Sensor-based wireless communication systems using compressive sampling

• US 8,693,597 B2
• Filed: 07/29/2010
• Issued: 04/08/2014
• Est. Priority Date: 12/12/2008
• Status: Active Grant

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Blackberry Limited
• Inventors: Sexton, Thomas Aloysius, DeVries, Christopher Andrew
• Primary Examiner(s): ROSE, KERRI M
• Application Number:
  US12/846,441
• Publication Number:
  US 20100310011A1
• Time in Patent Office: 1,349 Days
• Field of Search: 370344-347, 370/464, 370/465, 370/468, 370/469, 375/316, 375/317, 375/346, 375/347, 375/350, 455/296
• US Class Current: 375/346
• CPC Class Codes: H03M 1/129 Means for adapting the input signal to the range the converter can handle, e.g. limiting, pre-scaling H03M1/18 takes precedence; Out-of-range indication
• CPC Class Codes: H03M 7/30 Compression speech analysis-synthesis for redundancy reduction G10L19/00; for image communication H04N; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Methods, devices and systems for sensor-based wireless communication systems using compressive sampling are provided. In one embodiment, the method for sampling signals comprises receiving, over a wireless channel, a user equipment transmission based on an S-sparse combination of a set of vectors; down converting and discretizing the received transmission to create a discretized signal; correlating the discretized signal with a set of sense waveforms to create a set of samples, wherein a total number of samples in the set is equal to a total number of sense waveforms in the set, wherein the set of sense waveforms does not match the set of vectors, and wherein the total number of sense waveforms in the set of sense waveforms is fewer than a total number of vectors in the set of vectors; and transmitting at least one sample of the set of samples to a remote central processor.

Claims

1. A method of processing data in a communication system, comprising:

using a sampler to receive, over a wireless channel, a sum signal comprising first and second user equipment signal transmissions based on an S-sparse combination of a set of vectors; and

adjusting a dynamic range of said sampler to optimize detection of said first user equipment signal transmission in response to receiving an instruction from a remote central processor.

2. The method of claim 1, further comprising:

adjusting the dynamic range of said sampler to optimize detection of both said first and second user equipment signal transmissions.

3. The method of claim 1, wherein the dynamic range of said sampler is adjusted by adjusting a current provided to components in an analog front-end of said sampler.

4. The method of claim 3, wherein the components in the analog front-end of said sampler comprise a low noise amplifier (LNA), a phase locked loop (PLL), a mixer, an attenuator, and an intermediate frequency (IF) filter.

5. A method of processing data in a communication system, comprising:

using a sampler to receive, over a wireless channel, a sum signal transmission comprising first and second user equipment signal transmissions based on an S-sparse combination of a set of vectors; and

adjusting a front-end noise figure of said sampler to optimize detection of said first user equipment signal transmission by adjusting a current provided to predetermined components in an analog front-end of said sampler.

6. The method of claim 5, further comprising:

adjusting the front-end noise figure of said sampler to optimize detection of both said first and second user equipment signal transmissions.

7. The method of claim 5, wherein the current provided to said predetermined components of said analog front-end is adjusted in response to receiving an instruction from a remote central processor.

9. The method of claim 5, wherein the components in the analog front-end of said sampler comprise a low noise amplifier (LNA), a phase locked loop (PLL), a mixer, an attenuator, and an intermediate frequency (IF) filter.

8. A sampler, comprising:

a first receiver operable to receive, over a wireless random access channel, a first user equipment signal transmission; and

a second receiver operable to receive, over a data payload channel, a second user equipment signal transmission,

wherein said first user equipment signal transmission is based on an S-sparse combination of a set of vectors.

10. The sampler of claim 8, wherein said second user equipment signal is based on an S-sparse combination of a set of vectors.

11. A method of processing data in a communication system, comprising:

using a receiver to receive, over a wireless channel, a user equipment signal transmission based on an S-sparse combination of a set of vectors; and

adjusting power consumption of said receiver, wherein said receiver has a first power consumption level when said user equipment signal transmission comprises a presence signal transmission and a second power consumption level when said user equipment signal transmission comprises a payload signal transmission.

12. The method of claim 11, wherein said first power consumption level is lower than said second power consumption level.

13. The method of claim 11, wherein the power consumption level of said receiver is adjusted by adjusting a current provided to components in an analog front-end of said receiver.

14. The method of claim 11, wherein said power consumption of said receiver is adjusted in response to receiving an instruction from a remote central processor.

15. A method for processing data in a communication system, comprising:

using a remote central processor to monitor power consumption of a plurality of samplers;

using said remote central processor to monitor operation of a plurality of user equipments and to correlate locations of individual user equipments with locations of individual samplers; and

using said remote central processor to optimize power consumption of said plurality of samplers by associating predetermined individual samplers with predetermined individual user equipments.

16. The method of claim 15, wherein a user equipment in said plurality of user equipment is geographically closer to a first sampler than a second sampler and wherein said user equipment is associated with said second sampler to optimize power consumption of said plurality of samplers.

17. The method of claim 16, wherein the association of said individual user equipment with said second sampler is in response to an instruction received by said second sampler from a remote central processor.

18. The method of claim 15, wherein individual samplers in said plurality of samplers each comprise a battery and wherein said remote central processor is operable to generate data corresponding to the projected remaining battery life for the battery in each of said individual samplers.