Method and system for performing a reliability analysis of a radio product

Abstract

The present disclosure relates to a method and a system for performing a reliability analysis of a radio product The method [300] comprises grouping, by an analysis unit [202], components of the radio product based on a functionality; identifying, by an identifier unit [204], at least one of critical components and non-critical components based at least on the grouping of the components; adding, by the analysis unit [202]: the critical components in a series connection in a logical group, and the non-critical components in a parallel connection; preparing, by a generator unit [206], a target reliability block diagram (RBD) based on the adding; determining, by the analysis unit [202], a reliability value of the radio product for a target time period based on the target RBD; and performing, by the analysis unit [202], the reliability analysis of the radio product based on the reliability value of the radio product.

Description

METHOD AND SYSTEM FOR PERFORMING A RELIABILITY ANALYSIS OF A RADIO PRODUCTTECHNICAL FIELDEmbodiments of the present disclosure generally relate to network performance management systems. More particularly, embodiments of the present disclosure relate to methods and systems for performing a reliability analysis of a radio product.BACKGROUNDThe following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of the prior art.Reliability is a fundamental attribute for a safe and a profitable operation of any technological system. Reliability analysis aims at studying one or more failure mechanisms of a system and at quantifying an associated likelihood. The outcomes of the reliability analysis aid to recognize design solutions and one or more maintenance actions for avoiding failures from occurring, and protective barriers for mitigating the outcomes of the failures.Also, an unreliable system directly impacts performance, cost-effectiveness, safety, and production yield. Further, the unreliable system is prone to one or more unexpected failures and downtime which also leads to one or more disruptions in operations and service delivery, which result in a degraded performance, slower processing times, and a decreased efficiency.Further, the one or more failures and downtime incurred by the unreliable system consumes costs associated with repair, maintenance, and potential loss of revenue due to one or more disrupted operations. Moreover, the need for frequent repairs or replacements may increase one or more operational expenses and reduce an overall cost-effectiveness of the system. The unreliable system pose one or more risks to personnel, assets, and a surrounding environment. Additionally, the unreliable system may experience one or more interruptions or defects in a production process thatresults in lower production yields and a decreased output quality, which also lead to delays in project timelines, increased scrap, or rework rates, and ultimately, reduced effectiveness.Hence, it is important to check the reliability of a product and while calculating the reliability of radio product there may be thousands of components and while performing reliability analysis, all components in the system must be included that makes the process of reliability calculation complex and challenging.Several systems and methods were developed for analysing the reliability of products; however, the existing systems and methods fail to perform an accurate reliability analysis. One of the key problem is the inability to identify a lowest and the highest reliable section of the product, due to which the manufactures fails to figure out where developments are required to make the system more reliable.Also, the existing solutions fails to optimize the failure rate to obtain best-case results by incorporating all the components in the system. The failure to incorporate all the components in the analysis may lead to unsatisfactory reliability outcomes, as certain critical components may be overlooked or inadequately addressed. Consequently, the reliability of the product may be compromised which results in one or more potential performance issues, one or more increased maintenance requirements, and decrease customer satisfaction.Thus, there exists an imperative need in the art to provide a system and method for performing the reliability analysis of the radio product.SUMMARYThis section is provided to introduce certain aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.An aspect of the present disclosure may relate to a method for performing a reliability analysis of a radio product. The method comprises grouping, by an analysis unit, one or more components of the radio product, based on a functionality of the one or more components. The method comprises identifying, by an identifier unit, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components. The method comprises adding, by the analysis unit the one or more critical components in a series connectionin a logical group, and the one or more non-critical components in a parallel connection. The method comprises preparing, by a generator unit, a target reliability block diagram (RBD) based on the adding. The method comprises determining, by the analysis unit, a reliability value of the radio product for a target time period based on the target RBD. The method comprises performing, by the analysis unit, the reliability analysis of the radio product based on the reliability value of the radio product.In an exemplary aspect of the present disclosure, the method further comprises setting, by the analysis unit, a temperature profile for the one or more components of the radio product, wherein the temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition. The method further comprises identifying, by the identifier unit, one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components. The method further comprises predicting, by the analysis unit using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components. The method further comprises determining, by the analysis unit, a worst-case failure rate for the radio product based on one of the predetermined target failure rate and the target failure rate.In an exemplary aspect of the present disclosure, the method further comprises setting, by the analysis unit, a duty cycle of the one or more components of the radio product.In an exemplary aspect of the present disclosure, the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and the predetermined target failure rate is determined based on a vendor input.In an exemplary aspect of the present disclosure, the worst-case failure rate for the radio product is determined based on one of an addition of the predetermined target failure rate for the one or more components, and an addition of the target failure rate for the one or more components.In an exemplary aspect of the present disclosure, the one or more critical components are irreplaceable by one or more other components of the radio product.In an exemplary aspect of the present disclosure, the method further comprises identifying by the processing identifier unit, one or more target components based on the reliability analysis of the radio product.Another aspect of the present disclosure may relate to a system for performing a reliability analysis of a radio product, the system comprises an analysis unit, configured to group, one or more components of the radio product, based on a functionality of the one or more components. The system comprises an identifier unit connected at least to the analysis unit, the identifier unit being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components. The analysis unit is further configured to add the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit connected at least to the identifier unit, the generator unit is configured to prepare, a target reliability block diagram (RBD) based on the adding. The analysis unit is further configured to determine, a reliability value of the radio product for a target time period based on the target RBD. The analysis unit is further configured to perform, the reliability analysis of the radio product based on the reliability value of the radio product.Yet another aspect of the present disclosure may relate to a user equipment (UE) comprising a processor connected to at least a transceiver unit, wherein the UE is configured to transmit, by the transceiver unit, a reliability analysis request to a system, wherein the system further comprises: an analysis unit, configured to group, one or more components of the radio product, based on a functionality of the one or more components; an identifier unit connected at least to the analysis unit, the identifier unit being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, wherein the analysis unit is further configured to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit connected at least to the identifier unit, the generator unit is configured to prepare, a target reliability block diagram (RBD) based on the adding, wherein the analysis unit is further configured to: determine, a reliability value of the radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product, and receive, by the transceiver unit, a result of the reliability analysis of the radio product associated with the reliability analysis request.Yet another aspect of the present disclosure may relate to a non-transitory computer readable storage medium storing instructions for performing a reliability analysis of a radio product, the instructions include executable code which, when executed by a one