GB2641641A - Base station for mobile networks having integrated deep learning radiofrequency signal inference models - Google Patents
Base station for mobile networks having integrated deep learning radiofrequency signal inference modelsInfo
- Publication number
- GB2641641A GB2641641A GB2511527.0A GB202511527A GB2641641A GB 2641641 A GB2641641 A GB 2641641A GB 202511527 A GB202511527 A GB 202511527A GB 2641641 A GB2641641 A GB 2641641A
- Authority
- GB
- United Kingdom
- Prior art keywords
- base station
- radio
- inferences
- signals
- inference engine
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/08—Access point devices
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
Various base stations for use in a radio access network are disclosed herein. The base stations can include a radio unit for transmitting digital radio signals and a base station hardware device. The base station hardware device can include one or more processors configured to implement a software radio module in communication with the radio unit, receiving the digital radio signals and an inference engine operable to receive output signals from the software radio module and perform inferences on the output signals. The inference engine can include deep learning inference models that are trained to perform the inferences and the inferences can be transmitted to a server in communication with the base station.
Claims (25)
1. WE CLAIM:
2. 1 . A base station for use in a radio access network (RAN) comprising: a radio unit for transmitting digital radio signals; and a hardware device comprising one or more processors configured to implement: a software radio module in communication with the radio unit, receiving the digital radio signals; and an inference engine operable to receive output signals from the software radio module and perform inferences on the output signals.
3. 2. The base station of claim 1 , wherein the software radio module is configured to: receive the digital radio signals from the radio unit; duplicate the digital radio signals to obtain a first copy of the digital radio signals and a second copy of the digital radio signals; process the first copy of the digital radio signals; and transmit the second copy of the digital radio signals to the inference engine, and wherein the inference engine is configured to perform the inferences on the second copy of the digital radio signals.
4. 3. The base station of claim 1 , wherein the software radio module is configured to preprocess the digital radio signals to obtain a derivative representation of the digital radio signals and wherein the inference engine is operable to perform the inferences on the derivative representation of the digital radio signals.
5. 4. The base station of claim 3, wherein the derivative representation of the digital radio signals is one of: a spectrogram, a bitstream or a packetized stream.
6. 5. The base station of any one of claims 1 to 4, wherein the inference engine is configured to: preprocess the output signals; and perform the inferences on the preprocessed output signals.
7. 6. The base station of any one of claims 1 to 5, wherein the hardware device comprises commodity computing hardware.
8. 7. The base station of any one of claims 1 to 6, wherein the radio unit is a 5G radio unit.
9. 8. The base station of any one of claims 1 to 7, wherein the radio unit is an LTE radio unit.
10. 9. The base station of any one of claims 1 to 8, wherein the one or more processors are configured to transmit the inferences to one of a core server and an external server in communication with the base station.
11. 10. The base station of any one of claims 1 to 9, wherein the inference engine is operable to transmit the inferences to the software radio module.
12. 11 . The base station of any one of claims 1 to 9, wherein the inference engine comprises one or more deep learning inference models trained to perform the inferences.
13. 12. The base station of any one of claims 1 to 11 , wherein the inference engine is configured to perform one or more of: radio signal classification, spectrum monitoring, radio frequency fingerprinting, signal-to-noise calculation and anomaly detection.
14. 13. The base station of any one of claims 1 to 12, wherein the radio unit is a software defined radio unit.
15. 14. The base station of any one of claims 1 to 13, further comprising: a radio hardware device comprising one or more radio unit processors configured to implement the radio unit; and a radio inference engine for performing inferences on the digital radio signals received from the radio unit.
16. 15. The base station of any one of claims 1 to 14, wherein the software radio module is configured to receive configuration parameters from one of an external server and a core server based on the inferences.
17. 16. A base station for use in a radio access network (RAN) comprising: a radio hardware device comprising one or more processor configured to implement: a radio unit; and a first inference engine for performing inferences on digital radio signals received from the radio unit; a base station hardware device comprising one or more base station hardware device processors configured to implement: a software radio module in communication with the radio unit.
