System performance evaluation method, device, equipment and readable storage medium

Abstract

The application discloses a system performance evaluation method, device and equipment and a readable storage medium. The method comprises the following steps: constructing channel modeling of a signal-energy-simultaneous-transmission system, wherein the signal-energy-simultaneous-transmission system is composed of a single-antenna source node, multiple energy-sampling relay nodes and a destination node; utilizing a cooperative SWIPT protocol, and performing system approximate analysis on the channel modeling to determine a system outage probability of the destination node in an outage system; performing diversity order calculation on the channel modeling to determine an asymptotic relative diversity order of the signal-energy-simultaneous-transmission system; and determining a system performance evaluation result according to the system outage probability and the asymptotic relative diversity order. In one aspect, the application uses the outage probability based on the cooperative system to analyze the throughput to evaluate the system performance. In another aspect, the asymptotic relative diversity order of the signal-energy-simultaneous-transmission system is determined, and the asymptotic relative diversity order is used to study the diversity gain to evaluate the system performance.

Description

Technical Field

[0001] This application relates to the field of power grid assessment, and more specifically, to methods, apparatus, devices, and readable storage media for system performance assessment. Background Technology

[0002] With the continuous expansion of the power grid, the scale of transmission line construction is becoming larger and the coverage area is becoming wider. Ensuring the stable and efficient operation of transmission lines has become one of the important tasks of the power industry. However, since most overhead transmission lines are located in mountainous areas, manual inspection is time-consuming and labor-intensive. Therefore, using inspection equipment to inspect power equipment can not only save a lot of manpower, material resources, and financial resources, but also promote the improvement of power companies' efficiency to a certain extent.

[0003] Therefore, cooperative communication technology plays a significant role in inspection. Due to the dense vegetation and complex terrain in mountainous areas, the deployment and maintenance costs of base stations are too high. Furthermore, as communication signal frequencies increase, signal attenuation also increases, limiting the coverage of base station networks. Therefore, it is necessary to deploy relays to forward information from the source to the inspection equipment, thereby expanding the coverage of the wireless network and maintaining its normal operation. Meanwhile, energy harvesting (EH), as a technology to extend the battery life of wireless equipment and improve network performance, can effectively solve the energy shortage problem of relays in energy-constrained wireless networks. Thus, cooperative wireless signal-energy simultaneous transmission (SWIPT) networks with EH relays have been widely used due to their high energy efficiency. However, research on wireless signal-energy simultaneous transmission systems under random space relay cooperation in Nakagami-m fading channels is currently lacking.

[0004] Based on the above, this application proposes a system performance evaluation scheme that can evaluate the performance of the signal-energy simultaneous transmission system to help improve the communication quality of the inspection equipment and enhance the system performance. Summary of the Invention

[0005] In view of this, this application provides a system performance evaluation method, apparatus, device, and readable storage medium, which on the one hand uses the interruption probability based on the cooperative system to analyze the throughput to evaluate the system performance, and on the other hand uses the asymptotic relative diversity order to study the diversity gain to evaluate the system performance.

[0006] A system performance evaluation method, comprising:

[0007] Channel modeling is constructed for a simultaneous information and energy transmission system, which consists of a single-antenna source node, multiple energy harvesting relays, and a destination node.

[0008] By utilizing the cooperative SWIPT protocol and performing a system approximate analysis on the channel model, the system outage probability of an outage occurring at the destination node is determined.

[0009] The asymptotic relative diversity order of the signal-energy simultaneous transmission system is determined by calculating the diversity order through the channel modeling.

[0010] The system performance evaluation result is determined based on the system interruption probability and the asymptotic relative diversity order.

[0011] Preferably, the step of utilizing the cooperative SWIPT protocol and performing a system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node includes:

[0012] Using the cooperative SWIPT protocol, a first interruption probability and a second interruption probability are determined respectively. The first interruption probability is the probability that the energy harvesting relay cannot detect the information transmitted by the single antenna source node, resulting in system interruption. The second interruption probability is the probability that the total received SNR of the destination node cannot support the target rate, resulting in system interruption.

