Method and apparatus for determining path loss

Abstract

This disclosure provides a method and apparatus for determining path loss. The method is applied to user equipment (UE), where UE is a narrowband Internet of Things (NB-IoT) device. The method includes: determining the transmission power of a downlink narrowband reference signal (NRS); determining a measurement value of the received power of the narrowband reference signal (NRSRP); and, where a predefined upper-layer filter parameter is not received from a base station, determining the path loss between the base station and the UE based on the transmission power of the downlink NRS and the measurement value of the NRSSRP.By using the path loss determination method provided in this disclosure, during the determination of the UE transmission power, the configuration information load sent by a base station can be reduced, unnecessary retransmission can be avoided, and the UE power consumption in the NB-IoT can be reduced.

Description

1 / 26 METHOD AND APPARATUS FOR DETERMINING PATH LOSS FIELD OF APPLICATION

[0001] This disclosure relates generally to the technical field of communication and, more particularly, to a method and apparatus for determining path loss. STATE OF THE ART

[0002] Along with the development of wireless communication technologies, a mobile communication network has gradually evolved into a 5th generation (5G) network. The Long Term Evolution (LTE)-based Narrowband Internet of Things (NB-IoT) has been approved by the 3rd Generation Partnership Project (3GPP) to become a standard for a low-power wide-area network in a 5G network communication system. NB-IoT has deep indoor coverage, low cost, low power consumption, wide connections, and similar features for typical low-data-rate application scenarios, massive terminals, wide coverage requirements, and other characteristics, as well as a broad perspective in the application of the Internet of Things such as smart cities, wearable devices, smart homes, and smart ammeters.

[0003] Power control is an important function of a wireless communication system. To ensure that a base station can receive information from the User Equipment (UE), the UE is required to control its own transmission power in accordance with the power control indication information sent by the base station.

[0004] In an LTE system, the uplink transmission power of the UE can be adjusted in real time according to the path loss between a base station and the UE. In related techniques, the UE can calculate a difference between the transmission power of a downlink reference signal and a value Petition 870200076876, dated 06 / 19 / 2020, page 35 / 74 2 / 26 of measurement of received power of filtered upper-layer reference signal to determine the path loss of a channel between the UE and the base station. In this process of determining the uplink transmission power of the UE, the UE is not only required to determine the transmission power of the downlink reference signal according to the system information transmitted by the base station, but also required to determine a filter parameter of an upper-layer filter through configuration information transmitted by the base station, and then the UE can calculate the measurement value of the received power of the filtered upper-layer reference signal according to the upper-layer filter parameter.

[0005] According to the characteristics of NB-IoT, the UE in NB-IoT has characteristics of low data transmission rate, large number, low channel quality and the like, and is generally applied to a stationary or low-speed scenario. If the UE in NB-IoT also adopts a power control mode in the related arts, the load of configuration information transmission by the base station may inevitably increase due to the large number of UEs and the load of a system control channel may be further increased and, meanwhile, the relatively poor channel quality of the narrowband UE may inevitably increase the number of high-load configuration information retransmission times, wasting system resources and also increasing the UE's power consumption. SUMMARY OF THE INVENTION

[0006] To solve the problem in the related arts, the embodiments of the present disclosure provide a method and apparatus for determining path loss, to reduce the load on a base station for sending configuration information, avoid unnecessary retransmission and reduce the UE power consumption in NB-IoT. Petition 870200076876, dated 06 / 19 / 2020, p. 36 / 74 3 / 26

[0007] According to a first aspect of the embodiments of the present disclosure, a method for determining path loss is provided, which can be applied to the UE, the UE being an NB-IoT device, including the method that:

[0008] The transmission power of a downlink narrowband reference signal (NRS) is determined;

[0009] a measurement value of the received power of the narrowband reference signal (NRSRP) is determined; and

[0010] under a circumstance where a predefined upper layer filter parameter is not received from a base station, the path loss between the base station and the UE is determined according to the downlink NRS transmission power and the NRSRP measurement value.

[0011] Optionally, the operation in which the path loss between the base station and the UE is determined according to the downlink NRS transmission power and the NRSRP measurement value may include:

[0012] The received power of the filtered reference signal is determined according to a predefined upper layer filter coefficient and the NRSRP measurement value; and

[0013] Path loss is determined according to a difference between the transmission power of the downlink NRS and the received power of the filtered reference signal.

[0014] Optionally, the method may also include:

[0015] The predefined top-layer filter coefficient is dynamically determined according to a change in the UE's predefined parameter information, the predefined parameter information including at least one of a predefined device performance parameter and a service type from a support service.

[0016] Optionally, a value for the top layer filter coefficient Petition 870200076876, dated 06 / 19 / 2020, page 37 / 74 The default 4 / 26 can be a numeric value within a range of 0 to 1.

[0017] Optionally, the operation in which the filtered reference signal received energy is determined according to the highest preset layer filter coefficient and the NRSRP measurement value may include that:

[0018] a product of the adjacent preceding upper-layer filtered reference signal received power multiplied with an absolute value of a difference between a numerical value 1 and the predefined upper-layer filter coefficient is determined as the first parameter information;

[0019] a product of the predefined upper layer filter coefficient and a measurement value of the received power of the current reference signal are determined as second parameter information; and

[0020] a sum of the first parameter information and the second parameter information is determined as the filtered reference signal received power.

