Methods and apparatus for evaluating behaviour of communication device in view of antenna patterns thereof

1 . A method for evaluating a behaviour of a communication device in view of an antenna pattern thereof, the method comprising:

receiving a first dataset representing a first set of values of at least two parameters relating to a first antenna pattern;

receiving a second dataset representing a second set of values of the at least two parameters relating to a second antenna pattern being formed by the communication device;

relating the first dataset and the second dataset using a metric to obtain a relationship as a result of the metric being applied; and

evaluating the behaviour of the communication device using the relationship,

wherein the evaluating the behaviour of the communication device is performed at least in part at:

the communication device;

a part of a test and measurement equipment;

a different node comprising information about the first antenna pattern and the second antenna pattern; or

a network controller,

wherein the evaluating the behaviour of the communication device is a basis of a selection of a beam pattern being formed to optimize a link performance existing between the communication device and another communication device according to a link performance criterion, and

wherein the metric is based on at least one of:

a sample mean providing a first mean value of a parameter of the first dataset and a second mean value of the parameter of the second dataset, so as to relate the first mean value and the second mean value;

a sample variance providing a variance value of values of a parameter of the second dataset in relation to values of the parameter in the first dataset;

a sample standard variation providing a standard variation value of values of a parameter of the second dataset in relation to values of the parameter in the first dataset;

a distribution of a sample mean providing for a distribution value of values of the parameter compared to a mean value of the parameter;

a hypothesis testing;

a similarity measure providing for a similarity value indicating a similarity between the first dataset and the second dataset;

a dissimilarity measure providing for a dissimilarity value indicating a dissimilarity between the first dataset and the second dataset;

a distance measure providing for a distance value indicating a distance between the first dataset and the second dataset;

a probability distribution function (PDF);

a cumulative distribution function; or

a complementary cumulative distribution function,

or

wherein the method further comprises matching a structure of at least one of the first dataset and the second dataset based on the metric so as to fit to a common data space or data structure prior to relating the first dataset and the second dataset, and wherein the matching the structure of the at least one of the first dataset and the second dataset comprises:

an adaptation of parameter value units of the first dataset to match parameter value units of the second dataset;

an adaptation of the parameter value units of the second dataset to match the parameter value units of the first dataset; or

an adaptation of the parameter value units of the first dataset or the second dataset to commonly match the parameter value units of a third dataset.

2 . The method of claim 1 , wherein a first parameter and a second parameter of the at least two parameters relate to a same or a different physical quantity.

3 . The method of claim 2 , wherein the first dataset relates to a first beam pattern and the second dataset relates to a second beam pattern, and wherein the first set of values and the second set of values represent different and corresponding measurement scenarios for the first beam pattern and the second beam pattern.

4 . The method of claim 3 , wherein one of the first parameter and the second parameter relate to at least one of:

a rotation of the communication device with respect to a link antenna;

a beamformer tuning;

a primary component carrier (PCC) assignment;

a secondary component carrier (SCC) assignment;

an equivalent isotropic radiated power (EIRP); and

values derived thereof.

5 . The method of claim 1 , wherein a first parameter and a second parameter of the at least two parameters relate to a same physical quantity, wherein the first parameter is related to a first property of the same physical quantity and wherein the second parameter is related to a second, different property of the same physical quantity.

6 . The method of claim 1 , wherein the first antenna pattern is generated by the communication device under a first condition, wherein the second antenna pattern is generated by the communication device under a second condition such that evaluating the behaviour comprises a consideration of a difference between the first condition and the second condition, and

wherein the first condition or the second condition relates to at least one of an operating mode of the communication device, a battery level of the communication device, a relative localization or orientation of the communication device in space or wherein different conditions relate to at least one of different temperatures, different pressures and different magnetic fields.

7 . The method of claim 1 , further comprising:

receiving a dataset representing a third set of values of the at least two parameters relating to a third antenna pattern;

such that the metric is used to relate the first dataset, the second dataset and the third dataset to obtain the relationship.

