Granted Patent B2

US 12,610,213 · App. 18/032,731 · Granted Apr 21, 2026

Inventors: Diomidis Michalopoulos (Munich, DE); Anil Kirmaz (Munich, DE); Oana-Elena Barbu (Aalborg, DK)

Assignee: Nokia Technologies Oy

H04W4/029H04W4/023H04W4/38

Abstract

Claims (33)

1 . A method performed by a network entity, the method comprising:

receiving, from each of a plurality of mobile entities, sensor-based measurements and location information usable for surroundings intelligence collaboration;

assigning the plurality of mobile entities into respective capability groups based on both sensor capabilities and processing capabilities of the plurality of mobile entities, wherein the assigning comprises distinguishing mobile entities having extended sensing capabilities from mobile entities having zero sensing capabilities;

classifying a plurality of geographical areas into a plurality of area groups by allocating the geographical areas to the area groups based on (i) the assigned capability groups and (ii) positions of the plurality of mobile entities, wherein each area group defines a degree to which a predetermined minimum amount of combined spatiotemporal surroundings characteristics is enabled;

receiving, from a first mobile entity, a mobile-oriented surrounding-intelligence request for combined spatiotemporal surroundings characteristics related to surroundings of the first mobile entity, the request including information on an intention for a movement change of the first mobile entity, the information on the intention comprising (i) a type of the movement change, (ii) a direction of the movement change, (iii) an intensity of the movement change, and (iv) a validity-time interval for the intention;

detecting, based on the classified area groups, that the first mobile entity is entering a specific geographical area classified into an area group defining that the predetermined minimum amount of the combined spatiotemporal surroundings characteristics is unavailable;

generating the combined spatiotemporal surroundings characteristics by analyzing (i) a position of the first mobile entity, (ii) positions of at least one second mobile entity distinct from the first mobile entity, and (iii) the received intention information, and by creating predicted future locations of the at least one second mobile entity, wherein the combined spatiotemporal surroundings characteristics comprise:

a predicted future location of the at least one second mobile entity,

time information indicative of a predicted future time corresponding to the predicted future location, and

a trust metric comprising a certainty level or variance defining an accuracy of the predicted future location; and

transmitting, towards the first mobile entity, the combined spatiotemporal surroundings characteristics specific to the intention of the first mobile entity, and warning information indicating that the specific geographical area lacks the predetermined minimum amount of combined spatiotemporal surroundings characteristics.

2 . The method of claim 1 , wherein the information on the intention further comprises time interval information indicative of an intention validity time interval for the movement change of the first mobile entity.

3 . The method of claim 2 , wherein generating the combined spatiotemporal surroundings characteristics comprises creating surroundings characteristics related to a section of the surroundings of the first mobile entity that is relevant to the movement change indicated by the intention.

4 . The method of claim 3 , wherein generating the combined spatiotemporal surroundings characteristics further comprises matching sensor-collected information reported by the first mobile entity with positions of the at least one second mobile entity to refine the predicted future location.

5 . The method of claim 4 , wherein the trust metric comprises a variance of the predicted future location generated based on cellular measurements and sensor-derived mobility information.

6 . The method of claim 5 , wherein assigning the plurality of mobile entities into the capability groups comprises distinguishing mobile entities having sensing capabilities from mobile entities having zero sensing capabilities.

7 . The method of claim 6 , wherein classifying the plurality of geographical areas comprises allocating the geographical areas into the plurality of area groups based on both the capability groups and positions of respective mobile entities assigned to the capability groups.

8 . The method of claim 7 further comprising, prior to generating the combined spatiotemporal surroundings characteristics, transmitting a location request that includes a demand for sensor measurements with respect to nearby mobile entities, in response to determining that additional information is required for analytics.

9 . The method of claim 8 , wherein generating the combined spatiotemporal surroundings characteristics further comprises receiving, from the first mobile entity, information on a state of the at least one second mobile entity and refining the predicted future location based on the received state information.

10 . The method of claim 9 , wherein transmitting the warning information occurs responsive to detecting that the first mobile entity is entering an area in which the surrounding intelligence information is below a predetermined minimum level, and wherein the warning information indicates that no predetermined minimum amount of combined spatiotemporal surroundings characteristics is available for that area.

11 . An apparatus of a network entity, the apparatus comprising:

at least one processor; and

at least one non-transitory memory storing instructions that, when executed with the at least one processor, cause the apparatus to:

receive, from each of a plurality of mobile entities, sensor-based measurements and location information usable for surroundings intelligence collaboration;

assign the plurality of mobile entities into respective capability groups based on both sensor capabilities and processing capabilities of the plurality of mobile entities, wherein the assigning comprises distinguishing mobile entities having extended sensing capabilities from mobile entities having zero sensing capabilities;

classify a plurality of geographical areas into a plurality of area groups by allocating the geographical areas to the area groups based on (i) the assigned capability groups and (ii) positions of the plurality of mobile entities, wherein each area group defines a degree to which a predetermined minimum amount of combined spatiotemporal surroundings characteristics is enabled;

receive, from a first mobile entity, a mobile-oriented surrounding-intelligence request for combined spatiotemporal surroundings characteristics related to surroundings of the first mobile entity, the request including information on an intention for a movement change of the first mobile entity, the information on the intention comprising (i) a type of the movement change, (ii) a direction of the movement change, (iii) an intensity of the movement change, and (iv) a validity-time interval for the intention;

detect, based on the classified area groups, that the first mobile entity is entering a specific geographical area classified into an area group defining that the predetermined minimum amount of the combined spatiotemporal surroundings characteristics is unavailable;

generate the combined spatiotemporal surroundings characteristics by analyzing (i) a position of the first mobile entity, (ii) positions of at least one second mobile entity distinct from the first mobile entity, and (iii) the received intention information, and by creating predicted future locations of the at least one second mobile entity, wherein the combined spatiotemporal surroundings characteristics comprise:

a predicted future location of the at least one second mobile entity,

time information indicative of a predicted future time corresponding to the predicted future location, and

a trust metric comprising a certainty level or variance defining an accuracy of the predicted future location; and

transmit, towards the first mobile entity, the combined spatiotemporal surroundings characteristics specific to the intention of the first mobile entity, and warning information indicating that the specific geographical area lacks the predetermined minimum amount of combined spatiotemporal surroundings characteristics.

Assignments (4)

Continuity (1)

References Cited (34)