Wireless Transmission Parameter Switching Timeline for Stable Measurements
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Solution Overview
Problem
Existing wireless communication systems face challenges in dynamically adapting transmission parameters to reduce network power consumption without increasing user equipment (UE) complexity or impacting performance.
Innovation Solution
Implementing a parameter switching timeline that allows UEs to switch between network entity-side parameter sets, including transient times, reconfiguration gaps, and duration between updates, to support dynamic transmission parameter adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If transmission parameters are dynamically adapted to reduce network power consumption, then energy efficiency is improved, but parameter switching may cause measurement inconsistencies and performance degradation
Solution Approach 1:
The network entity sends a notification message to the UE in advance before actually switching transmission parameters. This preliminary action allows the UE to prepare for the upcoming parameter change, ensuring that measurements are taken at appropriate times and avoiding measurement inconsistencies that would occur with abrupt parameter changes.
Solution Approach 2:
The system implements a feedback mechanism where the network entity notifies the UE of upcoming parameter changes, and the UE can adjust its measurement and reporting behavior accordingly. This feedback loop ensures that both sides are synchronized, maintaining measurement consistency while enabling dynamic parameter adaptation for energy efficiency.
2Use of energy by moving object
If transmission parameters are switched frequently to optimize network power consumption, then energy efficiency is improved, but UE complexity increases due to frequent reconfiguration
Solution Approach 1:
By notifying the UE in advance of parameter changes, the system allows the UE to prepare reconfiguration in a controlled manner rather than reacting to abrupt changes. This reduces the instantaneous complexity burden on the UE while still enabling frequent parameter switching for energy optimization.
Solution Approach 2:
The system dynamically adjusts transmission parameters based on network conditions and power consumption requirements, with the network entity controlling the timing and nature of parameter changes. This dynamic approach optimizes energy efficiency while the notification mechanism ensures the UE can adapt without excessive complexity.
3Use of energy by moving object
If transmission parameters are changed rapidly to reduce network power consumption, then energy efficiency is improved, but the transient time for parameter application increases
Solution Approach 1:
The notification message is sent in advance of the actual parameter change, allowing the UE to prepare for the transition. This preliminary notification optimizes the timing of parameter application, reducing the effective transient time by ensuring the UE is ready when the parameters actually change, thus minimizing disruption while maintaining energy efficiency benefits.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, from a network entity, a first control message indicating sets of transmission parameters associated with dynamic transmission parameter adaptation. The UE may receive a second control message including an indication to switch from communicating with the network entity in accordance with a first set of transmission parameters to communicating with the network entity in accordance with a second set of transmission parameters. The UE may communicate one or more messages with the network entity based on a switch, in response to the second control message, from the first set of transmission parameters to the second set of transmission parameters in accordance with a parameter switching timeline for the dynamic transmission parameter adaptation.