SCell selection and optimization for telecommunication systems

An apparatus, comprising:

• one or more processors;
• and
• one or more memories including computer program code,
• wherein the one or more memories and the computer program code are configured, with the one or more processors, to cause the apparatus to perform operations comprising:
• forming, at a radio access network node, user equipment-related measurements taken on a primary cell in a wireless communication system into a set of data, wherein the primary cell also overlaps with one or more secondary cells in the wireless communication system, wherein the user equipment-related measurements are for a specific user equipment in the primary cell, and wherein the primary cell is formed by the radio access network node;
• sending the set of data toward a secondary cell prediction module for the secondary cell module to determine information suitable to enable secondary cell selection for the specific user equipment;
• receiving the information from the secondary cell prediction module, the information further allowing the radio access network node to inform the selected user equipment of selected at least one of the one or more secondary cells to be used for secondary cell selection for the specific user equipment;
• and
• sending by the radio access network node indication of the at least one selected secondary cell toward the specific user equipment.

An apparatus, comprising:

• one or more processors;
• and
• one or more memories including computer program code,
• wherein the one or more memories and the computer program code are configured, with the one or more processors, to cause the apparatus to perform operations comprising:
• receiving multiple sets of data, the multiple sets of data comprising user equipment-related measurements taken on a primary cell in a wireless communication system and corresponding measurements of channel quality for one or more secondary cells, wherein the primary cell overlaps with the one or more secondary cells in the wireless communication system and wherein the user equipment-related measurements of the primary cell are for user equipment in the primary cell;
• performing training of a machine learning algorithm at least by applying the multiple sets of data to the machine learning algorithm, wherein the machine learning algorithm is configured to output a prediction of achievable channel quality for each of the one or more secondary cells;
• and
• outputting, in response to training being completed on the machine-learning algorithm, information defining the trained machine-learning algorithm.