Mobility in a distributed antenna system
First Claim
Patent Images
1. A method comprising:
- receiving samples of wireless transmissions from a plurality of user equipment (UEs) traveling through different communication regions in a wireless network, wherein the communication regions are pilot zones, and each pilot zone is assigned a corresponding set of pilots signals for use by UEs when traveling through the corresponding pilot zone, each of the wireless transmissions being based on an S-sparse set of vectors;
detecting information in the wireless transmissions of the UEs based on the samples;
constructing an overall matrix of estimated channels for the UEs, wherein the information in the wireless transmission of the UEs is detected based on at least the constructed matrix and the samples; and
estimating a channel for each of the UEs based on pilot signals employed by the UEs,wherein two or more of the different communication regions are assigned the same set of pilot signals.
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Abstract
A device, method or system implements operations to receive compressed samples of wireless transmissions from a plurality of user equipment (UEs) traveling through different communication regions in a wireless network, and detect information in the wireless transmissions of the UEs based on the compressed samples.
40 Citations
28 Claims
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1. A method comprising:
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receiving samples of wireless transmissions from a plurality of user equipment (UEs) traveling through different communication regions in a wireless network, wherein the communication regions are pilot zones, and each pilot zone is assigned a corresponding set of pilots signals for use by UEs when traveling through the corresponding pilot zone, each of the wireless transmissions being based on an S-sparse set of vectors; detecting information in the wireless transmissions of the UEs based on the samples; constructing an overall matrix of estimated channels for the UEs, wherein the information in the wireless transmission of the UEs is detected based on at least the constructed matrix and the samples; and estimating a channel for each of the UEs based on pilot signals employed by the UEs, wherein two or more of the different communication regions are assigned the same set of pilot signals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method comprising:
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receiving samples taken of a wireless transmission from user equipment (UE) traveling from a first pilot zone to a second pilot zone in a wireless network having a plurality of pilot zones, each pilot zone having an assigned set of pilot signal, the wireless transmission including a pilot signal selected from the set of pilot signals by the UE based on a scheduled assignment and being based on an S-sparse combination of a set of vectors; identifying a presence of the UE in the second pilot zone; identifying the selected pilot signal to be used by the UE in the second pilot zone based on the scheduled assignment; and detecting information in the wireless transmission from the set of samples, wherein the samples are sampled at different geographic locations in the second region at a given point in time, and wherein the scheduled assignment is based on a system clock and a UE identifier (ID). - View Dependent Claims (10)
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11. A communication system comprising:
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a plurality of remote samplers {1, . . . , j, . . . , z} where z is a number of remote samplers, a jth remote sampler capturing N samples during a word interval and transforming the N samples into Mj samples denoted collectively as yj using a sensing matrix Φ
j where Mj<
N/2 and M=M1+ . . . +Mj+ . . . +Mz; anda solver for receiving samples {y1, . . . , yj, . . . , yz} from the remote samplers and formulating a soft estimate of a collection of data vectors {{tilde over (x)}1, . . . , {tilde over (x)}k, . . . , {tilde over (x)}l} based on knowledge of transmission matrices {Ψ
1, . . . , Ψ
k, . . . , Ψ
l} where l is a number of user equipment {1, . . . , k, . . . , l},wherein a transmission matrix Ψ
k is incoherent within a sensing matrix Ψ
j for all pairs k, j according to a Restricted Isometry Property. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A method of operating user equipment comprising:
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learning a number of uplink antennas passed per second; and apportioning an uplink transmission bandwidth between data, signaling and pilot transmissions based on the learned number, wherein a data transmission comprises s-sparse transmission based on a pseudo-random number-based transmission matrix Ψ
which is repopulated at certain time intervals.
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24. A communication system comprising:
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a plurality of remote samplers {1, . . . , j, . . . , z} where z is a number of remote samplers, a jth remote sampler capturing N samples during a word interval and transforming the N samples into Mj samples denoted collectively as yj using a sensing matrix Ψ
j where Mj<
N/2 and M=M1+ . . . +Mj+ . . . +Mz; anda solver for receiving samples {y1, . . . , yj, . . . , yz} from the remote samplers and formulating a soft estimate of a collection of data vectors {{tilde over (x)}1, . . . , {tilde over (x)}k, . . . , {tilde over (x)}l} based on a knowledge of transmission matrices {Ψ
1, . . . , Ψ
k, . . . , Ψ
l} where l is a number of user equipment {1, . . . , k, . . . , l},wherein the remote samplers perform sampling of a sparse or non-sparse data transmission. - View Dependent Claims (25, 26, 27)
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28. A communication system comprising:
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a plurality of remote samplers for receiving wireless signals transmitted by one or more user equipment using a transmission matrix from one or more transmission matrices, each of the remote samplers capturing N samples during a word interval and transforming the N samples into M samples, where M<
N/2, using a sensing matrix from one or more sensing matrices; anda solver for receiving the M samples from each of the remote samplers and formulating a soft estimate of data vectors based on a knowledge of the transmission matrices used by each of the one or more user equipment, wherein all pairs of a sensing matrix and transmission matrix satisfy a Restricted Isometry Property.
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Specification