System and apparatus for reporting measurement in a network and a method in association thereto

Abstract

System (100), apparatus (102) and a method (300) for predicting measurement in a network are disclosed. The method (300) comprises an input step (302) which comprises receiving at least one input signal comprising a mapping table including a timing window based on a user device identity; a processing step (304) which comprises at least one of: performing an Artificial Intelligence / Machine Learning (AI / ML) inference; comparing the AI / ML inference with the timing window; and determining whether the AI / ML inference is performed within the timing window; wherein: when the AI / ML inference is determined to be within the timing window, no task is performed in relation to radio resource management (RRM) measurement and reporting, and when otherwise, at least one processing task is performed in relation to RRM measurement and reporting.

Description

2024048211SYSTEM AND APPARATUS FOR REPORTING MEASUREMENT IN A NETWORK AND A METHOD IN ASSOCIATION THERETOField Of Invention

[0001] The present disclosure generally relates to one or both of a system and an apparatus for reporting measurement in a network in association with, for example, a User Equipment (UE) usable for communication. The present disclosure further relates a method which can be associated with the system and / or the apparatus.Background of Invention

[0002] Generally, energy efficiency and power saving would be helpful in communication networks, for example, a 3rd Generation Partnership Project (3GPP) 5G (fifth generation) New Radio (NR) standard-based telecommunications network.

[0003] Generally, radio resource management (RRM) measurements are performed when a pre-configured event is triggered, in which a User Equipment (UE) performs the measurements and reports it to the network. However, current techniques may not address the issue of having significant overhead in signaling for such RRM measurements and reporting. Thus, the current techniques may not facilitate energy efficiency and power saving in an optimal manner.

[0004] The present disclosure contemplates that it would be helpful to address or at least mitigate one or more issues in relation to conventional techniques for facilitating energy efficiency and power saving when reporting measurement (for example RRM measurement) in a network.Summary of the Invention

[0005] According to a first aspect of the present invention, there is provided a method for reporting measurement in a network, the method comprising: an input step which comprises receiving at least one input signal comprising a mapping table including a2024048212 timing window based on a user device identity; a processing step which comprises at least one of: performing an Artificial Intelligence / Machine Learning (AI / ML) inference; comparing the AI / ML inference with the timing window; and determining whether the AI / ML inference is performed within the timing window; wherein: when the AI / ML inference is determined to be within the timing window, no task is performed in relation to radio resource management (RRM) measurement and reporting, and when otherwise, at least one processing task is performed in relation to RRM measurement and reporting.

[0006] Advantageously, the method as described herein can allow a user equipment (UE) or a user device to save on radio resource management (RRM) measurements and reporting which can lead to UE energy savings. In addition, the reduction of such measurements and reporting can also allow signaling overhead to be saved.

[0007] In an embodiment, the user device identity comprises a model identity and / or a functionality identity.

[0008] In an embodiment, the functionality identity comprises a plurality of parameters based on at least one of: a user device mobility, a user device operating beam and / or a user device location.

[0009] In an embodiment, the method further comprises generating a message to indicate whether the AI / ML inference is performed within the timing window; and communicating the message to notify whether the user device performs the processing task in relation to RRM measurement and reporting.

[0010] In an embodiment, one or more user equipment (UE) can be configured to perform the input step and the processing step.

[0011] In an embodiment, one or more base stations can be configured to communicate the input signal(s). For example, the base station(s) can correspond to one or more Next Generation Node B (gNB).2024048213

[0012] In an embodiment, the at least one gNB can be configured to communicate the at least one input signal via at least one of: a system information block (SIB) message, Layer 1 signaling, Layer 2 signaling and / or Layer 3 signaling.

[0013] In an embodiment, there is provided a computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method of the first aspect.

[0014] In an embodiment, there is provided a computer readable storage medium having data stored therein representing software executable by a computer, the software including instructions, when executed by the computer, to carry out the method of the first aspect.

[0015] In an embodiment, there is provided an apparatus for reporting measurement in a network comprising: a first module configured to receive at least one input signal comprising a mapping table including a timing window based on a user device identity; a second module configured to at least one of process and facilitate the method of the first aspect to generate at least one output signal; and a third module configured to communicate at least one output signal, wherein the output signal corresponds to a control signal for reporting measurement in a network in relation to Radio Resource Management (RRM) measurement and reporting.

