Using artificial signals to maximize capacity and secrecy of multiple-input multiple-output (MIMO) communication

• US 10,644,771 B2
• Filed: 12/03/2019
• Issued: 05/05/2020
• Est. Priority Date: 06/08/2018
• Status: Active Grant

• Current Assignee: University of South Florida (State University System of Florida)
• Original Assignee: University of South Florida (State University System of Florida)
• Inventors: Pekoz, Berker, Hafez, Mohammed, Kose, Selcuk, Arslan, Huseyin
• Primary Examiner(s): Perez, James M
• Application Number:
  US16/702,068
• Publication Number:
  US 20200106495A1
• Time in Patent Office: 154 Days
• Field of Search: 375259-285, 375295-352
• CPC Class Codes: H04B 7/0417 Feedback systems
• CPC Class Codes: H04B 7/0456 Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
• CPC Class Codes: H04B 7/046 taking physical layer constraints into account
• CPC Class Codes: H04B 7/0626 Channel coefficients, e.g. channel state information [CSI]
• CPC Class Codes: H04L 1/0042 Encoding specially adapted to other signal generation operation, e.g. in order to reduce transmit distortions, jitter, or to improve signal shape H04L1/0067 takes precedence
• CPC Class Codes: H04L 25/0204 of multiple channels
• CPC Class Codes: H04L 25/03343 Arrangements at the transmitter end
• CPC Class Codes: H04L 25/03891 Spatial equalizers MIMO diversity systems H04B7/0413

Abstract

A system and method for increasing the capacity of a Multiple-Input Multiple-Output (MIMO) system at desired user'"'"'s locations and reducing the capacity at locations, other than that of the desired user, while also providing secrecy. Knowing the channel coefficient between each transmitter and receiver antenna pair at the transmitter, the method of the present invention calculates the artificial signal that minimizes the Euclidean distance between the desired and received data symbols if the precoding/combining matrix pair from the set that has the minimum Euclidean distance to the singular value decomposition (SVD) of the channel matrix is used for transmission and reception. The artificial signal may be fed to the precoder, instead of the actual desired data symbols, or may be transmitted directly to reduce computational complexity, power consumption and processing delay if the hardware configuration allows.

Claims

1. A codebook-based multiple-input multiple-output (MIMO) transmission method, the method comprising:

selecting a precoding/combining matrix pair, wherein the precoding/combining matrix pair is selected based upon an estimated channel coefficient of a transmission channel between a MIMO transmitter and a MIMO receiver;

receiving an information signal at the MIMO transmitter; and

generating an artificial signal from the information signal, wherein the artificial signal minimizes an error between the information signal and a signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal received over the transmission channel.

2. The method of claim 1, further comprising:

transmitting the artificial signal to the MIMO receiver over the transmission channel; and

applying the combining matrix to the received artificial signal based upon the precoding/combining matrix pair at the MIMO receiver to recover the information signal.

3. The method of claim 2, further comprising, applying a precoding operation to the artificial signal based upon the precoding/combining matrix pair prior to transmitting the precoded artificial signal to the MIMO receiver, wherein the artificial signal minimizes an error between the information signal and a signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal received over the transmission channel and following the application of the precoding matrix of the precoding/combining matrix pair.

4. The method of claim 1, further comprising:

transmitting a known signal from the MIMO receiver to the MIMO transmitter;

estimating the channel coefficient at the MIMO transmitter based upon the known signal;

selecting the precoding/combining matrix pair at the MIMO transmitter; and

transmitting the selected precoding/combining matrix pair identifier to the MIMO receiver.

5. The method of claim 1, further comprising:

transmitting a known signal from the MIMO transmitter to the MIMO receiver;

estimating the channel coefficient at the MIMO receiver based upon the known signal;

selecting the precoding/combining matrix pair at the MIMO receiver;

transmitting the precoding/combining matrix pair identifier and the known signal to the MIMO transmitter; and

estimating the channel coefficient at the MIMO transmitter based upon the known signal.

6. The method of claim 1, wherein the estimated channel coefficient of the transmission channel is a matrix comprising an estimated channel coefficient between each transmitter and receiver antenna pair at the MIMO transmitter.

