Method, device and storage medium for minimizing decoding error probability

Abstract

The present application discloses a method, apparatus, and storage medium for minimizing decoding error probability. The method comprises: determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device; determining a decoding error probability minimization problem based on the first coding stream, the second coding stream, and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem, and a rate allocation factor optimization problem; solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; solving the transmission power optimization problem based on the determined problem; and minimizing the decoding error probability based on the optimal solution of the transmission power optimization problem, the optimal solution of the bandwidth allocation optimization problem, and the optimal solution of the rate allocation factor optimization problem.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a method, device, and storage medium for minimizing decoding error probability. Background Art

[0002] With the growth of wireless applications and the increase in data traffic, wireless communications are facing the bottleneck of spectrum scarcity, which has prompted a shift from traditional communication to semantic communication. Semantic communication focuses on transmitting the meaning of the source information and shows great potential in reducing network traffic and alleviating spectrum shortages.

[0003] The basic idea behind rate splitting is to split the transmitted message into two parts at the transmitter: a dedicated part and a public part. The public part can be combined into a single whole and transmitted within the same time-frequency resources as the dedicated part. The receiver not only needs to decode the two parts (the public and the private information) but also decode some interference. Furthermore, as the number of terminal devices (i.e., transmitters) increases, interference between different terminal devices intensifies. Therefore, minimizing the overall probability of decoding errors becomes crucial.

[0004] With respect to the technical problem existing in the above-mentioned prior art of how to minimize the probability of decoding errors during the communication process, no effective solution has been proposed so far. Summary of the Invention

[0005] The embodiments of the present disclosure provide a method, an apparatus, and a storage medium for minimizing the probability of decoding errors, so as to at least solve the technical problem existing in the prior art of how to minimize the probability of decoding errors in a communication process.

[0006] According to one aspect of an embodiment of the present disclosure, a method for minimizing the probability of decoding errors is provided, including: determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device; determining a decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem and a rate allocation factor optimization problem; solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; solving the transmission power optimization problem based on the determined problem; and minimizing the decoding error probability based on the optimal solution of the transmission power optimization problem, the optimal solution of the bandwidth allocation optimization problem and the optimal solution of the rate allocation factor optimization problem.

[0007] According to another aspect of an embodiment of the present disclosure, a storage medium is further provided, the storage medium including a stored program, wherein when the program is run, a processor executes any one of the above methods.

[0008] According to another aspect of an embodiment of the present disclosure, a device for minimizing the probability of decoding errors is also provided, including: a coding stream determination module, used to determine a first coding stream and a second coding stream corresponding to a first terminal device, and determine a semantic coding stream corresponding to a second terminal device; a minimization problem determination module, used to determine a decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem and a rate allocation factor optimization problem; a first solution module, used to solve the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; an equivalent problem determination module, used to simplify the decoding error probability minimization problem and introduce auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; and a second solution module, used to solve the transmission power optimization problem based on the determined problem.

[0009] According to another aspect of an embodiment of the present disclosure, a device for minimizing the probability of decoding errors is also provided, including: a processor; and a memory connected to the processor, for providing the processor with instructions for processing the following processing steps: determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device; determining a decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem and a rate allocation factor optimization problem; solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; solving the transmission power optimization problem based on the determined problem; and minimizing the decoding error probability based on the optimal solution of the transmission power optimization problem, the optimal solution of the bandwidth allocation optimization problem and the optimal solution of the rate allocation factor optimization problem.

[0010] The present application provides a method for minimizing the probability of decoding errors. First, the processor determines the first coding stream and the second coding stream corresponding to the first terminal device, and determines the semantic coding stream corresponding to the second terminal device. Then, the processor determines the decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream. The processor then solves the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem. Then, the processor simplifies the decoding error probability minimization problem and introduces auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem. The processor then solves the transmission power optimization problem based on the determined problem. Finally, the processor minimizes the decoding error probability based on the optimal solution to the transmission power optimization problem, the optimal solution to the bandwidth allocation optimization problem and the optimal solution to the rate allocation factor optimization problem.

[0011] Since the decoding error probability minimization problem is related to the transmission power, bandwidth allocation and rate allocation factor, the decoding error probability can be minimized by determining the optimal solution corresponding to the transmission power optimization problem, the optimal solution corresponding to the bandwidth allocation optimization problem and the optimal solution corresponding to the rate allocation factor optimization problem.

[0012] Furthermore, by simplifying the decoding error probability minimization problem and introducing auxiliary variables, a minimization problem equivalent to the decoding error probability minimization problem is determined. Therefore, the transmit power optimization problem can be solved based on the determined equivalent problem.

