# US 8,787,962 B2 · Transmit opportunity detection

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- Number: US 8,787,962 B2
- Document ID: US8787962B2
- Status: Granted
- Kind: B2
- Application number: 13/260,698
- Filed: 2010-03-26
- Published: 2012-05-31
- Granted: 2014-07-22
- Earliest claimed: 2009-03-27
- Assignees: Regents of the University of Minnesota
- Applicants: Nikhil Kundargi; Ahmed H. Tewfik
- Inventors: Nikhil Kundargi; Ahmed H. Tewfik
- Web page: https://patentgrep.com/patent/US8787962B2

## CPC

- H04W 52/343: {taking into account loading or congestion level}
- H04W 52/241: {taking into account channel quality metrics, e.g. SIR, SNR, CIR or Eb/lo}
- H04W 52/362: {Aspects of the step size}
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

The present application discusses, among other things, apparatus and methods for detecting and using a excess capacity on a wireless network medium. A method embodiment includes calculating a differential metric based on a first metric and a second metric for a primary network. The primary network can have a medium shared with a secondary network. The first metric can be based on a first distribution of traffic on the primary network and can correspond to absence of a perturbation of the medium. The second metric can be based on a second distribution of traffic on the primary network and can correspond to a perturbation of the medium from a node of the secondary network. The method can include selecting a transmission power for the node based on the differential metric.

## Claims

### Claim 1

A method comprising:
calculating a differential metric using a processor of a node on a secondary network, the differential metric based on a first metric and a second metric for a primary network, the primary network having a medium shared with the secondary network, the first metric based on a first distribution of traffic on the primary network and corresponding to absence of a perturbation of the medium, the second metric based on a second distribution of traffic on the primary network and corresponding to a perturbation of the medium from the node; and
selecting a transmission power for the node based on the differential metric.

### Claim 2 (depends on 1)

The method of claim 1, further including determining at least one of the first metric and the second metric using the processor of the node and a distributional divergence metric.

### Claim 3 (depends on 1)

The method of claim 1, further including iteratively estimating the second metric using the processor of the node.

### Claim 4 (depends on 1)

The method of claim 1, wherein selecting the transmission power includes determining a power level that provides a minimum signal-to-noise ratio (SNR) of a node on the primary network using the processor of the node.

### Claim 5 (depends on 4)

The method of claim 4, wherein selecting a transmission power includes incrementally increasing the transmission power if the differential metric meets a threshold criteria indicative of an insubstantial divergence between the first distribution and the second distribution.

### Claim 6 (depends on 4)

The method of claim 4, wherein selecting a transmission power includes reducing the transmission power if the differential metric does not meet a threshold criteria indicative of an insubstantial divergence between the first distribution and the second distribution.

### Claim 7 (depends on 1)

The method of claim 1, wherein calculating the differential metric includes implementing a goodness-of-fit (GOF) test with respect to the first distribution using primary network samples corresponding to the second distribution.

### Claim 8 (depends on 7)

The method of claim 7, wherein implementing the GOF test includes executing a sequential Kolmogorov-Smirnov algorithm.

### Claim 9 (depends on 8)

The method of claim 8, wherein selecting a transmission power includes incrementally increasing the transmission power if the differential metric meets a threshold criteria indicative of an insubstantial divergence between the first distribution and the second distribution.

### Claim 10 (depends on 8)

The method of claim 8, wherein selecting a transmission power includes reducing the transmission power if the differential metric does not meet a threshold criteria indicative of an insubstantial divergence between the first distribution and the second distribution.

### Claim 11

An apparatus comprising:
a receiver configured to receive information corresponding to a primary network, the primary network having a medium shared with a secondary metric;
a service module to generate a first service metric corresponding to a signal to noise ratio (SNR) of the received information in absence of a perturbation on the medium and to generate a second service metric corresponding to a SNR of the received information in view of a perturbation generated by the apparatus on the network;
a processor configured to generate a result based on a first comparison of the first service metric and the second service metric and configured to select a transmission parameter based on the result; and
a transmitter configured to transmit information using the secondary network and using the transmission parameter, the transmitter configured to provide the perturbation.

### Claim 12 (depends on 11)

The apparatus of claim 11, wherein the processor is configured to operate using a Media Access Control (MAC) layer, the MAC layer including the service module.

### Claim 13 (depends on 11)

The apparatus of claim 11, wherein the transmission parameter includes a transmission power parameter.

### Claim 14 (depends on 13)

The apparatus of claim 13, wherein the processor is configured to incrementally increase the transmission power parameter based on a second comparison of the result and a predetermined criteria.

### Claim 15 (depends on 13)

The apparatus of claim 13, wherein the processor is configured to reduce the transmission power parameter based on a second comparison of the result and a predetermined criteria.