[0021] Optionally, the operation in which the path loss between the base station and the UE is determined according to the downlink NRS transmission power and the NRSRP measurement value may include:

[0022] Path loss is determined according to a difference between the downlink NRS transmission power and the NRSRP measurement value.

[0023] According to a second aspect of the embodiments of this disclosure, a path loss determination device is provided, which can be deployed in the UE, the UE being an NB-IoT device, including the device:

[0024] a first determination module, configured to determine the transmission power of a downlink NRS;

[0025] a second determination module, configured to determine an NRSRP measurement value; and

[0026] a path loss estimation module, configured to, under a circumstance that a predefined upper layer filter parameter is not Petition 870200076876, dated 06 / 19 / 2020, page 38 / 74 5 / 26 received from a base station, determine the path loss between the base station and the UE according to the NRS transmission power on the downlink and the NRSRP measurement value.

[0027] Optionally, the path loss estimation module may include:

[0028] a filtered power determination sub-module, configured to determine the received power of the filtered reference signal according to a predefined higher layer filter coefficient and the NRSRP measurement value; and

[0029] a path loss estimation submodule, configured to determine path loss based on a difference between the downlink NRS transmission power and the received filtered reference signal power.

[0030] Optionally, the device may also include:

[0031] a filter coefficient determination module, configured to dynamically determine the predefined upper layer filter coefficient according to a change in the UE predefined parameter information, the predefined parameter information including at least one of a predefined device performance parameter and a service type of a carrier service.

[0032] Optionally, a preset top-layer filter coefficient value can be a numeric value within a range of 0 to 1.

[0033] Optionally, the filtered power determination submodule may include:

[0034] a first parameter determination unit, configured to determine a product of the adjacent preceding upper-layer filtered reference signal received power multiplied by an absolute value of a difference between a numerical value 1 and the upper-layer filter coefficient Petition 870200076876, dated 06 / 19 / 2020, page 39 / 74 6 / 26 is predefined as the first parameter information;

[0035] a second parameter determination unit, configured to determine a product of the predefined upper layer filter coefficient and a measurement value of the current received reference signal as power to be the second parameter information; and

[0036] a filtered power determination unit, configured to determine a sum of the first parameter information and the second parameter information to be the received power of the filtered reference signal.

[0037] Optionally, the path loss estimation module can be configured to determine path loss based on the difference between the downlink NRS transmission power and the NRSRP measurement value.

[0038] According to a third aspect of the embodiments of the present disclosure, a non-transient, computer-readable storage medium is provided, which has computer instructions stored thereon that, when executed by a processor, cause the processor to implement the operations of any method of the first aspect.

[0039] According to a fourth aspect of the embodiments of the present disclosure, a path loss determination apparatus is provided, which may include:

[0040] A processor; and

[0041] a memory configured to store instructions executable by the processor,

[0042] , in which the processor can be configured to:

[0043] determine the transmission power of a downlink NRS;

[0044] determine an NRSRP measurement value; and

[0045] Under a circumstance where a predefined upper-layer filter parameter is not received from a base station, determine the path loss between the base station and the UE according to the NRS transmission power of Petition 870200076876, dated 06 / 19 / 2020, p. 40 / 74 7 / 26 downlink and the NRSRP measurement value.

[0046] The technical solutions provided in the forms of this disclosure may have the following beneficial effects.

[0047] In this disclosure, considering that UE in NB-IoT is generally applied to a mobile or stationary scenario with low data transmission rate and low travel speed, setting the high layer filter coefficient of a base station is of little help in improving the accuracy of UE measurement; therefore, the base station is not required to send configuration information with a higher predefined layer filter coefficient to the UE in real time to allow the UE to determine the higher layer filter coefficient according to the configuration information, so that system signaling overhead is effectively reduced; furthermore, retransmission of configuration information with the higher predefined layer filter coefficient due to low channel quality can be avoided, so that not only is the system overhead signal further reduced,but also a load of configuration information and the energy consumption of the base station can be reduced. Similarly, the UE is not required to continuously detect the configuration information transmitted by the base station and has the highest predefined layer filter coefficient, so the UE's energy consumption in receiving system configuration information can be reduced and a user's experience using the UE on a 5G network is enhanced. Furthermore, the reception time of at least one type of system configuration information can be saved for the UE in a path loss estimation process, so the efficiency of uplink transmission power determination can be improved, a delay in uplink service data transmission can be further reduced, the efficiency of information transmission can be improved, and the performance of the... Petition 870200076876, dated 06 / 19 / 2020, p. 41 / 74 8 / 26 device can be updated. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings, which are incorporated into and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0049] FIG. 1 is a flowchart showing a method for determining path loss according to an exemplary embodiment.

[0050] FIG. 2 is a flowchart showing another method for determining path loss according to an exemplary embodiment of the present disclosure.

[0051] FIG. 3 is a flowchart showing another method for determining path loss according to an exemplary embodiment of the present disclosure.