[0016] In an embodiment, the apparatus corresponds to a User Equipment (UE) communicable with a device corresponding to a base station, wherein the base station corresponds to a Next generation Node B (gNB) configured to communicate the at least one input signal to the UE.

[0017] In an embodiment, there is provided a system comprising: at least one apparatus(es); and at least one device(s), wherein the apparatus(es) and the2024048214 device(s) are capable of being coupled via at least one of wired coupling and wireless coupling.

[0018] Advantageously, the system as described herein can provide fundamental mechanisms of interworking and data information flow in radio access network collaboration for AI / ML support. Accordingly, AI / ML performance for wireless communication can be improved using the proposed gNB-UE collaboration operation for AI / ML support.Brief Description of the Drawings

[0019] Embodiments of the disclosure are described hereinafter with reference to the following drawings, in which:

[0020] Fig. 1A shows a schematic diagram illustrating a system for reporting measurement in a network which can include at least one apparatus, according to an embodiment of the invention.

[0021] Fig. 1 B shows an example scenario in association with the system of Fig. 1A, according to an embodiment of the invention.

[0022] Fig. 2 shows a schematic diagram illustrating the device of Fig. 1A in further detail, according to an embodiment of the invention.

[0023] Fig. 3 shows a method in association with the system of Fig. 1A, according to an embodiment of the invention.

[0024] Fig. 4A to Fig. 4C show schematic diagrams illustrating the flow of information in association with the method of Fig. 3, according to an embodiment of the invention2024048215Detailed Description

[0025] The present specification discloses apparatus and / or device for performing the operations of the methods. Such apparatus and / or device may be specially constructed for the required purposes, or may comprise a computer or other device selectively activated or reconfigured by a computer program stored in the computer. The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various machines may be used with programs in accordance with the teachings herein. Alternatively, the construction of more specialized apparatus to perform the required method steps may be appropriate. The structure of a computer will appear from the description below.

[0026] In addition, the present specification also implicitly discloses a computer program, in that it would be apparent to the person skilled in the art that the individual steps of the method described herein may be put into effect by computer code. The computer program is not intended to be limited to any particular programming language and implementation thereof. It will be appreciated that a variety of programming languages and coding thereof may be used to implement the teachings of the disclosure contained herein. Moreover, the computer program is not intended to be limited to any particular control flow. There are many other variants of the computer program, which can use different control flows without departing from the spirit or scope of the disclosure.

[0027] Furthermore, one or more of the steps of the computer program may be performed in parallel rather than sequentially. Such a computer program may be stored on any computer readable medium. The computer readable medium may include storage devices such as magnetic or optical disks, memory chips, or other storage devices suitable for interfacing with a computer. The computer readable medium may also include a hard-wired medium such as exemplified in the Internet system, or wireless medium such as exemplified in the mobile telephone system. The computer program when loaded and executed on such a computer effectively results in an apparatus and / or a device that implements the steps of the preferred method.2024048216

[0028] The present disclosure generally contemplates the facilitation and optimization of a network (for example in association with 3GPP based standard / specification etc.) and / or user equipment (UE) efficiency (for example energy efficiency or power saving), in accordance with an embodiment of the invention. Specifically, the present disclosure contemplates the possibility of conducting and reporting measurements (e.g. Radio Resource Management RRM measurement) by a user device (or UE) to a cell (or base station or gNB) in connection with 3GPP standard(s). Radio Resource Management (RRM) can, for example, correspond to / be related to the system level management of co-channel interference, radio resources, and other radio transmission characteristics in wireless communication systems.

[0029] The present disclosure generally contemplates that Artificial Intelligence / Machine Learning (AI / ML) can be an important technology in 3GPP, specifically Rel-19 in RAN2 for New Radio (NR)-Air Interface, and AI / ML can facilitate network optimization and energy efficient networks.

[0030] The present disclosure further contemplates that RRM measurements are performed when a pre-configured event is triggered, in which the UE performs the measurements and reports it to the network. This may cause significant overhead in measurement reporting.

