Scaling measurement periods due to radio resource management measurements skipping for extended reality

Abstract

A method, performed by a user equipment (110, figure 1) determines 610 that at least partial skipping of at least one measurement occasion of a measurement period is enabled. The method, in an instanc

Description

TECHNOLOGICAL FIELD

[0001] An example embodiment relates generally to scaling measurement periods, and, more particularly, to scaling measurement periods due to radio resource management measurements skipping for extended reality. BACKGROUND

[0002] User equipment devices performing radio resource management measurements often deal with scheduling restrictions. These restrictions may be due to inter-frequency or intra-frequency radio resource management measurements, or additional measurement gaps. The network may configure a user equipment with an SMTC (Synchronization Signal / Physical Broadcast Channel Block Measurement Timing Configuration) window in which a user equipment may measure RSRP (reference signal received power) from, for example, SSBs (synchronization signal blocks). The time-resolution of SMTC is on a subframe level corresponding to 1 millisecond intervals. In the time domain, the SMTC only instructs the user equipment when it can or should measure, for example, RSRP from an SSB. It is left open for the user equipment exactly when it will measure and which antenna panel will be used for conducting such measurement during SMTC measurement windows.

[0003] Scheduling restrictions can apply for user equipment devices during time intervals where they may be performing SSB based measurements per an SMTC configuration. For frequency range FR2 and layer 3 / layer 1- RSRP on SSB, the user equipment is not expected to transmit PUCCH (physical uplink control channel), PUSCH (physical uplink shared channel), and / or SRS (sounding reference signal) or receive PDCCH (physical downlink control channel), PDSCH (physical downlink shared channel), and / or CSI-RS (channel state information reference signal). For some configurations (for example, with SMTC windows of 5 milliseconds every 20 milliseconds (aligned to SSB periodicity)) may pose scheduling restrictions that challenge a networks capability to efficiently schedule and serve extended reality users according to quality of service constraints, limiting extending reality capacity if such scheduling restrictions are valid. In some scenarios where scheduling restrictions on SSBs are measured from one symbol before and one symbol after, every slot where SSBs are measured is restricted from a PDSCH perspective, so that nearly 25% of the time (5 milliseconds every 20 millisecond time period) can be blocked if 64 SSBs are measured.

[0004] System-level performance degradation from scheduling restrictions in FR2 may cause a 5 capacity loss ranging from 5% to more than 50% depending on an assumed (PDB) packet delay budget and SMTC configuration. The performance degradation is shown in the below table depicting number of satisfied extended reality users per cell for different SMTC configurations in FR2. Relaxation of scheduling restrictions based on network configuration is needed to improve extended reality capacity. CG (PDB: 15ms) ARA / R (PDB: 10ms) Capacity lossw.r.t. no scheduling restrictions CG (PDB: 15ms) AR / VR (PDB: 10ms) W / O scheduling restrictions 9 UEs 7 UEs SMTC 1 (20,5) 6.2 UEs 3.1 UEs 31% 56% SMTC 2 (20,3) 8 UEs 5.1 UEs 11% 27% SMTC 3 (20,2) 8.5 UEs 6.5 UEs 5% 7% SMTC 4 (40,5) 7.3 UEs 4.1 UEs 19% 41% SMTC 5 (40,2) 8.6 UEs 6.6 UEs 4% 5% 10

[0005] For every type of radio resource management measurements (such as intra-frequency measurements and mter-frequency measurements), there is a specified measurement period during which a user equipment is required to perform layer 3 and layer 1 measurements for further reporting of SS-RSRP, SS-RSRQ, and SS-SINR measurements (for example, to higher layers with the required measurement accuracy). Several tables below illustrate measurement 15 periods with and without gaps for intra and inter-frequency measurements in FR1 and FR2.

[0006] The following table depicts measurement periods for intra-frequency measurements without gaps in FR1. DRX cycle T SSB measurement period intra No DRX max(200ms, ceil( 5 x Kp) x SMTC period)Note 1 x CSSFjntra DRX cycles 320ms max(200ms, ceil(1.5x 5 x Kp) x max(SMTC period,DRX Cycle)) X CSSFjntra DRX cycle>320ms ceil( 5 x Kp) x DRX cycle x CSSFintra NOTE 1: If different SMTC periodicities are configured for different cells, the SMTC period in the requirement is the one used by the cell being identified

[0007] The following table depicts measurement periods for intra-frequency measurements without gaps in FR2. DRX cycle T SSB measurement period intra No DRX rnax(400mS1 Ceil(Mmeas_period_w / o_gaps X Kp X K|ayer1 measurement) X SMTC P©riod)Note 1 X CSSFjntra DRX cycles 320ms max(400mS, ceil(1.5x Mmeas_perlodw / O_gaps X Kp X K|ayer1_measurement) X maX(SMTC period,DRX Cycle)) X CSSFintra DRX cycle>320ms C©il(Mmeas_period_w / o_gaps XKp X K|ayer1_measurement ) X DRX cycle X CSSFjntra NOTE 1: If different SMTC periodicities are configured for different cells, the SMTC period in the requirement is the one used by the cell being identified

[0008] The following table depicts measurement periods for intra-frequency measurements with gaps in FR1. DRX cycle T SSB measurement period intra No DRX max(200ms, ceil(5 x Kgap )x max(MGRP, SMTC period)) x CSSFintra DRX cycles 320ms max(200ms, ceil(1.5x 5 x Kgap) x max(MGRP, SMTC period,DRX cycle)) x CSSFintra DRX cycle>320ms Ceil(5 x Kgan) x max(MGRP, DRX cycle) x CSSFintra NOTE 1: For a UE supporting concurrent GAPs, if multiple concurrent GAPs are configured, the MGRP is the periodicity of the MG pattern associated to the intra-freguency layer. 5

[0009] The following table depicts measurement periods for intra-frequency measurements with gaps in FR2. DRX cycle T SSB measurement period intra No DRX ITiax(400mS! Ceil(Mmeas_period with_gaps X Kgap ) X max(MGRP, SMTC period)) x CSSFintra DRX cycles 320ms max(400mS, ceil(1.5x Mmeas_periodwith_gaps X Kgap) X max(MGRP, SMTC period, DRX cycle)) Note 1 x CSSFjntra DRX cycle>320ms Ceil( Mmeas period with gaps X Kgap ) X ITI8X(MGRP, DRX Cycle) X CSSFjntra NOTE 1: For a UE supporting concurrent GAPs, if multiple concurrent GAPs are configured, the MGRP is the periodicity of the MG pattern associated to the intra-frequency layer.