[0013] A system approximation analysis is performed on the channel model to determine the first approximation probability and the second approximation probability corresponding to the first interruption probability and the second interruption probability, respectively.

[0014] The system outage probability of an interruption occurring at the target node is determined based on the first approximate probability and the second approximate probability.

[0015] Preferably, the asymptotic relative diversity order of the simultaneous communication system is determined by calculating the diversity order of the channel model, including:

[0016] By performing diversity order calculations on the channel model, the diversity order of the finite SNR and the diversity order of the reference link are determined.

[0017] When the system signal-to-noise ratio approaches infinity, the ratio between the diversity order of the finite SNR and the diversity order of the reference link is determined as the asymptotic relative diversity order of the signal-to-noise transmission system.

[0018] Preferably, the system performance evaluation result is determined based on the system interruption probability and the asymptotic relative diversity order, including:

[0019] The system throughput is determined based on the system outage probability analysis.

[0020] The system diversity gain is determined based on the asymptotic relative diversity order analysis.

[0021] The system performance evaluation results are determined based on the system throughput and the system diversity gain.

[0022] Preferably, the formula for calculating the system interruption probability at the target node based on the first approximate probability and the second approximate probability is as follows:

[0023]

[0024] in, Let OP1(τ) be the system interrupt probability at the destination node. S ,τ R ) is the first approximate probability, OP2(τ) S ,τ R ) is the second approximate probability. For E R <B R Under what circumstances, the transmit power at the energy harvesting relay For E R >B R Under the condition of the transmission power at the energy harvesting relay, B R E represents the energy storage size of the energy harvesting relay. R This refers to the energy collected by the energy collection relay during the energy collection process.

[0025] Preferably, the formula for calculating system throughput based on the system interruption probability analysis is as follows:

[0026]

[0027] in, For system throughput, R represents the system interrupt probability. SD This is the minimum data rate supported by the system.

[0028] Preferably, the expression for the diversity order of the finite SNR is:

[0029]

[0030] Where DO is the diversity order of the finite SNR, and χ is the signal-to-noise ratio of the system. This represents the system interruption probability.

[0031] A system performance evaluation device, comprising:

[0032] The channel modeling unit is used to construct the channel model of the simultaneous information and energy transmission system, which consists of a single antenna source node, multiple energy harvesting relays and a destination node.

[0033] An approximate analysis unit is used to perform a system approximate analysis on the channel model using the cooperative SWIPT protocol, and to determine the system outage probability of an outage occurring at the destination node.

[0034] The diversity order unit is used to calculate the diversity order by modeling the channel to determine the asymptotic relative diversity order of the simultaneous communication system.

[0035] The performance evaluation unit is used to determine the system performance evaluation result based on the system interruption probability and the asymptotic relative diversity order.

[0036] A system performance evaluation device, comprising a memory and a processor;

[0037] The memory is used to store programs;

[0038] The processor is configured to execute the program to implement the various steps of the system performance evaluation method as described in any of the preceding claims.

[0039] A readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the system performance evaluation method as described in any of the preceding claims.

[0040] As can be seen from the above technical solutions, the system performance evaluation method, apparatus, device, and readable storage medium provided in this application first constructs a channel model of the simultaneous communication system, then uses the cooperative SWIPT protocol and performs a system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node, then calculates the diversity order of the channel model to determine the asymptotic relative diversity order of the simultaneous communication system, and finally determines the system performance evaluation result based on the system outage probability and the asymptotic relative diversity order.