or more units of a system, causes: an analysis unit of the system to group, one or more components of the radio product, based on a functionality of the one or more components; an identifier unit of the system to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, the analysis unit is to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit of the system to prepare, a target reliability block diagram (RBD) based on the adding, the analysis unit configured to determine, a reliability value of the radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product.OBJECTS OF THE INVENTIONSome of the objects of the present disclosure, which at least one embodiment disclosed herein satisfies are listed herein below.It is an object of the present disclosure to provide a system and a method for performing a reliability analysis of a radio product.It is another object of the present disclosure to provide a solution to identify critical components in the radio product for reliability calculations.It is another object of the present disclosure to provide a solution that optimizes the failure rate to obtain the best-case results by incorporating all the components in the radio product.It is yet another object of the present disclosure to provide a solution to identify the scope of parallel connection in reliability block diagram to achieve best reliability value of the radio product.It is yet another object of the present disclosure to provide a solution to identify critical components of the radio product which reduces the failure turnaround time and helps in saving the Capital expenditures (CAPEX).DESCRIPTION OF THE DRAWINGSThe accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Also, the embodiments shown in the figures are not to be construed as limiting the disclosure, but the possible variants of the method and system according to the disclosure are illustrated herein to highlight the advantages of the disclosure. It will be appreciated by those skilled in the art that disclosure of such drawings includes disclosure of electrical components or circuitry commonly used to implement such components.FIG. 1 illustrates an exemplary block diagram of a computing device upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure.FIG. 2 illustrates an exemplary block diagram of a system for performing a reliability analysis of a radio product, in accordance with exemplary implementations of the present disclosure.FIG. 3 illustrates a method flow diagram for performing a reliability analysis of a radio product in accordance with exemplary implementations of the present disclosure.FIG. 4 illustrates an exemplary method flow diagram for prediction of a failure rate and reliability calculation of a radio product, in accordance with exemplary implementations of the present disclosure.FIG. 5 illustrates an exemplary block diagram of a Radio Frequency Front End board (RF FEB) sub-system division for reliability analysis.FIG. 6 illustrates an exemplary block diagram of an Integrated Baseband and Transceiver Board (IBTB) sub-system division for reliability analysis.The foregoing shall be more apparent from the following more detailed description of the disclosure.DETAILED DESCRIPTIONIn the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter may each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above.The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail.Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations may be performed in parallel or concurrently. In addition, the order of the operations may be rearranged. A process is terminated when its operations are completed but could have additional steps not included in a figure.The word “exemplary” and / or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and / or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive — in a manner similar to the term “comprising” as an open transition word — without precluding any additional or other elements.As used herein, a “processing unit” or “processor” or “operating processor” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a (Digital Signal Processing) DSP core, a controller, a microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input / output processing, and / or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.As used herein, “a user equipment”, “a user device”, “a smart-user-device”, “a smart- device”, “an electronic device”, “a mobile device”, “a handheld device”, “a wireless communication device”, “a mobile communication device”, “a communication device” may be any electrical, electronic and / or computing device or equipment, capable of implementing the features of the present disclosure. The user equipment / device may include, but is not limited to, a mobile phone, smart phone, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, wearable device or any other computing device which is capable of implementing the features of the present disclosure. Also, the user device may contain at least one input means configured to receive an input from unit(s) which are required to implement the features of the present disclosure.As used herein, “storage unit” or “memory unit” refers to a machine or computer-readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic disk storage media, optical storage media, flash memory devices or other types of machine-accessible storage media. The storage unit stores at least the data that may be required by one or more units of the system to perform their respective functions.As used herein “interface” or “user interface refers to a shared boundary across which two or more separate components of a system exchange information or data. The interface may also be referredto a set of rules or protocols that define communication or interaction of one or more modules or one or more units with each other, which also includes the methods, functions, or procedures that may be called.All modules, units, components used herein, unless explicitly excluded herein, may be software modules or hardware processors, the processors being a general-purpose processor, a special purpose processor, a conventional processor, a digital signal processor (DSP), a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, Application Specific Integrated Circuits (ASIC), Field Programmable Gate Array circuits (FPGA), any other type of integrated circuits, etc.As used herein the transceiver unit include at least one receiver and at least one transmitter configured respectively for receiving and transmitting data, signals, information, or a combination thereof between units / components within the system and / or connected with the system.Further, in accordance with the present disclosure, it is to be acknowledged that the functionality described for the various the components / units can be implemented interchangeably. While specific embodiments may disclose a particular functionality of these units for clarity, it is recognized that various configurations and combinations thereof are within the scope of the disclosure. The functionality of specific units as disclosed in the disclosure should not be construed as limiting the scope of the present disclosure. Consequently, alternative arrangements and substitutions of units, provided they achieve the intended functionality described herein, are considered to be encompassed within the scope of the present disclosure.As discussed in the background section, that reliability is a fundamental attribute that is crucial for the safe and profitable operation of any product. Further, an accurate or enhanced reliability involves analysing one or more failure mechanisms and quantifying associated possibilities to recognize resolutions and one or more maintenance actions. Also, the preventive measures prevent the failures and mitigate their consequences, impacting performance, cost-effectiveness, safety, and production yield. However, existing solutions often fail to identify the most and least reliable sections of the product and fail to optimize failure rates by incorporating all components. The currently known solutions have several shortcomings. The present disclosure aims to overcome the above-mentioned and other existing problems in this field of technology by providing method and system performing a reliability analysis of a radio product that is able to identify one or more critical components for reliability calculations, optimize the failure rate to obtain the best-careresults by incorporating all the components, and identify a scope of parallel connections to achieve best reliability. Additionally, the present disclosure groups one or more components of the radio product based on their functionality, identifies critical and non-critical components within the groups and configures the groups accordingly. Further, the present disclosure provides a configuration in which the one or more critical components are connected in series, while non- critical components are connected in parallel, for generating a target reliability block diagram (RBD). Additionally, a reliability value of the product for a pre-defined time period is then determined based on this RBD, that facilitates the performance of reliability analysis.Further, the present disclosure provides a solution that tunes the one or more values of failure rates to achieve one or more actual values and identifies a way to use the possibility of parallel systems in RBD for achieving better values. Also, the present disclosure helps in identifying one or more lowest and highest reliable sections of the radio product.FIG. 1 illustrates an exemplary block diagram of a computing device