[0013] This achieves the technical effect of being able to calculate the optimal solutions corresponding to the transmit power optimization problem, the optimal solutions corresponding to the bandwidth allocation optimization problem, and the optimal solutions corresponding to the rate allocation factor optimization problem, thereby minimizing the probability of decoding errors. This solves the technical problem of how to minimize the probability of decoding errors during communication, which exists in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of this application. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation of the present disclosure. In the drawings:

[0015] Figure 1 is a hardware structure block diagram of a computing device for implementing the method according to embodiment 1 of the present disclosure;

[0016] Figure 2 is a schematic diagram of a system for minimizing decoding error probability according to embodiment 1 of the present disclosure;

[0017] Figure 32 is a flow chart of a method for minimizing decoding error probability according to the first aspect of embodiment 1 of the present disclosure;

[0018] Figure 4 is a schematic diagram of an apparatus for minimizing decoding error probability according to the first aspect of embodiment 2 of the present disclosure; and

[0019] Figure 5 It is a schematic diagram of the device for minimizing the probability of decoding errors according to the first aspect of embodiment 3 of the present disclosure. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present disclosure.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] Example 1

[0023] According to this embodiment, a method embodiment for minimizing the probability of decoding errors is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] The method embodiment provided in this embodiment can be executed in a mobile terminal, a computer terminal, a server or a similar computing device. Figure 1 FIG. 1 shows a hardware structure block diagram of a computing device for implementing a method for minimizing the probability of decoding errors. Figure 1As shown, the computing device may include one or more processors (the processor may include but is not limited to a microprocessor MCU or a programmable logic device FPGA, etc.), a memory for storing data, a transmission device for communication functions, and an input / output interface. The memory, transmission device, and input / output interface are connected to the processor via a bus. In addition, it may also include: a display, a keyboard, and a cursor control device connected to the input / output interface. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0025] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry." The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be incorporated in whole or in part into any of the other components of the computing device. As described in the embodiments of the present disclosure, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0026] The memory can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for minimizing the probability of decoding errors in the embodiment of the present disclosure. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implementing the method for minimizing the probability of decoding errors of the above-mentioned application. The memory may include a high-speed random access memory and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely located relative to the processor, and these remote memories may be connected to the computing device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0027] The transmission device is used to receive or send data via a network. Specific examples of the aforementioned network may include a wireless network provided by a communications provider of the computing device. In one embodiment, the transmission device includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission device may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0028] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computing device.

[0029] It should be noted that, in some optional embodiments, the above Figure 1 The computing device shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. Figure 1 This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the computing device described above.

[0030] Figure 2 Schematic diagram of a system for minimizing decoding error probability according to this embodiment. Figure 2 As shown, the system includes: a first terminal device corresponding to a first user, a second terminal device corresponding to a second user, and a base station.

[0031] The first terminal device receives a bit data stream corresponding to the first user, and splits and encodes the bit data stream to generate a first coded stream and a second coded stream.

[0032] The second terminal device receives the semantic data stream corresponding to the second user and encodes the semantic data stream to generate a semantic coding stream.

[0033] The first terminal device sends the first coding stream and the second coding stream to the base station, and the second terminal device sends the semantic coding stream to the base station.

[0034] For example, the base station decodes the first coding stream, the second coding stream and the semantic coding stream respectively in a fixed decoding order, thereby generating a first decoding stream corresponding to the first coding stream, a second decoding stream corresponding to the second coding stream and a semantic decoding stream corresponding to the semantic coding stream.

[0035] It should be noted that the first terminal device, the second terminal device and the base station in the system can all be applied to the hardware structure described above.

[0036] Under the above operating environment, according to the first aspect of this embodiment, a method for minimizing the probability of decoding errors is provided. The method comprises: Figure 1 The processor implementation shown in . Figure 3 A schematic diagram of the process is shown in FIG. Figure 3 As shown, the method includes:

[0037] S302: Determine a first coded stream and a second coded stream corresponding to the first terminal device, and determine a semantic coded stream corresponding to the second terminal device;

[0038] S304: Determine a decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream, where the decoding error probability minimization problem includes a transmit power optimization problem, a bandwidth allocation optimization problem, and a rate allocation factor optimization problem;

[0039] S306: Solve the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem;

[0040] S308: simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem;

[0041] S310: Solving a transmit power optimization problem based on the determined minimization problem; and

[0042] S312: Based on the optimal solution to the transmit power optimization problem, the optimal solution to the bandwidth allocation optimization problem, and the optimal solution to the rate allocation factor optimization problem, the decoding error probability is minimized.

[0043] Specifically, first, the processor determines the first encoding stream and the second encoding stream corresponding to the first terminal device, and determines the semantic encoding stream corresponding to the second terminal device (S302). Figure 2 As shown, when the first terminal device receives the bit data stream corresponding to the first user, the bit data stream is split and encoded to generate a first encoding stream and a second encoding stream. The first encoding stream and the second encoding stream can be recorded as x b,k , k∈(1,2).

[0044] When the second terminal device receives the semantic data stream corresponding to the second user, it encodes the semantic data stream to generate a semantic encoding stream x s The first user may be, for example, a bit communication user, and the second user may be, for example, a semantic communication user.

[0045] Then, the first terminal device sends the first coding stream and the second coding stream to the base station, and the second terminal device sends the semantic coding stream to the base station.

[0046] In addition, suppose p b,k is the transmission power of the first terminal device, so the signal received by the base station can be expressed as:

[0047]

[0048] Among them, p s is the transmission power of the second terminal device, h b is the channel coefficient from the base station to the first terminal device, h sis the channel coefficient from the base station to the second terminal device, and n is the additive white Gaussian noise emitted by the base station.

[0049] Then, the processor determines the decoding error probability minimization problem (S304) based on the first coding stream, the second coding stream and the semantic coding stream. Specifically, for example, in this embodiment, rate splitting multiple access is used to realize the decoding of the first coding stream, the second coding stream and the semantic coding stream, and the decoding order of the first coding stream, the second coding stream and the semantic coding stream cannot be determined by the channel conditions. In addition, in this embodiment, for example, DeepSC is used as the semantic communication model, so the sending end (i.e., the first terminal device and the second terminal device) and the receiving end (i.e., the base station) of the semantic transmission are pre-trained. It is thus assumed that a fixed decoding order is used to decode the first coding stream, the second coding stream and the semantic coding stream respectively. That is, the decoding order is x b,1 →x b,2 →x s .