8 . The method of claim 1 , wherein at least one of the at least two parameters is related to at least one of:

a width of the second antenna pattern;

a width of a main lobe of the second antenna pattern;

a width of a sidelobe of the second antenna pattern;

a width of a null of the second antenna pattern;

an absolute direction of at least a part of the second antenna pattern;

a relative direction of at least a part of the second antenna pattern; or

a polarisation of at least a part of the second antenna pattern.

9 . The method of claim 1 ,

wherein the behaviour is evaluated in view of a first criterion of the link performance criterion using the metric as a first metric and in view of a second criterion of the link performance criterion using a second metric; or

wherein the behaviour is evaluated in view of a same criterion using the first metric and using the second metric in combination.

10 . The method of claim 1 , wherein the first dataset is at least a part of a reference dataset; wherein relating the first dataset and the second dataset comprises a comparison between the first dataset and the second dataset;

such that the relationship comprises a comparison result; and

such that evaluating the comparison result comprises a judging whether the communication device is in conformity with the reference dataset.

11 . The method of claim 1 ,

wherein the first antenna pattern is formed by the communication device

such that the relationship indicates a comparison result between the first antenna pattern and the second antenna pattern of the communication device; and

such that evaluating the behaviour comprises a judging whether to select the first antenna pattern or the second antenna pattern or a combination thereof for communication using the communication device.

12 . The method of claim 1 , wherein the evaluating the behaviour is performed at the network controller and is performed for a plurality of communication devices so as to orchestrate behaviours of the plurality of communication devices.

13 . The method of claim 1 , wherein the evaluating the behaviour is performed at a network and/or at a test equipment and communicated, as a feedback signal, to the communication device.

14 . A device for evaluating a behaviour of a communication device in view of an antenna pattern thereof, the device comprising at least one processor and a memory storing a set of instructions, and the set of instructions, when executed by the at least one processor is configured to perform a method comprising:

receiving a first dataset representing a first set of values of at least two parameters relating to a first antenna pattern;

receiving a second dataset representing a second set of values of the at least two parameters relating to a second antenna pattern being formed by the communication device;

relating the first dataset and the second dataset using a metric to obtain a relationship as a result of the metric being applied; and

evaluating the behaviour of the communication device using the relationship,

wherein the evaluating the behaviour of the communication device is performed at least in part at:

the communication device;

a part of a test and measurement equipment;

a different node comprising information about the first antenna pattern and the second antenna pattern; or

a network controller,

wherein the evaluating the behaviour of the communication device is a basis of a selection of a beam pattern being formed to optimize a link performance existing between the communication device and another communication device according to a link performance criterion, and

wherein the metric is based on at least one of:

a sample mean providing a first mean value of a parameter of the first dataset and a second mean value of the parameter of the second dataset, so as to relate the first mean value and the second mean value;

a sample variance providing a variance value of values of a parameter of the second dataset in relation to values of the parameter in the first dataset;

a sample standard variation providing a standard variation value of values of a parameter of the second dataset in relation to values of the parameter in the first dataset;

a distribution of a sample mean providing for a distribution value of values of the parameter compared to a mean value of the parameter;

a hypothesis testing;

a similarity measure providing for a similarity value indicating a similarity between the first dataset and the second dataset;

a dissimilarity measure providing for a dissimilarity value indicating a dissimilarity between the first dataset and the second dataset;

a distance measure providing for a distance value indicating a distance between the first dataset and the second dataset;

a probability distribution function (PDF);

a cumulative distribution function; or

a complementary cumulative distribution function,

or

wherein the method further comprises matching a structure of at least one of the first dataset and the second dataset based on the metric so as to fit to a common data space or data structure prior to relating the first dataset and the second dataset, and wherein the matching the structure of the at least one of the first dataset and the second dataset comprises;

an adaptation of parameter value units of the first dataset to match parameter value units of the second dataset;

an adaptation of the parameter value units of the second dataset to match the parameter value units of the first dataset; or

an adaptation of the parameter value units of the first dataset or the second dataset to commonly match the parameter value units of a third dataset.