[1000] (or as used herein as computer system

[1000] ) upon which the features of the present disclosure may be implemented in accordance with exemplary implementation of the present disclosure. In an implementation, the computing device

[1000] may also implement a method for performing a reliability analysis of a radio product utilising the system. In another implementation, the computing device

[1000] itself implements the method for performing the reliability analysis of the radio product using one or more units configured within the computing device

[1000] , wherein said one or more units are capable of implementing the features as disclosed in the present disclosure.The computing device

[1000] may include a bus

[1002] or other communication mechanism for communicating information, and a hardware processor

[1004] coupled with bus

[1002] for processing information. The hardware processor

[1004] may be, for example, a general purpose microprocessor. The computer system

[1000] may also include a main memory

[1006] , such as a random access memory (RAM), or other dynamic storage device, coupled to the bus

[1002] for storing information and instructions to be executed by the processor

[1004] . The main memory

[1006] also may be used for storing temporary variables or other intermediate information during execution of the instructions to be executed by the processor

[1004] . Such instructions, when stored in non-transitory storage media accessible to the processor

[1004] , render the computer system

[1000] into a special-purpose machine that is customized to perform the operations specified in the instructions. The computer system

[1000] further includes a read only memory(ROM)

[1008] or other static storage device coupled to the bus

[1002] for storing static information and instructions for the processor

[1004] .A storage device

[1010] , such as a magnetic disk, optical disk, or solid-state drive is provided and coupled to the bus

[1002] for storing information and instructions. The computer system

[1000] may be coupled via the bus

[1002] to a display

[1012] , such as a cathode ray tube (CRT), Liquid crystal Display (LCD), Light Emitting Diode (LED) display, Organic LED (OLED) display, etc. for displaying information to a computer user. An input device

[1014] , including alphanumeric and other keys, touch screen input means, etc. may be coupled to the bus

[1002] for communicating information and command selections to the processor

[1004] . Another type of user input device may be a cursor controller

[1016] , such as a mouse, a trackball, or cursor direction keys, for communicating direction information and command selections to the processor

[1004] , and for controlling cursor movement on the display

[1012] . This input device typically has two degrees of freedom in two axes, a first axis (e.g., x) and a second axis (e.g., y), that allow the device to specify positions in a plane.The computer system

[1000] may implement the techniques described herein using customized hard-wired logic, one or more ASICs or FPGAs, firmware and / or program logic which in combination with the computer system

[1000] causes or programs the computer system

[1000] to be a special-purpose machine. According to one implementation, the techniques herein are performed by the computer system

[1000] in response to the processor

[1004] executing one or more sequences of one or more instructions contained in the main memory

[1006] . Such instructions may be read into the main memory

[1006] from another storage medium, such as the storage device

[1010] . Execution of the sequences of instructions contained in the main memory

[1006] causes the processor

[1004] to perform the process steps described herein. In alternative implementations of the present disclosure, hard-wired circuitry may be used in place of or in combination with software instructions.The computer system

[1000] also may include a communication interface

[1018] coupled to the bus

[1002] . The communication interface

[1018] provides a two-way data communication coupling to a network link

[1020] that is connected to a local network

[1022] . For example, the communication interface

[1018] may be an integrated services digital network (ISDN) card, cable modem, satellite modem, or a modem to provide a data communication connection to a corresponding type of telephone line. As another example, the communication interface

[1018] may be a local area network (LAN) card to provide a data communication connection to acompatible LAN. Wireless links may also be implemented. In any such implementation, the communication interface

[1018] sends and receives electrical, electromagnetic, or optical signals that carry digital data streams representing various types of information.The computer system

[1000] can send messages and receive data, including program code, through the network(s), the network link

[1020] and the communication interface

[1018] . In the Internet example, a server

[1030] might transmit a requested code for an application program through the Internet

[1028] , the ISP

[1026] , the local network

[1022] , the host

[1024] and the communication interface

[1018] . The received code may be executed by the processor

[1004] as it is received, and / or stored in the storage device

[1010] , or other non-volatile storage for later execution.Referring to FIG. 2, an exemplary block diagram of a system

[0200] for performing a reliability analysis of a radio product is shown, in accordance with the exemplary implementations of the present disclosure. The system comprises at least one analysis unit

[0202] , at least one identifier unit

[0204] and at least one generator unit

[0206] . Also, all of the components / units of the system

[0200] are assumed to be connected to each other unless otherwise indicated below. As shown in the figures all units shown within the system should also be assumed to be connected to each other. Also, in FIG. 2 only a few units are shown, however, the system

[0200] may comprise multiple such units or the system

[0200] may comprise any such numbers of said units, as required to implement the features of the present disclosure. Further, in an implementation, the system

[0200] may be present in a user device to implement the features of the present disclosure. The system

[0200] may be a part of the user device / or may be independent of but in communication with the user device (may also referred herein as a UE). In another implementation, the system