[0041] This application constructs a signal-energy simultaneous transmission system consisting of a single antenna source node, multiple energy harvesting relays, and a destination node, namely the inspection equipment. Channel modeling is performed, and the cooperative SWIPT protocol is used to deduce the interruption scenarios at the inspection equipment, obtaining the system interruption probability. The interruption probability based on the cooperative system is used to analyze throughput to evaluate system performance. Furthermore, this application performs system approximate analysis on the channel modeling, calculates the diversity order of the channel modeling, determines the asymptotic relative diversity order of the signal-energy simultaneous transmission system, and uses the asymptotic relative diversity order to study diversity gain to evaluate system performance. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 This is a flowchart of a system performance evaluation method disclosed in an embodiment of this application;

[0044] Figure 2 This is a schematic diagram of a simultaneous interpretation system disclosed in an embodiment of this application;

[0045] Figure 3 This is a schematic diagram of three time slots for a TS strategy disclosed in an embodiment of this application;

[0046] Figure 4 This is a structural block diagram of a system performance evaluation device disclosed in this application;

[0047] Figure 5 This is a hardware structure block diagram of a system performance evaluation device disclosed in this application. Detailed Implementation

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0049] Before introducing the system performance evaluation method of this application, the application environment of the method of this application will be introduced first.

[0050] This application provides a system performance evaluation method, which can be applied to information and energy transmission systems and various mountain patrol equipment. The executing entity can be a computer terminal or the processor or server of a smart terminal.

[0051] Figure 1 This is a flowchart of a system performance evaluation method disclosed in an embodiment of this application, such as... Figure 1 As shown, the method may include:

[0052] Step S1: Construct channel modeling for the simultaneous information transmission and communication system.

[0053] Specifically, the signal-energy simultaneous transmission system consists of a single-antenna source node S and multiple energy harvesting relays R. i It consists of (i = 1, 2, ..., M) and a destination node D. For example... Figure 2 As shown, considering the lack of signal coverage in many mountainous areas, the signal-energy simultaneous transmission system extends the network at the source (base station) to the mountainous area by deploying multiple randomly deployed energy harvesting relays with identical batteries. The destination node is the equipment carried during mountain patrols. Assume that the number of receiving antennas used at the energy harvesting relays and the destination node D are N respectively. R (NR ≥1) and N D (N D ≥1). Maximum ratio combination (MRC) is used at the energy harvesting relay and destination node D. The single-antenna source node S is located at a radius of R. D At the origin of the disk, the relays are located close to the single-antenna source node S, which can be modeled as a homogeneous Poisson point process (PPP) with intensity ρ, and the number of relays follows a Poisson distribution. If the distance between the destination node D and each relay is d... D It is much larger than the radius of the disk. This represents the distance between a single-antenna source node S and the relay, where d R This is expressed as the distance between the single-antenna source node S and the optimal relay.

[0054] Assuming the inspection equipment D is equipped with a wired power supply and can charge the relay via radio frequency signals, when using the TS strategy on the DF relay, the entire operation can be divided into three time slots. For example... Figure 3 As shown, during the first time slot (1-α)T1 (where 0<α<1, α is the proportion of T1), the relay will SR i The channel state information (CSI) of the channel is fed back to S to select the optimal relay R. S then broadcasts the selection result to the relay. Afterwards, S transmits the information to the optimal relay R. In the second time slot αT1, D transmits the signal to the optimal relay R to obtain energy, with an energy storage size of B. R Meanwhile, other relays can also draw power from D, and then enter sleep mode to conserve power. Finally, the remaining time T2 = T - T1 is allocated to D to receive information forwarded by R, where T is the total communication time. Δ = T1 / T2, 0h K ，h K , (K∈{DR,SR,RD}) represent the average channel power gain and channel vector of the DR, SR and RD links, respectively.

[0055] Under the Optimal Source-Relay Link (OSRL) scheme, the relay with the highest instantaneous signal-to-noise ratio (SNR) is selected from the available source-relay links. in From S to R i The SNR of the link. Assume all channels produce path loss with an exponential value of β and additive white Gaussian noise n with variance N0 at R and D. R n D The received signal at the first time slot R is:

[0056]

[0057] Where, x S Indicates the source signal, P S The transmit power at point S is d.R This represents the distance between S and the optimal relay R.