[0050] Since decoding errors may occur during the decoding process, based on the decoding order adopted, the causes of decoding errors are as follows: (1) x b,1 Decoding error. (2)x b,1 is decoded correctly, but x b,2 is decoded incorrectly. Therefore, in the case of overall error, the probability of obtaining the first user is:

[0051] ∈ b =∈ b,1 +(1-∈ b,1 )∈ b,2 (Formula 2)

[0052] In order to enable ultra-reliable low-latency communication to transmit the first encoded stream x b,1 and the second coded stream x b,2 Our goal is to optimize the transmit power, bandwidth allocation, and rate allocation factor under the performance requirements of semantic communication to minimize the overall decoding error probability. The formula for minimizing the decoding error probability is as follows:

[0053]

[0054]

[0055]

[0056]

[0057]

[0058] W b +Ws =W (Formula 3f)

[0059] 0≤α≤1 (Formula 3g)

[0060] Among them, Formula 3b indicates that the sum of the first transmission power corresponding to the first coding stream and the second transmission power corresponding to the second coding stream does not exceed the maximum transmission power for transmitting the bit data stream. Formula 3c indicates that the third transmission power corresponding to the semantic coding stream does not exceed the maximum transmission power for transmitting the semantic data stream. Formula 3d indicates that the semantic rate corresponding to the semantic coding stream is greater than or equal to the target semantic rate. Formula 3e indicates that the effective semantic communication corresponding to the semantic coding stream is greater than or equal to the minimum semantic similarity. Formula 3f indicates that the sum of the first bandwidth corresponding to the first coding stream, the second bandwidth corresponding to the second coding stream, and the third bandwidth corresponding to the semantic coding stream is equal to the total bandwidth. Formula 3g indicates the constraint on the rate allocation factor. The above content will be described in detail later, so it will not be repeated here.

[0061] The proposed problem of minimizing the decoding error probability presents two challenges. First, Formula 3d and Formula 3e are non-convex, necessitating the convexification of these non-convex functions. Second, there is the combination of message error probabilities. To address these issues, this embodiment proposes a low-complexity iterative algorithm based on an inner approximation framework to obtain a stationary point.

[0062] Thus, the processor solves the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem (S306). Specifically, for a given third bandwidth W s The above formula 3a is further approximated by the case of the rate allocation factor α, so that the third bandwidth W s The above content will be described in detail later, so it will not be repeated here.

[0063] The processor then simplifies the decoding error probability minimization problem and introduces auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem (S308). Specifically, according to the above formula 3f and the total bandwidth W, W can be calculated. b The value of K and γ s The generalized similarity function of (i.e., the following formula 19), and the bandwidth W allocated to the semantic coding stream s , so that formula 3d can be rewritten as:

[0064]

[0065] Among them, σ 2 represents the covariance of the additive white Gaussian noise from a single antenna access point, p srepresents the transmission power of the semantic coding stream, h s represents the channel coefficient from the single-antenna access point to the second terminal device, W s represents the feasible bandwidth corresponding to the semantic coding stream, and the other parameters are fitting parameters. The above formula 4 is a convex constraint, which gives the feasible bandwidth W of the semantic coding stream. s and rate allocation factor α. Thus, the above formula 3a can be simplified to:

[0066]

[0067] Then, we introduce auxiliary variables t,η b,1 ,η b,2 ,ρ b,1 ,ρ b,2 , then the above formula 5 can be equivalent to:

[0068]

[0069] η b,1 +η b,2 ≤η b,1 η b,2 +t (Formula 5b)

[0070] η b,1 ≤Q(s(ρ b,1 )) (Formula 5c)

[0071] η b,2 ≤Q(s(ρ b,2 )) (Formula 5d)

[0072]

[0073]

[0074] in,

[0075] Further, the processor solves the transmit power optimization problem based on the determined problem (S310). In order to solve the above formula 5a, a reference point is given. n is the iteration index. b,1 ,η b,2 The first-order Taylor approximation of , the right side of the above formula 5b can be expressed as:

[0076]

[0077] In order to obtain Q(s(ρ b,1 )) convexity, for ρ b,1 and s(ρ b,1 )have:

[0078] s(ρb,1 )≥0 (Formula 7)

[0079] Then according to the above formula 7, it can be calculated as follows:

[0080]

[0081] For Equation 7 and Equation 8, use the first-order Taylor approximation point at Nearby approximation Q(s(ρ b,1 ), we can get formula 9:

[0082]

[0083] Similarly, by convexifying the right side of the above formula 5d, we can obtain:

[0084]

[0085]

[0086] Similarly, for the above formula 5e and the above formula 5f, the first-order Taylor approximation points are respectively and Approximately, we can get the following formula:

[0087]

[0088]

[0089] Among them, the above formula 5e corresponds to formula 12, and formula 5f corresponds to formula 13.

[0090] Then, using the above formula 6 and formula 13, given the reference point Thus we can get the formula:

[0091]

[0092] η b,1 ≤Φ [n] (ρ b,1 ) (Formula 14b)

[0093] η b,2 ≤Φ [n] (ρ b,2 ) (Formula 14c)

[0094] The above formula 14a can be solved by a ready-made CVX solver to obtain the optimal solution corresponding to the transmit power optimization problem.