[0010] The following table depicts measurement periods for inter-frequency measurements with gaps in FR1. Condition N0TE12 T SSB_measurement_period_inter No DRX Max(200ms, Ceil(8 * Kgap) x Max(MGRP, SMTC period)) x CSSFinter DRX cycle £ 320ms Max(200ms, Ceil(8 x 1.5 * Kgap) x Max(MGRP, SMTC period, DRX cycle)) x CSSFinter DRX cycle >320ms Ceil(8 * Kgap) x DRX cycle x CSSFinter NOTE 1: DRX or non DRX requirements apply according to the conditions described in clause 3.6.1 NOTE 2: In EN-DC operation, the parameters, timers and scheduling requests referred to in clause 3.6.1 are for the secondary cell group. The DRX cycle is the DRX cycle of the secondary cell group. NOTE 3: For a UE supporting concurrent measurement GAPs, the MGRP above is the MGRP of the measurement gap associated with the target frequency layer to be measured if concurrent measurement GAPs are configured.

[0011] The following table depicts measurement periods for inter-frequency measurements with gaps in FR2. Condition N0TE12 T SSB_measurement_period_inter No DRX Max(400ms, Ceil(Kgap x Mmeas Period inter) x Max(MGRP, SMTC period)) x CSSFlnter DRX cycle <320ms Max(400ms, Ceil(1.5 * Kgap x Mmeas_Period_inter) x Max(MGRP, SMTC period, DRX Cycle)) X CSSFinter DRX cycle >320ms Ceil(Kqap X Mmeas period inter) x DRX Cycle X CSSFinter NOTE 1: DRX or non DRX requirements apply according to the conditions described in clause 3.6.1 NOTE 2: In EN-DC operation, the parameters, timers and scheduling requests referred to in clause 3.6.1 are for the secondary cell group. The DRX cycle is the DRX cycle of the secondary cell group. NOTE 3: For a UE supporting concurrent measurement GAPs, the MGRP above is the MGRP of the measurement gap associated with the target frequency layer to be measured if concurrent measurement GAPs are configured.

[0012] The following table depicts measurement periods for inter-frequency measurements without gaps in FR1. DRX cycle T SSB measurement period inter No DRX max(200mSs Ceil(Mmeas_period_inter X Kp) X SMTC period)Note 1 x CSSFinter DRX cycles 320ms max(200mS, ceil(1.5x Mmeas_Period_interX Kp)x max(SMTC period,DRX cycle)) x CSSFinter DRX cycle>320ms Ceil( Mmeas period inter X Kp) X DRX Cyd© X CSSFinter NOTE 1: If different SMTC periodicities are configured for different cells, the SMTC period in the requirement is the one used by the cell being identified 5

[0013] The following table depicts measurement periods for inter-frequency measurements without gaps in FR2. DRX cycle T SSB_measurement_period_inter No DRX max(400mS, Ceil(Mmeas_period_inter X Kp X K|ayer1_measurement) x SMTC period)Note 1 x CSSFinter DRX cycles 320ms max(400ms, ceil(1.5x Mme3S ^ Kpx K|ayer1_measurement) X max(SMTC period,DRX cycle)) X CSSFinter DRX cycle>320ms C©il(Mmeas_Period_inter xKp X K|ayer1_measurement) X DRX Cyd© X CSSFinter NOTE 1: If different SMTC periodicities are configured for different cells, the SMTC period in the requirement is the one used by the cell being identified 0014] Measurement gaps and measurement restrictions in measurements without gaps can impact the performance of extended reality applications by colliding with desired times for scheduling extended reality users to fulfill PDBs or PSDB (PDU set delay budgets). This may cause loss of extended reality capacity. Methods to relax or overcome harmful scheduling restrictions from user equipment devices prioritizing radio resource management measurements are needed. BRIEF SUMMARY

[0015] In one or more embodiments, a user equipment (110) is provided, including at least one processor (220) and at least one memory (240) storing instructions that, when executed by the processor (220), cause the user equipment (110) to determine (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (620) a scaling factor associated with the measurement period (500). The user equipment (110) is further caused to scale (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) is further caused to obtain (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0016] In one or more embodiments, a user equipment (110) is provided, including at least one processor (220) and at least one memory (240) storing instructions that, when executed by the processor (220), cause the user equipment (110) to determine (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to obtain (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0017] In one or more embodiments, a computer-implemented method is provided is provided, that is performed by a user equipment (110) and includes determining (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The method further includes, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (620) a scaling factor associated with the measurement period (500). The method further includes scaling (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The method further includes obtaining (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0018] In one or more embodiments, a computer-implemented method is provided, that is performed by a user equipment (110) and includes determining (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The method further includes, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The method further includes extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The method further includes obtaining (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0019] In one or more embodiments, a non-transitory computer readable storage medium is provided including computer instructions that, when executed by a user equipment (110), cause the user equipment (110) to determine (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (620) a scaling factor associated with the measurement period (500). The user equipment (110) is further caused to scale (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) is further caused to obtain (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0020] In one or more embodiments, a non-transitory computer readable storage medium is provided including computer instructions that, when executed by a user equipment (110), cause the user equipment (110) to determine (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to obtain (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0021] In one or more embodiments, a user equipment (110) is provided is provided that includes means for determining (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) further includes means for, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (620) a scaling factor associated with the measurement period (500). The user equipment (110) further includes means for scaling (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) further includes means for obtaining (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0022] In one or more embodiments, a user equipment (110) is provided, that includes means for determining (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) further includes means for, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) further includes means for extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) further includes means for obtaining (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730). BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Having thus described certain example embodiments of the present disclosure in general terms, reference will hereinafter be made to the accompanying drawings, which are not necessarily drawn to scale, and where:

[0024] FIG. 1 is a block diagram of a system including a user equipment and a network node, configured to communicate at least via uplink and downlink transmission in accordance with an example embodiment of the present disclosure;

[0025] FIG. 2 is a block diagram of an example communication system in which the system of FIG. 1 may be deployed in accordance with an example embodiment of the present disclosure;

[0026] FIG. 3 illustrates an SMTC configuration with scheduling restrictions in accordance with previous embodiments;

[0027] FIGs. 4A and 4B illustrate simulations of satisfied extended reality users with different packet delay budgets in accordance with previous embodiments.