[0058] In the second time slot, the energy collected by the optimal relay station can be written as:

[0059]

[0060] Where η is the conversion efficiency of the relay energy harvester, P D That is the power emitted at point D.

[0061] During T2, the optimal relay station will transmit at power P. R Send a message to D. There are two possible transmission power values ​​at R.

[0062]

[0063]

[0064]

[0065] Among them, P B P is the maximum available transmit power at point R, determined by its capacity. E This indicates the transmit power using all the energy collected during the first time slot.

[0066] Therefore, for information x from R to D R For decoding and transmission, the received signal at point D can be written as:

[0067]

[0068] Received signal-to-noise ratio at R and D:

[0069] and

[0070] Based on the received signal-to-noise ratio, the channel from S to R i The data rates supported by R to D are respectively determined by and Given, among which For R i The received signal-to-noise ratio at the location. All channels experience independent Nakagami-m fading, and the MRC combined channel power gain g... K =||h K || 2 ,(K∈{DR, SR, RD},g K The probability density function (PDF) and distribution function (CDF) of (≥0) can be written as:

[0071]

[0072]

[0073] Where, h K Yes ||h K || 2 The average value, m K N represents the Nakagami fading parameters on K links. l Γ(·) is the number of antennas at node l (l∈{R,D}), and Γ(·) is the gamma function.

[0074] Based on the above formula, E R <B R and E R >B R In this case, and The probability can be obtained as follows:

[0075]

[0076]

[0077] in,

[0078] Step S2: Utilize the cooperative SWIPT protocol and perform a system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node.

[0079] Specifically, determining the probability of a system outage occurring at the destination node may include the following steps:

[0080] ① Using the cooperative SWIPT protocol, the first interruption probability and the second interruption probability are determined respectively. The first interruption probability is the probability that the energy harvesting relay cannot detect the information transmitted by the single antenna source node, resulting in system interruption. The second interruption probability is the probability that the total received SNR of the destination node cannot support the target rate, resulting in system interruption.

[0081] ② Perform a system approximation analysis on the channel modeling to determine the first approximation probability and the second approximation probability corresponding to the first interruption probability and the second interruption probability, respectively;

[0082] ③ Determine the system interruption probability at the target node based on the first approximate probability and the second approximate probability.

[0083] The formula for calculating the system outage probability at the destination node based on the first approximate probability and the second approximate probability is as follows:

[0084]

[0085] in, Let OP1(τ) be the system interrupt probability at the destination node. S ,τ R ) is the first approximate probability, OP2(τ) S ,τ R ) is the second approximate probability. For E R <B R Under what circumstances, the transmit power at the energy harvesting relay For E R >B R Under the condition of the transmission power at the energy harvesting relay, B R E represents the energy storage size of the energy harvesting relay. R This refers to the energy collected by the energy collection relay during the energy collection process.

[0086] In this application, to ensure that R can successfully decode the information sent by S, a rate R is specified. S =R Si Using the cooperative SWIPT protocol, the interruption experienced by D can occur in two scenarios. Scenario one is that R cannot detect the information transmitted by S. Scenario two is that R can detect x. S However, the total received SNR at point D cannot support the target rate.

[0087] Assuming the relay decodes and forwards information using energy received from S, the interruption probability at D can be written as:

[0088] OP u (τ S ,τ R )=Pr{γ SR <τ S}+Pr{γ RDu <τ R ,γ SR >τ S}

[0089] =Pr{γ SR <τ S}+Pr{γ RDu <τ R}Pr{γ SR >τ S}

[0090] The location of the relay is modeled as having a radius of R D A homogeneous Poisson point process of intensity ρ in a disk yields a result satisfying x≥0. γ(·,·) is a low-order incomplete gamma function.