[0095] Finally, the processor minimizes the decoding error probability based on the optimal solution to the transmit power optimization problem, the optimal solution to the bandwidth allocation optimization problem, and the optimal solution to the rate allocation factor optimization problem ( S312 ).

[0096] As described in the background, the basic idea behind rate splitting is to split the transmitted message into two parts at the transmitter: a proprietary part and a public part. The public part can be combined into a single entity and transmitted within the same time-frequency resources as the proprietary part. In addition to decoding the two-part message (public and proprietary), the receiver also needs to decode some interference. Furthermore, as the number of terminal devices (i.e., transmitters) increases, interference between different terminal devices intensifies. Therefore, minimizing the overall probability of decoding errors becomes particularly important.

[0097] In view of this, the present application provides a method for minimizing the probability of decoding errors. Since the problem of minimizing the probability of decoding errors is related to transmit power, bandwidth allocation, and rate allocation factor, the probability of decoding errors can be minimized by determining the optimal solution corresponding to the transmit power optimization problem, the optimal solution corresponding to the bandwidth allocation optimization problem, and the optimal solution corresponding to the rate allocation factor optimization problem.

[0098] Furthermore, by simplifying the decoding error probability minimization problem and introducing auxiliary variables, a minimization problem equivalent to the decoding error probability minimization problem is determined. Therefore, the transmit power optimization problem can be solved based on the determined equivalent problem.

[0099] Optionally, the operations of determining the first coding stream and the second coding stream corresponding to the first terminal device, and determining the semantic coding stream corresponding to the second terminal device, include: determining the bit data stream corresponding to the first terminal device and the semantic data stream corresponding to the second terminal device; using the first terminal device to split and encode the bit data stream to generate the first coding stream and the second coding stream corresponding to the first terminal device; using the second terminal device to encode the semantic data stream to generate the semantic coding stream corresponding to the second terminal device.

[0100] Specifically, when the first terminal device receives the bit data stream corresponding to the first user, the bit data stream is split and encoded to generate a first encoding stream and a second encoding stream. The first encoding stream and the second encoding stream can be recorded as x b,k , k∈(1,2).

[0101] When the second terminal device receives the semantic data stream corresponding to the second user, it encodes the semantic data stream to generate a semantic encoding stream x s The first user may be, for example, a bit communication user, and the second user may be, for example, a semantic communication user.

[0102] Optionally, the operation of determining a decoding error probability minimization problem based on the first coding stream, the second coding stream, and the semantic coding stream includes: determining the decoding error probability problem based on the first coding stream, the second coding stream, and the semantic coding stream; determining constraints corresponding to the decoding error probability; and determining the decoding error probability minimization problem based on the decoding error probability problem and the constraints. Further optionally, the operation of determining a decoding error probability problem based on the first coding stream, the second coding stream, and the semantic coding stream includes: determining a first signal-to-noise ratio corresponding to the first coding stream and a second signal-to-noise ratio corresponding to the second coding stream; determining a first target rate corresponding to the first coding stream and a second target rate corresponding to the second coding stream; determining a first bandwidth allocated to the first coding stream and a second bandwidth allocated to the second coding stream; and determining the decoding error probability problem based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth, and the second bandwidth. Further optionally, the operation of determining the constraint conditions corresponding to the decoding error probability includes: determining a first transmission power of the first coding stream and a second transmission power of the second coding stream, and making the sum of the first transmission power and the second transmission power not exceed a first maximum transmission power, wherein the first maximum transmission power is the maximum transmission power for transmitting the coding stream corresponding to the bit data stream; determining a third transmission power of the semantic coding stream, and making the third transmission power less than the second maximum transmission power, wherein the second maximum transmission power is the maximum transmission power for transmitting the semantic coding stream; determining a semantic rate corresponding to the semantic coding stream, and making the semantic rate not less than a target semantic rate; determining effective semantic communication corresponding to the semantic coding stream, and making the effective semantic communication not less than a minimum semantic similarity; determining a third bandwidth corresponding to the semantic coding stream, and making the sum of the first bandwidth, the second bandwidth and the third bandwidth equal to the total bandwidth; and determining a rate allocation factor, and making the rate allocation factor less than 1.

[0103] Specifically, the first coded stream x b,1 The signal-to-noise ratio can be expressed as:

[0104]

[0105] Among them, p b,1 represents the transmission power of the first coded stream, p b,2 represents the transmission power of the second coded stream, p s represents the transmission power of the semantic coding stream, h b represents the channel coefficient from the single-antenna access point to the first terminal device, h s Represents the channel coefficient from the single-antenna access point to the second terminal device. σ 2 Represents the covariance of the additive white Gaussian noise emitted by a single-antenna access point.

[0106] Second coded stream x b,2 The signal-to-noise ratio can be expressed as:

[0107]

[0108] Semantic encoding stream x s The signal-to-noise ratio can be expressed as:

[0109]

[0110] In addition, after performing serial interference removal (SIC), the semantic rate is:

[0111]

[0112] Among them, L represents the average number of words to be transmitted for each sentence text, and W s represents the feasible bandwidth corresponding to the semantic encoding stream, K represents the average number of mapped semantic symbols transmitted by DeepSC for each word, I represents the average amount of semantic information contained in the transmitted sentence, ε(K,γ s ) represents the semantic similarity function relative to K and γs.