18. 17. The base station of claim 16, wherein the one or more radio processors are configured to transmit the inferences to the software radio module.
19. 18. The base station of claim 17, wherein the one or more base station hardware device processors are configured to transmit the received inferences to a core server in communication with the base station.
20. 19. The base station of any one of claims 16 to 18, wherein the one or more radio processors are configured to transmit the inferences to one of a core server and an external server in communication with the base station.
21. 20. The base station of any one of claims 16 to 19, wherein the one or more base station hardware processors are configured to implement a second inference engine operable to receive output signals from the software radio module and perform inferences on the output signals.
22. 21 . The base station of any one of claims 16 to 20, wherein at least one of: the one or more radio processors and the one or more base station hardware processors are configured to receive inferences from an external inference engine, in communication with the base station.
23. 22. A base station for use in a radio access network (RAN) comprising: a radio unit for transmitting digital radio signals; and a hardware device comprising one or more processors configured to implement: a software radio module in communication with the radio unit, receiving the digital radio signals; and an inference engine operable to: receive data from a receiver; and perform inferences on the data received.
24. 23. A radio access network comprising: a base station comprising: a radio unit for transmitting digital radio signals; and a hardware device comprising one or more processors configured to implement: a software radio module in communication with the radio unit, receiving the digital radio signals; and an inference engine operable to receive output signals from the software radio module and perform inferences on the output signals; and a server in communication with the base station configured to: receive the inferences from the base station.
25. 24. The radio access network of claim 23, wherein the server is configured to determine configuration parameters for the base station and transmit the configuration parameters to the base station.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202463553914P | 2024-02-15 | 2024-02-15 | |
| PCT/CA2024/050913 WO2025171462A1 (en) | 2024-02-15 | 2024-07-05 | Base station for mobile networks having integrated deep learning radiofrequency signal inference models |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB202511527D0 GB202511527D0 (en) | 2025-08-27 |
| GB2641641A true GB2641641A (en) | 2025-12-10 |
Family
ID=96772250
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2511527.0A Pending GB2641641A (en) | 2024-02-15 | 2024-07-05 | Base station for mobile networks having integrated deep learning radiofrequency signal inference models |
Country Status (2)
| Country | Link |
|---|---|
| GB (1) | GB2641641A (en) |
| WO (1) | WO2025171462A1 (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160037505A1 (en) * | 2014-07-31 | 2016-02-04 | Purdue Research Foundation | Digital radio system |
| US20240048994A1 (en) * | 2022-08-02 | 2024-02-08 | Digital Global Systems, Inc. | System, method, and apparatus for providing optimized network resources |
-
2024
- 2024-07-05 GB GB2511527.0A patent/GB2641641A/en active Pending
- 2024-07-05 WO PCT/CA2024/050913 patent/WO2025171462A1/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160037505A1 (en) * | 2014-07-31 | 2016-02-04 | Purdue Research Foundation | Digital radio system |
| US20240048994A1 (en) * | 2022-08-02 | 2024-02-08 | Digital Global Systems, Inc. | System, method, and apparatus for providing optimized network resources |
Non-Patent Citations (2)
| Title |
|---|
| Zhang et al, "Signal Detection and Classification in Shared Spectrum; A Deep Learning Approach", IEEE INFOCOM 2021-IEEE Conference on Computer Communications, Vancouver, BC, Canada, 2021, pp. 1-10, entire document * |
| Zheng et al, "Embedded Radio Frequency Fingerprint Recognition Based on A Lightweight Network", 2020 IEEE 6th International Conference on Computer and Communications (ICCC), Chengdu, China, 2020, pp. 1386-1392, entire document * |
Also Published As
| Publication number | Publication date |
|---|---|
| GB202511527D0 (en) | 2025-08-27 |
| WO2025171462A1 (en) | 2025-08-21 |
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