[0028] FIG. 5A is a measurement period including measurement occasions which are skipped in accordance with example embodiments of the present disclosure;

[0029] FIG. 5B is an extended measurement period in accordance with example embodiments of the present disclosure;

[0030] FIG. 6 is a flowchart illustrating processes performed by a user equipment in order to scale a measurement period in accordance with example embodiments of the present disclosure; and

[0031] FIG. 7 is a flowchart illustrating processes performed by a user equipment in order to extend a measurement period in accordance with example embodiments of the present disclosure. DETAILED DESCRIPTION

[0032] Some embodiments of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all, embodiments are shown. Indeed, various embodiments may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Like reference numerals refer to like elements throughout. As used herein, the terms “data,” “content,” “information,” and similar terms may be used interchangeably to refer to data capable of being transmitted, received and / or stored in accordance with embodiments of the present disclosure. Thus, use of any such terms should not be taken to limit the spirit and scope of embodiments of the present disclosure.

[0033] Additionally, as used herein, the term “circuitry” refers to (a) hardware-only circuit implementations (e.g., implementations in analog circuitry and / or digital circuitry); (b) combinations of circuits and computer program product(s) including software and / or firmware instructions stored on one or more computer readable memories that work together to cause an apparatus to perform one or more functions described herein; and (c) circuits, such as, for example, a microprocessor(s) or a portion of a microprocessor(s), that require software or firmware for operation even if the software or firmware is not physically present. This definition of “circuitry” applies to all uses of this term herein, including in any claims. As a further example, as used herein, the term “circuitry” also includes an implementation including one or more processors and / or portion(s) thereof and accompanying software and / or firmware. As another example, the term “circuitry” as used herein also includes, for example, a baseband integrated circuit or applications processor integrated circuit for a mobile phone or a similar integrated circuit in a server, a cellular network device, other network device (such as a core network apparatus), field programmable gate array, and / or other computing device.

[0034] As used herein, the term “computer-readable medium” refers to non-transitory storage hardware, non-transitory storage device or non-transitory computer system memory that may be accessed by a controller, a microcontroller, a computational system or a module of a computational system to encored thereon computer-executable instructions or software programs. A non-transitory “computer readable medium” may be accessed by a computational system or a module of a computational system to retrieve and / or execute the computerexecutable instructions or software programs encoded on the medium. Examples of non-transitory computer-readable media may include, but are not limited to, one or more types of hardware memory, non-transitory tangible media (for example, one or more magnetic storage disks, one or more optical disks, one or more universal synchronous bus (USB) flash drives), computer system memory or random-access memory (such as dynamic random access memory (DRAM), static random access memory (SRAM), extended data out random access memory (EDO RAM), and the like.

[0035] As illustrated in FIG. 1, a system 100 is provided in accordance with an example embodiment in order to extend measurement periods. Although the system may be configured in various manners, the system of one embodiment is depicted in FIG. 1 and includes user equipment 110 and network node 112 configured to communicate via uplink and downlink transmission and reception beams. Although one user equipment and one network node are depicted, the system may include and the user equipment 110 and network node 112 may communicate with additional user equipment and network nodes in other embodiments. In one or more embodiments, t user equipment 110 and network node 112 may be configured to support, for example, 5G, 5G advanced, or 6G. In one or more embodiments, the system 100 may support carrier aggregation and / or dual connectivity. As described below, the system may support non-terrestrial networks and mobile originated traffic.

[0036] The data that is transmitted via the uplink and downlink beams between the user equipment 110 and network node 112 may be any of a wide variety of data including, but not limited to digital imagery data including video data, audio data as well as data provided by sensors, radars, telescopes and radio receivers. In at least some instances, the data is encoded prior to communication of the data via the uplink and downlink beams and decoded upon reception. The resulting data received may be utilized for a variety of purposes including presentation to a user, storage of the data for subsequent use and / or provision of the data to one or more applications, such as applications that perform statistical inference on the data for various purposes including object recognition, image classification, spectrum sensing, speech transcription and / or prediction or detection of events.

[0037] The user equipment 110 of FIG. 1 (also called UE, user device, user terminal, terminal device, etc.) illustrates a type of an apparatus which resources on an air interface are allocated and assigned. The user equipment 110 typically refers to a portable computing device that includes wireless mobile communication devices operating with or without a subscriber identification module (SIM), including, but not limited to, the following types of devices: a mobile station (mobile phone), smartphone, personal digital assistance (PDA), handset, device using a wireless modem (alarm or measurement device, etc.), laptop and / or touch screen computer, tablet, game console, notebook, and multimedia device. User equipment 110 may also be a device having capability to operate in Internet of Things (loT) network which is a scenario in which objects are provided with the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The user equipment 110 may also be called a subscriber unit, mobile station, remote terminal, access terminal, user terminal, or user equipment (UE) just to mention but a few names or apparatuses. The user equipment 110 may be connected via radio resource control. The user equipment may be in a radio resource control inactive mode or a radio resource control idle mode.

[0038] The network node 112 of FIG. 1 may include, for example, base stations such as remote radio heads (RRHs), transmission reception points (TRPs), access points, node Bs (e g., eNB, gNB) or other transmission sources. The network node 112 may be configured to communicate with user equipment 110 via a network. The network node 112 may be accessed through a gateway.

[0039] FIG. 2 depicts an example apparatus 200 that may be configured to function as user equipment 110, network node 112, and / or satellites 114-118. As shown in FIG. 2, the apparatus includes, is associated with, or is in communications with processing circuitry 220, a memory 240, and a communication interface 260. The processing circuitry 220 may be in communication with the memory device 240 via a bus for passing information among components of the apparatus. The memory device may be non-transitory and may include, for example, one or more volatile and / or non-volatile memories. In other words, for example, the memory device may be an electronic storage device (e.g., a computer readable storage medium) including gates configured to store data (e.g., bits) that may be retrievable by a machine (e.g., a computing device like the processing circuitry). The memory device may be configured to store information, data, content, applications, instructions, or the like for enabling the apparatus to carry out various functions in accordance with an example embodiment of the present disclosure. For example, the memory device could be configured to buffer input data for processing by the processing circuitry. Additionally or alternatively, the memory device could be configured to store instructions for execution by the processing circuitry.