[0031] The present disclosure contemplates a mapping between the UE’s model functionality identity and timing window when they are received from the network, in order for the UE to determine AI / ML inference within the timing window. Thus, the present disclosure contemplates the possibility of a method to reduce RRM measurement and reporting. For example, when a mapping between UE’s model functionality identity and timing window is received from the network, the UE can determine AI / ML inference within the timing window.2024048217

[0032] The foregoing will be discussed in further detail with reference to Fig. 1 to Fig. 4 hereinafter.

[0033] Referring to Fig. 1A, a schematic diagram illustrating a system 100 for reporting measurement in a network is shown, according to an embodiment of the invention. The system 100 can, for example, be suitable for facilitating energy and improve power efficiency, in accordance with an embodiment of the invention.

[0034] As shown, the system 100 can include one or more apparatuses 102, at least one device 104 and, optionally, a communication network 106, in accordance with an embodiment of the invention.

[0035] The apparatus(es) 102 can be coupled to the device(s) 104. Specifically, the apparatus(es) 102 can, for example, be coupled to the device(s) 104 via the communication network 106, in accordance with an embodiment of the invention.

[0036] In one embodiment, the apparatus(es) 102 can be coupled to the communication network 106 and the device(s) 104 can be coupled to the communication network 106. Coupling can be by manner of one or both of wired coupling and wireless coupling. The apparatus(es) 102 can, in general, be configured to communicate with the device(s) 104 via the communication network 106, according to an embodiment of the invention.

[0037] The apparatus(es) 102 can, for example, be associated with or correspond to or include one or more user equipment (UE) which can carry one or more computers, in accordance with an embodiment of the invention. For example, an apparatus 102 can correspond to a UE (or user device) carrying at least one computer (e.g. an electronic device or module having computing capabilities such as an electronic mobile device which can be carried into a vehicle or an electronic module which can be installed in a vehicle, in accordance with an embodiment of the invention) which can be configured to perform one or more processing tasks in association with the UE (or user device), in accordance with an embodiment of the invention.2024048218

[0038] The device(s) 104 can, for example, be associated with / correspond to at least one base station, where the at least one base station can be a Next Generation Node B (gNB). Moreover, the device(s) 104 can, for example, be configured to carry / be associated with / include one or more computers (e.g., an electronic device / module having computing capabilities) which can, for example, be configured to perform one or more processing tasks in association with the base station. The device(s) 104 can be configured to generate one or more input signals which can be communicated to the apparatus(es) 102, in accordance with an embodiment of the invention. This will be discussed later in further detail in the context of an example scenario, in accordance with an embodiment of the invention.

[0039] In an embodiment, the apparatus(es) 102 can, for example, be configured to receive one or more input signals and perform at least one processing task based on the input signal(s) in a manner to generate one or more output signals. The input signal(s) can, for example, be generated by the device(s) 104 and communicated from the device(s) 104 and received by the apparatus(es) 102, in accordance with an embodiment of the invention. In an alternate embodiment, the input signal may be generated from a separate apparatus(es) 102. The input signal can be a signal associated with a mapping table including a timing window based on a user device identity. As a possible option, the output signal(s) can, for example, be communicated from the device(s) 104, in accordance with an embodiment of the invention. The output signal may correspond to a control signal for reporting measurement in a network in relation to Radio Resource Management (RRM) measurement and reporting. The apparatus(es) 102 will be discussed later in further detail with reference to Fig. 2, according to an embodiment of the invention.

[0040] The communication network 106 can, for example, correspond to an Internet communication network, a cellular-based communication network, a wired-based communication network, a Global Navigation Satellite System (GNSS) based communication network, a wireless-based communication network, or any combination thereof. Communication (e.g., between the apparatuses 102 and / or between the apparatus(es) 102 and the device(s) 104) via the communication2024048219 network 106 can be by manner of one or both of wired communication and wireless communication.

[0041] As mentioned, the apparatus(es) 102 can, for example, be configured to receive at least one input signal and perform at least one processing task in association with dynamic / adaptive / gradual control on the input signal(s) in a manner so as to generate at least one output signal. Moreover, the device(s) 104 can, for example, be configured to generate (and communicate) the input signal(s) to the device(s) 104, in accordance with an embodiment of the invention. In an alternate embodiment, a separate apparatus(es) 102 may be configured to generate (and communicate) the input signal(s). Accordingly, the apparatus(es) 102 or device(s) 104 can generate a mapping table including a timing window based on a user device (or UE) identity and communicate or transmit at least one input signal associated with the mapping table to the apparatus(es) 102. This will be discussed, in accordance with an embodiment of the invention, in the context of an example scenario with reference to Fig. 1 B, hereinafter.