[0200] may reside in a server or a network entity. In yet another implementation, the system

[0200] may reside partly in the server / network entity and partly in the user device.The system

[0200] is configured for performing the reliability analysis of the radio product, with the help of the interconnection between the components / units of the system

[0200] .In order to perform the reliability analysis of the radio product, the analysis unit

[0202] is configured to group one or more components of the radio product, based on a functionality of the one or more components.The present disclosure encompasses that the radio product refers to a device that utilize radio frequency technology for communication purposes such as radios, a handheld communicationdevices, a Wireless Fidelity (Wi-Fi) network device, a Bluetooth device, a broadcasting device like receivers, antennas and alike.The present disclosure encompasses that the one or more components include but not limited to transmitters, receivers, antennas, power supplies.The identifier unit

[0204] is connected at least to the analysis unit

[0202] and the identifier unit

[0204] being configured to identify, at least one of one or more critical components and one or more non- critical components based at least on the grouping of the one or more components.The present disclosure encompasses that the one or more critical components in the radio product are those whose failure significantly impacts functionality or safety of the radio product, such as the transmitters, the receivers, the antennas, and the power supplies the radio product. The one or more non-critical components have less severe consequences on the radio product if they fail, such as a secondary circuitry of the radio product.The present disclosure encompasses that the identifier unit

[0204] is further configured to identify one or more target components based on the reliability analysis of the radio product.The present disclosure encompasses that the one or more target components may include the one or more critical components that are prone to failure or crucial for maintaining integrity and functionality of the radio product.The analysis unit

[0202] is further configured to add the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection.The present disclosure encompasses that the one or more critical components are irreplaceable by one or more other components of the radio product.The present disclosure encompasses that the logical group refers to a group of components that are grouped together based on a functionality of the components or a relationship of the components within the radio product. For example, in the radio product, one or more components responsible for signal processing may be grouped together in a logical group.The generator unit

[0206] is connected at least to the identifier unit

[0204] and the generator unit

[0206] is configured to prepare a target reliability block diagram (RBD) based on the adding. Further, the analysis unit

[0202] is configured to determine a reliability value of the radio product for a target time period based on the target RBD. Furthermore, the analysis unit

[0202] is configured to perform the reliability analysis of the radio product based on the reliability value of the radio product.The present disclosure encompasses that RBD is a schematic representation of the reliability structure of the radio product which depicts a connection between the one or more components of the radio product and an overall reliability of the radio product.The present disclosure encompasses that the RBD is prepared by a RBD method which is a graphical technique used to model and analyze the reliability of a radio product by using visual representation of a structure of the radio product. The RBD includes one or more blocks which represent a component or a subsystem which include a failure rate of the component or the subsystem. Thereafter, the one or more blocks are arranged in a series configuration or a parallel configuration depending on the structure of the radio product. In the series configuration of the RBD the overall reliability of the radio product is calculated by multiplying a reliability of all the components together. Whereas in parallel configuration overall reliability of the radio product is calculated by considering a reliability of each component and applying a parallel reliability rule, which involves summing individual reliabilities and subtracting a product of their probabilities of failure, to attain a good reliability value of the radio product.The present disclosure encompasses that reliability values represent a probability of the radio product operating successfully without failure over the specified time period. Further the target time period refers to a specific duration for which the reliability of the radio product is evaluated. For instance, the target time period may be an expected operational lifespan of the radio product, or any other relevant time frame chosen for the reliability analysis of the radio product.The present disclosure encompasses that the analysis unit

[0202] being further configured to set, a temperature profile for the one or more components of the radio product. The temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition.For instance, in the radio product, a transmitter module is an important component of the radio product, then the analysis unit

[0202] may set a temperature profile for the transmitter module which indicates a change in failure rate of the transmitter module due to a temperature condition associated with the transmitter module based on the variations in temperature. The temperature profile signifies that the failure rate of the transmitter module increases substantially when the temperature exceeds a certain threshold, such as 50 degrees Celsius. Below the threshold, the failure rate might be relatively low, but as the temperature rises above the threshold, the failure rate may increase rapidly.The present disclosure encompasses that the identifier unit

[0204] is further configured to identify, one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components.The present disclosure encompasses that the successful identification of predetermined target failure rate occurs when the identifier unit

[0204] identifies the one or more components of the radio product that meet the predetermined target failure rate or in an event the one or more component’ s failure rates align with a desired level of reliability for the radio product.The present disclosure encompasses that the unsuccessful identification of the predetermined target failure rate occurs when the identifier unit

[0204] determines that one or more components do not meet the predetermined target failure rate, which in other word means that the one or more components’ failure rates are either higher or lower than the desired level of reliability specified for the radio product.The present disclosure encompasses that the analysis unit

[0202] is further configured to predict, using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components and determine, a worst-case failure rate for the radio product based on one of the predetermined target failure rate and the target failure rate.For instance, in the event of an unsuccessful identification of the predetermined target failure rate for one or more components, the analysis unit

[0202] utilizes one or more reliability prediction standard techniques to forecast the target failure rate. The one or more reliability prediction standard techniques may involve one or more statistical modeling techniques, one or morehistorical data analysis techniques, or other methods to estimate a probability of the one or more components failure.For instance, once the target failure rate is predicted, the analysis unit

[0202] evaluates the reliability of the radio product by determining the worst-case failure rate for the radio product. The determination of the worst-case failure rate is based on either the predetermined target failure rate or the predicted target failure rate, depending on which of the predetermined target failure rate or the predicted target failure rate is more critical for measuring the reliability of the radio product.The present disclosure encompasses that the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate. Further, the predetermined target failure rate may be determined based on a vendor input.The present disclosure encompasses that the worst-case failure rate for the radio product is determined based on one of an addition of the predetermined target failure rate for the one or more components and an addition of the target failure rate for the one or more components.The present disclosure encompasses that the MTBF is a measure of an expected time between failures for the component of the radio product or the radio product. The MTBF signifies an average lifespan of the component or the radio product before actual failure may occur. The predetermined MTBF rate specified by the vendor indicates the reliability expectation for the one or more components of the radio product in terms of time.The present disclosure encompasses that the predetermined failure rate refers to the rate at which the one or more components are expected to fail within a given period. The predetermined failure rate represents the probability of the or more components failing per unit of time. The predetermined failure rate specified by the vendor indicates the reliability expectation for the one or more components of the radio product in terms of failure probability.The present disclosure encompasses that the analysis unit

