Transceiver State Table Configuration for Signal Adaptation
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Solution Overview
Problem
Wireless communication transceivers face challenges in optimizing performance across various signal types and changing environments, as they are often designed for specific conditions and struggle to adapt to evolving jamming protocols and network complexities, leading to inefficiencies and high redesign costs.
Innovation Solution
The implementation of state tables that can be loaded into transceivers, allowing them to dynamically adjust transmission parameters based on observed signal behaviors, enabling quick reconfiguration for different environments and signal types by assigning optimal states for signal transmission rate and power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a transceiver is designed for a single type of signal or protocol, then it can achieve optimized performance for that specific signal type, but it cannot adapt to other signal types or changing environments
Solution Approach 1:
The transceiver is designed with multi-functionality to handle multiple signal types and protocols. It includes a state machine that can be configured with different state tables corresponding to different signal types (spread spectrum, OFDM, etc.), allowing a single transceiver to perform multiple functions and adapt to various communication standards without requiring separate dedicated hardware for each protocol
Solution Approach 2:
The transceiver employs dynamic reconfiguration capabilities through a state machine that can load and switch between different state tables at runtime. This dynamic adaptation allows the transceiver to change its transmission parameters, modulation schemes, and processing methods based on the detected signal type and environmental conditions, transitioning from static single-purpose design to dynamic multi-purpose operation
2Adaptability or versatility
If a transceiver is equipped to receive and understand more than one type of signal or protocol, then it increases versatility, but the transceiver cannot adjust its operation to optimize performance for each signal type
Solution Approach 1:
The state machine is designed with local quality by implementing specific state tables that contain optimized parameters for each signal type. Each state table contains locally optimized transmission parameters, modulation schemes, and processing characteristics tailored to specific signal types (e.g., different spreading codes for spread spectrum, different FFT sizes for OFDM), allowing the transceiver to apply the appropriate local optimization based on the detected signal type
Solution Approach 2:
The transceiver achieves performance optimization for different signal types by dynamically changing its operating parameters through state table configuration. The state machine can adjust transmission power levels, modulation schemes, symbol rates, error correction codes, and other critical parameters based on the loaded state table, enabling each signal type to be processed with its optimal parameter set rather than a compromise configuration
3Adaptability or versatility
If transceivers are constantly redesigned and tested in response to changing requirements, then they can respond to new protocols and environments, but the process is expensive and time-consuming
Solution Approach 1:
Multiple state tables for different signal types and environmental conditions are pre-configured and stored in memory during manufacturing. When the transceiver encounters a new signal type or environment, it can quickly load the corresponding pre-prepared state table rather than requiring redesign and field testing, significantly reducing the time and cost associated with adapting to changing requirements
Solution Approach 2:
The invention uses state tables as software copies that represent different transceiver configurations for various signal types and environments. Instead of physically redesigning hardware for each new protocol, the system creates and loads software copies (state tables) that emulate the behavior of specialized transceivers, allowing rapid adaptation through software updates rather than expensive hardware redesign cycles
Data Source
AI summary
A method of determining transmission parameters for a wireless transceiver is disclosed. According to the method, a state table is loaded into a transceiver. The state table includes a plurality of states, each of which has a set of transmission parameters associated therewith. Based upon characteristics of the signals received from a signal source, the transceiver is assigned a first state. The received signals are received and processed using the set of transmission parameters associated with the first state. It is determined whether an observed behavior of the received signals exceeds a threshold associated with the first one of the plurality of states. The transceiver is assigned a second state when the behavior exceeds the threshold. The received signals are received and processed using the set of transmission parameters associated with the second state.