SENSOR-BASED WIRELESS COMMUNICATION SYSTEMS USING COMPRESSIVE SAMPLING
First Claim
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 signals transmissions based on an S-sparse combination of a set of vectors; and
adjusting the dynamic range of said sampler to optimize detection of said first user equipment signal transmission.
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Accused Products
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.
63 Citations
19 Claims
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1. A method of processing data in a communication system, comprising:
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using a sampler to receive, over a wireless channel, a sum signal comprising first and second user equipment signals transmissions based on an S-sparse combination of a set of vectors; and adjusting the dynamic range of said sampler to optimize detection of said first user equipment signal transmission. - View Dependent Claims (2, 3, 4)
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5. A method of processing data in a communication system, comprising:
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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 the front-end noise figure of said sampler to optimize detection of said first user equipment signal transmission. - View Dependent Claims (6, 7, 8)
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9. A sampler, comprising:
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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. - View Dependent Claims (10, 11)
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12. A method of processing data in a communication system, comprising:
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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 the 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. - View Dependent Claims (13, 14, 15)
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16. A method for processing data in a communication system, comprising:
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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 equipment and to correlate the location of individual user equipment units with the location of individual samplers; and using said remote central processor to optimize power consumption of said plurality of samplers by communicatively associating predetermined individual samplers with predetermined individual user equipment units. - View Dependent Claims (17, 18, 19)
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Specification