[0202] is further configured to set a duty cycle of the one or more components of the radio product.For instance, the analysis unit

[0202] is configured to establish the duty cycle for the one or more components of the radio product, wherein the duty cycle refers to a ratio of time that the one or more components is active (or operating) to a total time of its operation cycle. By setting the dutycycle, the analysis unit

[0202] determines a frequency and a time consumed associated with each component operation within a given time period.The system

[0200] calculates the reliability of the radio product which improve a production yield, reduces a turnaround time in on-field issue debugging by identifying one or more non-critical or lower reliable elements in the radio product, which enable timely debugging and reducing the Capital expenditures (CAPEX) of an organization.Referring to FIG. 3, an exemplary method flow diagram

[0300] for performing a reliability analysis of a radio product, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the method

[0300] is performed by the system

[0200] . Also, as shown in FIG. 3, the method

[0300] starts at step

[0302] .At step

[0304] , the method

[0300] comprises grouping, by an analysis unit

[0202] , one or more components of the radio product, based on a functionality of the one or more components.The present disclosure encompasses that the radio product refers to a device that utilize radio frequency technology for communication purposes such as radios, a handheld communication devices, a Wireless Fidelity (Wi-Fi) network device, a Bluetooth device, a broadcasting device like receivers, antennas and alike.The present disclosure encompasses that the one or more components include but not limited to transmitters, receivers, antennas, power supplies.The present disclosure encompasses that the method further comprises setting, by the analysis unit

[0202] , a duty cycle of the one or more components of the radio product.For instance, the analysis unit

[0202] establishes the duty cycle for the one or more components of the radio product, wherein the duty cycle refers to a ratio of time that the one or more components is active (or operating) to a total time of its operation cycle. By setting the duty cycle, the analysis unit

[0202] determines a frequency and a time consumed associated with each component operation within a given time period.At step

[0306] , the method

[0300] comprises identifying, by an identifier unit

[0204] , at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components.The present disclosure encompasses that the one or more critical components in the radio product are those whose failure significantly impacts functionality or safety of the radio product, such as the transmitters, the receivers, the antennas, and the power supplies the radio product. The one or more non-critical components have less severe consequences on the radio product if they fail, like a secondary circuitry of the radio product.The present disclosure encompasses that the one or more critical components are irreplaceable by one or more other components of the radio product.At step

[0308] , the method

[0300] comprises adding, by the analysis unit

[0202] the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection.The present disclosure encompasses that the one or more critical components are irreplaceable by one or more other components of the radio product.The present disclosure encompasses that the logical group refers to a group of components that are grouped together based on a functionality of the components or a relationship of the components within the radio product. For example, in the radio product, one or more components responsible for signal processing may be grouped together in a logical group.At step

[0310] , the method

[0300] comprises preparing, by a generator unit

[0206] , a target reliability block diagram (RBD) based on the adding.The present disclosure encompasses that RBD is a schematic representation of the reliability structure of the radio product which depicts a connection between the one or more components of the radio product and an overall reliability of the radio product.The present disclosure encompasses that the RBD is prepared by a RBD method which is a graphical technique used to model and analyze the reliability of a radio product by using visual representation of a structure of the radio product. The RBD includes one or more blocks whichrepresent a component or a subsystem which include a failure rate of the component or the subsystem. Thereafter the one or more blocks are arranged in a series configuration or a parallel configuration depending on the structure of the radio product. In the series configuration of the RBD the overall reliability of the radio product is calculated by multiplying a reliability of all the components together. Whereas in parallel configuration overall reliability of the radio product is calculated by considering a reliability of each component and applying a parallel reliability rule, which involves summing individual reliabilities and subtracting a product of their probabilities of failure, to attain a good reliability value of the radio product.The present disclosure encompasses that the one or more target components may include the one or more critical components that are prone to failure or crucial for maintain integrity and functionality of the radio product, in other words, one or more target components are those components that are contributing to a high failure rate of the radio product.At step

[0312] , the method

[0300] comprises determining, by the analysis unit

[0202] , a reliability value of the radio product for a target time period based on the target RBD.The present disclosure encompasses that reliability values represent a probability of the radio product operating successfully without failure over the specified time period. Further the target time period refers to a specific duration for which the reliability of the radio product is evaluated. For instance, the target time period may be an expected operational lifespan of the radio product, or any other relevant time frame chosen for the reliability analysis of the radio product.At step

[0314] , the method

[0300] comprises performing, by the analysis unit

[0202] , the reliability analysis of the radio product based on the reliability value of the radio product.The present disclosure encompasses that the method further comprising setting, by the analysis unit

[0302] , a temperature profile for the one or more components of the radio product. The temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition.The present disclosure encompasses that the method further comprising identifying, by the identifier unit

[0204] , one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components.The present disclosure encompasses that the successful identification of predetermined target failure rate occurs when the identifier unit

[0204] identifies the one or more components of the radio product that meet the predetermined target failure rate or in an event the one or more component’s failure rates align with a desired level of reliability for the radio product.The present disclosure encompasses that the unsuccessful identification of the predetermined target failure rate occurs when the identifier unit

[0204] determines that one or more components do not meet the predetermined target failure rate, which in other word means that the one or more components’ failure rates are either higher or lower than the desired level of reliability specified for the radio product.The present disclosure encompasses that the method further comprising predicting, by the analysis unit