[0113] For a given K and γ s , which is approximately expressed by the generalized logic function:

[0114]

[0115] Among them, A K,1 >0 and A K,2 >0 respectively indicate the lower left asymptote and the upper right asymptote. K,1 >0 and C K,2 >0 represents the logistics growth rate and logistics midpoint, respectively.

[0116] Based on the above formula, the achieved semantic rate is approximately:

[0117]

[0118] The target rate index of the first terminal device is r b Therefore, the target rate of the first coded stream can be expressed as follows:

[0119] r b,1 =αr b (Formula 21)

[0120] The target rate of the second coded stream can be expressed as follows:

[0121] r b,2 =(1-α)r b (Formula 22)

[0122] where α is the ratio allocation factor.

[0123] Given a finite block length transmission rate, the error probability can be expressed as:

[0124]

[0125] in, represents the channel dispersion, Q(·) represents the Gaussian Q function, γ represents the signal-to-noise ratio of the data stream, N represents the block length, r represents the target rate of the data stream, and W represents the bandwidth allocated to the data stream.

[0126] For example, when it is necessary to calculate the error probability corresponding to the first coded stream, the parameters corresponding to the first coded stream need to be substituted into the above formula. That is, the signal-to-noise ratio γ of the first coded stream is b,1 , the target rate r of the first coded stream b,1 , and the bandwidth W allocated to the first coded stream b,1 .

[0127] When the error probability corresponding to the second coded stream needs to be calculated, the parameters corresponding to the second coded stream need to be substituted into the above formula. That is, the signal-to-noise ratio γ of the second coded stream is b,2 , the target rate r of the second coded stream b,2 , and the bandwidth W allocated to the second coded stream b,2 .

[0128] Then, the processor determines the constraint conditions corresponding to the decoding error probability. Specifically, the first coded stream x b,1 The first transmission power p b,1 and the second coded stream x b,2 The second transmission power p b,2 The sum cannot exceed the maximum transmit power used to transmit the coded stream corresponding to the bit data stream

[0129] The third transmission power p of the semantic coding stream s The maximum transmit power used to transmit the semantic coding stream cannot be exceeded

[0130] The semantic rate S of the semantic coding stream is not less than the target semantic rate

[0131] Efficient semantic communication corresponding to the semantic encoding flow Cannot be less than the minimum semantic similarity

[0132] With the first encoded stream x b,1 The corresponding first bandwidth W b,1 , and the second coded stream x b,2 The corresponding second bandwidth Wb,2 and the third encoded stream x s The corresponding third bandwidth W s The sum is equal to the total bandwidth W.

[0133] The rate allocation factor a is greater than 0 and less than 1.

[0134] Optionally, based on the decoding error probability minimization problem, the operation of solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem includes: determining a bound corresponding to the third bandwidth, and optimizing through a fast two-dimensional grid search, thereby calculating a value corresponding to the third bandwidth and a value corresponding to the rate allocation factor; and based on the total bandwidth and the third bandwidth, calculating a value corresponding to the first bandwidth and a value corresponding to the second bandwidth.

[0135] Specifically, since the third bandwidth W in the above formula 12d s and the signal-to-noise ratio γ of the semantic coding stream s is coupled, so a decomposition scheme is needed. Therefore, the third bandwidth W s The bounds of are:

[0136]

[0137] Thus, for the third bandwidth W s and rate allocation factor α are respectively The third bandwidth W can be obtained by optimizing it through fast two-dimensional grid search on and α∈[0,1]. s and the value of the rate allocation factor α.

[0138] Therefore, according to the second aspect of this embodiment, the technical effect of minimizing the probability of decoding errors is achieved.

[0139] In addition, reference Figure 1 As shown, according to a second aspect of this embodiment, a storage medium is provided, wherein the storage medium includes a stored program, wherein when the program is run, a processor executes any one of the above methods.

[0140] Therefore, according to this embodiment, the technical effect of minimizing the probability of decoding errors is achieved.

[0141] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations. However, those skilled in the art should be aware that the present invention is not limited by the order of the actions described, because according to the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0142] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0143] Example 2

[0144] Figure 4 FIG4 shows an apparatus 400 for minimizing decoding error probability according to the first aspect of this embodiment, which corresponds to the method according to the first aspect of embodiment 1. Figure 4 As shown, the apparatus 400 includes: a coding stream determination module 410, for determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device; a minimization problem determination module 420, for determining a decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem and a rate allocation factor optimization problem; a first solution module 430, for solving a bandwidth allocation optimization problem and a rate allocation factor optimization problem based on the decoding error probability minimization problem; an equivalent problem determination module 440, for simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; a second solution module 450, for solving a transmission power optimization problem based on the determined problem; and a minimization module 460, for minimizing the decoding error probability based on the optimal solution of the transmission power optimization problem, the optimal solution of the bandwidth allocation optimization problem and the optimal solution of the rate allocation factor optimization problem.

[0145] Optionally, the coding stream determination module 410 includes: a first coding stream determination sub-module, used to determine the bit data stream corresponding to the first terminal device and the semantic data stream corresponding to the second terminal device; a first coding stream generation module, used to use the first terminal device to split and encode the bit data stream, thereby generating a first coding stream and a second coding stream corresponding to the first terminal device; a second coding stream generation module, used to use the second terminal device to encode the semantic data stream, thereby generating a semantic coding stream corresponding to the second terminal device.

