Wireless Communication System Signal Combining for Robustness
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Solution Overview
Problem
Wireless communication systems face challenges in improving communication robustness due to factors like interferers and multi-path fading, which affect communication quality between devices and access points or base stations.
Innovation Solution
The solution involves a communication system architecture where stations transmit messages with source and destination address fields, and an access point forwards these messages with modified address fields to enhance signal processing and robustness by combining signals from multiple sources, using a processing module with components like RF sections, filtering, equalizing, and soft decision modules to convert and decode data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wireless communication device communicates with a single access point or base station, then the communication setup is simple and direct, but the communication becomes susceptible to interferers and multi-path fading that adversely affect communication quality
Solution Approach 1:
The patent combines signals from multiple sources (direct transmission from station to station, and indirect transmission through access point) at the receiving station. The receiver processes and combines these multiple signal paths to improve communication robustness against interferers and multi-path fading, while maintaining a relatively simple communication architecture.
2Reliability
If signals are combined from multiple sources to improve robustness, then communication reliability improves, but the processing complexity and device complexity increase
Solution Approach 1:
The receiving station performs self-service by autonomously processing and combining signals from multiple sources without requiring complex external coordination. The station's receiver independently handles signal combination, equalization, and data recovery, reducing the need for additional complex processing infrastructure.
3Measurement precision
If the system processes messages from multiple transmission paths, then data recapture capability improves, but the processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary signal processing actions at the receiving station, including equalization and soft decision decoding, to prepare signals for combination. This preliminary processing improves data recapture capability by pre-conditioning the signals before the combining operation, reducing the computational burden during the actual data recovery process.
Data Source
AI summary
A wireless communication system includes an access point and first and second stations. The first station transmits a first message that includes an address of a second station as a destination address and an address of the first station as a source address. The access point forwards the message including the address of the second station address as the destination address and the address of the first station as the source address. The second station receives the message from the first station during a first time interval and receives the first message from the access point during a second time interval. The second station processes the duplicate received message to produce inbound data.