station's configuration decisions and the UE's actual requirements. Rather than the base station guessing UE needs based solely on big data, the UE directly communicates its state, enabling informed configuration adjustments.
4Reliability
If the network declines UE suggestions due to unsupported configuration or unavailability, then reliability is maintained, but adaptability decreases
Solution Approach 1:
The negotiation mechanism provides continuous feedback between UE and base station. When the network cannot accept a UE suggestion, it can communicate this through the feedback loop, and the UE can adjust its assistance information accordingly. This maintains reliability by ensuring only valid configurations are applied while preserving adaptability through iterative negotiation.
Solution Approach 2:
The configuration process is made dynamic and iterative rather than static and one-way. The UE can propose configurations, the base station can reject or modify them based on current network conditions, and the UE can adjust its proposals. This dynamic negotiation maintains system reliability while achieving adaptability through multiple rounds of adjustment.
Data Source
AI summary
A user equipment assistance information (UAI) negotiation method, for a user equipment (UE) of mobile communication includes receiving a first OtherConfig element of an RRC reconfiguration message comprising a plurality of configuration parameters with SETUP values from a network terminal; sending a first UAI including a first value of a first configuration parameter of the configuration parameters to the network terminal; and receiving a first RRC reconfiguration message corresponding to the first UAI from the network terminal.