IP Library Granted Patent US 12695522
Granted Patent B2
US 12695522 · App. 18/289,624 · Granted Jul 28, 2026

Method for an interference-aware and adaptive transmission and reception strategy

Inventor: Hamed Farhadi (Stockholm, SE)
Assignee: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
H04B17/345H04B7/0626H04L1/0003H04W24/10
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Quick Facts
Patent No.
US 12695522
App. No.
18/289,624
Granted
Jul 28, 2026
Kind
B2
Abstract

A computer implemented method performed by a receiving node ( 110 ) in a wireless communications network ( 100 ), for detecting information in a first transmit signal ( 121 ) sent from a primary transmitting node ( 120 ) in the network, where the first transmit signal is comprised in a received signal ( 112 ). The received signal also comprises one or more interfering secondary transmit signals ( 131, 132 ). The method comprises determining a received signal quality associated with at least one of the secondary transmit signals ( 131, 132 ), obtaining a computer implemented classification model configured to classify a transmit signal ( 121, 131 ) into a successive interference cancelation, SIC, group based on the received signal quality, classifying the at least one secondary transmit signal ( 131, 132 ) using the classification model, and, if one or more of the secondary transmit signals are classified into the SIC group, detecting the information in the first transmit signal ( 121 ) based on a SIC information decoding strategy involving the one or more secondary transmit signals ( 131, 132 ) classified into the SIC group.

Claims (46)

1 . A computer implemented method, performed by a receiving node in a wireless communications network, the method comprising:

receiving a combined signal comprising a transmit signal and a first interfering signal; and

detecting information in the transmit signal by performing a process that comprises:

determining a signal quality associated with the first interfering signal;

using a computer implemented classification model to classify the interfering signal based on the determined signal quality associated with the interfering signal; and

as a result of the interfering signal being classified into a successive interference cancelation (SIC) group by the computer implemented classification model, detecting the information in the transmit signal using a SIC information decoding strategy involving the first interfering signal,

wherein based on the determined signal quality associated with the interfering signal, the computer implemented classification model is configured to classify the first interfering signal into a group selected from a set of groups consisting of: i) the SIC group and ii) a treat interference as noise (TIN) group.

2 . The method of claim 1 , wherein

detecting the information in the transmit signal further comprises detecting the information using a direct decoding strategy involving a second interfering signal classified into the TIN group.

3 . The method of claim 1 , wherein

determining the signal quality comprises determining the signal quality based on: i) signal to interference and noise ratio (SINR), ii) channel state information (CSI), iii) modulation and coding scheme (MCS), iv) received signal power, v) one or more node positions, and/or transmitted power.

4 . The method of claim 1 , wherein

using the computer implemented classification model comprises using the computer implemented classification model as a model based on any of a look up table and an analytical function.

5 . The method of claim 1 , wherein

the computer implemented classification model is based on: a neural network, a random forest structure, a support vector machine model, a logistic regression algorithm, a Bayes algorithm, a decision tree algorithm, and/or a K-nearest neighbors' algorithm.

6 . The method of claim 1 , wherein

the computer implemented classification model was trained using a-priori recorded values of received signal quality.

7 . The method of claim 1 , wherein

the method further comprises training the computer implemented classification model using recorded values of received signal quality and corresponding detection performance of detecting the information of the transmit signal.

8 . The method of claim 1 , wherein

the computer implemented classification model is configured to determine a transmit parameter for an upcoming transmission of a second transmit signal based on the signal quality, and the method further comprises:

determining the transmit parameter for the upcoming transmission of the second signal using the classification model; and

communicating the transmit parameter to a transmitting node.

9 . The method of claim 8 , wherein

the transmit parameter indicates: a modulation and coding scheme (MCS), a transmit power, and/or a hardware parameter.

10 . The method of claim 8 , wherein

determining the transmit parameter comprises determining the transmit parameter based on a predicted detection performance of detecting the information of the transmit signal.

11 . The method of claim 1 , wherein

using the computer implemented classification model to classify the interfering signal based on the determined signal quality associated with the interfering signal comprises classifying the interfering signal based on a predicted detection performance of detecting the information in the transmit signal conditioned on the classification of the first interfering signal.

12 . The method of claim 1 , wherein

using the computer implemented classification model to classify the interfering signal based on the determined signal quality associated with the interfering signal comprises comprising classifying the at least one secondary transmit signal using the classification model based on a predicted detection performance metric comprising any of spectral efficiency, energy consumption, power levels, processing resources, and detection error probability.

13 . The method of claim 1 , wherein the wireless communications network is an orthogonal frequency-division multiplexing, OFDM, system, and wherein the transmit signals are on a same resource block in the OFDM system.

14 . The method of claim 1 , performed by a next generation node B, gNB, of a third generation partnership program, 3GPP, defined wireless communication system.

15 . The method of claim 1 , performed by a wireless device of a 3GPP defined wireless communication system.

16 . A non-transitory computer readable storage medium storing a computer program comprising program code means for configuring a control unit to perform the method of claim 1 .

17 . A control unit for a receiving node in a wireless communications network the control unit comprising:

processing circuitry;

a network interface coupled to the processing circuitry; and

a memory coupled to the processing circuitry, wherein the memory comprises machine readable computer program instructions that, when executed by the processing circuitry, causes the network node to:

receive a combined signal comprising a transmit signal and a first interfering signal; and

detect information in the transmit signal by performing a process that comprises:

determining a signal quality associated with the first interfering signal, using a computer implemented classification model to classify the interfering signal based on the determined signal quality associated with the interfering signal; and

as a result of the interfering signal being classified into a successive interference cancellation (SIC) group by the computer implemented classification model, detecting the information in the transmit signal using a SIC information decoding strategy involving the first interfering signal,

wherein based on the determined signal quality associated with the interfering signal, the computer implemented classification model is configured to classify the first interfering signal into a group selected from a set of groups consisting of: i) the SIC group and ii) a treat interference as noise (TIN) group.

18 . A wireless device comprising the control unit of claim 17 .

19 . An access node in a wireless communication system comprising the control unit of claim 17 .