[0040] The apparatus 200 may, in some embodiments, be embodied in various computing devices described as above. However, in some embodiments, the apparatus may be embodied as a chip or chip set. In other words, the apparatus may include one or more physical packages (e.g., chips) including materials, components and / or wires on a structural assembly (e.g., a baseboard). The structural assembly may provide physical strength, conservation of size, and / or limitation of electrical interaction for component circuitry included thereon. The apparatus may therefore, in some cases, be configured to implement an embodiment on a single chip or as a single “system on a chip.” As such, in some cases, a chip or chipset may constitute means for performing one or more operations for providing the functionalities described herein.

[0041] The processing circuitry 220, also referenced as a processor, may be embodied in a number of different ways. For example, the processing circuitry may be embodied as one or more of various hardware processing means such as a coprocessor, a microprocessor, a controller, a digital signal processor (DSP), a processing element with or without an accompanying DSP, or various other circuitry including integrated circuits such as, for example, an ASIC (application specific integrated circuit), an FPGA (field programmable gate array), a microcontroller unit (MCU), a hardware accelerator, a special-purpose computer chip, or the like. As such, in some embodiments, the processing circuitry may include one or more processing cores configured to perform independently. A multi-core processing circuitry may enable multiprocessing within a single physical package. Additionally or alternatively, the processing circuitry may include one or more processors configured in tandem via the bus to enable independent execution of instructions, pipelining, and / or multithreading.

[0042] In an example embodiment, the processing circuitry 220 may be configured to execute instructions stored in the memory device 240 or otherwise accessible to the processing circuitry. Alternatively or additionally, the processing circuitry may be configured to execute hardcoded functionality. As such, whether configured by hardware or software methods, or by a combination thereof, the processing circuitry may represent an entity (e.g., physically embodied in circuitry) capable of performing operations according to an embodiment of the present disclosure while configured accordingly. Thus, for example, when the processing circuitry is embodied as an ASIC, FPGA or the like, the processing circuitry may be specifically configured hardware for conducting the operations described herein. Alternatively, as another example, when the processing circuitry is embodied as an executor of instructions, the instructions may specifically configure the processor to perform the algorithms and / or operations described herein when the instructions are executed. However, in some cases, the processing circuitry may be a processor of a specific device (e.g., an image or video processing system) configured to employ an embodiment by further configuration of the processing circuitry by instructions for performing the algorithms and / or operations described herein. The processing circuitry may include, among other things, a clock, an arithmetic logic unit (ALU) and logic gates configured to support operation of the processing circuitry.

[0043] The communication interface 260 may be any means such as a device or circuitry embodied in either hardware or a combination of hardware and software that is configured to receive and / or transmit data including media content in the form of video or image files, one or more audio tracks or the like. In this regard, the communication interface may include, for example, an antenna (or multiple antennas) and supporting hardware and / or software for enabling communications with a wireless communication network. Additionally or alternatively, the communication interface may include the circuitry for interacting with the antenna(s) to cause transmission of signals via the antenna(s) or to handle receipt of signals received via the antenna(s). In some environments, the communications interface may alternatively or also support wired communication. As such, for example, the communication interface may include a communication modem and / or other hardware / software for supporting communication via cable, digital subscriber line (DSL), universal serial bus (USB) or other mechanisms.

[0044] Turning now to FIG. 3, an SMTC configuration 300 is provided in accordance with previous embodiments. The SMTC configuration 300 includes scheduling restrictions 302 that last 5 milliseconds every 20 milliseconds. Monitoring occasions 304 are not restricted. Arrival of extended reality frames 306 are depicted every 16.6 milliseconds at 60 fps. Each extended reality frame is subject to + / - 4 millisecond fitter as illustrated in dashed lines. The scheduling restrictions 302 often collide with time periods where a network node would have preferred to schedule extended reality transmission. This negatively impacts the extended reality quality of experience and obtained network extended reality capacity.

[0045] Turning now to FIGS. 4A-4B, graphs depicting percentage of satisfied extended reality users are depicted in accordance with previous embodiments. FIG. 4A depicts user satisfaction for a packet delay budget of 15 milliseconds and FIG. 4B depicts user satisfaction for a packet delay budget of 10 milliseconds. As shown in the Figures, user satisfaction decreases as the number of user equipment devices per cell increases. However, user satisfaction is shown as higher for a longer PDB depicted in FIG. 4A than for the shorter PDB depicted in FIG. 4B.

[0046] Turning now to FIGS. 5A-5B, an example measurement period 500 is shown in accordance with example embodiments of the present disclosure. In some examples, the measurement period 500 consists of at least one measurement occasion 502 which is skipped and one or more measurement occasions 504 in which a user equipment 110 may obtain radio resource management measurements. In one or more embodiments, the measurement period 500 may be extended as depicted in FIG. 5B. For example, measurement period 500 may be extended based on a scaling factor or based on a number of measurement occasions 502 which are skipped during the measurement period.

[0047] In some examples, the measurement occasions 502 which are skipped may be configured by the network. In some examples, the measurement occasions 502 which are skipped could relate to the service (e.g., extended reality). In some examples, the measurement occasions 502 which are skipped could be preconfigured.

[0048] In some examples, where the measurement period 500 is extended based on a scaling factor, the scaling factor is configured in a dynamic manner depending on an exact number of measurement occasions 502 skipped during every measurement period 500. In some examples, the scaling factor is configured in a fixed manner that accounts for the maximum number of measurement occasions 502 which are allowed to be skipped during a measurement period 500. In some examples, this leads to a fixed measurement period 500. In some examples, the scaling factor is preconfigured by the user equipment.

[0049] In some examples, a measurement period scaling may be defined as an extra parameter to be accounted in a measurement period definition. For example, a measurement period for interfrequency measurements with gaps in FR1 may be defined as follows in the below table. Condition N0TE1.2 T SSB_measurement_penod_inter No DRX Max(200ms, Ceil(8 * Kgap x Kskip) x Max(MGRP, SMTC period)) x CSSFinter DRX cycle s 320ms Max(200ms, Ceil(8 x 1.5* Kgap x Kskip) x Max(MGRP, SMTC period, DRX cycle)) x CSSFinter DRX cycle >320ms Ceil(8 * Kgap x Kskip) x DRX cycle x CSSFinter NOTE 1: DRX or non DRX requirements apply according to the conditions described in clause 3.6.1 NOTE 2: In EN-DC operation, the parameters, timers and scheduling requests referred to in clause 3.6.1 are for the secondary cell group. The DRX cycle is the DRX cycle of the secondary cell group. NOTE 3: For a UE supporting concurrent measurement GAPs, the MGRP above is the MGRP of the measurement gap associated with the target frequency layer to be measured if concurrent measurement GAPs are configured.