[0052] FIG. 4 is a block diagram of a path loss determination apparatus according to an exemplary embodiment of the present disclosure.

[0053] FIG. 5 is a block diagram of another path loss determination device according to an exemplary embodiment of this disclosure.

[0054] FIG. 6 is a block diagram of another path loss determination device according to an exemplary embodiment of this disclosure.

[0055] FIG. 7 is a block diagram of another path loss determination device according to an exemplary embodiment of this disclosure.

[0056] FIG. 8 is a structure diagram of another device applied to path loss determination according to an exemplary embodiment of this disclosure. DETAILED DESCRIPTION

[0057] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the attached drawings. The following description refers to the attached drawings in which the same numbers appear in different drawings. Petition 870200076876, dated 06 / 19 / 2020, pp. 42 / 74 9 / 26 represent the same or similar elements, unless otherwise represented. The implementations set forth in the following description of exemplary embodiments do not represent all implementations consistent with this disclosure. Instead, they are merely examples of apparatus and methods consistent with aspects related to this disclosure, as set forth in the appended claims.

[0058] The implementing bodies involved in this disclosure include a UE in the NB-IoT and a base station. The base station may be a base station, a sub-base station, and the like, provided with a large number of antenna arrays. The UE may be a user device, a user node, a tablet, a wearable device, a smart ammeter, a smart home device, a smart urban device, and the like that moves at a low speed or is relative to the base station. In a specific implementation process, the base station and the UE may be independent of each other and may also communicate to implement the technical solutions provided in this disclosure together.

[0059] In this disclosure, the UE, before transmitting uplink service data to the base station, needs to determine the transmission power of a physical uplink shared channel (PUSCH) of each basic information transmission unit according to the base station configuration information. The basic information transmission unit can be a transmission resource unit, such as a substructure, a slot, a mini slot, and a symbol. In the process of determining the UE transmission power, i.e., in a power control process, it is necessary to determine the path loss between the base station and the UE first.

[0060] With reference to FIG. 1, which is a flowchart showing a method for determining path loss according to an exemplary modality. The Petition 870200076876, dated 06 / 19 / 2020, pp. 43 / 74 The 10 / 26 method is applied to the UE in 5G NB-IoT, and the UE can be a massive machine-type communication device (mMTC). The method may include the following operations.

[0061] In operation 11, the transmission power of a downlink NRS is determined.

[0062] In the embodiments of this disclosure, the UE in 5G NB-IoT, when determining its own transmission power, is required to learn the reference signal power (RSP) determined by a base station first. The RSP refers to the downlink NRS transmission power.

[0063] In one embodiment, the UE can obtain the RSP through predefined configuration information sent by the base station, for example, predefined system information such as a System Information Block 2 (SIB2) transmitted by a base station from a cell.

[0064] In operation 12, an NRSRP measurement value is determined.

[0065] As a means of acquiring a measurement value for the received reference signal power in an LTE system, in the embodiments of this disclosure, the NRSRP measurement value can be determined by a physical layer of the UE based on the power of a received downlink reference signal in a unit of time. The downlink reference signal can be a reference signal sent by the base station and configured to estimate the quality of the uplink channel. In this disclosure, the UE can estimate the quality of the uplink channel based on the received power of the downlink signal and further determine the transmission power required for information transmission between the UE and the base station. The NRSRP measurement value can be understood as the practical received power, measured by the UE's physical layer, of the downlink reference signal.

[0066] In operation 13, under a circumstance in which a filter parameter of Petition 870200076876, dated 06 / 19 / 2020, pp. 44 / 74 If the 11 / 26 upper layer preset is not received from a base station, the path loss between the base station and the UE is determined according to the NRS transmission power on the downlink and the NRSRP measurement value.

[0067] The preset top layer filter parameter sent by the base station refers to a parameter value configured to determine a higher layer filter coefficient for the UE and is supposed to be represented by M. In related arts, the UE may be required to receive the M parameter of the preset top layer filter from the base station to determine its own top layer filter coefficient.

[0068] In the embodiments of this disclosure, when the UE determines path loss, the base station may not be required to transmit the predefined upper-layer filter parameter, i.e., the UE is not required to receive further configuration information to estimate the path loss between the base station and the UE, so that a configuration information load on the base station can be reduced. Furthermore, the UE may not be required to detect the predefined upper-layer filter parameter transmitted by the base station, thus reducing power consumption.

[0069] In this disclosure, operation 13 can be implemented in at least the following two conditions.

[0070] A first condition is that: it is necessary to perform upper layer filtering on the measurement value, obtained by the physical layer of the UE, of the received power of the reference signal.

[0071] With reference to FIG. 2, which is a flowchart showing another method of determining path loss according to an exemplary embodiment. Operation 13 may include the following operations.

[0072] In operation 131, the received power of the filtered reference signal is determined according to a higher layer filter coefficient. Petition 870200076876, dated 06 / 19 / 2020, pp. 45 / 74 12 / 26 preset and the NRSRP measurement value.

[0073] An upper UE layer refers to a layer above the physical layer in a communication protocol, for example, a Radio Resource Control (RRC) layer. In embodiments of the present disclosure, the physical layer of the UE, after obtaining the NRSRP measurement value, can send it to the upper UE layer, for example, to the RRC layer, and filtering can be performed on the NRSRP measurement value through an upper layer filter to obtain the filtered received reference signal energy which can be represented as filtered upper layer NRSRP.