[0042] Fig. 1 B shows an example scenario in association with the system of Fig. 1A, according to an embodiment of the invention. Specifically, Fig. 1 B shows an example embodiment of a measurement and reporting model (for example radio resource management RRM measurement) for a User Equipment UE (or user device). As shown in the Figure, a User Equipment UE (or a user device) can receive configurations from a network (or base station or gNB) and perform or execute measurements using quantities such as Reference Signals Received Power (RSRP), Reference Signals Received Quality (RSRQ), Signal to Interference-plus Noise Ratio (SINR) and Received Signal Strength Indicator (RSSI) at Layer 1 (L1 ) and not at Layer 3 (L3). L3 measurements may be used to indicate that L3 performs filtering on the values and does the final reporting. For example, L3 can manage event-based reporting to avoid back-and-forth behavior and unnecessary reporting. It may also evaluate reporting criteria to decide if a report needs to be sent, whereby the criteria can include hysteresis except for thresholds.20240482110

[0043] According to an example embodiment, L1 may report some measurements to quickly react to changing channel conditions, for example beam management. These may be referred to as L1 -Received Signal Code Power (RSCP) and L1-SINR while such L1 reports may be part of Channel State Information (CSI). Channel Start Information Reference Signal (CSI-RS) measurements and L1 reporting can be periodic, semi-periodic (typically activated or deactivated by medium access control MAC signaling) or aperiodic (typically triggered by downlink control information DCI signaling). L1 reporting may be on Physical Uplink Control Channel (PUCCH) which can be periodic or semi-periodic. L1 reporting can also be on Physical Uplink Shared Channel (PUSCH) which can also be aperiodic or semi-periodic. Events for measurements can be triggered based on thresholds, hysteresis and sometimes offsets. For example, in events A1 / A2 only the serving cell may be relevant while for other events, only whitelisted cells may be considered if they are enabled. Otherwise, any neighbor cell detected may be considered based on the measurement object configuration provided it is not in a blacklist.

[0044] The present disclosure contemplates that measurement, for example RRM measurements, may be performed when a pre-configured event is triggered, where the event may be triggered based on thresholds, hysteresis and offsets. The UE (or user device) performs the measurements based on the event and reports it to the network (or base station or gNB). This may cause significant overhead in measurement reporting and thus the present disclosure contemplates a method and system to reduce measurement (e.g. RRM measurement) and reporting.

[0045] The above-described advantageous aspect(s) of the system 100 of the present disclosure can also apply analogously (all) the aspect(s) of a below described apparatus 102 of the present disclosure. Likewise, all below described advantageous aspect(s) of the apparatus 102 of the disclosure can also apply analogously (all) the aspect(s) of above-described system 100 of the disclosure.

[0046] The aforementioned apparatus(es) 102 or User Equipment (UE) or user device will be discussed in further detail with reference to Fig. 2 hereinafter.20240482111

[0047] Referring to Fig. 2, a schematic diagram illustrating an apparatus 102 is shown in further detail in the context of an example implementation 200, according to an embodiment of the disclosure.

[0048] In the example implementation 200, the apparatus 102 (or UE or user device) can correspond to an electronic module 200a. The electronic module 200a can, in one example, correspond to a mobile device which can, for example, be carried into the vehicle by a user, in accordance with an embodiment of the disclosure. In another example, the electronic module 200a can correspond to an electronic device which can be installed / mounted in the vehicle, in accordance with an embodiment of the disclosure. In this regard, the electronic module 200a can be considered to be carried by the vehicle (e.g., either carried into the vehicle by a user or installed / mounted in the vehicle).

[0049] It is contemplated that the electronic module 200a can be capable of performing one or more processing tasks in association with adaptive / dynamic / gradual control related processing, in accordance with an embodiment of the invention.

[0050] The electronic module 200a can, for example, include a casing 200b. Moreover, the electronic module 200a can, for example, carry any one of a first module 202, a second module 204, a third module 206, or any combination thereof.

