5G new wireless signal optimization method and device based on nonlinear precoding

Abstract

The invention relates to a 5G new wireless signal optimization method and device based on nonlinear precoding. The method comprises the following steps: acquiring a 5G new wireless to-be-sent signal, and performing pre-filtering processing on the 5G new wireless to-be-sent signal to obtain a filtering vector; and adding a preset disturbance vector to the 5G new wireless to-be-sent signal to obtain a first signal vector. And adjusting each element in the first signal vector to be within a preset modulus range through a modulus feedback filter to obtain a second signal vector. And adjusting the second signal vector through a forward filter to obtain a nonlinear pre-coded signal vector. And performing calibration optimization on the 5G new wireless to-be-sent signal according to the filtering vector, the nonlinear pre-coding signal vector and channel state information acquired in real time to obtain a sending signal. By adopting the method, the communication energy consumption can be reduced.

Description

Technical Field

[0001] The present invention relates to the field of network communication technology, and in particular to a 5G new wireless signal optimization method and device based on nonlinear precoding. Background Art

[0002] With the rapid development of mobile communication technology, especially in 5G and the expected 6G technology, the demand for high-efficiency and high-quality communication is increasing. Although traditional linear precoding technologies (minimum mean square error (MMSE) and zero-forcing (ZF) precoding) have significant advantages in simplifying system design and reducing computational complexity, they often fail to meet performance requirements in real-world application scenarios with severe multi-user interference and complex wireless channel conditions.

[0003] Generally speaking, traditional linear precoding technology has the following limitations:

[0004] Limited anti-interference capability: In multi-user situations, interference between users cannot be effectively suppressed, especially in densely populated network environments, city centers, and large-scale event sites.

[0005] Low spectrum utilization: Since linear precoding focuses on maximizing signal gain rather than overall system efficiency, its spectrum utilization is often not optimal.

[0006] High requirements for channel state information (CSI): The effect of linear precoding is heavily dependent on accurate channel state information, and it is a challenge to obtain accurate CSI in a rapidly changing wireless environment.

[0007] Existing linear precoding technologies, zero-forcing and minimum mean square error precoding, have advantages in simplifying system design, but they perform poorly in environments with severe multi-user interference, especially when the number of users increases, their performance drops sharply. These technologies also rely on accurate channel state information, and it is very difficult to obtain accurate information in a dynamically changing communication environment, which in turn affects the effect of precoding. In addition, although nonlinear precoding technologies such as vector perturbation and Tomlinson-Harashima precoding improve anti-interference and spectrum efficiency, their implementation is complex and requires more computing resources and complex hardware support, which increases costs and affects the popularization of technology. The operation of efficient communication systems is also accompanied by high energy consumption, which is particularly prominent in application scenarios that require environmental protection and high energy efficiency. Summary of the invention

[0008] Based on this, it is necessary to provide a 5G new wireless signal optimization method and device based on nonlinear precoding that can reduce communication energy consumption in response to the above technical problems.

[0009] A 5G new wireless signal optimization method based on nonlinear precoding, the method comprising:

[0010] The 5G new wireless signal to be sent is obtained, and the 5G new wireless signal to be sent is pre-filtered to obtain a filter vector.

[0011] A preset disturbance vector is added to the 5G new wireless signal to be sent to obtain a first signal vector.

[0012] Each element in the first signal vector is adjusted within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0013] The second signal vector is adjusted through a forward filter to obtain a nonlinear precoding signal vector.

[0014] The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the transmission signal.

[0015] A 5G new wireless signal optimization device based on nonlinear precoding, the device comprising:

[0016] The filter vector acquisition module is used to obtain the 5G new wireless signal to be sent, pre-filter the 5G new wireless signal to be sent, and obtain a filter vector.

[0017] The first signal vector acquisition module is used to add a preset disturbance vector to the 5G new wireless signal to be sent to obtain a first signal vector.

[0018] The second signal vector acquisition module is used to adjust each element in the first signal vector within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0019] The nonlinear precoding signal vector acquisition module is used to adjust the second signal vector through a forward filter to obtain a nonlinear precoding signal vector.