[0202] using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components.The present disclosure encompasses that the method further comprising determining, by the analysis unit

[0202] , a worst-case failure rate for the radio product based on one of the predetermined target failure rate and the target failure rate.For instance, in the radio product, a transmitter module is an important component of the radio product, then the analysis unit

[0202] may set a temperature profile for the transmitter module which indicates a change in failure rate of the transmitter module due to a temperature condition associated with the transmitter module based on the variations in temperature. The temperature profile signifies that the failure rate of the transmitter module increases substantially when the temperature exceeds a certain threshold, such as 50 degrees Celsius. Below the threshold, the failure rate might be relatively low, but as the temperature rises above the threshold, the failure rate may increase rapidly.For instance, once the target failure rate is predicted, the analysis unit

[0202] evaluates the reliability of the radio product by determining the worst-case failure rate for the radio product. The determination of the worst-case failure rate is based on either the predetermined target failure rateor the predicted target failure rate, depending on which of the predetermined target failure rate or the predicted target failure rate is more critical for measuring the reliability of the radio product.The present disclosure encompasses that the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate. Further, the predetermined target failure rate may be determined based on a vendor input.The present disclosure encompasses that the worst-case failure rate for the radio product is determined based on one of an addition of the predetermined target failure rate for the one or more components, and an addition of the target failure rate for the one or more components.The present disclosure encompasses that the MTBF is a measure of an expected time between failures for the component of the radio product or the radio product. The MTBF signifies an average lifespan of the component or the radio product before actual failure may occur. The predetermined MTBF rate specified by the vendor indicates the reliability expectation for the one or more components of the radio product in terms of time.The present disclosure encompasses that the method further comprises identifying by the processing identifier unit

[0204] , one or more target components based on the reliability analysis of the radio product. The present disclosure encompasses that one or more target components are those components that are contributing to a high failure rate of the radio product.The method

[0300] calculates the reliability of the radio product which improve a production yield, also reduces a turnaround time in on-field issue debugging by identifying one or more non-critical or lower reliable elements in the radio product, which enable timely debugging and reducing the Capital expenditures (CAPEX) of an organization.Referring to FIG. 4, an exemplary method flow diagram

[0400] for prediction of a failure rate and reliability calculation of a radio product, in accordance with exemplary implementations of the present disclosure is shown. In an implementation the method

[0400] is performed by the system

[0200] . Further, in an implementation, the system

[0200] may be present in a server device to implement the features of the present disclosure.Also, as shown in FIG. 4, Step S 1 involves defining a temperature profile for a failure rate of the radio product. Each radio product function across various environmental conditions, with operation occurring in one or more fixed conditions.In step S2, a MTBF (Mean Time Between Failures) provided by the vendor is recorded. Each component go through testing and validation by a manufacturing company i.e. manufacturers. The manufacturers conduct a reliability analysis and calculate one or more MTBF values and failure rates.Further, Step S3 involves utilization of one or more standard prediction methods to predict the failure rate of one or more components. If the manufacturer lacks MTBF or failure rate data for a component, these values may be computed using one or more standard reliability prediction methods. The failure rates for each component are calculated by selecting one or more appropriate prediction standards.Further, Step S4 involves calculation of a predicted failure rate the of one or more components. The worst-case failure rate of the of one or more components or the radio product i.e., a system is determined by adding the failure rates of each component in the radio product, assuming all parts are in series.Further, at step S5, the failure rate of the component is tuned by setting a duty cycle. The step S5 is a crucial step as it helps in identifying critical components. Each component’s contribution is different depending on the use case, for example, a debugging interface of the radio product will not be functional for most period of time. In such cases, components’ contribution in the failure reduces significantly and this is handled by assigning functional duty cycle to the component.Thereafter, all possible scopes of tuning are terminated and the method

[0400] terminates after completion of step S5.At Step S6, the one or more components are being grouped for a Reliability Block Diagram (RBD). Further one or more opportunities to group components based on functionality are being identified and categorized accordingly.At Step S7, the one or more critical components are being identified. Further, the one or more critical components are being filtered out based on functionality that cannot be substituted by any other section of the system.At Step S8, the one or more critical components are being arranged in series within logical group. In the RBD, the one or more critical components are being arranged in series to aid in the identification of critical failures. The one or more components are being organized into different logical groups based on a functionality of the one or more components to recognise their reliability and potential impact on the system failure.At Step S9, the one or more components suitable for a parallel connections are being identified. The identification of the one or more components suitable for the parallel connections play a crucial role in reliability prediction. For instance, redundant functionalities are being kept in a parallel connection, while discrete components like capacitors placed in shunt for a voltage rail are being connected in the parallel connection.At Step S10, the identified one or more components are being integrated into the parallel connections. The one or more identified components from step S9 are being incorporated into parallel connections in the RBD, enhancing reliability within a given time period.At Step Si l, all components are being consolidated into a single RBD. The RBD include one or more logical blocks containing one or more components which are being merged into the single RBD.At Step S12, one or more reliability values are being calculated for the required time period: The following formulas are being utilized to compute system reliability:Series elements- R series system — RaX RbXParallel elements= R Parallel system= 1- ( 1-Ra) X ( 1- Rb) X where Raand Rb are the reliability values of individual elements.At Step S13, one or more critical sections contributing to high failure rates are being identified. After calculating one or more critical sub-sections, the one or more parts of the radio product with the lowest reliability are identified. For Example, if the one or more critical sub-sections made onthe one or more sections of design like one or more power supplies are grouped together and a reliability value of that sub-section is lowest, a manufacturer shall focus on a power supply section.At Step S14, one or more parallel sections are being added or parts with similar functionality and lower MTBF values are being replaced. The identified one or more critical sections in step 13 is being analysed for possible scope of improvement, which may also include replacement of the lower reliable part, or a parallel combination may add to the system. For example, in the power supply section identified in step S13, a manufacturer needs to find the component with higher reliability and replace the part. Further, improvements in the one or more reliability values are being checked, and step 13 and step 14 are being repeated to obtain the one or more reliability values.At step S15, the one or more critical sections are identified, and results are published. After the calculations, if the reliability values meet the organization’s requirements and industrial standards, the lowest reliable sections of the product are identified. This facilitates the detection of any observed failures.The method and system for performing a reliability analysis of a radio product may be utilized for calculating reliability of an outdoor small cell (ODSC). The architecture of ODSC is such that it comprises of two main functional blocks namely an Integrated Baseband and Transceiver Board (IBTB) and a radio frequency Front End board (RF FEB)

