Sparsity enhanced mismatch model for heterogeneous networks with doubly-selective fading channels

US9634744B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9634744-B2
Application numberUS-201514706121-A
CountryUS
Kind codeB2
Filing dateMay 7, 2015
Priority dateMay 12, 2014
Publication dateApr 25, 2017
Grant dateApr 25, 2017

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Abstract

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A deterministic mismatch model called Sparsity Enhanced Mismatch Model-Reverse discrete prolate spheroidal sequence which leads to a two stage transceiver design that outperforms precoding only strategy incorporating norm ball mismatch modeling. The inherent sparsity in the channel is brought forth by modeling the channel using a basis expansion model where discrete prolate spheroidal sequence is used as a basis. The sparsity enhanced mismatch model reverse discrete prolate spheroidal sequence disclosed herein better accounts for the channel state information estimate mismatch compared to the norm ball mismatch. The Sparsity Enhanced Mismatch Model-Reverse based transceiver system, which includes a two-stage precoder and decoder, allows the transceiver to utilize higher transmit power without violating the interference constraint placed at the victims, resulting in enhanced performance in the communication link.

First claim

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What is claimed is: 1. A method, comprising: precoding, by a transmitting device comprising a processor, information for transmission on a channel to a receiving device to decrease interference of the transmission with other transmissions of other information by other transmitting devices on other channels within an interference range of the transmitting device, the precoding comprising: transforming the other channels from a first subspace to a second subspace comprising determining a linear permutation matrix that increases an orthogonality of the transmission of the channel and the other transmissions of the other channels; and determining a power allocation matrix that increases a signal to noise ratio of the transmission when received by the receiving device, wherein the determining comprises determining the power allocation matrix that causes the interference of the transmission with the other transmissions of the other information to satisfy a defined criterion, and wherein determining the linear permutation matrix comprises reversing an order of a set of discrete prelate spherical coefficients of the other transmissions on the other channels of the transmitting devices to reduce an amount of correlation between the transmission and the other transmissions. 2. The method of claim 1 , wherein the determining the linear permutation matrix comprises determining the linear permutation matrix that maximizes the orthogonality. 3. The method of claim 1 , wherein the reversing comprises linearly permuting the set of discrete prelate spherical coefficients. 4. The method of claim 1 , wherein the precoding comprises coding the information in a time domain. 5. The method of claim 1 , wherein the precoding comprises coding the information in a frequency domain. 6. The method of claim 1 , wherein the defined criterion is maintaining the interference below a defined threshold value. 7. The method of claim 1 , wherein the defined criterion is prevention of the interference from becoming above a defined threshold value. 8. A method, comprising: precoding, by a transmitting device comprising a processor, information for transmission on a channel to a receiving device to decrease interference of the transmission with other transmissions of other information by other transmitting devices on other channels within an interference range of the transmitting device, the precoding comprising: transforming the other channels from a first subspace to a second subspace comprising determining a linear permutation matrix that increases an orthogonality of the transmission of the channel and the other transmissions of the other channels, wherein the transforming the other channels from the first subspace to the second subspace comprises determining sparse principal component elements of the other transmissions that do not correlate to non-sparse principal component elements of the transmission according to a function that evaluates first strengths of the sparse principal component elements relative to second strengths of the non-sparse principal component elements; and determining a power allocation matrix that increases a signal to noise ratio of the transmission when received by the receiving device, wherein the determining comprises determining the power allocation matrix that causes the interference of the transmission with the other transmissions of the other information to satisfy a defined criterion. 9. The method of claim 8 , wherein the defined criterion is maintaining the interference below a defined threshold value. 10. The method of claim 9 , wherein the transforming the other channels from the first subspace to the second subspace further comprises increasing, by the transmitting device, a current allocation of power for the transmission to increase power allocated to corresponding sparse principal component elements of the transmission that correspond to the sparse principal component elements of the other transmissions. 11. A system, comprising: a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations, comprising: precoding information for transmission on a channel to a receiving device to decrease interference of the transmission with other transmissions of other information by other transmitting devices on other channels within an interference range of the transmitting device, the precoding comprising: transforming the other channels from a first subspace to a second subspace comprising determining a linear permutation matrix that increases an orthogonality of the transmission of the channel and the other transmissions of the other channels; and determining a power allocation matrix that increases a signal to noise ratio of the transmission when received by the receiving device, wherein the determining comprises determining the power allocation matrix that causes the interference of the transmission with the other transmissions of the other information to satisfy a defined criterion, and wherein the precoding comprises weighting coefficients determined for the transmission on the channel, resulting in weighted coefficients to facilitate an improved signal to noise ratio, from the system to the receiving device, for the information of the transmission, and wherein the weighting the coefficients is based on determining elements of the transmission to shift to a sparse area of a channel of the other channels. 12. The system of claim 11 , wherein the precoding comprises coding the information in a time domain. 13. The system of claim 11 , wherein the precoding comprises coding the information in a frequency domain. 14. The system of claim 11 , wherein the precoding comprises applying a set of coefficients in reverse order to increase the orthogonality. 15. The system of claim 11 , wherein the system comprises a beam-shaping transmitting device. 16. A system, comprising: a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations, comprising: precoding information for transmission on a channel to a receiving device to decrease interference of the transmission with other transmissions of other information by other transmitting devices on other channels within an interference range of the transmitting device, the precoding comprising: transforming the other channels from a first subspace to a second subspace comprising determining a linear permutation matrix that increases an orthogonality of the transmission of the channel and the other transmissions of the other channels; and determining a power allocation matrix that increases a signal to noise ratio of the transmission when received by the receiving device, wherein the determining comprises determining the power allocation matrix that causes the interference of the transmission with the other transmissions of the other information to satisfy a defined criterion, wherein the precoding comprises weighting coefficients determined for the transmission on the channel, resulting in weighted coefficients to facilitate an improved signal to noise ratio, from the system to the receiving device, for the information of the transmission, and wherein the coefficients are discrete prolate spheroidal information related to at least one of the other channels. 17. A method, comprising: decoding, by a receiving device comprising a processor, precoded information, from a transmission on a channel formed between the receiving device

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Classifications

  • taking power constraints at power amplifier or emission constraints, e.g. constant modulus, into account · CPC title

  • the resource being transmission power · CPC title

  • Time-frequency-space · CPC title

  • H04B7/0426Primary

    Power distribution · CPC title

  • Apparatus or local circuits for systems other than those covered by groups H04L15/00 - H04L21/00 · CPC title

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What does patent US9634744B2 cover?
A deterministic mismatch model called Sparsity Enhanced Mismatch Model-Reverse discrete prolate spheroidal sequence which leads to a two stage transceiver design that outperforms precoding only strategy incorporating norm ball mismatch modeling. The inherent sparsity in the channel is brought forth by modeling the channel using a basis expansion model where discrete prolate spheroidal sequence …
Who is the assignee on this patent?
Taiwan Semiconductor Mfg Co Ltd
What technology area does this patent fall under?
Primary CPC classification H04B7/0426. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Apr 25 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).