Wireless Signal Control via Sensor-Based Adaptive Transmission
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Solution Overview
Problem
Wireless local area network coverage within homes or enterprises is inconsistent due to varying wireless signal strength and interference, leading to data retransmissions and poor signal quality, which conventional solutions like increasing transmission power fail to address effectively.
Innovation Solution
The implementation of adaptive control methods using sensors to measure signal characteristics such as RSSI, SNR, and bit error rate, allowing a wireless communication device to adjust transmission characteristics like signal strength, channel, and phase to ensure consistent and strong signal coverage across a premises by prioritizing specific areas based on user input or schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If transmission power is increased to improve signal strength, then signal coverage is improved, but congestion in high traffic areas increases
Solution Approach 1:
The system adjusts transmission power locally based on geographic location and traffic conditions rather than uniformly across all areas. Sensors detect signal characteristics at different locations, and the network device selectively increases power only in areas with poor coverage, while maintaining or reducing power in already well-covered high-traffic areas, thus improving signal strength where needed without causing congestion elsewhere.
Solution Approach 2:
The transmission power is made dynamic and adaptive rather than static. The network device continuously monitors signal characteristics from sensors and adjusts transmission power in real-time based on current conditions, allowing the system to respond to changing traffic patterns and signal quality requirements, optimizing both coverage and congestion management.
2Reliability
If transmission power is increased to address poor signal reception, then signal coverage is improved, but bandwidth consumption increases due to data retransmission
Solution Approach 1:
The system implements a feedback mechanism where sensors continuously measure signal characteristics (RSSI, SNR, bit error rate) and report them to the network device. Based on this feedback, the network device adjusts transmission power to maintain signal quality above acceptable thresholds, preventing data retransmissions and optimizing bandwidth utilization by transmitting only the necessary power level.
3Measurement precision
If sensors are deployed throughout the premises to measure signal characteristics, then signal quality can be optimized, but device complexity increases
Solution Approach 1:
The sensors deployed in the system serve multiple functions: they measure signal characteristics (RSSI, SNR, bit error rate), detect geographic locations, and provide feedback for optimization. This multi-functionality reduces the need for separate dedicated measurement devices and integrates monitoring capabilities into the existing sensor infrastructure, thereby improving measurement precision without proportionally increasing system complexity.
Data Source
AI summary
An example method can comprise receiving a plurality of signal characteristic measurements from each of a plurality of sensors disposed at geographically distinct premises or geographically distinct locations throughout a premises. A prioritized sensor (e.g., prioritized relative to other sensors) can be determined from among the plurality of sensors, and the signal characteristic measurement from the prioritized sensor can be compared to a set of predefined signal characteristics. A network device can adjust one or more transmission characteristics based on the received signal characteristic measurements.