[0146] Optionally, the minimization problem determination module 420 includes: a problem determination module, used to determine the decoding error probability problem based on the first coding stream, the second coding stream and the semantic coding stream; a constraint determination module, used to determine the constraint corresponding to the decoding error probability; and a minimization problem determination sub-module, used to determine the decoding error probability minimization problem based on the decoding error probability problem and the constraint.

[0147] Optionally, the problem determination includes: a signal-to-noise ratio determination module, used to determine a first signal-to-noise ratio corresponding to the first coding stream and a second signal-to-noise ratio corresponding to the second coding stream; a target rate determination module, used to determine a first target rate corresponding to the first coding stream and a second target rate corresponding to the second coding stream; a bandwidth determination module, used to determine a first bandwidth allocated to the first coding stream and a second bandwidth allocated to the second coding stream; and a problem determination submodule, used to determine a decoding error probability problem based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth, and the second bandwidth.

[0148] Optionally, the constraint determination module includes: a first constraint determination submodule, used to determine a first transmission power of a first coding stream and a second transmission power of a second coding stream, and make the sum of the first transmission power and the second transmission power not exceed a first maximum transmission power, wherein the first maximum transmission power is the maximum transmission power for transmitting a coding stream corresponding to a bit data stream; a second constraint determination submodule, used to determine a third transmission power of a semantic coding stream, and make the third transmission power less than the second maximum transmission power, wherein the second maximum transmission power is the maximum transmission power for transmitting a semantic coding stream; a third constraint determination submodule, used to determine a semantic rate corresponding to the semantic coding stream, and make the semantic rate not less than a target semantic rate; a fourth constraint determination submodule, used to determine effective semantic communication corresponding to the semantic coding stream, and make the effective semantic communication not less than a minimum semantic similarity; a fifth constraint determination submodule, used to determine a third bandwidth corresponding to the semantic coding stream, and make the sum of the first bandwidth, the second bandwidth and the third bandwidth equal to the total bandwidth; and a sixth constraint determination submodule, used to determine a rate allocation factor, and make the rate allocation factor less than 1.

[0149] Optionally, the first solution module 430 includes: a first calculation module, used to determine the boundary corresponding to the third bandwidth, and optimize through a fast two-dimensional grid search, so as to calculate the value corresponding to the third bandwidth and the value corresponding to the rate allocation factor; and a second calculation module, used to calculate the value corresponding to the first bandwidth and the value corresponding to the second bandwidth based on the total bandwidth and the third bandwidth.

[0150] Therefore, according to this embodiment, the technical effect of minimizing the probability of decoding errors is achieved.

[0151] Example 3

[0152] Figure 5 FIG2 shows an apparatus 500 for minimizing decoding error probability according to the first aspect of this embodiment, which corresponds to the method according to the first aspect of embodiment 1. Figure 5 As shown, the device 500 includes: a processor 510; and a memory 520, which is connected to the processor 510 and is used to provide instructions for the processor 510 to process the following processing steps: determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device; determining a decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream, wherein the decoding error probability minimization problem includes a transmission power optimization problem, a bandwidth allocation optimization problem and a rate allocation factor optimization problem; solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; solving the transmission power optimization problem based on the determined problem; and minimizing the decoding error probability based on the optimal solution of the transmission power optimization problem, the optimal solution of the bandwidth allocation optimization problem and the optimal solution of the rate allocation factor optimization problem.

[0153] Optionally, the operations of determining the first coding stream and the second coding stream corresponding to the first terminal device, and determining the semantic coding stream corresponding to the second terminal device, include: determining the bit data stream corresponding to the first terminal device and the semantic data stream corresponding to the second terminal device; using the first terminal device to split and encode the bit data stream to generate the first coding stream and the second coding stream corresponding to the first terminal device; using the second terminal device to encode the semantic data stream to generate the semantic coding stream corresponding to the second terminal device.

[0154] Optionally, the operation of determining the decoding error probability minimization problem based on the first coding stream, the second coding stream and the semantic coding stream includes: determining the decoding error probability problem based on the first coding stream, the second coding stream and the semantic coding stream; determining the constraints corresponding to the decoding error probability; and determining the decoding error probability minimization problem based on the decoding error probability problem and the constraints.

[0155] Optionally, the operation of determining a decoding error probability problem based on the first coding stream, the second coding stream and the semantic coding stream includes: determining a first signal-to-noise ratio corresponding to the first coding stream and a second signal-to-noise ratio corresponding to the second coding stream; determining a first target rate corresponding to the first coding stream and a second target rate corresponding to the second coding stream; determining a first bandwidth allocated to the first coding stream and a second bandwidth allocated to the second coding stream; and determining the decoding error probability problem based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth and the second bandwidth.

[0156] Optionally, the operation of determining the constraint conditions corresponding to the decoding error probability includes: determining a first transmission power of the first coding stream and a second transmission power of the second coding stream, and making the sum of the first transmission power and the second transmission power not exceed a first maximum transmission power, wherein the first maximum transmission power is the maximum transmission power for transmitting the coding stream corresponding to the bit data stream; determining a third transmission power of the semantic coding stream, and making the third transmission power less than the second maximum transmission power, wherein the second maximum transmission power is the maximum transmission power for transmitting the semantic coding stream; determining a semantic rate corresponding to the semantic coding stream, and making the semantic rate not less than a target semantic rate; determining effective semantic communication corresponding to the semantic coding stream, and making the effective semantic communication not less than a minimum semantic similarity; determining a third bandwidth corresponding to the semantic coding stream, and making the sum of the first bandwidth, the second bandwidth and the third bandwidth equal to the total bandwidth; and determining a rate allocation factor, and making the rate allocation factor less than 1.