[0020] The optimization module is used to calibrate and optimize the 5G new wireless signal to be sent according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the sending signal.

[0021] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0022] The 5G new wireless signal to be sent is obtained, and the 5G new wireless signal to be sent is pre-filtered to obtain a filter vector.

[0023] A preset disturbance vector is added to the 5G new wireless signal to be sent to obtain a first signal vector.

[0024] Each element in the first signal vector is adjusted within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0025] The second signal vector is adjusted through a forward filter to obtain a nonlinear precoding signal vector.

[0026] The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the transmission signal.

[0027] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the following steps:

[0028] The 5G new wireless signal to be sent is obtained, and the 5G new wireless signal to be sent is pre-filtered to obtain a filter vector.

[0029] A preset disturbance vector is added to the 5G new wireless signal to be sent to obtain a first signal vector.

[0030] Each element in the first signal vector is adjusted within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0031] The second signal vector is adjusted through a forward filter to obtain a nonlinear precoding signal vector.

[0032] The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the transmission signal.

[0033] The above-mentioned 5G new wireless signal optimization method and device based on nonlinear precoding, first, the pre-filtering process can filter out the high-frequency components and noise in the signal, and enhance the clarity and stability of the signal. The filter vector generated by the pre-filtering process can effectively reduce unnecessary interference, thereby improving the anti-interference ability of the signal. Next, a preset disturbance vector is added to simulate the interference factors in a complex wireless environment so that the system pre-adjusts the signal before actual transmission. This pre-adjustment can improve the adaptability and anti-interference ability of the signal in a real interference environment. The adjustment step of the modulus feedback filter further adjusts each element of the signal to a preset modulus range to prevent the signal from being too strong or too weak, ensuring that the signal is more stable during transmission and is not easily interfered. This step is designed to enhance the anti-interference ability and stability of the signal. In order to improve the spectrum efficiency, the technical solution introduces forward filter adjustment. The forward filter optimizes the spectrum characteristics of the signal so that the signal can transmit more information within limited spectrum resources, thereby improving the spectrum utilization. Nonlinear precoding technology pre-processes the signal at the transmitting end, making it easier for the receiving end to decode and restore, reduce the bit error rate, and improve the transmission efficiency. This technology greatly improves the efficiency of spectrum utilization. In addition, although accurate channel state information is very important for optimizing signal transmission, this solution reduces the dependence on real-time accurate channel state information to a certain extent through multiple processing steps such as pre-filtering, perturbation vector and modulus feedback filtering. The system calibrates and optimizes the signal through the filter vector, nonlinear precoding signal vector and channel state information obtained in real time, and dynamically adjusts the transmitted signal to adapt to the current channel environment. This dynamic adjustment mechanism reduces the dependence on accurate channel state information and improves the robustness of the system. In general, through the application of pre-filtering and modulus feedback filters, the signal has been multi-optimized before transmission, reducing the interference effect in the actual environment and significantly improving the anti-interference ability. The use of forward filters and nonlinear precoding technology enables the signal to transmit more information when the spectrum resources are limited, thereby improving the spectrum utilization. The integration of multiple signal processing steps enables the system to effectively adjust signal transmission even in the absence of accurate channel state information, ensuring the stability and efficiency of signal transmission, thereby significantly improving system performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flowchart of a 5G new wireless signal optimization method based on nonlinear precoding in one embodiment;

[0035] Figure 2 A schematic diagram of a signal preprocessing process in an embodiment;

[0036] Figure 3 A schematic diagram of a nonlinear precoding process in one embodiment;

[0037] Figure 4 A signal optimization effect diagram in one embodiment;

[0038] Figure 5 It is a structural block diagram of a 5G new wireless signal optimization device based on nonlinear precoding in one embodiment;

[0039] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0041] In one embodiment, Figure 1 As shown, a 5G new wireless signal optimization method based on nonlinear precoding is provided, comprising the following steps:

[0042] Step 102: obtain the 5G new wireless signal to be sent, pre-filter the 5G new wireless signal to be sent, and obtain a filter vector.