[0051] In one embodiment, the electronic module 200a can carry a first module 202, a second module 204 and / or a third module 206. In a specific example, the electronic module 200a can carry a first module 202, a second module 204 and a third module 206, in accordance with an embodiment of the disclosure.

[0052] In this regard, it is appreciable that, in one embodiment, the casing 200b can be shaped and dimensioned to carry any one of the first module 202, the second module 204 and the third module 206, or any combination thereof.20240482112

[0053] The first module 202 can be coupled to one or both of the second module 204 and the third module 206. The second module 204 can be coupled to one or both of the first module 202 and the third module 206. The third module 206 can be coupled to one or both of the first module 202 and the second module 204. In one example, the first module 202 can be coupled to the second module 204 and the second module 204 can be coupled to the third module 206, in accordance with an embodiment of the invention. Coupling between the first module 202, the second module 204 and / or the third module 206 can, for example, be by manner of one or both of wired coupling and wireless coupling. Each of the first module 202, the second module 204 and the third module 206 can correspond to one or both of a hardware-based module and a software-based module, according to an embodiment of the invention.

[0054] In one example, the first module 202 can correspond to a hardware-based receiver which can be configured to receive one or more input signals. The input signal(s) can, for example, be communicated from t the device(s) 104 (e.g., a gNB), in accordance with an embodiment of the invention.

[0055] The second module 204 can, for example, correspond to a hardware-based processor which can be configured to perform one or more processing tasks (e.g., in a manner so as to generate one or more output signals) as will be discussed later in further detail with reference to Fig. 3, in accordance with an embodiment of the invention.

[0056] The third module 206 can correspond to a hardware-based transmitter which can be configured to communicate one or more output signals from the electronic module 200a. The output signal(s) can, for example, include one or more instructions / commands / control signals in association with the aforementioned dynamic / adaptive / gradual control configuration / determination strategy so as to facilitate efficiency (e.g., power / energy efficiency and / or communication efficiency), in accordance with an embodiment of the invention. For example, the output signal(s) can be a control signal(s) for performing and reporting measurement by the user20240482113 device (or UE) in relation to Radio Resource Management (RRM) measurement and reporting.

[0057] The present disclosure contemplates the possibility that the first and second modules 202, 204 can be an integrated software-hardware based module, for example, an electronic part which can carry a software program or algorithm in association with receiving and processing functions or an electronic module programmed to perform the functions of receiving and processing. The present disclosure further contemplates the possibility that the first and third modules 202, 206 can be an integrated software-hardware based module, for example an electronic part which can carry a software program or algorithm in association with receiving and transmitting functions or an electronic module programmed to perform the functions of receiving and transmitting. The present disclosure yet further contemplates the possibility that the first and third modules 202, 206 can be an integrated hardware module, for example a hardware-based transceiver, capable of performing the functions of receiving and transmitting.

[0058] The apparatus 102 (or user device or UE) can, for example, be further configured to process the input signal(s), as will be discussed later in further detail with reference to Fig. 3, in a manner so as to generate one or more output signals in a manner so as to facilitate efficiency, for example power efficiency or energy efficiency, in accordance with an embodiment of the invention. In one specific example, the output signal(s) can include one or more control signals to facilitate some form of dynamic / adaptive / gradual control configuration / determination strategy so as to facilitate efficiency, for example power efficiency or energy efficiency, in accordance with an embodiment of the invention. For example, the output signal(s) can be a control signal(s) for performing and reporting measurement by the user device (or UE) in relation to Radio Resource Management (RRM) measurement and reporting.

[0059] The above-described advantageous aspect(s) of the apparatus 102 of the present disclosure can also apply analogously (all) the aspect(s) of a below20240482114 described processing / communication method of the present disclosure. Likewise, all below described advantageous aspect(s) of the processing / communication method of the disclosure can also apply analogously (all) the aspect(s) of above described apparatus 102 of the disclosure. It is to be appreciated that these remarks apply analogously to the earlier discussed system 100 of the present disclosure.

[0060] Referring to Fig. 3, a method 300 (or a communication method) for performing and reporting RRM measurement by a user device (or UE) in association with the system 100 is shown, according to an embodiment of the invention.

[0061] The method 300 can, for example, be suitable for facilitating energy efficiency, network optimization and power saving in accordance with an embodiment of the invention.

