IP Library Granted Patent US 12,255,708
Granted Patent B2
US 12,255,708 · App. 18/554,073 · Granted Mar 18, 2025

Transmission of MU-MIMO signals

Inventors: Dino Pjanic (Malmö, SE); Andres Reial (Höllviken, SE); Harsh Tataria (Wellington, NZ); Fredrik Tufvesson (Lund, SE)
Assignee: Telefonaktiebolaget LM Ericsson (Publ)
H04B7/0452H04L25/03891
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,255,708
App. No.
18/554,073
Granted
Mar 18, 2025
Kind
B2
Abstract

There is provided mechanisms for transmission of MU-MIMO signals. A method is performed by a network node. The method includes obtaining parameter values of statistics of co-scheduled user equipment served by the network node. The statistics at least pertains to mobility of each of the user equipment. The method includes dynamically selecting a multi-user transmission configuration from candidate multi-user transmission configurations. Each candidate multi-user transmission configuration specifies at least a digital precoding mode selected from candidate digital precoding modes and an analog beam steering mode selected from candidate analog beam steering modes. The multi-user transmission configuration is selected according to the parameter values and a configured mapping of the parameter values to the candidate multi-user transmission configurations. The method includes transmitting the MU-MIMO signals towards the user equipment using the selected multi-user transmission configuration.

Claims (42)

1. A network node for transmission of multi-user multiple input multiple output, MU-MIMO, signals, the network node comprising processing circuitry, the processing circuitry being configured to cause the network node to:

obtain parameter values of statistics of co-scheduled user equipment served by the network node, the statistics at least pertaining to mobility of each of the user equipment;

dynamically select a multi-user transmission configuration from candidate multi-user transmission configurations, where each candidate multi-user transmission configuration specifies at least a digital precoding mode selected from candidate digital precoding modes and an analog beam steering mode selected from candidate analog beam steering modes, the multi-user transmission configuration being selected according to the parameter values and a configured mapping of the parameter values to the candidate multi-user transmission configurations; and

transmit the MU-MIMO signals towards the user equipment using the selected multi-user transmission configuration.

2. The network node according to claim 1 , where each of the candidate multi-user transmission configuration further specifies a scheduling mode selected from candidate scheduling modes.

3. The network node according to claim 2 , wherein each of the candidate scheduling modes pertains to scheduling using a respective one of:

round-robin scheduling, proportional fair scheduler, and maximum signal-to-noise-plus-interference ratio scheduling.

4. The network node according to claim 2 , wherein selecting the scheduling mode as part of selecting the multi-user transmission configuration is performed less frequently in time than selecting the digital precoding mode and selecting the analog beam steering mode.

5. The network node according to claim 1 , wherein each of the candidate multi-user transmission configuration further specifies a multi-user grouping mode selected from candidate multi-user grouping modes.

6. The network node according to claim 5 , wherein each of the candidate multi-user grouping modes pertains to multi-user grouping of the user equipment in terms of at least one of:

criterion for how many of the user equipment to be co-scheduled, and criterion for which of the user equipment to be co-scheduled.

7. The network node according to claim 1 , wherein the mobility of the user equipment is defined by respective user equipment movement trajectories and mobility status of the user equipment.

8. The network node according to claim 1 , wherein the statistics further pertain to at least one of:

spatial separation between the user equipment, and link quality for each of the user equipment.

9. The network node according to claim 1 , wherein the parameter values also are of network operation parameters.

10. The network node according to claim 9 , wherein the network operation parameters pertain at least to one of:

current traffic load of the network node, and currently usable number of MU-MIMO layers at the network node.

11. The network node according to claim 1 , wherein the mapping is determined from at least one of:

prior performance observations of the network node, and simulation of operating the network node.

12. The network node according to claim 1 , wherein the mapping is provided as a look-up table, where each entry in the look-up table specifies one of the candidate multi-user transmission configurations in terms of a combination of at least of one digital precoding mode and one analog beam steering mode.

13. The network node according to claim 1 , wherein, according to the mapping, the multi-user transmission configuration is selected from the candidate multi-user transmission configurations based on a comparison between the parameter values and a set of threshold values, one for each type of parameter value; and

wherein one type of parameter value is a mobility type of parameter value, and wherein, when the mobility of each of the user equipment is above the threshold value for the mobility type of parameter value, the multi-user transmission configuration is according to the mapping selected to maximize signal power in direction towards the user equipment; and

wherein, when the mobility of each of the user equipment is below the threshold value for the mobility type of parameter value, the multi-user transmission configuration is according to the mapping selected to balance maximization of signal power in direction towards the user equipment and interference suppression.

14. The network node according to claim 1 , wherein each of the candidate digital precoding modes involves controlling an overall radiation pattern defining beamforming lobes in which the MU-MIMO signals are transmitted towards the user equipment by using digital signal processing to apply mode-dependent weights to the MU-MIMO signals from different baseband ports.

15. The network node according to claim 1 , wherein the candidate digital precoding modes differ from each other in terms of signal power levels in direction towards the user equipment, overall signal power distribution within geographical vicinity of the user equipment, suppression or nulling of interference in direction towards the user equipment, and suppression or nulling of interference within geographical vicinity of the user equipment.