[0091] SR link interruption probability:

[0092]

[0093] Assume R can detect x S And if the energy collected does not exceed the battery capacity, then γ RD1 The CDF is:

[0094]

[0095] in, b1 = N R m DR b2 = N D m RD , It is a modified Bessel function of order 2a2. If it is a Meijer G function, then

[0096] Assuming the energy received by the relay does not exceed the battery capacity, then

[0097]

[0098] Assuming the energy storage of the optimal relay is filled with energy harvested from the destination point, γ RD2 CDF:

[0099]

[0100] Based on this, we can obtain:

[0101]

[0102] Assume R has a fixed energy storage capacity:

[0103]

[0104] Assuming the relay is randomly located within a circle on the ground and harvests energy from a destination point with limited energy storage, the probability of OSRL process interruption in a hypothetical ideal CSI scenario is:

[0105]

[0106] The process of performing a system approximate analysis on the channel modeling is introduced, when h SR →∞ (i.e.) The exponential function using Taylor series expansion:

[0107]

[0108] Keep F SR The first two terms of (x), ignoring higher-order terms, can be approximated as:

[0109]

[0110] Based on this, an approximate expression can be obtained:

[0111]

[0112] OP1 SA (τ S ,τ R ) and OP2 SA (τ S ,τ R Similarly, the approximate expression for ) can be obtained.

[0113] Step S3: By performing diversity order calculation on the channel model, determine the asymptotic relative diversity order of the simultaneous communication system.

[0114] Specifically, the process of determining the asymptotic relative diversity order of the simultaneous interpretation system may include:

[0115] ① By performing diversity order calculation on the channel model, the diversity order of the finite SNR and the diversity order of the reference link are determined;

[0116] The expression for the diversity order of the finite SNR is:

[0117]

[0118] Where DO is the diversity order of the finite SNR, and χ is the signal-to-noise ratio of the system. This represents the system interruption probability.

[0119] ② Under the condition that the system signal-to-noise ratio approaches infinity, the ratio between the diversity order of the finite SNR and the diversity order of the reference link is determined as the asymptotic relative diversity order of the signal-to-noise transmission system.

[0120] The diversity order under signal-to-noise ratio is typically the negative slope of the ratio of the logarithm of the interruption probability to the logarithm of the signal-to-noise ratio.

[0121]

[0122] Where, χ=P S / N0 represents the system's signal-to-noise ratio.

[0123] Considering model complexity, the diversity order of the baseline link is defined as d. out，BM The asymptotic relative diversity order (ARDO) is expressed as:

[0124]

[0125] Wherein, the diversity order at SNR is relative to the baseline scheme, i.e., dout，BM Normalized.

[0126] Assuming in S and R i The transmission over the channel between them is used as a reference. The probability of interruption for the reference scheme is:

[0127]

[0128] based on and χ=P S / N0 means:

[0129]

[0130] in,

[0131]

[0132] in,

[0133] Therefore, we can conclude that:

[0134]

[0135] Step S4: Determine the system performance evaluation result based on the system interruption probability and the asymptotic relative diversity order.

[0136] Specifically, determining the system performance evaluation results includes the following steps:

[0137] ① Determine the system throughput based on the system outage probability analysis;

[0138] The formula for calculating system throughput, based on the system outage probability analysis, is as follows:

[0139]

[0140] in, For system throughput, R represents the system interrupt probability. SD This is the minimum data rate supported by the system.

[0141] ② Determine the system diversity gain based on the asymptotic relative diversity order analysis;

[0142] ③ Based on the system throughput and the system diversity gain, determine the system performance evaluation results.

[0143] As can be seen from the above technical solutions, the system performance evaluation method, apparatus, device, and readable storage medium provided in this application first constructs a channel model of the simultaneous communication system, then uses the cooperative SWIPT protocol and performs a system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node, then calculates the diversity order of the channel model to determine the asymptotic relative diversity order of the simultaneous communication system, and finally determines the system performance evaluation result based on the system outage probability and the asymptotic relative diversity order.

