Client-based storing of tuning parameters for positioning services

A second apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least perform:

• receiving at least one fingerprint information indicative of at least one identifier of a cellular and/or a non-cellular radio network, wherein based on the identifier at least one cell of the cellular radio network and/or at least one node of the non-cellular radio network is identifiable, wherein the at least one fingerprint information optionally comprises or is accompanied by a first set of tuning parameters;
• determining a second set of tuning parameters, wherein the first and/or the second set of tuning parameters respectively comprise a correction value for compensating a bias for the at least one fingerprint information, wherein based at least partially on the correction value device specific parameters influencing the at least one fingerprint information can be compensated;
• and
• outputting the determined second set of tuning parameters.

A first method, comprising:

• determining at least one fingerprint information indicative of at least one identifier of a cellular and/or a non-cellular radio network, wherein based on the identifier at least one cell of the cellular radio network and/or at least one node of the non-cellular radio network is identifiable;
• sending the at least one fingerprint information, wherein the at least one fingerprint information comprises or is accompanied by a first set of tuning parameters in case such a set of tuning parameters is stored in a memory;
• receiving a second set of tuning parameters in response to the sending of the at least one fingerprint information, wherein the first and/or the second set of tuning parameters respectively comprise a correction value for compensating a bias for the at least one fingerprint information;
• and
• storing the received second set of tuning parameters, wherein the first set of tuning parameters is updated with the second set of tuning parameters enabling to iteratively converge the set of tuning parameters to the actual bias.