# US 9,521,566 B2 · Method and system for aggregating WiFi signal data and non-WiFi signal data

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- Number: US 9,521,566 B2
- Document ID: US9521566B2
- Status: Granted
- Kind: B2
- Application number: 14/149,735
- Filed: 2014-01-07
- Published: 2014-06-05
- Granted: 2016-12-13
- Earliest claimed: 2010-04-06
- Assignees: Aruba Networks, Inc.
- Applicants: Aruba Networks, Inc.
- Inventors: Subbu Ponnuswamy
- Web page: https://patentgrep.com/patent/US9521566B2

## CPC

- H04W 24/08: Testing, {supervising or monitoring} using real traffic
- H04L 41/22: comprising specially adapted graphical user interfaces [GUI]
- H04L 43/08: Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports}
- H04W 72/0446: Resources in time domain, e.g. slots or frames
- H04W 72/541: using the level of interference
- H04W 72/00: Local resource management
- H04W 84/12: WLAN [Wireless Local Area Networks]
- H04W 88/10: adapted for operation in multiple networks, e.g. multi-mode access points
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## Abstract

Methods of aggregating spectrum data captured from a narrowband radio to form a spectrum covering a much wider frequency band. Frequency data, such as FFT spectrum data captured from a narrowband receiver such as an IEEE 802.11 Wi-Fi receiver are combined to display representative real-time FFT, average FFT, and FFT duty cycle data of a wideband spectrum. Data is captured from narrow band radios such as access points, station monitors, or client devices on a wireless network. A wideband spectrum may be aggregated from data captured from one or from multiple devices. Data may be stored for later analysis and display.

## Claims

### Claim 1

A non-transitory machine readable medium storing instructions which, when executed by one or more hardware processors, causes performance of a set of operations comprising:
accumulating frequency-domain samples from a radio scanning a plurality of channels, the scanning generating a plurality of the frequency-domain samples for each of the plurality of channels;
categorizing the frequency-domain samples as either Wi-Fi samples or non-Wi-Fi samples;
for each of the plurality of channels:
selecting a first sample from among the Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel;
selecting a second sample from among the non-Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel; and
choosing a representative sample for the respective channel from among the first sample and the second sample based on a weighting parameter and respective signal strengths of the first and second samples; and
combining the representative samples of all of the plurality of channels to produce a spectrum display representing a combined spectrum across all of the plurality of channels.

### Claim 2 (depends on 1)

The machine readable medium of claim 1, wherein the first sample is selected based at least on a signal strength of the first sample exceeding a threshold value.

### Claim 3 (depends on 1)

The machine readable medium of claim 1, wherein the second sample is selected based at least on a signal strength of the second sample exceeding a threshold value.

### Claim 4 (depends on 1)

The machine readable medium of claim 1,
wherein the frequency-domain samples are samples of signals received by the radio while scanning the plurality of channels that have been transformed to a frequency domain.

### Claim 5 (depends on 4)

The machine readable medium of claim 4,
wherein the frequency-domain samples are fast-Fourier transform (FFT) samples.

### Claim 6 (depends on 2)

The machine readable medium of claim 2,
wherein, for each of the plurality of channels, the first sample is selected because the signal strength thereof is a highest signal strength among the Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel.

### Claim 7 (depends on 3)

The machine readable medium of claim 3,
wherein, for each of the plurality of channels, the second sample is selected because the signal strength thereof is a highest signal strength among the non-Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel.

### Claim 8 (depends on 1)

The machine readable medium of claim 1,
wherein, for each of the plurality of channels, the choosing the representative sample for the respective channel from among the first sample and the second sample includes:
adding the weighting parameter to the signal strength of the second sample,
choosing the first sample if the signal strength thereof exceeds the signal strength of the second sample plus the weighting parameter;
choosing the second sample if the signal strength thereof plus the weighting parameter exceeds the signal strength of the first sample.

### Claim 9

A system comprising:
at least one hardware processor;
the system being configured to perform operations comprising:
accumulating frequency-domain samples from a radio scanning a plurality of channels, the scanning generating a plurality of the frequency-domain samples for each of the plurality of channels;
categorizing the frequency-domain samples as either Wi-Fi samples or non-Wi-Fi samples;
for each of the plurality of channels:
selecting a first sample from among the Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel;
selecting a second sample from among the non-Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel; and
choosing a representative sample for the respective channel from among the first sample and the second sample based on a weighting parameter and respective signal strengths of the first and second samples; and
combining the representative samples of all of the plurality of channels to produce a spectrum display representing a combined spectrum across all of the plurality of channels.

### Claim 10 (depends on 9)

The system of claim 9, wherein the first sample is selected based at least on a signal strength of the first sample exceeding a threshold value.

### Claim 11 (depends on 9)

The system of claim 9, wherein the second sample is selected based at least on a signal strength of the second sample exceeding a threshold value.

### Claim 12 (depends on 9)

The system of claim 9,
wherein the frequency-domain samples are samples of signals received by the radio while scanning the plurality of channels that have been transformed to a frequency domain.

### Claim 13 (depends on 12)

The system of claim 12,
wherein the frequency-domain samples are fast-Fourier transform (FFT) samples.

### Claim 14 (depends on 10)

The system of claim 10,
wherein, for each of the plurality of channels, the first sample is selected because the signal strength thereof is a highest signal strength among the Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel.

### Claim 15 (depends on 11)

The system of claim 11,
wherein, for each of the plurality of channels, the second sample is selected because the signal strength thereof is a highest signal strength among the non-Wi-Fi samples of the plurality of frequency-domain samples that correspond to the respective channel.

### Claim 16 (depends on 9)

The system of claim 9,
wherein, for each of the plurality of channels, the choosing the representative sample for the respective channel from among the first sample and the second sample includes:
adding the weighting parameter to the signal strength of the second sample,
choosing the first sample if the signal strength thereof exceeds the signal strength of the second sample plus the weighting parameter; and
choosing the second sample if the signal strength thereof plus the weighting parameter exceeds the signal strength of the first sample.