[0144] This application constructs a signal-energy simultaneous transmission system consisting of a single antenna source node, multiple energy harvesting relays, and a destination node, namely the inspection equipment. Channel modeling is performed, and the cooperative SWIPT protocol is used to deduce the interruption scenarios at the inspection equipment, obtaining the system interruption probability. The interruption probability based on the cooperative system is used to analyze throughput to evaluate system performance. Furthermore, this application performs system approximate analysis on the channel modeling, calculates the diversity order of the channel modeling, determines the asymptotic relative diversity order of the signal-energy simultaneous transmission system, and uses the asymptotic relative diversity order to study diversity gain to evaluate system performance.

[0145] The system performance evaluation apparatus provided in the embodiments of this application is described below. The system performance evaluation apparatus described below can be referred to in correspondence with the system performance evaluation method described above.

[0146] See Figure 4 , Figure 4 This is a structural block diagram of a system performance evaluation device disclosed in an embodiment of this application.

[0147] like Figure 4 As shown, the system performance evaluation device may include:

[0148] Channel modeling unit 110 is used to construct channel modeling for the simultaneous information and energy transmission system, which consists of a single-antenna source node, multiple energy harvesting relays and a destination node.

[0149] The approximate analysis unit 120 is used to perform system approximate analysis on the channel modeling using the cooperative SWIPT protocol to determine the system outage probability of an outage occurring at the destination node.

[0150] Diversity order unit 130 is used to calculate the diversity order by modeling the channel to determine the asymptotic relative diversity order of the simultaneous communication system.

[0151] The performance evaluation unit 140 is used to determine the system performance evaluation result based on the system interruption probability and the asymptotic relative diversity order.

[0152] As can be seen from the above technical solutions, the system performance evaluation method, apparatus, device, and readable storage medium provided in this application first constructs a channel model of the simultaneous communication system, then uses the cooperative SWIPT protocol and performs a system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node, then calculates the diversity order of the channel model to determine the asymptotic relative diversity order of the simultaneous communication system, and finally determines the system performance evaluation result based on the system outage probability and the asymptotic relative diversity order.

[0153] This application constructs a signal-energy simultaneous transmission system consisting of a single antenna source node, multiple energy harvesting relays, and a destination node, namely the inspection equipment. Channel modeling is performed, and the cooperative SWIPT protocol is used to deduce the interruption scenarios at the inspection equipment, obtaining the system interruption probability. The interruption probability based on the cooperative system is used to analyze throughput to evaluate system performance. Furthermore, this application performs system approximate analysis on the channel modeling, calculates the diversity order of the channel modeling, determines the asymptotic relative diversity order of the signal-energy simultaneous transmission system, and uses the asymptotic relative diversity order to study diversity gain to evaluate system performance.

[0154] Optionally, the approximate analysis unit performs a system approximate analysis of the channel model using the cooperative SWIPT protocol to determine the probability of a system outage occurring at the destination node. This process may specifically include:

[0155] Using the cooperative SWIPT protocol, a first interruption probability and a second interruption probability are determined respectively. The first interruption probability is the probability that the energy harvesting relay cannot detect the information transmitted by the single antenna source node, resulting in system interruption. The second interruption probability is the probability that the total received SNR of the destination node cannot support the target rate, resulting in system interruption.

[0156] A system approximation analysis is performed on the channel model to determine the first approximation probability and the second approximation probability corresponding to the first interruption probability and the second interruption probability, respectively.

[0157] The system outage probability of an interruption occurring at the target node is determined based on the first approximate probability and the second approximate probability.

[0158] Optionally, the diversity order unit performs a process of calculating the diversity order by modeling the channel to determine the asymptotic relative diversity order of the simultaneous communication system, which may specifically include:

[0159] By performing diversity order calculations on the channel model, the diversity order of the finite SNR and the diversity order of the reference link are determined.