[0500] .As mentioned in Step S6 the components were grouped based on the functionality namely the IBTB and the RF FEB. Further in the IBTB and the RF FEB

[0600] there were possibility of identifying more groups based on functionality. For example, in the RF FEB

[0500] the groups were created based on the functional section as shown in FIG. 5. The RF FEB board comprises a power supply and digital circuit assembly

[0502] , a transmitter (TX) and Feedback (FB) chain

[0504] , and a receiver (RX) chain

[0506] .Further in the project components were tuned based on the operation time such as in a Time Division Duplex (TDD) system duty cycle was assigned on the TX and FB chain

[0504] and a plurality of RX chain components

[0506] , This doesn’t compromise on the effect of the components reliability and in return gives a better reliability value. The reliability at the end of 5 years and 10 years are mentioned in the Table 1.Table 1: Reliability Value of RF FEB on the basis of time period of operationTime peri § Reliabili5 years 95.77'10 years 91.73'The method and system for performing a reliability analysis of the radio product may be utilized for calculating reliability of an Integrated Baseband and Transceiver Board (IBTB) board

[0600] as well. The one or more components of the IBTB were divided based on their types. A tuning is done by assigning a duty cycle based on an operation period of a section of a circuit of the IBTB. Further, one or more duty cycles may assigned to one or more interfaces such as a Universal Serial Bus (USB), Flash memories. By using the connections shown in FIG. 6, the RBD was formed and the reliability for the IBTB are mentioned in Table 2.Table 2: Reliability Value of IBTB on the basis of time period of operation§ Time Period § Reliability Value 5 years 10 yearsA non-transitory computer readable storage medium storing instructions for performing a reliability analysis of a radio product, the instructions include executable code which, when executed by a one or more units of a system, causes: an analysis unit

[0202] of the system to group, one or more components of the radio product, based on a functionality of the one or more components; an identifier unit

[0204] of the system to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, the analysis unit

[0202] is to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit

[0206] of the system to prepare, a target reliability block diagram (RBD) based on the adding, the analysis unit

[0202] configured to determine, a reliability value ofthe radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product.The present disclosure further discloses a user equipment (UE) comprising a processor connected to at least a transceiver unit, wherein the UE is configured to transmit, by the transceiver unit, a reliability analysis request to a system, wherein the system further comprises: an analysis unit

[0202] , configured to group, one or more components of the radio product, based on a functionality of the one or more components; o an identifier unit

[0204] connected at least to the analysis unit

[0202] , the identifier unit

[0204] being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, wherein the analysis unit

[0202] is further configured to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit

[0206] connected at least to the identifier unit

[0204] , the generator unit

[0206] is configured to prepare, a target reliability block diagram (RBD) based on the adding, wherein the analysis unit

[0202] is further configured to: determine, a reliability value of the radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product, and receive, by the transceiver unit, a result of the reliability analysis of the radio product associated with the reliability analysis request.For instance, the method and system of the present disclosure may be used in a telecommunication company for ensuring the reliability of any radio product. Initially, an information about all the components of the radio product is entered into the analysis unit

[0202] . The analysis unit

[0202] automatically groups all the components based on their functionality within the radio product. Thereafter, the identifier unit

[0204] identifies one or more critical components and one or more non-critical components based on the grouping. The one or more critical components, essential for the radio product’s operation, are arranged in a series connection within a logical group, while non-critical components, which provide additional functionalities but are not essential, are arranged in a parallel connection. After identifying the one or more components, the generator unit

[0206] , generates a target reliability block diagram (RBD) based on the arrangement of components. The RBD serves as a visual representation of the structure of the radio product. Thereafter, the analysis unit

[0202] determine the reliability value of the radio product for a specified time period using the target RBD. The analysis unit

[0202] performs a reliability analysis based on the reliability value for assessing the product's overall reliability and identifying potential areas for improvement. Additionally, as part of the analysis, a temperature profile is set for the components, indicatingtheir failure rates under different temperature conditions. The identifier unit

[0204] then determines whether the target failure rate for the components is successfully identified. If not, the analysis unit

[0202] predicts the target failure rate using reliability prediction techniques. Furthermore, the duty cycle is set for the components, optimizing their performance and endurance within the radio product. Throughout the process, input from vendors is considered to determine predetermined target failure rates for the components. In cases where the predetermined rates are unavailable, the system calculates worst-case failure rates based on various factors, ensuring a thorough assessment of the reliability of the product. Finally, the identification unit

[0204] identifies target components based on the reliability analysis, that guides in prioritizing improvements and optimizations for future iterations of the radio product.As is evident from the above, the present disclosure provides a technically advanced solution for performing a reliability analysis of a radio product. The present solution helps an organization to deliver a highly reliable product, which ensures better performance of the radio products. Further, the present solution identifies one or more critical components of the radio products which reduces a failure turnaround time and helps in saving the Capital expenditures (CapEx). Further, the present solution optimizes the failure rate to obtain the best-case results by incorporating all the components in the systems. Further, the present solution identifies a scope of parallel connection in reliability block diagram (RBD) to achieve best reliability value of the product. In addition to this, the present solution enhances the assessment of product reliability for ensuring superior performance and longevity. Further, by accurately identifying critical components, the present solution streamlines failure management processes, reducing turnaround times and minimizing capital expenditures associated with repairs. Also, the present solution also identifies one or more opportunities for parallel connections in reliability block diagrams.While considerable emphasis has been placed herein on the disclosed implementations, it will be appreciated that many implementations can be made and that many changes can be made to the implementations without departing from the principles of the present disclosure. These and other changes in the implementations of the present disclosure will be apparent to those skilled in the art, whereby it is to be understood that the foregoing descriptive matter to be implemented is illustrative and non-limiting.