[0043] Step 104: Add a preset disturbance vector to the 5G new wireless signal to be sent to obtain a first signal vector.

[0044] Step 106: adjust each element in the first signal vector to be within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0045] Step 108: The second signal vector is adjusted by a forward filter to obtain a nonlinear precoding signal vector.

[0046] Step 110, calibrate and optimize the 5G new wireless signal to be sent according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain a sending signal.

[0047] In the above-mentioned 5G new wireless signal optimization method based on nonlinear precoding, first, the pre-filtering process can filter out the high-frequency components and noise in the signal and enhance the clarity and stability of the signal. The filter vector generated by the pre-filtering process can effectively reduce unnecessary interference, thereby improving the anti-interference ability of the signal. Next, a preset disturbance vector is added to simulate the interference factors in a complex wireless environment so that the system pre-adjusts the signal before actual transmission. This pre-adjustment can improve the adaptability and anti-interference ability of the signal in a real interference environment. The adjustment step of the modulus feedback filter further adjusts each element of the signal to a preset modulus range to prevent the signal from being too strong or too weak, ensuring that the signal is more stable during transmission and is not easily interfered with. This step is designed to enhance the anti-interference ability and stability of the signal. In order to improve the spectrum efficiency, the technical solution introduces forward filter adjustment. The forward filter optimizes the spectrum characteristics of the signal so that the signal can transmit more information within limited spectrum resources, thereby improving the spectrum utilization. Nonlinear precoding technology pre-processes the signal at the transmitting end, making it easier for the receiving end to decode and restore, reduce the bit error rate, and improve the transmission efficiency. This technology greatly improves the efficiency of spectrum utilization. In addition, although accurate channel state information is very important for optimizing signal transmission, this solution reduces the dependence on real-time accurate channel state information to a certain extent through multiple processing steps such as pre-filtering, perturbation vector and modulus feedback filtering. The system calibrates and optimizes the signal through the filter vector, nonlinear precoding signal vector and channel state information obtained in real time, and dynamically adjusts the transmitted signal to adapt to the current channel environment. This dynamic adjustment mechanism reduces the dependence on accurate channel state information and improves the robustness of the system. In general, through the application of pre-filtering and modulus feedback filters, the signal has been multi-optimized before transmission, reducing the interference effect in the actual environment and significantly improving the anti-interference ability. The use of forward filters and nonlinear precoding technology enables the signal to transmit more information when the spectrum resources are limited, thereby improving the spectrum utilization. The integration of multiple signal processing steps enables the system to effectively adjust signal transmission even in the absence of accurate channel state information, ensuring the stability and efficiency of signal transmission, thereby significantly improving system performance.

[0048] In one embodiment, a 5G new wireless signal to be sent is obtained, and after encoding the 5G new wireless signal to be sent using a low-density parity check, the encoded 5G new wireless signal to be sent is processed by 64-QAM modulation to obtain a signal to be estimated. The signal to be estimated is pre-filtered after channel estimation to obtain a filter vector.

[0049] It is worth noting that the core of the signal preprocessing stage is to use advanced signal analysis technology to accurately identify and correct non-ideal characteristics, noise, interference and signal distortion in the original signal. By using adaptive filtering technology and signal reconstruction algorithms, this stage not only makes basic amplitude and frequency adjustments to the signal, but also automatically adjusts the processing parameters according to the statistical characteristics of the signal to adapt to the complex transmission environment. In addition, signal preprocessing also includes preliminary morphological adjustments to the signal, providing an ideal signal morphology for efficient execution of the nonlinear precoding stage.

[0050] In one of the embodiments, the signal to be estimated is channel estimated based on the response channel state information measured by the standard pilot signal at the receiving end to obtain the signal to be processed; after the amplitude and phase of the signal to be processed are processed by pre-distortion, pre-filtering is performed, and a filter is used to match the bandwidth of the signal to be processed and the frequency of the communication system to obtain a filter vector.