[0074] It is assumed that the filtered upper-layer NRSRP is simply represented as Fn, a calculation involving a filter coefficient α of the upper-layer filter. In the present disclosure, the higher-layer filter coefficient α can be determined by the UE and may not need to be determined in real time according to the predefined upper-layer filter parameter transmitted by the base station.

[0075] With reference to FIG. 3, which is a flowchart showing another method of determining path loss according to an exemplary embodiment. Operation 131 may include the following operations.

[0076] In operation 1311, a product of an absolute value of a difference between a numerical value 1 and the predefined upper-layer filter coefficient multiplied by the received power of the adjacent preceding upper-layer filtered reference signal is determined as the first parameter information.

[0077] In this disclosure, a value of the predefined upper-layer filter coefficient α determined by the UE can vary from 0 to 1. The received power of the adjacent preceding upper-layer filtered reference signal refers to the received power of the determined upper-layer filtered reference signal. Petition 870200076876, dated 06 / 19 / 2020, pp. 46 / 74 13 / 26 by the EU at an earlier adjacent time.

[0078] In operation 1312, a product of the preset upper layer filter coefficient and a measurement value of the received power of the current reference signal is determined as the second parameter information.

[0079] In operation 1313, a sum of the first parameter information and the second parameter information is determined as the filtered reference signal received energy.

[0080] The calculation can be represented by the following formula (1): =formula(1X

[0081] where α represents the predefined top-layer filter coefficient F in UE represents the received power of the current filtered reference signal, p "-i" represents the received power of the filtered reference signal from the layer. M superior anterior adjacent and represents the measurement value, currently obtained by the UE physical layer, of the NRSRP.

[0082] For example, it is assumed that the predefined top-layer filter coefficient α in the UE, for example, a smart ammeter, is 0.5, the actual top-layer filtered NRSRP can be represented by the following formula (2): F =0.5*(E j +À / J formula (2).

[0083] In operation 132, path loss is determined according to a difference between the transmission power of the downlink NRS and the received power of the filtered reference signal.

[0084] Correspondingly, the UE can estimate path loss using the following formula (3): PLc-nrs-Power + nrs-PowerOffsetNon Anchor - higher layer filtered NRSRP Petition 870200076876, dated 06 / 19 / 2020, page 47 / 74 14 / 26 formula (3), where PLc represents path loss, nrs-Power represents the NRS transmission power transmitted by the base station, nrs-PowerOffsetNonAnchor represents a non-anchor power offset of the NRS and the upper layer filtered NRSRP is a narrowband reference signal power filtered by the upper layer.

[0085] The two physical parameters nrs-Power and nrs-PowerOffsetNonAnchor can be acquired by the upper layer of the UE, for example, the RRC layer, from related configuration information received from the base station.

[0086] In the embodiments of the present disclosure, the UE can determine the path loss through the following process: the measurement value of the present NRSRP, i.e., , q determined by the physical layer according to the received downlink reference signal; then, the measurement value of the present NRSRP is sent to the upper layer, for example, the RRC layer, and filtering processing is performed to obtain a measurement value of the received power of the filtered reference signal; and then, the filtered NRSRP from the upper layer is returned to the physical layer to allow the UE physical layer to estimate the actual path loss between the base station and the UE according to formula (3) and further determine the UE transmission power for a PUSCH.

[0087] In another embodiment of this disclosure, the UE may dynamically determine the predefined upper-layer filter coefficient based on a change in the UE's predefined parameter information. The predefined parameter information may include at least one of the following: a predefined device performance parameter, a service type of a carrier service, and other information. The predefined device performance parameter may be a parameter, such as a UE movement speed, and the service type of the carrier service may be a type of Petition 870200076876, dated 06 / 19 / 2020, pp. 48 / 74 15 / 26 service, like the mMTC.

[0088] In one embodiment of the present disclosure, the UE can dynamically adjust its own upper layer filter coefficient between the numerical values ​​0 and 1 according to the impact of the predefined parameter information on the UE's transmission power.

[0089] In one example, the determination process might be as follows: a coefficient impact value is determined according to predefined parameter information, with the coefficient impact value set to determine the highest UE layer filter coefficient; the coefficient impact value is compared to a predefined threshold; if the coefficient impact value is less than the predefined threshold, the highest layer filter coefficient is determined according to a first predefined numerical value; and if the coefficient impact value is greater than or equal to the predefined threshold, the highest layer filter coefficient is determined according to a second predefined numerical value. The first predefined numerical value and the second predefined numerical value are predefined numerical values ​​between the numerical values ​​0 and 1, and for example, are 0.3 and 0.6, respectively.

