Patent ID: 11882460
Assignee: ROBERT BOSCH GMBH
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 10:
11. An apparatus (200) for training a deep neural network (GEN), wherein the apparatus (200) comprises:
a provisioning unit (202) being configured to provide at least one training set (ts), wherein the at least one training set ts) comprises a low-resolution QoS map (lrM2) associated with a radio communications network (RCN2), a high-resolution QoS map (hrM2) associated with the radio communications network (RCN2), and environment information (ei2) characterizing the environment (E2) of the radio communications network (RCN2);
a determination unit (204) being configured to propagate input data comprising the low-resolution QoS map (lrM2) and the environment information (ei2) through the deep neural network (GEN), wherein the input data is provided as input parameter in an input section of the deep neural network (GEN), and wherein in an output section of the deep neural network (GEN) at least one neural network based high-resolution QoS prediction map (hrPM2) is provided;
a discriminator unit (206) being configured to determine a comparison (c) by comparing the neural network based high-resolution QoS prediction map (hrPM2) and the high-resolution QoS map (hrM2) of the training set (ts); and
a training unit (208) being configured to train the deep neural network (GEN) with the training set (ts) in dependence of the comparison (c).