Unified Antenna Front End Module for Latency Reduction
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Solution Overview
Problem
Current mobile information handling systems face challenges with interference and incompatibility between multiple antenna systems operating on different radio access technologies, leading to latency and resource depletion, as well as colocation interference issues due to the reliance on operating system-dependent configurations and inadequate antenna pattern optimization.
Innovation Solution
A unified antenna front end module with a microcontroller executes a heuristic antenna pattern selection system, using a parasitic antenna and phase shifting to optimize antenna radiation patterns, independent of the operating system, and performs non-dedicated antenna pattern training to determine the optimal configuration based on current operational conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple antenna systems operate simultaneously on different radio access technologies, then communication capabilities are enhanced, but interference and incompatibility issues arise
Solution Approach 1:
The patent divides the antenna system into separate antenna groups for different radio access technologies (cellular and Wi-Fi), with each group having dedicated front-end modules. This segmentation allows independent optimization and control of each antenna system, reducing interference while maintaining multi-technology capabilities.
Solution Approach 2:
The patent introduces a unified antenna front-end module as an intermediary between multiple antenna systems and the radio access technologies. This intermediary manages signal routing, impedance matching, and interference mitigation, enabling compatible operation of cellular and Wi-Fi antennas simultaneously.
2Ease of manufacture
If operating system-dependent configurations are used for antenna control, then implementation is simplified, but latency and resource depletion occur
Solution Approach 1:
The patent merges antenna control functions directly into the hardware front-end module, combining RF switching, impedance matching, and pattern selection in a single integrated unit. This eliminates the need for operating system-dependent software control, reducing latency while maintaining implementation simplicity through hardware-level automation.
3Reliability
If antenna pattern optimization is performed, then signal quality improves, but device complexity increases
Solution Approach 1:
The patent implements dynamic antenna pattern selection where the front-end module automatically adjusts radiation patterns based on real-time detection of interferers and operational conditions. This dynamic adaptation improves signal quality without requiring complex manual configuration, as the system self-optimizes based on environmental feedback.
Solution Approach 2:
The antenna system performs self-optimization through automated pattern selection and interference detection. The front-end module independently determines optimal radiation patterns without external control, reducing the need for complex external management systems while maintaining high signal quality.
4Reliability
If colocation interference issues are addressed through software configurations, then compatibility is improved, but resource consumption increases
Solution Approach 1:
The patent replaces software-based antenna control with hardware-level mechanisms including RF switches, impedance matching networks, and dedicated front-end modules. This mechanical/electrical substitution eliminates the need for continuous software processing and resource-intensive OS-dependent configurations, reducing power consumption while maintaining compatibility.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution reduces latency, optimizes signal quality, and enhances data transmission efficiency by dynamically adjusting antenna patterns to match changing operational conditions, while minimizing resource consumption and interference.
Implementation Method 1
using a parasitic antenna and phase shifting to optimize antenna radiation patterns
Implementation Method 2
using a parasitic antenna and phase shifting to optimize antenna radiation patterns
Data Source
AI summary
A wireless adapter front end for an information handling system may comprise a wireless adapter for receiving content via a transceiving antenna configurable to have a plurality of antenna radiation patterns, and a controller. The controller may execute code instructions to receive a trigger input indicating decreased signal strength, measure RSSI variance of the wireless link, measure a rate of mobility of the information handling system determined from accelerometer data or velocity data, identify an allotted training duration time period associated with the rate of mobility and RSSI variance, identify an optimal antenna pattern associated with a highest quality link within the allotted training duration time period, and instruct the transceiving antenna to operate according to the optimal antenna pattern.