[0090] For example, in a case where the UE dynamically adjusts the preset top-layer filter coefficient according to the preset device performance parameter, and the preset device performance parameter is assumed to be the UE's movement speed, the adjustment process could be as follows: the UE's current movement speed is determined, and if the current movement speed is less than a preset speed limit, the preset top-layer filter coefficient can be determined in any of the following ways:

[0091] One way is that: the numerical value of the UE's predefined filter coefficient is determined as the first predefined numerical value, by Petition 870200076876, dated 06 / 19 / 2020, page 49 / 74 16 / 26 example, 0.3; and

[0092] a second way is that: a higher layer filter coefficient, for example, 0.2, is determined dynamically within a range of predefined numerical values, taking the first numerical value as an endpoint value, for example, 0 ~ 0.3, according to a predefined rule and the current speed of movement.

[0093] Similarly, in a case where the actual movement speed is greater than or equal to the preset speed limit, a higher layer filter coefficient can be determined based on the above-mentioned methods as the second preset numerical value, for example, 0.6, or a higher layer filter coefficient, for example, 0.45, can be determined dynamically according to the preset rule within another range of preset numerical values, such as 0.3 to 0.6, which accepts the second numerical value as the final value.

[0094] As above, the UE can dynamically adjust the highest layer filter coefficient between the numerical values ​​0 and 1 according to the service type of the current support service or calculate the coefficient impact value according to the UE device performance parameter and the service type and according to a predefined weight and dynamically determine a highest layer filter coefficient of the UE between the numerical values ​​0 and 1 according to the coefficient impact value and the predefined rule.

[0095] For example, when a core UE service is a service in a stopped or low-speed state, for example, a meter reading service and a monitoring service, the UE may determine the numerical value of the predefined upper-layer filter coefficient to be a relatively small numerical value, for example, 0.2; and when the core UE service is a medium / high-speed service, for example, vehicle internet and monitoring of Petition 870200076876, dated 06 / 19 / 2020, pp. 50 / 74 17 / 26 trajectory, the numerical value of the predefined top layer filter coefficient can be set to a relatively large numerical value, for example, 0.6.

[0096] A second condition is that: the UE directly estimates the path loss according to the measurement value, measured by the physical layer, of the downlink NRS. In the embodiments of the current disclosure, the EU can determine path loss based on the difference between the downlink NRS transmission power and the NRSRP measurement value.

[0097] In the embodiments of the present disclosure, it may be understood that α in formula (1) may be 1. The corresponding path loss estimate may be represented by the following formula (4): PLc = nrs-Power + nrs-PowerOffsetNonAnchor - NRSRP formula (4)

[0098] In the embodiments of the present disclosure, the UE can determine the path loss through the following process: the measurement value of the present NRSRP, i.e., is determined by the physical layer according to the received downlink reference signal and nrs-PowerOffsetNonAnchor information transmitted by the base station are acquired by the physical layer of a higher layer, for example, an RRC layer; and then the present path loss between the base station and the UE is estimated by the UE physical layer according to formula (4) and the UE transmission power to the PUSCH is further determined.

[0099] It can be seen that, in the present disclosure, considering the characteristics of UE in NB-IoT, i.e., UE can be applied to a scenario of low data transmission rate, low speed of movement or stationary, high The configuration of the single-layer filter coefficient of a base station is of little help to improve the accuracy of the UE measurement and therefore the base station is not required to send a filter coefficient. Petition 870200076876, dated 06 / 19 / 2020, pp. 51 / 74 18 / 26 layer top preset to the UE in real time to allow the UE to determine a higher layer filter coefficient, according to the preset highest layer filter parameter, so that a system signaling overload is effectively reduced; furthermore, the retransmission of configuration information with the preset highest layer filter coefficient due to poor channel quality can be avoided; therefore, not only is the system overload signal further reduced, but also the configuration information load and the base station power consumption are reduced.Similarly, the UE is not required to continue detecting configuration information transmitted by the base station and has a predefined upper-layer filter parameter, so that the UE's power consumption in receiving system configuration information is reduced, and particularly for battery-powered UEs, such as smart ammeters and wearable devices, the endurance of a UE power supply can be extended and the user experience when using the UE on a 5G network can be improved.Furthermore, the time for receiving at least one type of system configuration information is saved for the UE in a path loss estimation process, so that the efficiency of determining the uplink transmission power can be improved, an uplink service data transmission delay can be further shortened, the efficiency of information transmission can be enhanced, and the device performance can be improved.

[0100] For simple description, each of the above-mentioned method modalities is expressed as a combination of a series of operations, but those skilled in the art should know that the present disclosure is not limited to the sequence of operations described, because some operations may be performed Petition 870200076876, dated 06 / 19 / 2020, pp. 52 / 74 19 / 26 in other sequences. or at the same time, according to this disclosure.

[0101] Second, those skilled in the art should also know that all embodiments described in the specification are optional embodiments and operations and modules involved are not always required by this disclosure.

[0102] Corresponding to the embodiments of application function implementation methods mentioned above, this disclosure also provides embodiments of an apparatus for implementing application functions and a corresponding terminal.

[0103] With reference to FIG. 4, which is a block diagram of a path loss determination device according to an exemplary embodiment. The device may be disposed in the UE, and the UE is an NB-IoT device. The device may include:

[0104] a first determination module 21, configured to determine the transmission power of a downlink NRS;

[0105] a second determination module 22, configured to determine an NRSRP measurement value; and

[0106] a path loss estimation module 23, configured to, under a circumstance that a predefined upper layer filter parameter is not received from a base station, determine the path loss between the base station and the UE according to the downlink NRS transmission power and the NRSRP measurement value.