[0160] When the system signal-to-noise ratio approaches infinity, the ratio between the diversity order of the finite SNR and the diversity order of the reference link is determined as the asymptotic relative diversity order of the signal-to-noise transmission system.

[0161] Optionally, the performance evaluation unit performs a process of determining the system performance evaluation result based on the system outage probability and the asymptotic relative diversity order, which may specifically include:

[0162] The system throughput is determined based on the system outage probability analysis.

[0163] The system diversity gain is determined based on the asymptotic relative diversity order analysis.

[0164] The system performance evaluation results are determined based on the system throughput and the system diversity gain.

[0165] Optionally, the approximation analysis unit determines the system interruption probability at the target node based on the first approximation probability and the second approximation probability using the following formula:

[0166]

[0167] in, Let OP1(τ) be the system interrupt probability at the destination node. S ,τ R ) is the first approximate probability, OP2(τ) S ,τ R ) is the second approximate probability. For E R <B R Under what circumstances, the transmit power at the energy harvesting relay For E R >B R Under the condition of the transmission power at the energy harvesting relay, B R E represents the energy storage size of the energy harvesting relay. R This refers to the energy collected by the energy collection relay during the energy collection process.

[0168] Optionally, the performance evaluation unit determines the system throughput calculation formula based on the system interruption probability analysis as follows:

[0169]

[0170] in, For system throughput, R represents the system interrupt probability. SD This is the minimum data rate supported by the system.

[0171] Optionally, the expression for the diversity order of the finite SNR is:

[0172]

[0173] Where DO is the diversity order of the finite SNR, and χ is the signal-to-noise ratio of the system. This represents the system interruption probability.

[0174] The system performance evaluation device provided in this application embodiment can be applied to system performance evaluation equipment. Figure 5 The hardware structure block diagram of the system performance evaluation device is shown below. Figure 5 The hardware structure of the system performance evaluation device may include: at least one processor 1, at least one communication interface 2, at least one memory 3, and at least one communication bus 4;

[0175] In this embodiment of the application, the number of processor 1, communication interface 2, memory 3, and communication bus 4 is at least one, and processor 1, communication interface 2, and memory 3 communicate with each other through communication bus 4;

[0176] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0177] Memory 3 may include high-speed RAM, and may also include non-volatile memory, such as at least one disk storage device;

[0178] The memory stores a program, which the processor can call. The program is used for:

[0179] Channel modeling is constructed for a simultaneous information and energy transmission system, which consists of a single-antenna source node, multiple energy harvesting relays, and a destination node.

[0180] By utilizing the cooperative SWIPT protocol and performing a system approximate analysis on the channel model, the system outage probability of an outage occurring at the destination node is determined.

[0181] The asymptotic relative diversity order of the signal-energy simultaneous transmission system is determined by calculating the diversity order through the channel modeling.

[0182] The system performance evaluation result is determined based on the system interruption probability and the asymptotic relative diversity order.

[0183] Optionally, the refined and extended functions of the program can be referred to the above description.

[0184] This application embodiment also provides a readable storage medium that can store a program suitable for execution by a processor, the program being used for:

[0185] Channel modeling is constructed for a simultaneous information and energy transmission system, which consists of a single-antenna source node, multiple energy harvesting relays, and a destination node.

[0186] By utilizing the cooperative SWIPT protocol and performing a system approximate analysis on the channel model, the system outage probability of an outage occurring at the destination node is determined.

[0187] The asymptotic relative diversity order of the signal-energy simultaneous transmission system is determined by calculating the diversity order through the channel modeling.

[0188] The system performance evaluation result is determined based on the system interruption probability and the asymptotic relative diversity order.

[0189] Optionally, the refined and extended functions of the program can be referred to the above description.