[0157] Optionally, based on the decoding error probability minimization problem, the operation of solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem includes: determining a bound corresponding to the third bandwidth, and optimizing through a fast two-dimensional grid search, thereby calculating a value corresponding to the third bandwidth and a value corresponding to the rate allocation factor; and based on the total bandwidth and the third bandwidth, calculating a value corresponding to the first bandwidth and a value corresponding to the second bandwidth.

[0158] Therefore, according to this embodiment, the technical effect of minimizing the probability of decoding errors is achieved.

[0159] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0160] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0161] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0162] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0163] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0164] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0165] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for minimizing decoding error probability, characterized in that: include: Determine a first coding stream and a second coding stream corresponding to the first terminal device, and determine a semantic coding stream corresponding to the second terminal device; Determining a decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream, wherein the decoding error probability minimization problem includes a transmit power optimization problem, a bandwidth allocation optimization problem, and a rate allocation factor optimization problem; Solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; Simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; Solving the transmit power optimization problem based on the determined problem; as well as The decoding error probability is minimized based on an optimal solution to the transmit power optimization problem, an optimal solution to the bandwidth allocation optimization problem, and an optimal solution to the rate allocation factor optimization problem, wherein the operation of determining the decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream includes: determining a decoding error probability problem according to the first coding stream, the second coding stream, and the semantic coding stream; determining a constraint condition corresponding to the decoding error probability; and Based on the decoding error probability problem and the constraint condition, determining the decoding error probability minimization problem, which also includes: determining a first signal-to-noise ratio corresponding to the first coded stream and a second signal-to-noise ratio corresponding to the second coded stream; Determining a first target rate corresponding to the first coded stream and a second target rate corresponding to the second coded stream; determining a first bandwidth allocated to the first encoded stream and a second bandwidth allocated to the second encoded stream; and The decoding error probability problem is determined based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth, and the second bandwidth, and the operation of determining a constraint condition corresponding to the decoding error probability includes: determining a first transmit power for the first coded stream and a second transmit power for the second coded stream, so that a sum of the first transmit power and the second transmit power does not exceed a first maximum transmit power, wherein the first maximum transmit power is a maximum transmit power for transmitting a coded stream corresponding to a bit data stream; Determining a third transmit power of the semantic coding stream, and making the third transmit power less than a second maximum transmit power, wherein the second maximum transmit power is a maximum transmit power for transmitting the semantic coding stream; determining a semantic rate corresponding to the semantic coding stream, and making the semantic rate no less than a target semantic rate; Determining effective semantic communication corresponding to the semantic coding stream, and making the effective semantic communication no less than a minimum semantic similarity; determining a third bandwidth corresponding to the semantic coding stream, and making the sum of the first bandwidth, the second bandwidth, and the third bandwidth equal to the total bandwidth; and Determining a rate allocation factor and making the rate allocation factor less than 1, wherein the operation of solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem includes: Determining a bound corresponding to the third bandwidth and optimizing it through a fast two-dimensional grid search to calculate a value corresponding to the third bandwidth and a value corresponding to the rate allocation factor; and Based on the total bandwidth and the third bandwidth, a value corresponding to the first bandwidth and a value corresponding to the second bandwidth are calculated.

2. The method according to claim 1, characterized in that The operation of determining a first coding stream and a second coding stream corresponding to a first terminal device, and determining a semantic coding stream corresponding to a second terminal device, includes: Determining a bit data stream corresponding to the first terminal device and a semantic data stream corresponding to the second terminal device; Using the first terminal device to split and encode the bit data stream, thereby generating a first coded stream and a second coded stream corresponding to the first terminal device; and The semantic data stream is encoded using the second terminal device, thereby generating a semantically encoded stream corresponding to the second terminal device.

3. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is run, the processor executes the method according to any one of claims 1 to 2.

