Dynamic Antenna Transceiver Mapping for Wireless Signal Optimization
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Solution Overview
Problem
Devices with multiple antennas face inefficiencies due to environmental conditions and user interaction, leading to suboptimal wireless communication and increased power consumption, as certain antennas may be less effective when in contact with the user or obstructed.
Innovation Solution
Implementing a system where antennas can be dynamically mapped to multiple transceivers based on touch sensor data and signal-to-noise measurements, allowing for the selection of the most effective antenna for communication, regardless of radio technology, to optimize signal quality and reduce power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a device uses multiple antennas for wireless communication, then communication reliability is improved, but power consumption increases due to continuous operation of multiple transceivers
Solution Approach 1:
The patent implements dynamic antenna-to-transceiver mapping where the system continuously monitors signal quality metrics (such as RSRP, SINR) and adjusts which transceiver is connected to which antenna based on current environmental conditions and user interaction patterns. This dynamic reconfiguration allows the system to maintain communication reliability by selecting the best available antenna-transceiver pairing while reducing power consumption by keeping only the most effective transceiver active at any given time.
Solution Approach 2:
The system changes operational parameters by monitoring signal quality metrics and touch sensor data to determine when to switch antenna mappings. When signal quality degrades below a threshold or when touch sensors detect user contact with a device housing an antenna, the system changes the mapping configuration to select alternative antennas, thereby maintaining communication performance while enabling power savings by deactivating underperforming transceivers.
2Device complexity
If antennas are fixed to specific transceivers, then device complexity is reduced, but adaptability to environmental conditions and user interaction deteriorates
Solution Approach 1:
The patent implements a universal mapping mechanism where any transceiver can be dynamically assigned to any antenna based on performance metrics rather than having fixed one-to-one pairings. The baseband processor acts as a universal controller that can reconfigure the mapping between antennas and transceivers in real-time, allowing the system to adapt to various environmental conditions and user interaction scenarios without requiring dedicated hardware for each configuration.
Solution Approach 2:
The system employs dynamic reconfiguration of antenna-transceiver mappings based on real-time monitoring of signal quality parameters and touch sensor inputs. The mapping is not static but continuously adjusted to optimize performance, allowing the device to adapt to changing environmental conditions such as signal blockage, interference patterns, and user holding patterns while maintaining manageable complexity through software-based control.
3Productivity
If the system continuously monitors signal quality to select optimal antennas, then communication efficiency is improved, but device complexity increases due to additional monitoring and switching mechanisms
Solution Approach 1:
The system implements feedback loops where signal quality metrics (RSRP, SINR, throughput) are continuously monitored and fed back to the baseband processor, which then adjusts antenna-transceiver mappings accordingly. This closed-loop feedback mechanism enables the system to automatically optimize communication efficiency by selecting the best performing antenna configurations while managing complexity through intelligent algorithms that process the feedback data and make mapping decisions.
Solution Approach 2:
The antenna selection and mapping optimization is performed autonomously by the device itself using its own monitoring capabilities and processing power. The system self-adjusts the antenna-transceiver mappings based on its own performance measurements without requiring external control or complex additional hardware, thereby improving communication efficiency while keeping the increase in device complexity manageable through software-based self-management.
Data Source
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AI summary
Various arrangements for mapping antennas to transceivers are presented. A plurality of antennas may be present. Each antenna of the plurality of antennas may be configured to communicate using different radio technologies. A plurality of transceivers may be present. At least some of the transceivers of the plurality of transceivers may be configured to utilize different radio technologies. A selector circuit may be present that is configured, based on input from a processor, to map each antenna of the plurality of antennas with each transceiver of the plurality of transceivers. The processor may be configured to control which antennas of the plurality of antennas are mapped to which transceiver of the plurality of transceivers. Touch sensors may be used to determine which antenna or antennas are likely to serve as effective electromagnetic transducers. Signal-to-noise measurements may be used to determine when to modify an antenna mapping.