[0062] The method 300 can include any one of an input step 302, a processing step 304 and an output step 306, or any combination thereof, in accordance with an embodiment of the invention.

[0063] In an embodiment, the processing method 300 can include the input step 302. In another embodiment, the processing method 300 can include the input step 302 and the processing step 304. In another embodiment, the processing method 300 can include the input step 302, the processing step 304 and the output step 306. In yet another embodiment, the processing method 300 can include the processing step 304 and one or both of the input step 302 and the output step 306. In yet a further embodiment, the processing method 300 can include the input step 302, the processing step 304 and the output step 306. In yet a further additional embodiment, the processing method 300 can include the processing step 304. In yet another further additional embodiment, the processing method 300 can include any one of or any combination of the input step 302, the processing step 304 and the output step 306 (i.e. , the input step 302, the processing step 304 and / or the output step 306).

[0064] With regard to the input step 302, one or more input signal(s) can be received. For example, the input signal(s) can be communicated from the device 104 and can20240482115 be received by the apparatus 102, in accordance with an embodiment of the invention. In an alternate embodiment, the input signal(s) can be generated and communicated from a different or separate apparatus 102.

[0065] The input step 302 can include receiving at least one input signal associated with a mapping table including a timing window based on a user device identity, where the user device identity may include a model identity and / or a functionality identity.

[0066] With regard to the processing step 304, at least a processing task can be performed in association with the received input signal(s) in a manner so as to generate one or more output signals, in accordance with an embodiment of the invention. The functionality identity may include a plurality of parameters based on at least one of: a user device mobility, a user device operating beam and / or a user device location.

[0067] The processing step 304 may include at least one of: performing an Artificial Intelligence / Machine Learning (AI / ML) inference; comparing the AI / ML inference with the timing window; and determining whether the AI / ML inference is performed within the timing window. When the AI / ML inference is determined to be within the timing window, no task is performed in relation to radio resource management (RRM) measurement and reporting. Otherwise, at least one processing task is performed in relation to RRM measurement and reporting.

[0068] The processing step 304 may further include generating at least one input signal comprising the mapping table including the timing window based on the user device identity; communicating the at least one input signal to the user device; generating a message to indicate whether the AI / ML inference is performed within the timing window; and communicating the message to notify whether the user device performs the processing task in relation to RRM measurement and reporting.20240482116

[0069] In an example embodiment, the input step 302 and the processing step 304 may be performed by at least one apparatus 102 (or user device or UE). At least one base station or device 104, corresponding to at least one Next Generation Node B (gNB), may be configured to communicate the at least one input signal to the apparatus 102 (user device or UE). The at least one input signal may be communicated via at least one of: a system information block (SIB) message, Layer 1 signaling, Layer 2 signaling and / or Layer 3 signaling.

[0070] With regards to the output step 306, the output signal(s) can, for example, be communicated by the apparatus 102 (user device or UE), as an option, in accordance with an embodiment of the invention. In an alternate embodiment, the output signal(s) can optionally be communicated from the device 104. In a more specific example, the output signal(s) can optionally be communicated from the apparatus 102 to one or both of at least one apparatus 102, in accordance with an embodiment of the invention. In an embodiment, the apparatus 102 (or UE) may also perform the input step 302, the processing step 304 and the output step 306.

[0071] The present disclosure further contemplates a computer program (not shown) which can include instructions which, when the program is executed by a computer (not shown), cause the computer to carry out the input step 302, the processing step 304 and / or the output step 306 as discussed with reference to the method 300. For example, the computer program can include instructions which, when the program is executed by a computer, cause the computer to carry out the input step 302 and / or the processing step 304, in accordance with an embodiment of the invention.

[0072] The present disclosure yet further contemplates a computer readable storage medium (not shown) having data stored therein representing software executable by a computer (not shown), the software including instructions, when executed by the computer, to carry out the input step 302, the processing step 304 and / or the output step 306 as discussed with reference to the method 300. For example, the computer readable storage medium can have data stored therein representing software executable by a computer, the software including instructions, when executed by the20240482117 computer, cause the computer to carry out the input step 302 and / or the processing step 304, in accordance with an embodiment of the invention.

[0073] Further in view of the foregoing, it is appreciable that the present disclosure generally contemplates an apparatus 102 for reporting measurement in a network which can include a first module 202, a second module 204 and / or a third module 206.