16. The network node according to claim 1 , wherein one or both:

each of the candidate digital precoding modes pertains to digital precoding using a respective one of: matched filter digital precoding, zero-forcing digital precoding, regularized zero-forcing digital precoding, signal-to-leakage-plus-noise ratio digital precoding; and

each of the candidate analog beam steering modes involves controlling directionality of the MU-MIMO signals by, at radio frequency front-end circuits, applying mode-dependent phase shifts to groups of antenna elements constituting a baseband port.

17. The network node according to claim 1 , wherein one or both:

the candidate analog beam steering modes differ from each other in terms of signal power levels in direction towards the user equipment, overall signal power distribution within geographical vicinity of the user equipment; and

each of the candidate analog beam steering modes pertains to analog beam steering using a respective one of: random angle analog beam steering, selection combining analog beam steering, and aggregate composite channel phase extraction analog beam steering.

18. The network node according to claim 1 , wherein the multi-user transmission configuration one or both:

defines a hybrid beamforming mode as defined by one digital precoding mode and one analog beam steering mode; and

is dynamically selectable per each scheduling instance of the user equipment.

19. A method for transmission of multi-user multiple input multiple output, MU-MIMO, signals, the method being performed by a network node ( 200 , the method comprising:

obtaining parameter values of statistics of co-scheduled user equipment served by the network node, the statistics at least pertaining to mobility of each of the user equipment;

dynamically selecting a multi-user transmission configuration from candidate multi-user transmission configurations, where each candidate multi-user transmission configuration specifies at least a digital precoding mode selected from candidate digital precoding modes and an analog beam steering mode selected from candidate analog beam steering modes, the multi-user transmission configuration being selected according to the parameter values and a configured mapping of the parameter values to the candidate multi-user transmission configurations; and

transmitting the MU-MIMO signals towards the user equipment using the selected multi-user transmission configuration.

20. A non-transitory computer storage medium storing a computer program for transmission of multi-user multiple input multiple output, MU-MIMO, signals, the computer program comprising computer code which, when run on processing circuitry of a network node, causes the network node to:

obtain parameter values of statistics of co-scheduled user equipment served by the network node, the statistics at least pertaining to mobility of each of the user equipment;

dynamically select a multi-user transmission configuration from candidate multi-user transmission configurations, where each candidate multi-user transmission configuration specifies at least a digital precoding mode selected from candidate digital precoding modes and an analog beam steering mode selected from candidate analog beam steering modes, the multi-user transmission configuration being selected according to the parameter values and a configured mapping of the parameter values to the candidate multi-user transmission configurations; and

transmit the MU-MIMO signals towards the user equipment using the selected multi-user transmission configuration.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 6, 2023
From: PJANIC, DINO; REIAL, ANDRES
To: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Reel/Frame 065146/0351 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 6, 2023
From: TATARIA, HARSH; TUFVESSON, FREDRIK
To: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Reel/Frame 065147/0688 →
Continuity (1)
Related Publication 20240204830A1 · Jun 20, 2024
References Cited (13)
US 10064217B2 · Rajagopal · 2018 [cited by examiner]
US 20170135085A1 · Kaushik · 2017 [cited by examiner]
US 20180070345A1 · Kaushik · 2018 [cited by applicant]
International Search Report and Written Opinion dated Jan. 10, 2022 for International Application No. PCT/EP2021/059058 filed Apr. 7, 2021, consisting of 10-pages. [cited by applicant]
F. Sohrabi et al.; “Hybrid Digital and analog Beamforming Design for Large Antenna Arrays,” arXiv; Jan. 25, 2016, consisting of 13-pages. [cited by applicant]
J. Choi et al.; “User Scheduling for Millimeter Wave Hybrid Beamforming Systems with Low-Resolution ADCs,” arXiv; Feb. 15, 2019, consisting of 31-pages. [cited by applicant]
L. Liang et al.; “Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems,” arXiv; Oct. 15, 2014, consisting of 10-pages. [cited by applicant]
O. El Ayach et al.; “Spatially Sparse Precoding in Millimeter Wave MIMO Systems,” arXiv; May 11, 2013, consisting of 30-pages. [cited by applicant]
S. Sun; “Analytical framework of Hybrid Beamforming in Multi-Cell Millimeter-Wave Systems,” IEEE Transactions on Wireless Communications, vol. 17, No. 11; Sep. 13, 2018, consisting of 15-pages. [cited by applicant]
S. Sun et al.; Propagation models and performance evaluation for 5G millimeter-wave bands, IEEE Transactions on Vehicular Technology, vol. 67, No. 9; Sep. 2018, consisting of 18-pages. [cited by applicant]
X. Gao et al.; Linear pre-coding performance in measured very-large MIMO channels, 2011 IEEE Vehicular Technology Conference (VTC-Fall), May 2011, consisting of 5-pages. [cited by applicant]
Z. Li et al.; “Optimizing Channel-Statistics-Based Analog Beamforming for Millimeter-Wave Multi-User Massive MIMO Downlink,” IEEE Transactions on Wireless Communications, vol. 16, No. 7; Jul. 2017, consisting of 15-page… [cited by applicant]
K. Aldubaikhy et al.; Low-Complexity User Selection Algorithms for Multiuser Transmissions in mmWave WLANS; IEEE Transactions on Wireless Communications, vol. 19, No. 4; Apr. 2020, consisting of 14-pages. [cited by applicant]