[0050] In some examples, different measurement periods 500 may be defined based on a minimum number of measurement occasions 502 which are skipped over all possible measurement occasions. In some examples, different measurement periods 500 may be defined based on a minimum number of measurement occasions 504 which are left available over all possible measurement occasions.

[0051] In some examples, a measurement period 500 is extended until there is no more than or less than a particular number of skipped measurement occasions 502 over a particular number of total possible measurement occasions. In some examples, a measurement period 500 is extended until there is at least a threshold number of available measurement occasions 504 over a particular number of total possible measurement occasions.

[0052] In one or more embodiments, a measurement period 500 can be extended with additional time equal to a particular number of skipped measurement occasions 502. For example, a measurement period 500 may be extended with a time T extension according to the equation T extension = NskiP* max(MGRP (measurement gap repetition period), SMTC period, DRX (discontinuous reception) cycle). In some examples, NskiP is the number of skipped measurement occasions 502 within a measurement period 500. In some examples, Nskip is fixed, such that if measurement skipping is enabled, the measurement period 500 is extended by a fixed number of measurement occasions. In this example, the measurement period 500 is fixed. In some examples, NskiP may vary depending on the actual number of skipped measurement occasions 502 every measurement period 500. In some examples, the measurement period 500 may vary depending on a number of skipped measurement occasions 502. In some examples, an extension can be based on a sliding window approach, when each skipping extends the measurement period 500 by one max (MGRP, SMTC period, DRX cycle). In some examples, the maximum number for NskiP may be a maximum number of measurement occasions 502 that can be skipped during one measurement period 500. In some examples, a maximum NskiPmay be configured by a network via, for example, radio resource control. In some examples, a maximum NskiPmay be signaled with a medium access control control element or downlink control information. In some examples, a maximum NskiP can be directly part of radio resource management performance requirements. Additionally or alternatively, NskiP may be incorporated into a measurement period calculation.

[0053] In some examples, a scaling factor K,kiP may be calculated as KskiP = (Nmin + NskiP) / Nmin. In some examples, Nmin is a minimum number of samples that need to be available to ensure measurement accuracy. For example, Nmin may be 8 when there is no DRX for inter-frequency measurements. In some examples, a measurement period 500 may indicate a period for performing a given measurement or procedure, such as index detection, PSS (primary synchronization signal) detection, SSS (secondary synchronization signal) detection, and / or the like.

[0054] An example of calculating a measurement period 500 delay using a number of skipped measurement occasions 502 without an additional scaling factor is depicted in the below table. The example table depicts a measurement period for inter-frequency measurements with gaps in FR1. Condition N0TE12 T SSB_measurement_peiiod_lnter No DRX Max(200ms, Ceil((8+ NSkiP) * Kgap) x Max(MGRP, SMTC period)) x CSSFlnter DRX cycle £ 320ms Max(200ms, Ceil((8 x 1.5 + NSkiP)* Kgap) x Max(MGRP, SMTC period, DRX cycle)) x CSSFlnter DRX cycle >320ms Ceil((8 + NSkiP)* KaaP) x DRX cycle x CSSFmter NOTE 1: DRX or non DRX requirements apply according to the conditions described in clause 3.6.1 NOTE 2: In EN-DC operation, the parameters, timers and scheduling requests referred to in clause 3.6.1 are for the secondary cell group. The DRX cycle is the DRX cycle of the secondary cell group. NOTE 3: For a UE supporting concurrent measurement GAPs, the MGRP above is the MGRP of the measurement gap associated with the target frequency layer to be measured if concurrent measurement GAPs are configured. NOTE 4 : where NSkio is the number of skipped measurement occasions and should not exceed NskiP max

[0055] In one or more embodiments, a fixed scaling factor is applied to a measurement period 500 by network configuration. In some examples, network configuration determines a maximum number of skipped measurement occasions 502 which are allowed In one or more embodiments, a scaling factor is based on a number of skipped measurement occasions 502 such that a ratio of possible or available measurement occasions 504 and skipped measurement occasions 502 does not meet or exceed a threshold. In some examples, a scaling factor is based on measurement occasions 504 which are available so that a ratio of possible measurement occasions and available measurement occasions 504 does not meet or exceed a certain threshold. In some examples, a ratio may be defined over a time duration or a total number of measurement occasions. In some examples, the ratio may be preconfigured or based on an unadjusted measurement period. In some examples, a scaling factor is based on number of available measurement occasions 504 after skipping is applied so that a number of available measurement occasions 504 is covered by a measurement period 500.

[0056] In some examples, a measurement occasion 502 which is skipped may relate to a measurement gap configured for a user equipment to perform measurements in inter-frequency cells or to search cells on an inter-frequency carrier. In some examples, a measurement occasion 502 which is skipped may relate to a scheduling availability restriction occasion where a user equipment 110 is allowed to not receive or transmit on a serving cell on symbols colliding with SSBs.

[0057] In some examples, a definition of a scaling factor accounts a timing relation between a measurement occasion (e.g., a measurement gap) and a configured traffic arrival time. In some examples, if a measurement occasion and a configured time window for data prioritization / traffic arrival overlap only partially, up to a certain amount, the measurement occasion is not considered as skipped or is considered to be skipped only partially. In some examples, partially skipped measurement occasions are accounted differently in measurement period 500 scaling (e.g., having a reduced impact to measurement period 500 scaling).