4. A device for minimizing the probability of decoding errors, characterized in that include: A coding stream determination module, configured to determine a first coding stream and a second coding stream corresponding to a first terminal device, and to determine a semantic coding stream corresponding to a second terminal device; a minimization problem determination module, configured to determine a decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream, wherein the decoding error probability minimization problem includes a transmit power optimization problem, a bandwidth allocation optimization problem, and a rate allocation factor optimization problem; A first solving module is configured to solve the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; an equivalent problem determination module, configured to simplify the decoding error probability minimization problem and introduce auxiliary variables to thereby determine a problem equivalent to the decoding error probability minimization problem; A second solving module is used to solve the transmit power optimization problem based on the determined problem; a minimization module, configured to minimize the decoding error probability based on the optimal solution to the transmit power optimization problem, the optimal solution to the bandwidth allocation optimization problem, and the optimal solution to the rate allocation factor optimization problem, wherein the minimization problem determination module includes: a problem determination module, configured to determine a decoding error probability problem based on the first coded stream, the second coded stream, and the semantic coded stream; a constraint condition determination module, configured to determine a constraint condition corresponding to the decoding error probability; and a minimization problem determination submodule, configured to determine the decoding error probability minimization problem based on the decoding error probability problem and the constraint condition, wherein the problem determination module comprises: a signal-to-noise ratio determination module, configured to determine a first signal-to-noise ratio corresponding to the first coded stream and a second signal-to-noise ratio corresponding to the second coded stream; a target rate determination module, configured to determine a first target rate corresponding to the first coded stream and a second target rate corresponding to the second coded stream; a bandwidth determining module, configured to determine a first bandwidth allocated to the first coded stream and a second bandwidth allocated to the second coded stream; and a problem determination submodule, configured to determine a decoding error probability problem based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth, and the second bandwidth, wherein the constraint condition determination module includes: a first constraint condition determination submodule, configured to determine a first transmit power of the first coded stream and a second transmit power of the second coded stream, and to ensure that the sum of the first transmit power and the second transmit power does not exceed a first maximum transmit power, wherein the first maximum transmit power is a maximum transmit power for transmitting a coded stream corresponding to a bit data stream; a second constraint condition determination submodule, configured to determine a third transmit power of the semantic coding stream, and to make the third transmit power less than a second maximum transmit power, wherein the second maximum transmit power is a maximum transmit power for transmitting the semantic coding stream; a third constraint condition determination submodule, configured to determine a semantic rate corresponding to the semantic coding stream, and to ensure that the semantic rate is not less than a target semantic rate; a fourth constraint condition determination submodule, configured to determine effective semantic communication corresponding to the semantic coding stream, and to ensure that the effective semantic communication is not less than a minimum semantic similarity; a fifth constraint determination submodule, configured to determine a third bandwidth corresponding to the semantic coding stream, and to make the sum of the first bandwidth, the second bandwidth, and the third bandwidth equal to the total bandwidth; and a sixth constraint determination submodule, configured to determine a rate allocation factor, and to make the rate allocation factor less than 1, wherein the first solution module comprises: a first calculation module, configured to determine a bound corresponding to the third bandwidth, and optimize through a fast two-dimensional grid search, thereby calculating a value corresponding to the third bandwidth and a value corresponding to the rate allocation factor; and The second calculation module is configured to calculate a value corresponding to the first bandwidth and a value corresponding to the second bandwidth based on the total bandwidth and the third bandwidth.

5. A device for minimizing decoding error probability, characterized in that include: processor; as well as A memory, connected to the processor, configured to provide the processor with instructions for processing the following processing steps: Determine a first coding stream and a second coding stream corresponding to the first terminal device, and determine a semantic coding stream corresponding to the second terminal device; Determining a decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream, wherein the decoding error probability minimization problem includes a transmit power optimization problem, a bandwidth allocation optimization problem, and a rate allocation factor optimization problem; Solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem; Simplifying the decoding error probability minimization problem and introducing auxiliary variables to determine a problem equivalent to the decoding error probability minimization problem; Solving the transmit power optimization problem based on the determined problem; as well as The decoding error probability is minimized based on an optimal solution to the transmit power optimization problem, an optimal solution to the bandwidth allocation optimization problem, and an optimal solution to the rate allocation factor optimization problem, wherein the operation of determining the decoding error probability minimization problem based on the first coded stream, the second coded stream, and the semantic coded stream includes: determining a decoding error probability problem according to the first coding stream, the second coding stream, and the semantic coding stream; determining a constraint condition corresponding to the decoding error probability; and Based on the decoding error probability problem and the constraint condition, determining the decoding error probability minimization problem, which also includes: determining a first signal-to-noise ratio corresponding to the first coded stream and a second signal-to-noise ratio corresponding to the second coded stream; Determining a first target rate corresponding to the first coded stream and a second target rate corresponding to the second coded stream; determining a first bandwidth allocated to the first encoded stream and a second bandwidth allocated to the second encoded stream; and The decoding error probability problem is determined based on the first signal-to-noise ratio, the second signal-to-noise ratio, the first target rate, the second target rate, the first bandwidth, and the second bandwidth, and the operation of determining a constraint condition corresponding to the decoding error probability includes: determining a first transmit power for the first coded stream and a second transmit power for the second coded stream, so that a sum of the first transmit power and the second transmit power does not exceed a first maximum transmit power, wherein the first maximum transmit power is a maximum transmit power for transmitting a coded stream corresponding to a bit data stream; Determining a third transmit power of the semantic coding stream, and making the third transmit power less than a second maximum transmit power, wherein the second maximum transmit power is a maximum transmit power for transmitting the semantic coding stream; determining a semantic rate corresponding to the semantic coding stream, and making the semantic rate no less than a target semantic rate; Determining effective semantic communication corresponding to the semantic coding stream, and making the effective semantic communication no less than a minimum semantic similarity; determining a third bandwidth corresponding to the semantic coding stream, and making the sum of the first bandwidth, the second bandwidth, and the third bandwidth equal to the total bandwidth; and Determining a rate allocation factor and making the rate allocation factor less than 1, wherein the operation of solving the bandwidth allocation optimization problem and the rate allocation factor optimization problem based on the decoding error probability minimization problem includes: Determining a bound corresponding to the third bandwidth and optimizing it through a fast two-dimensional grid search to calculate a value corresponding to the third bandwidth and a value corresponding to the rate allocation factor; and Based on the total bandwidth and the third bandwidth, a value corresponding to the first bandwidth and a value corresponding to the second bandwidth are calculated.

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