7. The method of claim 1, wherein generating an artificial signal further comprises performing convex optimization to generate the artificial signal.

8. A codebook-based multiple-input multiple-output (MIMO) method, the method comprising:

selecting a precoding/combining matrix pair, wherein the precoding/combining matrix pair is selected based upon an estimated channel coefficient of a transmission channel between a MIMO transmitter and a MIMO receiver;

receiving an information signal at the MIMO transmitter;

generating an artificial signal from the information signal, wherein the artificial signal minimizes an error between the information signal and a signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal over the transmission channel;

transmitting the artificial signal to the MIMO receiver over the transmission channel; and

applying the combining matrix to the received artificial signal based upon the precoding/combining matrix pair at the MIMO receiver to recover the information signal.

9. The method of claim 8, wherein generating an artificial signal further comprises performing convex optimization to generate the artificial signal.

10. A codebook based multiple input multiple output (MIMO) transmitter, the transmitter comprising:

a signal processing unit for receiving a precoding/combining matrix pair identifier and for receiving an information signal, wherein the precoding/combining matrix pair identifier is based upon an estimated channel coefficient of a transmission channel between a MIMO transmitter and a MIMO receiver; and

the signal processing unit further for generating an artificial signal from the information signal, wherein the artificial signal minimizes an error between the information signal and the signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal received over the transmission channel.

11. The MIMO transmitter of claim 10, wherein the signal processing unit is further configured for transmitting the artificial signal to the MIMO receiver over the transmission channel for the application of the combining matrix to the artificial signal based upon the precoding/combining matrix pair at the MIMO receiver to recover the information signal.

12. The MIMO transmitter of claim 11, wherein the signal processing unit is further configured for applying a precoding operation to the artificial signal based upon the precoding/combining matrix pair prior to transmitting the precoded artificial signal to the MIMO receiver, wherein the artificial signal minimizes an error between the information signal and a signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal received over the transmission channel and following the application of the precoding matrix of the precoding/combining matrix pair.

13. The MIMO transmitter of claim 10, wherein the signal processing unit is further configured for:

receiving a known signal from a MIMO receiver over the transmission channel;

estimating the channel coefficient based upon the known signal;

selecting the precoding/combining matrix pair; and

transmitting the selected precoding/combining matrix pair identifier to the MIMO receiver.

14. The MIMO transmitter of claim 10, wherein the signal processing unit is further configured for:

transmitting a known signal to the MIMO receiver over the transmission channel;

receiving the precoding/combining matrix pair identifier from the MIMO receiver based upon the known signal; and

estimating the channel coefficient based upon the known signal.

15. The MIMO transmitter of claim 10, wherein the estimated channel coefficient of the transmission channel is a matrix comprising an estimated channel coefficient between each transmitter and receiver antenna pair at the MIMO transmitter.

16. The MIMO transmitter of claim 10, wherein generating an artificial signal further comprises performing convex optimization to generate the artificial signal.

17. The MIMO transmitter of claim 10, wherein the signal processing unit is a modem.

18. One or more non-transitory computer-readable media having computer-executable instructions for performing a method of running a software program on a computing device, the computing device operating under an operating system, the method including issuing instructions from the software program comprising:

selecting a precoding/combining matrix pair, wherein the precoding/combining matrix pair is selected based upon an estimated channel coefficient of a transmission channel between a MIMO transmitter and a MIMO receiver;

receiving an information signal at the MIMO transmitter;

generating an artificial signal from the information signal, wherein the artificial signal minimizes an error between the information signal and a signal recovered by the MIMO receiver following application of the combining matrix of the precoding/combining matrix pair to the artificial signal received over the transmission channel.

19. The non-transitory computer-readable media of claim 18, wherein the estimated channel coefficient of the transmission channel is a matrix comprising an estimated channel coefficient between each transmitter and receiver antenna pair at the MIMO transmitter.

20. The non-transitory computer-readable media of claim 18, wherein generating an artificial signal further comprises performing convex optimization to generate the artificial signal.