[0058] In one or more embodiments, a scaling of a measurement period 500 is based on a change or reduction in available measurement occasions 504. For example, TM = Xi=i T^0 may denote an overall time that is dedicated to measurements by a user equipment 110 over a number of measurement occasions (such as measurement gaps) without skipping operations. For example, N may be equal to 8 In some examples, T^° represents a time which is dedicated to measurements by a user equipment in a single occasion without skipping. In some examples, T.skip represents the amount of time that has been skipped by a user equipment 110 to prioritize reception and / or transmission in a measurement occasion. In some examples, 0 <T^kip <T^°. In some examples, over a number of measurement occasions, an overall time a user equipment 110 has skipped is Ts = T.skip. In some examples, user equipment 110 has spent only a time equal to TE = to perform measurements. In some examples, the scaling factor can be computed as the following ratio: Kskiv = Tm+Ts in some examples, a number of Tm measurement occasions in a measurement period 500 of, for example, 200 milliseconds is larger than the minimum number of measurements. For example, a minimum number of measurements may be 8 and there may be 10 measurement occasions in a measurement period 500. In one or more embodiments, a scaling factor KskiP can be computed considering all measurement occasions or only the minimum measurement occasions out of the total that account for the largest amount of skipped measurement time Ts. In some examples, an ordered list of the minimum number of skipped measurement time L {rr.sk.ip rr.sk.ip r^skip 1 11,,1 [ may be kept with 1 2 Nmin J rpSkip rrr Skip > . In some examples, overall skipped measurement time Ts is Nmin computed as the sum of time in the list while overall measurement time TM is the sum of measurement occasions corresponding to the list of largest values L.

[0059] Turning now to FIG. 6, an example flowchart is illustrated for a process 600 performed by an apparatus embodied by, associated with or otherwise in communication with (hereinafter generally referenced as being embodied by) a user equipment (110) in order to scale a measurement period 500.

[0060] As shown in block 610 of FIG. 6, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), or the like, for determining (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled.

[0061] As shown in block 620 of FIG. 6, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), or the like, for in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (620) a scaling factor associated with the measurement period (500). In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by dynamically determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by identifying the scaling factor that has been preconfigured. In one or more embodiments, the scaling factor is preconfigured based on a maximum number of measurement occasions (502) that are allowed to be skipped within the measurement period (500). In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by determining the scaling factor based on a configuration of the user equipment (110). In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available. In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor so as to ensure that at least a predefined number of measurement occasions (504) remain within the measurement period (500) during which one or more radio resource management measurements are obtained (640) after having eliminated one or more measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (640) satisfies a predefined threshold. In one or more embodiments, the user equipment (110) is caused to determine that at least one measurement occasion (502) within the measurement period (500) is only partially skipped, and wherein the user equipment (110) is caused to determine (620) the scaling factor in an instance m which the at least one measurement occasion (502) within the measurement period (500) is only partially skipped such that the measurement period (500) is extended (630) to a lesser degree than in an instance in which the at least one measurement occasion (502) within the measurement period (500) is fully skipped. In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor based on a change in time during which radio resource management measurements are obtained (640) in the one or more measurement occasions (504) within the measurement period (500) that is attributable to the at least partial skipping of the at least one measurement occasion (502).

[0062] As shown in block 630 of FIG. 6, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), or the like, for scaling (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor.

[0063] As shown in block 640 of FIG. 6, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), or the like, for obtaining (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0064] As shown in optional block 650 of FIG. 6, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), or the like, for providing (110) information (204) to a network node (112) regarding the one or more radio resource management measurements during the one or more measurement occasions (504) within the measurement period (500).

[0065] Turning now to FIG. 7, an example flowchart is illustrated for a process 700 performed by an apparatus embodied by, associated with or otherwise in communication with (hereinafter generally referenced as being embodied by) a user equipment (110) in order to extend a measurement period 500.

[0066] As shown in block 710 of FIG. 7, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), the like, for determining (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled.

[0067] As shown in block 720 of FIG. 7, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), the like, for, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by dynamically determining an actual number of measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by identifying a preconfigured maximum number of measurement occasions (502) within the measurement period (500) that may be skipped. In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped based on a configuration of the user equipment (110).

[0068] As shown in block 730 of FIG. 7, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), the like, for extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) to include no more than a predefined number of measurement occasions (502) within the measurement period (500), as extended (730), that are skipped. In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) including both the number of measurement occasions (502) within the measurement period (500) that are skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) until there are at least a predefined number of measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740). In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) to add a number of measurement occasions (504) during which the one or more radio resource management measurements are obtained (740) that are equal to the number of measurement occasions (502) within the measurement period (500) that are skipped. In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available. In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) such that a number of measurement occasions (502) within the measurement period (500) that are skipped satisfies a predefined threshold.

[0069] As shown in block 740 of FIG. 7, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), the like, for obtaining (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0070] As shown in optional block 750 of FIG. 7, the apparatus embodied by the user equipment (110) includes means, such as the processing circuitry (220), the communication interface (260), the like, for providing (110) information (204) to a network node (112) regarding the one or more radio resource management measurements during the one or more measurement occasions (504) within the measurement period (500).

[0071] FIGS. 6-7 illustrate flowcharts depicting methods according to an example embodiment of the present disclosure. It will be understood that each block of the flowcharts and combination of blocks in the flowcharts may be implemented by various means, such as hardware, firmware, processor, circuitry, and / or other communication devices associated with execution of software including one or more computer program instructions. For example, one or more of the procedures described above may be embodied by computer program instructions. In this regard, the computer program instructions which embody the procedures described above may be stored by a memory device 240 of an apparatus employing an embodiment and executed by a processor 220. As will be appreciated, any such computer program instructions may be loaded into a computer or other programmable apparatus (for example, hardware) to produce a machine, such that the resulting computer or other programmable apparatus implements the functions specified in the flowchart blocks. These computer program instructions may also be stored in a computer-readable memory that may direct a computer or other programmable apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture the execution of which implements the function specified in the flowchart blocks. The computer program instructions may also be loaded into a computer or other programmable apparatus to cause a series of operations to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide operations for implementing the functions specified in the flowchart blocks.

[0072] Accordingly, blocks of the flowcharts support combinations of means for performing the specified functions and combinations of operations for performing the specified functions for performing the specified functions. It will also be understood that one or more blocks of the flowcharts, and combinations of blocks in the flowcharts, may be implemented by special purpose hardware-based computer systems which perform the specified functions, or combinations of special purpose hardware and computer instructions.

[0073] In one or more embodiments, a user equipment (110) is provided, including at least one processor (220) and at least one memory (240) storing instructions that, when executed by the processor (220), cause the user equipment (110) to determine (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (620) a scaling factor associated with the measurement period (500). The user equipment (110) is further caused to scale (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) is further caused to obtain (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0074] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by dynamically determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped.

[0075] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by identifying the scaling factor that has been preconfigured.

[0076] In one or more embodiments, the scaling factor is preconfigured based on a maximum number of measurement occasions (502) that are allowed to be skipped within the measurement period (500).

[0077] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by determining the scaling factor based on a configuration of the user equipment (110).

