IP Library Granted Patent US 12706794
Granted Patent B2
US 12706794 · App. 18/717,428 · Granted Aug 11, 2026

Method and arrangements for supporting serving of multiple wireless devices based on prediction of radio channel estimation accuracy degredation

Inventors: Zhao Wang (Täby, SE); Rikke Apelfröjd (Knivsta, SE); Wei Zhou (Staffanstorp, SE)
Assignee: Telefonaktiebolaget LM Ericsson (publ)
H04L27/2656H04L25/0204H04W72/1263
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Quick Facts
Patent No.
US 12706794
App. No.
18/717,428
Granted
Aug 11, 2026
Kind
B2
Abstract

Methods and arrangements for supporting serving of multiple wireless devices by a radio network node of a wireless communication network. It is obtained channel estimation accuracy degradation information for at least one of the multiple wireless devices, wherein the channel estimation accuracy degradation information for respective one of the at least one wireless devices indicates a prediction of a degradation of radio channel estimation accuracy for this wireless device during TDD downlink slots. The multiple wireless devices are being scheduled in the TDD downlink slots based on the obtained channel estimation accuracy degradation information, such that the greater the predicted degradation of radio channel estimation accuracy is for a wireless device among the wireless devices, the greater influence is applied for scheduling the wireless device early among the TDD downlink slots.

Claims (26)

1 . A method, performed by one or more network nodes, for supporting serving of multiple wireless devices by a radio network node of a wireless communication network, said serving to be performed using Time Division Duplex, TDD, over a frequency carrier, and wherein the radio network node is configured to, for each of said wireless devices, estimate a downlink radio channel of a wireless device based on reference signals transmitted by the wireless device in TDD uplink slots with TDD downlink slots therebetween, wherein the method comprises:

obtaining channel estimation accuracy degradation information for at least one of said multiple wireless devices, wherein said channel estimation accuracy degradation information for respective one of said at least one wireless devices indicates a prediction of a degradation of radio channel estimation accuracy for this wireless device during TDD downlink slots; and

performing scheduling of said multiple wireless devices in said TDD downlink slots based on the obtained channel estimation accuracy degradation information, such that when the predicted degradation of radio channel estimation accuracy is greater for a wireless device among said wireless devices, greater influence is applied for scheduling the wireless device early among said TDD downlink slots.

2 . The method as claimed in claim 1 , wherein the method further comprises:

initiating to serve, by the radio network node, said multiple wireless devices based on the performed scheduling.

3 . The method as claimed in claim 1 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a difference between uplink channel estimates for separate TDD uplink slots with said reference signals, wherein when degradation over time indicated by the difference is greater for the wireless device among said wireless devices, greater degradation of the channel estimation accuracy is predicted for that wireless device.

4 . The method as claimed in claim 1 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a difference between a first channel estimation error for a first of said TDD downlink slots and a second channel estimation error for another, second, of said TDD downlink slots.

5 . The method as claimed in claim 1 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a speed of the wireless device, wherein when the speed is higher for the wireless device, greater degradation of the channel estimation accuracy is predicted for that wireless device.

6 . The method as claimed in claim 5 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is additionally predicted based on one or more channel conditions for the wireless device.

7 . The method as claimed in claim 1 , wherein the channel estimation accuracy degradation information comprises a ranking of said multiple wireless devices based on said prediction of the degradation of the radio channel estimation accuracy for one or more of said wireless devices, so that the ranking for each ranked wireless device indicates its predicted degradation.

8 . The method as claimed in claim 7 , wherein the ranking is based on a relative order among the wireless devices based on the sizes of their predicted degradation in relation to each other.

9 . The method as claimed in claim 7 , wherein the ranking is based on ranking thresholds where a highest of said ranking thresholds that a predicted degradation for a wireless device is above determines the ranking for that wireless device.

10 . The method as claimed in claim 1 , wherein said scheduling is based on multiple parameters and values thereof that determine when to schedule said wireless devices among said TDD downlink slots, wherein degradation according to the degradation information influences only one or some of said multiple parameters and values thereof, whereby said degradation information has only partial influence on when to schedule said wireless devices among said TDD downlink slots.

11 . The method as claimed in claim 1 , wherein said one or more network nodes performing the method are one or more of the following: the radio network node, one or more network nodes of the wireless communication network, one or more network nodes that are external from but communicatively connected to wireless communication network.

12 . A non-transitory computer-readable medium storing thereon a computer program comprising instructions that when executed by one or more processors cause one or more network nodes to perform the method according to claim 1 .

13 . One or more network nodes for supporting serving of multiple wireless devices by a radio network node of a wireless communication network, said serving to be performed using Time Division Duplex, TDD, over a frequency carrier, and wherein the radio network node is configured to, for each of said wireless devices, estimate a downlink radio channel of a wireless device based on reference signals transmitted by the wireless device in TDD uplink slots with TDD downlink slots therebetween, wherein said one or more network nodes are configured to:

obtain channel estimation accuracy degradation information for at least one of said multiple wireless devices, wherein said channel estimation accuracy degradation information for respective one of said at least one wireless devices indicates a prediction of a degradation of radio channel estimation accuracy for this wireless device during TDD downlink slots, and

perform scheduling of said multiple wireless devices in said TDD downlink slots based on the obtained channel estimation accuracy degradation information, such that when the predicted degradation of radio channel estimation accuracy is greater for a wireless device among said wireless devices, greater influence is applied for scheduling the wireless device early among said TDD downlink slots.

14 . The one or more network nodes as claimed in claim 13 , wherein said one or more network nodes are further configured to:

initiate to serve, by the radio network node, said multiple wireless devices based on the performed scheduling.

15 . The one or more network nodes as claimed in claim 13 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a difference between uplink channel estimates for separate TDD uplink slots with said reference signals, wherein when degradation over time indicated by the difference is greater for a wireless device among said wireless devices, greater degradation of the channel estimation accuracy is predicted for that wireless device.

16 . The one or more network nodes as claimed in claim 13 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a difference between a first channel estimation error for a first of said TDD downlink slots and a second channel estimation error for another, second, of said TDD downlink slots.

17 . The one or more network nodes as claimed in claim 13 , wherein the degradation of the radio channel estimation accuracy for respective one of said wireless devices is predicted based on a speed of the wireless device, wherein when the speed is higher for the wireless device, greater degradation of the channel estimation accuracy is predicted for that wireless device.

18 . The one or more network nodes as claimed in claim 13 , wherein the channel estimation accuracy degradation information comprises a ranking of said multiple wireless devices based on said prediction of the degradation of the radio channel estimation accuracy for one or more of said wireless devices, so that the ranking for each ranked wireless device indicates its predicted degradation.

19 . The one or more network nodes as claimed in claim 13 , wherein said scheduling is based on multiple parameters and values thereof that determine when to schedule said wireless devices among said TDD downlink slots, wherein degradation according to the degradation information influences only one or some of said multiple parameters and values thereof, whereby said degradation information has only partial influence on when to schedule said wireless devices among said TDD downlink slots.

20 . The one or more network nodes as claimed in claim 13 , wherein said one or more network nodes are one or more of the following: the radio network node, one or more network nodes of the wireless communication network, one or more network nodes that are external from but communicatively connected to wireless communication network.