Packet Error Rate Estimator for Adaptive Channel Planning
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Solution Overview
Problem
In crowded radio frequency (RF) bands, achieving reliable channel assessment is challenging due to spectral competition and evolving interference signatures, making it difficult to maintain optimal channel allocation and network performance.
Innovation Solution
A channel assessment tool (CAT) that continuously evaluates the RF spectrum, allowing for adaptive channel planning by simultaneously assessing multiple channels without disrupting normal network activity, using a combination of digital signal processors, ARM processors, and field programmable gate arrays (FPGAs) to estimate packet error rates and identify the best channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional channel assessment methods are used in crowded RF bands, then one-time site evaluation can be performed, but the assessment becomes inadequate as interference signatures constantly evolve and spectral competition increases
Solution Approach 1:
The patent implements dynamic channel assessment by continuously monitoring RF spectrum and automatically updating channel plans based on real-time interference conditions. The system transitions from static one-time evaluation to dynamic ongoing assessment, allowing the radio to adapt channel allocations as interference signatures evolve, thereby maintaining reliable communication in crowded spectral environments
Solution Approach 2:
The system performs preliminary channel assessment and identification of interference patterns before they significantly degrade performance. By continuously monitoring and detecting evolving interference signatures in advance, the system can proactively adjust channel plans before reliability deteriorates, rather than reacting after disruptions occur
2Adaptability or versatility
If continuous channel assessment is implemented to adapt to evolving interference, then optimal channel allocation can be maintained, but network activity may be disrupted by assessment operations
Solution Approach 1:
The system implements periodic channel assessment at strategically selected intervals rather than continuous monitoring. Assessment operations are scheduled during periods of lower network activity or using time-division multiplexing, allowing the system to gather interference data and update channel plans periodically without constantly disrupting normal network throughput
Solution Approach 2:
The channel assessment function is segmented into separate assessment and data transmission phases. The system divides time resources between performing channel assessments and maintaining normal network communication, allowing both functions to operate with minimal interference to each other, thus maintaining productivity while enabling adaptability
3Measurement precision
If multiple channels are simultaneously assessed to identify the best channels, then optimal channel selection can be achieved, but the complexity of the assessment system increases
Solution Approach 1:
The patent implements a universal channel assessment architecture where a single assessment engine can evaluate multiple channels simultaneously using the same hardware and software resources. The system performs multi-channel assessment through time-division multiplexing and frequency-domain analysis, allowing one assessment tool to serve multiple channels without proportionally increasing system complexity
Solution Approach 2:
The system merges channel assessment functions with existing RF front-end and signal processing resources. By combining channel quality evaluation with normal receive operations and utilizing shared ADCs, mixers, and baseband processors, the system achieves multi-channel assessment capability without duplicating entire assessment systems for each channel, thereby controlling complexity while maintaining measurement precision
Data Source
AI summary
A packet error rate estimator is configured to estimate packet error rate (PER). In an example, power or energy is calculated in one or more streams of I/Q samples over a period of time. The power or energy may be calculated for periods of time, e.g., bit-length periods of time, and a maximum value of bit-length power or energy may be selected over a packet-length period of time. The maximum power or energy associated with each stream of I/Q samples over the period of time may be compared to at least two threshold values. Each threshold value may be associated with an expected PER. Based at least in part on the comparing, and which of a plurality of threshold vales were (or were not) exceeded, a PER may be estimated for each stream of I/Q samples. The PER may be used to select a channel plan with less radio frequency noise.