[0078] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available.

[0079] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor so as to ensure that at least a predefined number of measurement occasions (504) remain within the measurement period (500) during which one or more radio resource management measurements are obtained (640) after having eliminated one or more measurement occasions (502) within the measurement period (500) that are skipped.

[0080] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (640) satisfies a predefined threshold.

[0081] In one or more embodiments, the user equipment (110) is caused to determine that at least one measurement occasion (502) within the measurement period (500) is only partially skipped, and wherein the user equipment (110) is caused to determine (620) the scaling factor in an instance in which the at least one measurement occasion (502) within the measurement period (500) is only partially skipped such that the measurement period (500) is extended (630) to a lesser degree than in an instance in which the at least one measurement occasion (502) within the measurement period (500) is fully skipped.

[0082] In one or more embodiments, the user equipment (110) is caused to determine (620) the scaling factor based on a change in time during which radio resource management measurements are obtained (640) in the one or more measurement occasions (504) within the measurement period (500) that is attributable to the at least partial skipping of the at least one measurement occasion (502).

[0083] In one or more embodiments, a user equipment (110) is provided, including at least one processor (220) and at least one memory (240) storing instructions that, when executed by the processor (220), cause the user equipment (110) to determine (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to obtain (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0084] In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by dynamically determining an actual number of measurement occasions (502) within the measurement period (500) that are skipped.

[0085] In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by identifying a preconfigured maximum number of measurement occasions (502) within the measurement period (500) that may be skipped.

[0086] In one or more embodiments, the user equipment (110) is caused to determine (720) the number of measurement occasions (502) within the measurement period (500) that are skipped based on a configuration of the user equipment (110).

[0087] In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) to include no more than a predefined number of measurement occasions (502) within the measurement period (500), as extended (730), that are skipped.

[0088] In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) including both the number of measurement occasions (502) within the measurement period (500) that are skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) until there are at least a predefined number of measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740).

[0089] In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) to add a number of measurement occasions (504) during which the one or more radio resource management measurements are obtained (740) that are equal to the number of measurement occasions (502) within the measurement period (500) that are skipped.

[0090] In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available.

[0091] In one or more embodiments, the user equipment (110) is caused to extend (730) the measurement period (500) by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) such that a number of measurement occasions (502) within the measurement period (500) that are skipped satisfies a predefined threshold.

[0092] In one or more embodiments, a computer-implemented method is provided is provided, that is performed by a user equipment (110) and includes determining (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The method further includes, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (620) a scaling factor associated with the measurement period (500). The method further includes scaling (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The method further includes obtaining (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0093] In one or more embodiments, a computer-implemented method is provided, that is performed by a user equipment (110) and includes determining (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The method further includes, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The method further includes extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The method further includes obtaining (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0094] In one or more embodiments, a non-transitory computer readable storage medium is provided including computer instructions that, when executed by a user equipment (110), cause the user equipment (110) to determine (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (620) a scaling factor associated with the measurement period (500). The user equipment (110) is further caused to scale (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) is further caused to obtain (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0095] In one or more embodiments, a non-transitory computer readable storage medium is provided including computer instructions that, when executed by a user equipment (110), cause the user equipment (110) to determine (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) is further caused to, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determine (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to extend (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) is further caused to obtain (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0096] In one or more embodiments, a user equipment (110) is provided is provided that includes means for determining (610) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) further includes means for, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (620) a scaling factor associated with the measurement period (500). The user equipment (110) further includes means for scaling (630) the measurement period (500) such that the measurement period (500) is extended (630) based on the scaling factor. The user equipment (110) further includes means for obtaining (640) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (630).

[0097] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor by dynamically determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped.

[0098] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor by identifying the scaling factor that has been preconfigured.

[0099] In one or more embodiments, the scaling factor is preconfigured based on a maximum number of measurement occasions (502) that are allowed to be skipped within the measurement period (500).

[0100] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor by determining the scaling factor based on a configuration of the user equipment (110).

[0101] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor by determining the scaling factor based on a number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available.

[0102] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor so as to ensure that at least a predefined number of measurement occasions (504) remain within the measurement period (500) during which one or more radio resource management measurements are obtained (640) after having eliminated one or more measurement occasions (502) within the measurement period (500) that are skipped.

[0103] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (640) satisfies a predefined threshold.

[0104] In one or more embodiments, the user equipment (110) includes means for determining that at least one measurement occasion (502) within the measurement period (500) is only partially skipped, where the user equipment (110) includes means for determining (620) the scaling factor in an instance in which the at least one measurement occasion (502) within the measurement period (500) is only partially skipped such that the measurement period (500) is extended (630) to a lesser degree than in an instance in which the at least one measurement occasion (502) within the measurement period (500) is fully skipped.

[0105] In one or more embodiments, the user equipment (110) includes means for determining (620) the scaling factor based on a change in time during which radio resource management measurements are obtained (640) in the one or more measurement occasions (504) within the measurement period (500) that is attributable to the at least partial skipping of the at least one measurement occasion (502).

[0106] In one or more embodiments, a user equipment (110) is provided, that includes means for determining (710) that at least partial skipping of at least one measurement occasion (502) of a measurement period (500) is enabled. The user equipment (110) further includes means for, in an instance in which at least partial skipping of at least one measurement occasion (502) of the measurement period (500) is enabled, determining (720) a number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) further includes means for extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped. The user equipment (110) further includes means for obtaining (740) one or more radio resource management measurements during one or more measurement occasions (504) within the measurement period (500), as extended (730).

[0107] In one or more embodiments, the user equipment (110) includes means for determining (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by dynamically determining an actual number of measurement occasions (502) within the measurement period (500) that are skipped.

[0108] In one or more embodiments, the user equipment (110) includes means for determining (720) the number of measurement occasions (502) within the measurement period (500) that are skipped by identifying a preconfigured maximum number of measurement occasions (502) within the measurement period (500) that may be skipped.

[0109] In one or more embodiments, the user equipment (110) includes means for determining (720) the number of measurement occasions (502) within the measurement period (500) that are skipped based on a configuration of the user equipment (110). [OHO] In one or more embodiments, the user equipment (110) includes means for extending (730) the measurement period (500) to include no more than a predefined number of measurement occasions (502) within the measurement period (500), as extended (730), that are skipped.