[0051] It is worth noting that when entering the nonlinear precoding stage, especially using Tomlinson-Harashima precoding technology (THP), this technology uses an innovative nonlinear processing mechanism to deeply optimize the characteristics of the preprocessed signal. THP precoding not only adjusts its coding strategy according to the output of signal preprocessing, but also uses a dynamically adjusted feedback system to monitor the signal quality during the coding process in real time and automatically adjust the nonlinear coding parameters to offset the errors and interference introduced by the channel. This dynamic adaptive coding method significantly improves the robustness and transmission quality of the signal.

[0052] In one of the embodiments, a sphere decoding technique is used to determine a preset disturbance vector.

[0053] It is worth noting that, through accurate perturbation vector calculation and optimized power control strategy, the present invention can significantly reduce the required total transmission power. Compared with the prior art, this can not only reduce energy consumption but also improve energy efficiency, which is particularly important in mobile communication devices with limited power resources.

[0054] In one of the embodiments, a second signal vector is obtained by using a feedback mechanism through a modulus feedback filter to adjust each element in the first vector within a preset modulus range.

[0055] It is worth noting that in the precoding technology stage, the system uses module continuous rectification technology and forward filtering adjustment to refine the power distribution and spectral characteristics of the signal. In this stage, it not only relies on the output of nonlinear precoding to adjust the spectrum usage and power efficiency of the signal, but also realizes real-time optimization of the signal through close data interaction with the nonlinear precoding stage. The forward filtering adjustment is specifically optimized for the spectral characteristics of the coded signal to maximize the spectral efficiency and reduce the out-of-band radiation of the signal.

[0056] In one of the embodiments, the 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time, so that the 5G new wireless signal to be sent can complete signal modulation and coding in the communication channels corresponding to different user terminals to obtain a transmission signal.

[0057] It is worth noting that through advanced pre-distortion and channel estimation technology, the impact of the channel, such as multipath fading and shadowing effects, can be compensated more accurately, ensuring the stability and reliability of the signal in complex environments and reducing the bit error rate during data transmission.

[0058] In one of the embodiments, the channel signal-to-noise ratio of the communication channel corresponding to each user terminal is obtained, and a channel quality index is formulated according to the numerical range of the channel signal-to-noise ratio. The channel quality index includes: high-quality channel, medium-quality channel and low-quality channel. The channel quality index at the current moment is obtained according to the channel state information at the current moment. If the channel quality index at the current moment is a high-quality channel, high-order modulation and high-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a medium-quality channel, medium-order modulation and medium-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a low-quality channel, low-order modulation and low-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal.

[0059] It is worth noting that the channel quality indicator, signal-to-noise ratio (SNR), is collected from each user end. Assume that the SNR of user 1 is 25dB, the SNR of user 2 is 15dB, and the SNR of user 3 is 10dB. According to the SNR value, the system classifies the channel quality into high, medium, and low. SNR ≥ 20db is a high-quality channel, suitable for high-order modulation. 10dB ≤ SNR < 20dB is a medium-quality channel suitable for medium-order modulation. SNR < 10dB is a low-quality channel, and low-order modulation should be used. User 1 (high-quality channel): Select 256-QAM, which can provide the maximum data transmission rate under high channel quality. User 2 (medium-quality channel): Select 64-QAM, which is suitable for medium channel quality and guarantees a good error rate and data rate. User 3 (low-quality channel): Select QPSK, because the low SNR value requires stronger signal robustness to reduce the error rate. Then adjust the coding rate accordingly. User 1: Use 3 / 4 LDPC coding to reduce coding redundancy to increase the data rate. User 2: Use 2 / 3 LDPC coding to balance coding redundancy and data rate. User 3: Use 1 / 2 LDPC coding to increase coding redundancy to provide maximum error correction capability. Based on the new modulation and coding settings, each user's signal is regenerated. User 1's bit stream 1101 is expanded by 3 / 4 LDPC coding and then converted to symbols by 256-QAM modulation. The same process is repeated for user 2 and user 3, but using their respective modulation and coding settings.

