In-Device Coexistence Interference Prediction for Wireless UEs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in managing in-device coexistence (IDC) interference, where simultaneous use of multiple radio access technologies (RATs) leads to performance degradation due to interference, requiring detection before mitigation, which causes inefficiencies and resource misutilization.
Innovation Solution
A method for a user equipment (UE) to predict IDC interference using models and report preferred frequency resources and transmit powers to the base station, allowing adjustments to prevent interference occurrence, thereby improving throughput and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If simultaneous communications over 5G and Wi-Fi links are enabled, then communication versatility and data transfer capability are improved, but in-device coexistence interference occurs between the two radio access technologies
Solution Approach 1:
The patent applies preliminary action by estimating IDC interference in advance before actual communication occurs. The UE uses interference models to predict interference levels and reports preferred frequency resources and maximum transmit powers to the base station beforehand, allowing the base station to configure communication parameters that prevent interference from occurring in the first place, rather than detecting and mitigating it after the fact
2Reliability
If detection-based IDC interference mitigation is used, then interference management capability is improved, but communication efficiency deteriorates due to detection latency and resource misutilization
Solution Approach 1:
The patent replaces detection-based mitigation with preliminary action by estimating interference in advance using models. The base station configures frequency resources and transmit powers before communication begins, eliminating detection latency and avoiding resource misutilization that occurs when interference is detected too late
Solution Approach 2:
The UE performs self-service by autonomously estimating IDC interference using interference models and generating reports of preferred frequency resources and maximum transmit powers. This self-estimation capability eliminates the need for external detection mechanisms and enables the UE to proactively manage its own interference conditions
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may be configured to estimate, during a first time interval, at least one of a first interference level for a first radio access technology (RAT) caused at least in part by a second RAT, a second interference level for the second RAT caused at least in part by the first RAT, or a combination thereof. The UE may transmit a control message to a base station using the first RAT based on at least one of the first estimated interference level, the second estimated interference level, or a combination thereof. The UE may then communicate, based on the control message and during a second time interval, with the base station using the first RAT and with a wireless device using the second RAT, the second time interval being after the first time interval.