Claims

We Claim:

1. A method [300] for performing a reliability analysis of a radio product, the method comprising: grouping, by an analysis unit [202], one or more components of the radio product, based on a functionality of the one or more components; identifying, by an identifier unit [204], at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components; adding, by the analysis unit [202]: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; preparing, by a generator unit [206], a target reliability block diagram (RBD) based on the adding; determining, by the analysis unit [202], a reliability value of the radio product for a target time period based on the target RBD; and performing, by the analysis unit [202], the reliability analysis of the radio product based on the reliability value of the radio product.

2. The method [300] as claimed in claim 1, the method comprises: setting, by the analysis unit [202] , a temperature profile for the one or more components of the radio product, wherein the temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition, identifying, by the identifier unit [204], one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components, predicting, by the analysis unit [202] using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components, and determining, by the analysis unit [202], a worst-case failure rate for the radio product based on one of the predetermined target failure rate and the target failure rate.

3. The method [300] as claimed in claim 2, the method further comprises setting, by the analysis unit [202], a duty cycle of the one or more components of the radio product.

4. The method [300] as claimed in claim 2, wherein the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and the predetermined target failure rate is determined based on a vendor input.

5. The method [300] as claimed in claim 2, wherein the worst-case failure rate for the radio product is determined based on one of: an addition of the predetermined target failure rate for the one or more components, and an addition of the target failure rate for the one or more components.

6. The method [300] as claimed in claim 1, wherein the one or more critical components are irreplaceable by one or more other components of the radio product.

7. The method [300] as claimed in claim 1, the method further comprises identifying by the processing identifier unit [204], one or more target components based on the reliability analysis of the radio product.

8. A system [200] for performing a reliability analysis of a radio product, the system [100] comprising: an analysis unit [202], configured to group, one or more components of the radio product, based on a functionality of the one or more components; an identifier unit [204] connected at least to the analysis unit [202], the identifier unit [204] being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, wherein the analysis unit [202] is further configured to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit [206] connected at least to the identifier unit [204], the generator unit [206] is configured to prepare, a target reliability block diagram (RBD) based on the adding, wherein the analysis unit [202] is further configured to: determine, a reliability value of the radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product.

9. The system [200] as claimed in claim 8, wherein:the analysis unit [202] being further configured to set, a temperature profile for the one or more components of the radio product, wherein the temperature profile for the one or more components is set to indicate a failure rate of the one or more components due to a temperature condition; the identifier unit [204] being further configured to identify, one of a successful identification of a predetermined target failure rate for the one or more components and an unsuccessful identification of the predetermined target failure rate for the one or more components, the analysis unit [202] is further configured to: predict, using one or more reliability prediction standard techniques, a target failure rate for the one or more components in an event of the unsuccessful identification of the predetermined target failure rate for the one or more components, and determine, a worst-case failure rate for the radio product based on one of the predetermined target failure rate and the target failure rate.

10. The system [200] as claimed in claim 9, wherein the analysis unit [202] is further configured to set a duty cycle of the one or more components of the radio product.

11. The system [200] as claimed in claim 9, wherein the predetermined target failure rate is one of a predetermined mean time between failure (MTBF) rate and a predetermined failure rate, and the predetermined target failure rate is determined based on a vendor input.

12. The system [200] as claimed in claim 9, wherein the worst-case failure rate for the radio product is determined based on one of: an addition of the predetermined target failure rate for the one or more components, and an addition of the target failure rate for the one or more components.

13. The system [200] as claimed in claim 8, wherein the one or more critical components are irreplaceable by one or more other components of the radio product.

14. The system [200] as claimed in claim 8, wherein the identifier unit [204] is further configured to identify, one or more target components based on the reliability analysis of the radio product.

15. A user equipment (UE) comprising a processor connected to at least a transceiver unit, wherein the UE is configured to: transmit, by the transceiver unit, a reliability analysis request to a system, wherein the system further comprises:o an analysis unit [202], configured to group, one or more components of the radio product, based on a functionality of the one or more components; o an identifier unit [204] connected at least to the analysis unit [202], the identifier unit [204] being configured to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, o wherein the analysis unit [202] is further configured to add:• the one or more critical components in a series connection in a logical group, and• the one or more non-critical components in a parallel connection; and o a generator unit [206] connected at least to the identifier unit [204], the generator unit [206] is configured to prepare, a target reliability block diagram (RBD) based on the adding, o wherein the analysis unit [202] is further configured to:• determine, a reliability value of the radio product for a target time period based on the target RBD, and■ perform, the reliability analysis of the radio product based on the reliability value of the radio product, and receive, by the transceiver unit, a result of the reliability analysis of the radio product associated with the reliability analysis request.

16. A non-transitory computer readable storage medium storing instructions for performing a reliability analysis of a radio product, the instructions including executable code, the executable code when executed by one or more units of a system, may cause: an analysis unit [202] to group, one or more components of the radio product, based on a functionality of the one or more components; an identifier unit [204] to identify, at least one of one or more critical components and one or more non-critical components based at least on the grouping of the one or more components, the analysis unit [202] is to add: the one or more critical components in a series connection in a logical group, and the one or more non-critical components in a parallel connection; and a generator unit [206] to prepare, a target reliability block diagram (RBD) based on the adding, the analysis unit [202] configured todetermine, a reliability value of the radio product for a target time period based on the target RBD, and perform, the reliability analysis of the radio product based on the reliability value of the radio product.

Images