[0060] Finally, power adjustment and filtering are performed before the signal is transmitted, such as Figure 4As shown in the figure, after the adjustment, the 12+6j of user 1 is adjusted to 6+3j, the -6+14j of user 2 is adjusted to -3+7j, and the 3-8j of user 3 is adjusted to 1.5-4j. This step ensures that the transmitted signal does not exceed the power specification of the base station. After applying the Gaussian pre-filter, the signal is further optimized as follows: the 6+3j of user 1 is adjusted to 5.9+2.9j, the -3+7j of user 2 is adjusted to -2.9+6.8j, and the 1.5-4j of user 3 is adjusted to 1.4-3.9j. Pre-filtering reduces out-of-band radiation and optimizes the performance of the signal within the specified frequency band. After time synchronization and frequency correction, the signal is accurately sent, and the 5.9+2.9j of user 1, the -2.9+6.8j of user 2, and the 1.4-3.9j of user 3 are sent through the base station antenna array. Considering the gain and phase adjustment of the antenna, the signal may have slight changes. The signal of user 1 is adjusted to 6.0+3.0j. After transmission, the system monitors the performance of each signal. User 1's signal 6.0+3.0j may become 5.8+2.8j at the receiving end due to channel influence. The SNR detection result is 24dB and the bit error rate is 0.01%. Similarly, the signals of user 2 and user 3 are also monitored for performance, and changes and performance indicators are recorded. The system regularly collects performance data from the receiving end and analyzes the deviation between the actual performance of the signal and the expected target. The actual bit error rate of user 2's signal exceeds expectations. Based on the collected data, it is found that the bit error rate of user 2 is too high, so the power of its signal may be increased or its modulation method may be adjusted, and the power of -2.9+6.8j is increased by 10% from the original setting to -3.2+7.5j.

[0061] In one embodiment, if Figure 2 As shown, a signal preprocessing process is provided, which specifically includes the following contents:

[0062] Getting Started: Signal Preprocessing: The initial phase involves preprocessing the raw 5G new wireless signal to prepare for the subsequent coding and modulation steps. Preprocessing may include signal amplification, noise removal, and other basic signal adjustments to ensure signal quality.

[0063] LDPC Coding: After the initial processing, the signal will enter the LDPC coding stage. LDPC (Low-Density Parity Check Code) is an efficient error correction coding technology that can significantly improve the reliability of data transmission. This coding helps reduce errors and packet loss during signal transmission.

[0064] 64-QAM modulation: The coded signal is modulated by 64-QAM (64-order quadrature amplitude modulation). This step uses different amplitude and phase combinations to encode the signal to transmit more information in limited spectrum resources while optimizing the signal's transmission distance and rate.

[0065] Channel estimation: Channel estimation is performed after signal modulation. This step is crucial because it involves analyzing and predicting the path loss, attenuation, and multipath effects that the signal encounters during actual transmission. Correct channel estimation can significantly improve the accuracy of signal processing.

[0066] Pre-distortion processing: Pre-distortion processing is performed based on the results of channel estimation. This step mainly involves making necessary adjustments to the signal to compensate for signal distortion and nonlinear distortion caused by channel characteristics, thereby optimizing the signal quality at the receiving end.

[0067] Pre-filtering: Before the signal is ready to be sent, it will be pre-filtered. This step is mainly to perform the final filtering on the signal to remove possible interference and optimize the spectrum efficiency of the signal to ensure that the signal has the best transmission performance when it is transmitted.

[0068] End: The signal is ready to be sent: After the above steps, the signal has been optimized and is ready to be sent. This series of optimization measures ensures that the signal has higher transmission efficiency and lower bit error rate in complex wireless environments.

[0069] Through a series of optimization steps, the signal quality is improved and the transmission efficiency is increased. The whole process involves signal acquisition, coding, modulation, channel estimation and preprocessing, and finally the application of nonlinear precoding is completed to adapt to complex communication environments.