[0074] The first module 202 can be configured to receive one or more input signals. The input signal(s) can, for example, be associated with a mapping table including a timing window based on a user device identity.

[0075] The second module 204 can be configured to process and / or facilitate processing of the input signal(s) according to the method 300 as discussed earlier to generate one or more output signals.

[0076] The third module 206 can be configured to communicate one or more output signals. The output signal(s) can, for example, correspond to one or more control signals for reporting measurement in a network by the user device (or UE) in relation to Radio Resource Management (RRM) measurement and reporting.

[0077] In one embodiment, the apparatus 102 can correspond to a User Equipment (UE) which can communicate with a device 104 corresponding to a base station. The base station can, for example, correspond to a Next generation Node B (gNB) which can be configured to communicate one or more signals (e.g., output signal(s)) to the UE.

[0078] Yet further in view of the foregoing, it is appreciable that the present disclosure generally contemplates a system 100 which can include one or more apparatuses 102 and one or more devices 104. The apparatus(es) 102 and the device(s) 104 can, for example, be capable of being coupled via wired coupling and / or wireless coupling.20240482118

[0079] It should be appreciated that the embodiments described above can be combined in any manner as appropriate (e.g., one or more embodiments as discussed in the “Detailed Description” section can be combined with one or more embodiments as described in the “Summary of the Invention” section).

[0080] It should be further appreciated by the person skilled in the art that variations and combinations of embodiments described above, not being alternatives or substitutes, may be combined to form yet further embodiments.

[0081] In one example, the possibility of the output signal(s) being communicated from the apparatus(es) 102 was discussed. It is appreciable that the output signal(s) need not necessarily be communicated from the apparatus(es) 102. Specifically, the possibility that the output signal(s) need not necessarily be communicated outside of the apparatus(es) 102 is contemplated, in accordance with an embodiment of the invention. More specifically, the output signal(s) can, for example, correspond to internal command(s) / instruction(s) (e.g., communicated only within an apparatus 102) for adaptively controlling operational configuration of an apparatus 102, in accordance with an embodiment of the invention.

[0082] Fig. 4A to Fig. 4C show schematic diagrams illustrating the flow of information in association with the method of Fig. 3, according to an embodiment of the invention.

[0083] In the example context as shown in Fig. 4A, a mapping between a UE’s model functionality identity and timing window is received from the network (or gNB) by the UE (or user device). The gNB (or base station) configures the mapping table with the timing window based on the UE model identity or the UE functionality identity. The UE starts a timer based on the received configuration and determines if an inference (e.g. AI / ML inference) is within the timing window. If the inference is within the timing window, the UE (or user device) performs the action without measurement (e.g. RRM measurement) or reporting to the network (or gNB). Benefits of this approach may include savings in RRM measurements, UE (or user device) energy savings and savings in signaling overhead.20240482119

[0084] In an embodiment, a mapping between the UE’s model functionality identity and timing window may be received from the network (or gNB or base station) for the UE (or user device) to determine AI / ML inference within the timing window. The mapping table and configurations may be generated by the base station (or gNB) and communicated or signaled via a system information block (SIB) message, Layer 1 (L1 ), Layer 2 (L2) and / or Layer 3 (L3) signaling. The network (or gNB or base station) may configure the timing based on UE’s model functionality ID which may be dependent on UE’s parameters such as mobility, operating beam, location etc.

[0085] After receiving the mapping table and the relevant configurations from the gNB, the UE (or user device) may perform AI / ML inference withing the timing window. The timing window can vary based on the use-case identified by the functionality identity. If the UE (or user device) derives the inference within the timing window, the UE (or user device) will not perform the measurement (e.g. RRM measurement) and does not report to the network. This may advantageously help in reducing the signaling overhead. On the other hand, if the UE (or user device) is not able to derive the inference within the timing window, the UE (or user device) can perform the measurement (e.g. RRM measurement) and reports to the network (or gNB or base station).

[0086] In an example embodiment, a new uplink message (for example a 1-bit mesage) may be generated to indicate if the inference is completed within the timing window to notify the gNB (or base station) that the UE (or user device) performs the intended action as configured by the network (or gNB or base station). In another embodiment, if the inference is not completed within the timing window, the network (or gNB or base station) may intuitively know that the inference has not been completed within the timing window.