[0111] In one or more embodiments, the user equipment (110) includes means for extending (730) the measurement period (500) including both the number of measurement occasions (502) within the measurement period (500) that are skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) until there are at least a predefined number of measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740).

[0112] In one or more embodiments, the user equipment (110) includes means for extending (730) the measurement period (500) to add a number of measurement occasions (504) during which the one or more radio resource management measurements are obtained (740) that are equal to the number of measurement occasions (502) within the measurement period (500) that are skipped.

[0113] In one or more embodiments, the user equipment (110) includes means for extending (730) the measurement period (500) based on the number of measurement occasions (502) within the measurement period (500) that are skipped and a minimum number of measurement occasions (504) within the measurement period (500) that are required to be available.

[0114] In one or more embodiments, the user equipment (110) includes means for extending (730) the measurement period (500) by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion (502) within the measurement period (500) that is skipped and the one or more measurement occasions (504) within the measurement period (500) during which the one or more radio resource management measurements are obtained (740) such that a number of measurement occasions (502) within the measurement period (500) that are skipped satisfies a predefined threshold.

[0115] Many modifications and other embodiments set forth herein will come to mind to one skilled in the art to which this disclosure pertains having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Therefore, it is to be understood that the disclosure is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims.

[0116] Moreover, although the foregoing descriptions and the associated drawings describe example embodiments in the context of certain example combinations of elements and / or functions, it should be appreciated that different combinations of elements and / or functions may be provided by alternative embodiments without departing from the scope of the appended claims. In this regard, for example, different combinations of elements and / or functions than those explicitly described above are also contemplated as may be set forth in some of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

[0117] List of Abbreviations:

[0118] CSI-RS: Channel State Information Reference Signal.

[0119] CSSF: Carrier-Specific Scaling Factor.

[0120] DRX: Discontinuous Reception.

[0121] FR1: Frequency Range 1.

[0122] FR2: Frequency Range 2.

[0123] MGRP: Measurement Gap Repetition Period.

[0124] PDCCH: Physical Downlink Control Channel.

[0125] PDSCH: Physical Downlink Shared Channel.

[0126] PSS: Primary Synchronization Signal.

[0127] PUCCH: Physical Uplink Control Channel.

[0128] PUSCH: Physical Uplink Shared Channel.

[0129] RSRP: Reference Signal Received Power.

[0130] SMTC: Synchronization Signal / Physical Broadcast Channel Block Measurement Timing Configuration.

[0131] SRS: Sounding Reference Signal.

[0132] SSB- Synchronization Signal Block.

[0133] SS-RSRP: Synchronization Signal Reference Signal Received Power.

[0134] SS-RSRQ: Synchronization Signal Reference Signal Received Quality.

[0135] SSS: Secondary Synchronization Signal.

[0136] SS-SINR- Synchronization Signal Signal-to-Noise and Interference Ratio.

Claims

1. A user equipment, comprising:at least one processor; andat least one memory storing instructions that, when executed by the processor, cause the user equipment to perform:determine that at least partial skipping of at least one measurement occasion of a measurement period is enabled;in an instance in which at least partial skipping of at least one measurement occasion of the measurement period is enabled, determine a scaling factor associated with the measurement period;scale the measurement period such that the measurement period is extended based on the scaling factor; andobtain one or more radio resource management measurements during one or more measurement occasions within the measurement period, as extended.

2. The user equipment of claim 1, wherein the user equipment is caused to determine the scaling factor by dynamically determining the scaling factor based on a number of measurement occasions within the measurement period that are skipped.

3. The user equipment of claim 1, wherein the user equipment is caused to determine the scaling factor by identifying the scaling factor that has been preconfigured.

4. The user equipment of claim 3, wherein the scaling factor is preconfigured based on a maximum number of measurement occasions that are allowed to be skipped within the measurement period.

5. A computer-implemented method, comprising performing by a user equipment:determining that at least partial skipping of at least one measurement occasion of a measurement period is enabled;in an instance in which at least partial skipping of at least one measurement occasion of the measurement period is enabled, determining a scaling factor associated with the measurement period;scaling the measurement period such that the measurement period is extended based on the scaling factor; andobtaining one or more radio resource management measurements during one or more measurement occasions within the measurement period, as extended.

6. A user equipment, comprising:means for determining that at least partial skipping of at least one measurement occasion of a measurement period is enabled;means for, in an instance in which at least partial skipping of at least one measurement occasion of the measurement period is enabled, determining a scaling factor associated with the measurement period;means for scaling the measurement period such that the measurement period is extended based on the scaling factor; andobtaining one or more radio resource management measurements during one or more measurement occasions within the measurement period, as extended.

7. The user equipment of claim 6, wherein the scaling factor is determined by dynamically determining the scaling factor based on a number of measurement occasions within the measurement period that are skipped.

8. The user equipment of claim 6, wherein the scaling factor is determined by identifying the scaling factor that has been preconfigured.

9. The user equipment of claim 8, wherein the scaling factor is preconfigured based on a maximum number of measurement occasions that are allowed to be skipped within the measurement period.

10. The user equipment of claim 6, wherein the scaling factor is determined based on a configuration of the user equipment.

11. The user equipment of claim 6, wherein the scaling factor is determined based on a number of measurement occasions within the measurement period that are skipped and a minimum number of measurement occasions within the measurement period that are required to be available.

12. The user equipment of claim 6, wherein the scaling factor is determined so as to ensure that at least a predefined number of measurement occasions remain within the measurement period during which one or more radio resource management measurements are obtained after having eliminated one or more measurement occasions within the measurement period that are skipped.

13. The user equipment of claim 6, wherein the scaling factor is determined by ensuring that a ratio of a total number of measurement occasions including both the at least one measurement occasion within the measurement period that is skipped and the one or more measurement occasions within the measurement period during which the one or more radio resource management measurements are obtained satisfies a predefined threshold.

14. The user equipment of claim 6, further comprising means for determining that at least one measurement occasion within the measurement period is only partially skipped, and wherein the user equipment is caused to determine the scaling factor in an instance in which the at least one measurement occasion within the measurement period is only partially skipped such that the measurement period is extended to a lesser degree than in an instance in which the at least one measurement occasion within the measurement period is fully skipped.

15. The user equipment of claim 6, wherein the scaling factor is determined based on a change in time during which radio resource management measurements are obtained in the one or more measurement occasions within the measurement period that is attributable to the at least partial skipping of the at least one measurement occasion.

Images