[0070] In one embodiment, if Figure 3 As shown in the figure, a nonlinear precoding processing flow is provided, showing the meticulous optimization process of the 5G new wireless signal through nonlinear precoding technology, starting with the precise adjustment of the original signal to adapt to the subsequent advanced processing requirements. The signal is first subjected to vector perturbation (VP) processing. This step simulates potential interference, multipath effects and nonlinear distortion in complex transmission environments by introducing perturbation vectors. These perturbations are used to test the stability of the signal and enhance its adaptability and robustness in the face of environmental variations. In addition, the parameter amplitude and phase of the perturbation vector are precisely adjusted to ensure that they can effectively simulate the expected interference effects, thereby providing an additional layer of protection for the signal in practical applications.

[0071] The demodulation signal synchronization stage is a key part of this optimization process. The signal needs to be accurately synchronized with the demodulator of the receiving device. This includes calibrating the time and phase of the signal to ensure the integrity of the signal during the demodulation process. After synchronization, the signal is further fine-tuned through the least square error prediction (IP&SD). This technology uses an iterative algorithm to dynamically adjust its transmission parameters according to the actual performance of the signal during transmission to minimize the transmission error and optimize the overall transmission quality of the signal. The successful execution of this step is crucial to reducing the overall bit error rate and improving the reliability of data transmission.

[0072] After the signal is preprocessed and synchronized, the Tomlinson-Harashima precoding (THP) technology is used to perform nonlinear precoding on the signal, which is an advanced step in the optimization process. THP technology is particularly suitable for dense signal environments. Through nonlinear processing, it effectively reduces interference between signals and improves the decodability of the signal. Next, the module continuous rectification technology is used to optimize the signal waveform, maintain its structural integrity during transmission, and avoid signal distortion caused by amplitude and phase errors. Finally, the signal is spectrum optimized through the forward filter and the power allocation is adjusted to ensure that the signal is sent in the optimal state within the specified transmission standard, so as to achieve the goal of efficient and stable transmission.

[0073] Signal generation and coding: Assume that the original bit streams of the three users are: 1101' for user 1, '1010' for user 2, and '11110' for user 3. After LDPC coding, the generated coding sequences are expanded to 128-bit coded data respectively.

[0074] Modulation processing: Use 64-QAM modulation to convert every 6 bits into one symbol. '110110' is mapped to a specific symbol point in the 64-QAM modulation table, and the modulated symbol vector is s = [s1, s2, s3] T , where s1=5+3j, s2=-3+7j, s3=2-4j (j is an imaginary unit).

[0075] Perturbation vector (VP) calculation process: Determine the perturbation vector P to reduce the total transmission power and reduce interference. Use sphere decoding technology to calculate the optimal perturbation vector, select p = [-1, +1, -1] T To minimize the energy, the updated signal vector x=s+p is [4+3j, -2+7j, 1-4j].

[0076] Precoding (THP) processing: Apply modulo feedback processing to each element of x. Assuming the modulus is 8, each element is adjusted to the nearest modulo 8 range. , x′1=(4+3j)mod 8=4+3j (the modulo operation is only applied to the real part). The precoded vector x′=[4+3j,-2+7j,1-4j] remains unchanged because all elements are already within the modulo 8 range.

[0077] Power adjustment: The maximum transmission power of the system is 10 units, and the current power P = |12+6j| 2 +|-6+14j| 2 +|3-8j| 2 =360+292+73=725, the signal needs to be scaled to meet the power limit, calculate the scaling factor Applied to x, we get the final transmitted signal vector.

[0078] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0079] In one embodiment, Figure 5 As shown, a 5G new wireless signal optimization device based on nonlinear precoding is provided, including: a filter vector acquisition module 502, a first signal vector acquisition module 504, a second signal vector acquisition module 506, a nonlinear precoding signal vector acquisition module 508 and an optimization module 510, wherein:

[0080] The filter vector acquisition module 502 is used to obtain the 5G new wireless signal to be sent, pre-filter the 5G new wireless signal to be sent, and obtain a filter vector.