[0087] In the example context as shown in Fig. 4B, a gNB (or cell or base station) can, for example, can configure the timing window mapping table and configuration for the User Equipment UE (or user device), in accordance with an embodiment of the invention. In the example context as shown in Fig. 4C, the User Equipment UE20240482120(or user device) can, for example, be configured to receive the timing window mapping table from the gNB and performs measurement (e.g. RRM measurement) within the timing window. The UE (or user device) then determines whether the inference is performed within the timing window. If it is within the timing window, the UE (or user device) does not provide measurement report to the network (or gNB or base station). On the other hand, if the inference is not performed within the timing window, the UE (or user device) performs the measurement (e.g. RRM measurement) and reports it to the network (or gNB or base station).

[0088] In the foregoing manner, various embodiments of the disclosure are described for addressing at least one of the foregoing disadvantages. Such embodiments are intended to be encompassed by the following claims and are not to be limited to specific forms or arrangements of parts so described and it will be apparent to one skilled in the art in view of this disclosure that numerous changes and / or modification can be made, which are also intended to be encompassed by the following claims.

Claims

20240482121Claim(s)1. A method (300) for reporting measurement in a network, the method comprising: an input step (302) which comprises receiving at least one input signal comprising a mapping table including a timing window based on a user device identity; a processing step (304) which comprises at least one of: performing an Artificial Intelligence / Machine Learning (AI / ML) inference; comparing the AI / ML inference with the timing window; and determining whether the AI / ML inference is performed within the timing window; wherein: when the AI / ML inference is determined to be within the timing window, no task is performed in relation to radio resource management (RRM) measurement and reporting, and when otherwise, at least one processing task is performed in relation to RRM measurement and reporting.

2. The method (300) according to claim 1 , wherein the user device identity comprises a model identity and / or a functionality identity.

3. The method (300) according to claim 2, wherein the functionality identity comprises a plurality of parameters based on at least one of: a user device mobility, a user device operating beam and / or a user device location.

4. The method (300) according to claim 1 , further comprising: generating at least one input signal comprising the mapping table including the timing window based on the user device identity; and communicating the at least one input signal to the user device.202404821225. The method (300) according to claim 1 , further comprising: generating a message to indicate whether the AI / ML inference is performed within the timing window; and communicating the message to notify whether the user device performs the processing task in relation to RRM measurement and reporting.

6. The method (300) according to claim 1 , wherein at least one user equipment (UE) is configured to perform the input step (302) and the processing step (304).

7. The method (300) according to claim 1 , wherein at least one base station is configured to communicate the at least one input signal.

8. The method (300) according to claim 7, wherein the at least one base station corresponds to at least one Next Generation Node B (gNB).

9. The method (300) according to claim 8, wherein the at least one gNB is configured to communicate the at least one input signal via at least one of: a system information block (SIB) message, Layer 1 signaling, Layer 2 signaling and / or Layer 3 signaling.

10. A computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out at least one of the at least one of input step (302) and the processing step (304) according to the method (300) of any of the preceding claims.

11. A computer readable storage medium having data stored therein representing software executable by a computer, the software including instructions, when executed by the computer, to carry out at least one of the input step (302) and the processing step (304) according to the method (300) of any of claims 1-9.2024048212312. An apparatus (102) comprising: a first module (202) configured to receive at least one input signal comprising a mapping table including a timing window based on a user device identity; a second module (204) configured to at least one of process and facilitate the method (300) of claims 1-9 to generate at least one output signal; and a third module (206) configured to communicate at least one output signal, wherein the output signal corresponds to a control signal for reporting measurement in a network in relation to Radio Resource Management (RRM) measurement and reporting.

13. The apparatus (102) as in claim 12, wherein the apparatus (102) corresponds to a User Equipment (UE) communicable with a device (104) corresponding to a base station, wherein the base station corresponds to a Next generation Node B (gNB) configured to communicate the at least one input signal to the UE.

14. A system comprising: at least one apparatus (102) according to any of claims 12 and 13; and at least one device (104) according to claim 13, wherein the apparatus (102) and the device (104) are capable of being coupled via at least one of wired coupling and wireless coupling.

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