[0107] With reference to FIG. 5, which is a block diagram of a path loss determination apparatus according to an exemplary embodiment. Based on the apparatus embodiment shown in FIG. 4, the path loss estimation module 23 may include:

[0108] a filtered power determination sub-module 231, configured to determine the received power of the filtered reference signal according to a Petition 870200076876, dated 06 / 19 / 2020, pp. 53 / 74 20 / 26 predefined top layer filter coefficient and the NRSRP measurement value; and

[0109] a path loss estimation sub-module 232, configured to determine path loss according to a difference between the downlink NRS transmission power and the received filtered reference power signal.

[0110] With reference to FIG. 6, which is a block diagram of a path loss determination apparatus according to an exemplary embodiment. Based on the embodiment shown in FIG. 4, the apparatus may further include:

[0111] a filter coefficient determination module 20, configured to dynamically determine the predefined upper layer filter coefficient according to a change in the UE predefined parameter information, the predefined parameter information including at least one of a predefined device performance parameter and a service type of a carrier service.

[0112] In the embodiments of this disclosure, a predefined top-layer filter coefficient value may be a numeric value within a range of 0 to 1.

[0113] With reference to FIG. 7, which is a block diagram of a path loss determination apparatus according to an exemplary embodiment. Based on the apparatus embodiment shown in FIG. 5, the filtered power determination submodule 231 may include:

[0114] a first parameter determination unit 2311, configured to determine a product of the received power of the filtered reference signal from the adjacent preceding upper layer multiplied by an absolute value of the difference between a numerical value 1 and the upper layer filter coefficient predefined to be the first parameter information;

[0115] a second parameter determination unit 2312, configured for Petition 870200076876, dated 06 / 19 / 2020, pp. 54 / 74 21 / 26 determine a product of the predefined upper layer filter coefficient multiplied by a measurement value of the received power of the current reference signal to be the second parameter information; and

[0116] a filtered power determination unit 2313, configured to determine a sum of the first parameter information and the second parameter information to be the power received from the filtered reference signal.

[0117] In another embodiment of the device in this disclosure, the path loss estimation module 23 can be configured to determine the path loss based on a difference between the downlink NRS transmission power and the NRSRP measurement value.

[0118] The embodiments of the apparatus correspond substantially to the embodiments of the method and, therefore, the related parts refer to the part of the descriptions of the embodiments of the method. The embodiments of the apparatus described above are only schematic; the units described as separate parts may or may not be physically separate, and the parts shown as units may or may not be physical units, and may be located in the same location or may also be distributed to various network units. Part or all of the modules contained therein may be selected according to a practical requirement to achieve the objective of the solutions of the present disclosure. Those skilled in the art can understand and implement without creative work.

[0119] Correspondingly, one aspect provides a path loss determination apparatus, which includes: a processor; and a memory configured to store an executable instruction for the processor,

[0120] where the processor is configured to:

[0121] determine the transmission power of a downlink NRS;

[0122] determine an NRSRP measurement value; and

[0123] under a circumstance that a top-layer filter parameter Petition 870200076876, dated 06 / 19 / 2020, pp. 55 / 74 If the preset 22 / 26 signal is not received from a base station, determine the path loss between the base station and the UE based on the downlink NRS transmission power and the NRSRP measurement value.

[0124] FIG. 8 is a structure diagram of an 800 path loss determination device according to an exemplary embodiment. For example, the 800 device can be UE in a 5G network, which can specifically be a mobile phone, a computer, a digital transmission terminal, a messaging device, a game console, a tablet, a medical device, exercise equipment, a personal equipment, a digital assistant, and a wearable device, such as a smartwatch, smart glasses, a smart bracelet, smart shoes, a smart ammeter, and a smart home device, and can be of types such as Advanced Mobile Broadband (eMBB), mMTC, and Ultra Reliable Low Latency Communication (URLLC) in the 5G network, respectively.

[0125] With reference to FIG. 8, the apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an Input / Output (I / O) interface 812, a sensor component 814 and a communication component 816.

[0126] The 802 processing component is typically configured to control the general operations of the 800 device, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The 802 processing component may include one or more 820 processors to execute instructions to perform all or part of the operations in the method mentioned above. In addition, the 802 processing component may include one or more modules that facilitate interaction between the 802 processing component and the other components. For example, the Petition 870200076876, dated 06 / 19 / 2020, pp. 56 / 74 The 23 / 26 802 processing component may include a multimedia module to facilitate interaction between the 808 multimedia component and the 802 processing component.

[0127] The 804 memory is configured to store various types of data to support the operations of the 800 device. Examples of such data may include instructions for any applications or methods operated on the 800 device, contact data, address book data, messages, images, video, etc. The 804 memory may be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as an SRAM (Static Random Access Memory), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, and an optical or magnetic disk.

[0128] The power component 806 is configured to provide power to various components of the device 800. The power component 806 may include a power management system, one or more power supplies, and other components associated with the generation, management, and distribution of power to the device 800.