[0081] The first signal vector acquisition module 504 is used to add a preset disturbance vector to the 5G new wireless signal to be sent to obtain a first signal vector.

[0082] The second signal vector acquisition module 506 is used to adjust each element in the first signal vector to be within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0083] The nonlinear precoding signal vector acquisition module 508 is used to adjust the second signal vector through a forward filter to obtain a nonlinear precoding signal vector.

[0084] The optimization module 510 is used to calibrate and optimize the 5G new wireless signal to be sent according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain a sending signal.

[0085] For the specific limitations of the 5G new wireless signal optimization device based on nonlinear precoding, please refer to the limitations of the 5G new wireless signal optimization method based on nonlinear precoding above, which will not be repeated here. Each module in the above-mentioned 5G new wireless signal optimization device based on nonlinear precoding can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0086] In one embodiment, a computer device is provided, which may be a server. The computer device includes a processor, a memory, a network interface, and a database connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store 5G new wireless signal optimization data based on nonlinear precoding. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a 5G new wireless signal optimization method based on nonlinear precoding is implemented.

[0087] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a 5G new wireless signal optimization method based on nonlinear precoding is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0088] Those skilled in the art will understand that Figure 5-6The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0090] The 5G new wireless signal to be sent is obtained, and the 5G new wireless signal to be sent is pre-filtered to obtain a filter vector.

[0091] A preset disturbance vector is added to the 5G new wireless signal to be sent to obtain a first signal vector.

[0092] Each element in the first signal vector is adjusted within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0093] The second signal vector is adjusted through a forward filter to obtain a nonlinear precoding signal vector.

[0094] The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the transmission signal.

[0095] In one embodiment, when the processor executes the computer program, the following steps are also implemented: obtaining the channel signal-to-noise ratio of the communication channel corresponding to each user terminal, and formulating a channel quality index according to the numerical range of the channel signal-to-noise ratio. The channel quality index includes: high-quality channel, medium-quality channel and low-quality channel. According to the channel state information at the current moment, the channel quality index at the current moment is obtained. If the channel quality index at the current moment is a high-quality channel, the 5G new wireless signal to be sent is respectively subjected to high-order modulation and a high-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a medium-quality channel, the 5G new wireless signal to be sent is respectively subjected to medium-order modulation and a medium-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a low-quality channel, the 5G new wireless signal to be sent is respectively subjected to low-order modulation and a low-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal.

[0096] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0097] The 5G new wireless signal to be sent is obtained, and the 5G new wireless signal to be sent is pre-filtered to obtain a filter vector.

[0098] A preset disturbance vector is added to the 5G new wireless signal to be sent to obtain a first signal vector.

[0099] Each element in the first signal vector is adjusted within a preset modulus range through a modulus feedback filter to obtain a second signal vector.

[0100] The second signal vector is adjusted through a forward filter to obtain a nonlinear precoding signal vector.

[0101] The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain the transmission signal.

[0102] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: the channel signal-to-noise ratio of the communication channel corresponding to each user terminal is obtained, and the channel quality index is formulated according to the numerical range of the channel signal-to-noise ratio. The channel quality index includes: high-quality channel, medium-quality channel and low-quality channel. According to the channel state information at the current moment, the channel quality index at the current moment is obtained. If the channel quality index at the current moment is a high-quality channel, the 5G new wireless signal to be sent is respectively subjected to high-order modulation and a high-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a medium-quality channel, the 5G new wireless signal to be sent is respectively subjected to medium-order modulation and a medium-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal; if the channel quality index at the current moment is a low-quality channel, the 5G new wireless signal to be sent is respectively subjected to low-order modulation and a low-proportion low-density parity check according to the filter vector and the nonlinear precoding signal vector, and the calibration optimization is completed to obtain the transmission signal.