[0190] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0191] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0192] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system performance evaluation method, characterized in that, include: Channel modeling is constructed for a simultaneous information and energy transmission system, which consists of a single-antenna source node, multiple energy harvesting relays, and a destination node. By utilizing the cooperative SWIPT protocol and performing a system approximate analysis on the channel model, the system outage probability of an outage occurring at the destination node is determined. The asymptotic relative diversity order of the simultaneous communication system is determined by calculating the diversity order through channel modeling, including: By performing diversity order calculations on the channel model, the diversity order of the finite SNR and the diversity order of the reference link are determined. When the system signal-to-noise ratio approaches infinity, the ratio between the diversity order of the finite SNR and the diversity order of the reference link is determined as the asymptotic relative diversity order of the signal-to-noise transmission system. The system performance evaluation result is determined based on the system interruption probability and the asymptotic relative diversity order.

2. The method according to claim 1, characterized in that, The method of utilizing the cooperative SWIPT protocol and performing system approximate analysis on the channel model to determine the system outage probability of an outage occurring at the destination node includes: Using the cooperative SWIPT protocol, a first interruption probability and a second interruption probability are determined respectively. The first interruption probability is the probability that the energy harvesting relay cannot detect the information transmitted by the single antenna source node, resulting in system interruption. The second interruption probability is the probability that the total received SNR of the destination node cannot support the target rate, resulting in system interruption. A system approximation analysis is performed on the channel model to determine the first approximation probability and the second approximation probability corresponding to the first interruption probability and the second interruption probability, respectively. The system outage probability of an interruption occurring at the target node is determined based on the first approximate probability and the second approximate probability.

3. The method according to claim 1, characterized in that, Based on the system outage probability and the asymptotic relative diversity order, the system performance evaluation results are determined, including: The system throughput is determined based on the system outage probability analysis. The system diversity gain is determined based on the asymptotic relative diversity order analysis. The system performance evaluation results are determined based on the system throughput and the system diversity gain.

4. The method according to claim 2, characterized in that, The formula for calculating the system outage probability at the destination node based on the first approximate probability and the second approximate probability is as follows: in, The system outage probability of an outage occurring at the destination node. This is the first approximate probability. This is the second approximate probability. For E R <B R Under what circumstances, the transmit power at the energy harvesting relay For E R >B R Under the condition of the transmission power at the energy harvesting relay, B R E represents the energy storage size of the energy harvesting relay. R This refers to the energy collected by the energy collection relay during the energy collection process.

5. The method according to claim 3, characterized in that, The formula for calculating system throughput, based on the system outage probability analysis, is as follows: in, For system throughput, R represents the system interrupt probability. SD This is the minimum data rate supported by the system.

6. The method according to claim 1, characterized in that, The expression for the diversity order of the finite SNR is: Where DO is the diversity order of the finite SNR, and χ is the signal-to-noise ratio of the system. This represents the system interruption probability.

7. A system performance evaluation device, characterized in that, include: The channel modeling unit is used to construct the channel model of the simultaneous information and energy transmission system, which consists of a single antenna source node, multiple energy harvesting relays and a destination node. An approximate analysis unit is used to perform a system approximate analysis on the channel model using the cooperative SWIPT protocol, and to determine the system outage probability of an outage occurring at the destination node. The diversity order unit is used to calculate the diversity order of the signal-to-energy simultaneous interpretation system by modeling the channel, and to determine the asymptotic relative diversity order of the system. This includes: By performing diversity order calculations on the channel model, the diversity order of the finite SNR and the diversity order of the reference link are determined. When the system signal-to-noise ratio approaches infinity, the ratio between the diversity order of the finite SNR and the diversity order of the reference link is determined as the asymptotic relative diversity order of the signal-to-noise transmission system. The performance evaluation unit is used to determine the system performance evaluation result based on the system interruption probability and the asymptotic relative diversity order.

8. A system performance evaluation device, characterized in that, Including memory and processor; The memory is used to store programs; The processor is used to execute the program to implement each step of the system performance evaluation method as described in any one of claims 1-6.

9. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the system performance evaluation method as described in any one of claims 1-6.

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