[0129] The multimedia component 808 may include a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes the TP, it may be implemented as a touch screen to receive an input signal from the user. The TP includes one or more touch sensors to detect touches, swipes, and gestures on the TP. The touch sensors may not only detect a threshold of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action. In some embodiments, the Petition 870200076876, dated 06 / 19 / 2020, pp. 57 / 74 The 24 / 26 multimedia component 808 includes a front camera and / or a rear camera. The front camera and / or the rear camera can receive external multimedia data when the 800 device is in an operating mode, such as a photo or video mode. Each of the front and rear cameras can be a fixed optical lens system or have optical focus and zoom capabilities.

[0130] Audio component 810 is configured to output and / or input an audio signal. For example, audio component 810 includes a microphone (MIC), and the MIC is configured to receive an external audio signal when the device 800 is in operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signal can also be stored in memory 804 or sent via communication component 816. In some embodiments, audio component 810 also includes a speaker configured to output the audio signal.

[0131] The 812 I / O interface provides an interface between the 802 processing component and a peripheral interface module, and the peripheral interface module may be a keyboard, a click wheel, a button, and the like. The button may include, among others: a home button, a volume button, a start button, and a lock button.

[0132] The sensor component 814 includes one or more sensors configured to provide status evaluation in various aspects for the device 800. For example, the sensor component 814 can detect an activation / deactivation status of the device 800 and relative positioning of components, such as a screen and a small keyboard of the device 800, and the sensor component 814 can further detect a change in the position of the device 800 or a component of the device 800, presence or absence of contact between the user and the device 800, orientation or acceleration / deceleration of the device 800, and a change in the temperature of the device 800. The sensor component 814 may include a proximity sensor. Petition 870200076876, dated 06 / 19 / 2020, pp. 58 / 74 25 / 26 configured to detect the presence of a nearby object without any physical contact. The 814 sensor component may also include a light sensor, such as a Complementary Metal Oxide Semiconductor (CMOS) or Charge Coupled Device (CCD) image sensor, configured for use in an imaging application. In some embodiments, the 814 sensor component may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0133] The communication component 816 is configured to facilitate wired or wireless communication between the device 800 and another device. The device 800 can access a wireless network based on a communication standard, such as a Wireless Fidelity (WiFi) network, a 2nd generation (2G) or 3rd generation (3G) network, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a transmission signal or transmission-associated information from an external transmission management system through a transmission channel. In an exemplary embodiment, the communication component 816 also includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, UltraWide Band (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0134] In an exemplary embodiment, the 800 device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, and is configured to execute the aforementioned method. Petition 870200076876, dated 06 / 19 / 2020, pp. 59 / 74 26 / 26

[0135] In an exemplary embodiment, a non-transient computer-readable storage medium is also provided, including instructions, such as memory 804, including instructions, and the instructions can be executed by the processor 820 of the device 800 to implement the path loss determination method. For example, the non-transient computer-readable storage medium could be a ROM, a Random Access Memory (RAM), a CD Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0136] Other implementation solutions of the present disclosure will be evident to those skilled in the art from consideration of the specification and practice of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, following the general principles thereof and including departures from the present disclosure as included in known or customary practice in the art. The specification and examples are intended to be merely illustrative, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0137] It will be appreciated that this disclosure is not limited to the exact construction described above and illustrated in the accompanying drawings, and that various modifications and alterations may be made without departing from its scope. The scope of this disclosure is intended to be limited only by the appended claims. Petition 870200076876, dated 06 / 19 / 2020, pp. 60 / 74

Claims

1 / 6 CLAIMS 1. Method for determining path loss, applied to user equipment (UE), where UE is a Narrowband Internet of Things (NB-IoT) device, the method characterized by comprising: determining the transmission power of a downlink narrowband reference signal (NRS) (11); determining a measurement value of the received power of the narrowband reference signal (NRSRP) (12); and under a circumstance that a predefined upper layer filter parameter is not received from a base station, determining the path loss between the base station and the NNB-IoT device according to the transmission power of the downlink NRS and the measurement value of the NRSRP (13);where determining the path loss between the base station and the NB-IoT device according to the downlink NRS transmission power and the NRSRP measurement value comprises: determining the path loss between the base station and the NB-IoT device by: PLc = nrs-Power + nrs-PowerOffsetNonAnchor - NRSRP, where PLc is the path loss, nrs-Power is the downlink NRS transmission power transmitted by the base station, nrs-PowerOffsetNonAnchor is a non-anchor power offset of the downlink NRS, and NRSRP represents the actual received power, measured by a physical layer of the NB-IoT device, of the downlink NRS; or determining the filtered received power reference signal according to a predefined higher layer filter coefficient and the measurement value of Petition 870260036467, dated 17 / 04 / 2026, p. 16 / 21 2 / 6 NRSRP (131);and determine the path loss according to a difference between the transmission power of the downlink NRS and the received power of the filtered reference signal (132).; 2. A method according to claim 1, characterized in that it further comprises: dynamic determination of the predefined upper-layer filter coefficient according to a change in the predefined parameter information of the NB-IoT device, wherein the predefined parameter information comprises at least one of a predefined device performance parameter and a service type of a supporting service.