[0103] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0104] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0105] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A 5G new wireless signal optimization method based on nonlinear precoding, characterized in that: The method comprises: Obtain a 5G new wireless signal to be sent, and pre-filter the 5G new wireless signal to be sent to obtain a filter vector; Adding a preset disturbance vector to the 5G new wireless signal to be sent to obtain a first signal vector; Adjusting each element of the first signal vector within a preset modulus range through a modulus feedback filter to obtain a second signal vector; The second signal vector is adjusted by a forward filter to obtain a nonlinear precoding signal vector; The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain a sending signal.

2. The method according to claim 1, characterized in that Acquire a 5G new wireless signal to be sent, and pre-filter the 5G new wireless signal to be sent to obtain a filter vector, including: Obtain a 5G new wireless signal to be sent, encode the 5G new wireless signal to be sent by using a low-density parity check, and process the encoded 5G new wireless signal to be sent by using 64-QAM modulation to obtain a signal to be estimated; The signal to be estimated is pre-filtered after channel estimation to obtain a filter vector.

3. The method according to claim 2, characterized in that The signal to be estimated is pre-filtered after channel estimation to obtain a filter vector, including: The signal to be estimated is channel estimated according to the response channel state information measured by the standard pilot signal at the receiving end to obtain the signal to be processed; after the amplitude and phase of the signal to be processed are processed by pre-distortion, pre-filtering is performed, and a filter is used to match the bandwidth of the signal to be processed with the frequency of the communication system to obtain a filter vector.

4. The method according to any one of claims 1 to 3, characterized in that: The sphere decoding technique is used to determine the preset disturbance vector.

5. The method according to claim 4, characterized in that The method adjusts each element of the first signal vector within a preset modulus range through a modulus feedback filter to obtain a second signal vector, including: A second signal vector is obtained by adjusting each element of the first vector within a preset modulus range through a modulus feedback filter using a feedback mechanism.

6. The method according to claim 5, characterized in that The method further comprises: calibrating and optimizing the 5G new wireless signal to be sent according to the filter vector, the nonlinear precoding signal vector, and the channel state information obtained in real time to obtain a sending signal, including: The 5G new wireless signal to be sent is calibrated and optimized according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time, so that the 5G new wireless signal to be sent can complete signal modulation and coding in the communication channels corresponding to different user terminals to obtain a sending signal.

7. The method according to any one of claims 5 to 6, characterized in that: Acquire a channel signal-to-noise ratio of a communication channel corresponding to each user terminal, and formulate a channel quality index according to a numerical range of the channel signal-to-noise ratio; the channel quality index includes: a high-quality channel, a medium-quality channel, and a low-quality channel; According to the channel state information at the current moment, the channel quality indicator at the current moment is obtained. If the channel quality indicator at the current moment is the high-quality channel, high-order modulation and high-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and calibration optimization is completed to obtain a sending signal; if the channel quality indicator at the current moment is the medium-quality channel, medium-order modulation and medium-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and calibration optimization is completed to obtain a sending signal; if the channel quality indicator at the current moment is the low-quality channel, low-order modulation and low-proportion low-density parity check are performed on the 5G new wireless signal to be sent according to the filter vector and the nonlinear precoding signal vector, and calibration optimization is completed to obtain a sending signal.

8. A 5G new wireless signal optimization device based on nonlinear precoding, characterized in that: The device comprises: A filter vector acquisition module is used to acquire a 5G new wireless signal to be sent, and pre-filter the 5G new wireless signal to be sent to obtain a filter vector; A first signal vector acquisition module is used to add a preset disturbance vector to the 5G new wireless signal to be sent to obtain a first signal vector; A second signal vector acquisition module, configured to adjust each element of the first signal vector to be within a preset modulus range through a modulus feedback filter to obtain a second signal vector; A nonlinear precoding signal vector acquisition module, configured to adjust the second signal vector through a forward filter to obtain a nonlinear precoding signal vector; The optimization module is used to calibrate and optimize the 5G new wireless signal to be sent according to the filter vector, the nonlinear precoding signal vector and the channel state information obtained in real time to obtain a sending signal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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