Multiscale Wireless Protocol for Predictable Interference Control
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Solution Overview
Problem
Current wireless networking technologies face challenges in ensuring predictable communication reliability, timeliness, and throughput due to uncertainties and interference in industrial and vehicular applications, particularly in large-scale networks, where existing centralized architectures and distributed approaches fail to effectively manage interference and probabilistic path delays.
Innovation Solution
A distributed sensing and control network utilizing a multiscale networking protocol with a physical-ratio-K (PRK) interference model, which controls interference, channel assignment, transmission power, and scheduling across multiple timescales to ensure reliable and timely data delivery by defining exclusion regions and adapting parameters based on link reliability, thereby preventing concurrent transmissions and optimizing network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized architecture is used to manage wireless networks, then network coordination and control are simplified, but communication reliability and timeliness deteriorate due to single point of failure and bottlenecks in large-scale networks
Solution Approach 1:
The patent segments the centralized network management into distributed autonomous nodes that each independently manage their own transmissions and make local decisions about channel access and interference avoidance, eliminating the single point of failure in centralized architectures
Solution Approach 2:
Each node in the wireless network autonomously monitors its own transmission reliability, detects interference conditions, and adjusts its behavior without requiring centralized coordination, enabling self-organizing network management that scales to large deployments
2Reliability
If channel spatial reuse is avoided to prevent interference, then communication reliability is maintained, but network throughput and capacity utilization deteriorate
Solution Approach 1:
The patent implements dynamic channel spatial reuse where nodes adaptively adjust their transmission parameters and interference avoidance behavior based on real-time channel conditions, allowing simultaneous transmissions when interference is minimal while maintaining reliability when interference is detected
Solution Approach 2:
Nodes dynamically change transmission parameters such as power level, modulation scheme, and channel selection based on observed interference conditions, enabling reliable communication at higher throughput by optimizing parameters to match current network state
3Productivity
If distributed approaches are used to improve scalability, then network capacity increases, but interference control and predictable timeliness deteriorate due to lack of coordination
Solution Approach 1:
The patent implements feedback mechanisms where nodes monitor transmission outcomes, detect interference from concurrent transmissions, and use this information to adjust future transmission timing and channel selection, achieving coordinated behavior in distributed networks
Solution Approach 2:
Nodes perform preliminary actions by reserving transmission opportunities in advance based on predicted interference conditions and timing requirements, ensuring predictable timeliness for time-sensitive applications while maintaining distributed operation
Data Source
AI summary
A distributed sensing and control network includes a plurality of sensing/control nodes, each of the sensing/control nodes includes a sensor, a local controller, a local memory and a wireless transmitter/receiver. The local memory stores instructions for implementing a multiscale networking protocol for wireless transmissions. The multiscale networking protocol controls at least a first factor at a first timescale and at least a second factor at a second timescale, distinct from the first timescale. The at least a first factor includes an instantiated physical-ratio-K (PRK) interference model for wireless transmissions. The at least a second factor includes at least one of a channel assignment, a node transmission signal power control, a node transmission rate control, a real-time scheduling control, and a local signal map stored in the local memory. Wherein the local signal map, together with instantiated physical-ratio-K (PRK) interference models, defines an interference relationship between a sensing/control node storing the local signal map and each other sensing/control node of the plurality of sensing/control nodes within an exclusion region of the sensing/control node storing the local signal map.