3. A method according to claim 1 or 2, characterized in that a predefined top-layer filter coefficient value is a numerical value within a range of 0 to 1.

4. Method according to claim 1 or 2, characterized in that the determination of the filtered received power reference signal according to the predefined upper layer filter coefficient and the NRSRP measurement value comprises: determining a product of the filtered reference signal adjacent to the preceding upper layer of received power multiplied by an absolute value of the difference between a numerical value 1 and the predefined upper layer filter coefficient to be the first parameter information (1311); determining a product of the predefined upper layer filter coefficient and a measurement value of the current received reference signal as power to be the second parameter information (1312); and determining a sum of the first parameter information and the second parameter information to be the filtered received power reference signal (1313).

5. Method, according to claim 1, characterized in that the determination of the path loss between the base station and the NB-IoT device according to the downlink NRS transmission power and the NRSRP measurement value comprises: determining the path loss according to a difference between the downlink NRS transmission power and the NRSRP measurement value.

6. Path loss determination apparatus, disposed in user equipment (UE), the UE being a narrowband Internet of Things (NB-IoT) device, the apparatus characterized by comprising: a first determination module (21), configured to determine the transmission power of a narrowband downlink reference signal (NRS); a second determination module (22), configured to determine a measurement value of the received power of the narrowband reference signal (NRSRP); and a path loss estimation module (23), configured to determine, under a circumstance that a predefined upper-layer filter parameter is not received from a base station, the path loss between the base station and the NB-IoT device according to the transmission power of the downlink NRS and the measurement value of the NRSRP;wherein the path loss estimation module is further configured to: determine the path loss between the base station and the NB-IoT device by: PLc = nrs-Power + nrs-PowerOffsetNonAnchor - NRSRP, Petition 870260036467, dated 04 / 17 / 2026, page 18 / 21 4 / 6 wherein PLc is the path loss, nrs-Power is the transmission power of the downlink NRS transmitted by the base station, nrs-PowerOffsetNonAnchor is a non-anchor power offset of the downlink NRS and NRSRP represents the actual received power, measured by a physical layer of the NB-IoT device, of the downlink NRS; or determine the received power of the filtered reference signal according to a predefined higher layer filter coefficient and the NRSRP measurement value; and determine the path loss based on the difference between the downlink NRS transmission power and the received power of the filtered reference signal.

7. Device according to claim 6, characterized in that it further comprises: a filter coefficient determination module (20), configured to dynamically determine the predefined upper layer filter coefficient according to a change in the predefined parameter information of the NB-IoT device, wherein the predefined parameter information comprises at least one of a predefined device performance parameter and a service type of a support service.

8. Apparatus, according to claim 6 or 7, characterized in that a predefined upper layer filter coefficient value is a numerical value within a range of 0 to 1.

9. Apparatus, according to claim 6 or 7, characterized in that the filtered power determination submodule (231) comprises: a first parameter determination module (2311), configured for Petition 870260036467, dated 17 / 04 / 2026, page.19 / 21 5 / 6 determine a product of the adjacent filtered reference signal from the preceding upper layer received power multiplied by an absolute value of a difference between a numerical value 1 and the predefined upper layer filter coefficient to be the first parameter information; a second parameter determination module (2312), configured to determine a product of the predefined upper layer filter coefficient and a measurement value of the current received reference signal as power to be the second parameter information; and a filtered power determination unit (2313), configured to determine a sum of the first parameter information and the second parameter information to be the received power of the filtered reference signal.

10. Apparatus, according to claim 6, characterized in that the path loss estimation module is configured to determine the path loss according to a difference between the transmission power of the downlink NRS and the NRSRP measurement value.

11. A non-transient, computer-readable storage medium with instructions stored in the computer, characterized in that, when executed by a processor, it causes the processor to implement the operations of the method in any one of claims 1-5.

12. Path loss determination apparatus, characterized in that it comprises: a processor (820); and a memory (804) configured to store instructions executable by the processor (820), wherein the processor (820) is configured to: determine the transmission power of a downlink narrowband reference signal (NRS) (11); Petition 870260036467, dated 17 / 04 / 2026, page 20 / 21 6 / 6 determine a measurement value of the received power of the narrowband reference signal (NRSRP) (12); and under the circumstance that a predefined upper layer filter parameter is not received from a base station, determine the path loss between the base station and a narrowband Internet of Things (NBIoT) device according to the downlink NRS transmission power and the NRSRP measurement value (13);wherein the processor (820) is further configured to: determine the path loss between the base station and the NB-IoT device by: PLc = nrs-Power + nrs-PowerOffsetNonAnchor - NRSRP, wherein PLc is the path loss, nrs-Power is the downlink NRS transmission power transmitted by the base station, nrs-PowerOffsetNonAnchor is a non-anchor power offset of the downlink NRS and NRSRP represents the actual received power, measured by a physical layer of the NB-IoT device, of the downlink NRS; or determine the received power of the filtered reference signal according to a predefined upper layer filter coefficient and the NRSRP measurement value (131); and determine the path loss according to the difference between the downlink NRS transmission power and the received power of the filtered reference signal (132). Petition 870260036467, dated 04 / 17 / 2026, page 21 / 21;

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