Inline insitu calibration of MIMO wireless communication systems
A communication system includes one or more transmitters, each transmitter to: transmit communication signals using a defined signaling protocol with multiple antenna elements to a target receiver, the communication signals containing known specific transmit sequences spread across a frequency spectrum of the communication signals to be detectable only by receivers having the known specific transmit sequences, and receive feedback from the target receiver indicating any errors in reception of the communication signals based upon the known specific transmit sequences, and a machine learning system to use configuration of the multiple antenna elements when the communication signal was sent and the feedback to predict preconfigured settings for transmitters. A test and measurement system located at a base station, a signal generator to generate one or more signals having a predetermined modulation format, a receiver to receive the one or more signals, and a machine learning system to develop a calibration matrix.
1. A communication system, comprising:
one or more transmitters, each transmitter configured to:
transmit communication signals using a defined signaling protocol with multiple antenna elements to a target receiver, the communication signals containing known specific transmit sequences spread across a frequency spectrum of the communication signals to be detectable only by receivers having the known specific transmit sequences; and
receive feedback from the target receiver indicating any errors in reception of the communication signals based upon the known specific transmit sequences; and
a machine learning system to use configuration of the multiple antenna elements when the communication signal was sent and the feedback to predict preconfigured settings for transmitters in the communication system.
2. The communication system as claimed in claim 1 , wherein the defined signaling protocol comprises one of orthogonal frequency division multiplexing (OFDM), frequency division multiplexing (FDM), Time Division Multiplexing (TDM), and Quadrature Amplitude Modulation (QAM).
3. The communication system as claimed in claim 1 , wherein the bandwidth of the known specific transmit sequences have a narrower bandwidth than the communication signals.
4. The communication system as claimed in claim 1 , wherein the known specific transmit sequences comprise code-division multiple access (CDMA) code words.
5. The communication system as claimed in claim 1 , wherein the preconfigured settings include one or more of phase and angle of the antenna elements, and channel state information.
6. The communication system as claimed in claim 1 , wherein the transmitter is one of either remote from the target receiver, or co-located with the target receiver.
7. The communication system as claimed in claim 1 , further comprising a reflector to receive the communication signals and reflect them back to the target receiver.
8. A test and measurement system located at a base station, comprising:
a signal generator configured to generate one or more signals having a predetermined modulation format;
a transmitter comprised of multiple antenna elements configured to transmit the one or more signals to one or more reflectors configured to reflect the one or more signals back towards the base station;
a receiver configured to receive the one or more signals; and
a machine learning system configured to use the one or more signals transmitted, the one or more signals received, and any adjustments made to the one or more signals transmitted to develop a calibration matrix.
9. The test and measurement system as claimed in claim 8 , wherein one of either the one or more reflectors or the receiver act as an adjuster and are configured to make adjustments to the signals transmitted.
10. The test and measurement system as claimed in claim 9 , wherein the adjuster is configured to:
receive the one or more signals from the transmitter;
adjust any undesirable phase shifts and amplitude variations; and
return the adjustments to the machine learning system at the base station.
11. The test and measurement system as claimed in claim 8 , wherein the signal generator comprises an arbitrary waveform generator, AWG, and the receiver comprises a real-time spectrum analyzer, RTSA.
12. The test and measurement system as claimed in claim 8 , wherein at least one of the one or more reflectors comprises a reconfigurable intelligent surface, RIS.
13. The test and measurement system as claimed in claim 12 , wherein the RIS is one of static or dynamic.
14. The test and measurement system as claimed in claim 12 , wherein the one or more reflectors comprise first and second reflectors, each in line of sight with the base station, and the test and measurement system is further configured to:
determine channel performance of a first channel between the base station and the first reflector, and of a second channel between the base station and the second reflector; and
use the performance of the first channel and the second channel to calibrate a channel between a non-line of sight node and the first and second reflectors.
15. The test and measurement system as claimed in claim 8 , wherein:
the signal generator is further configured generate the one or more signals and to include known specific transmit sequences spread across a frequency spectrum of the one or more signals to be detectable only by receivers having the known specific transmit sequences; and
the receiver is further configured to receive the signals including the known specific transmit sequences.