Communication perception integrated resource allocation method and device based on interference utilization

Abstract

The embodiment of the invention provides a communication perception integrated resource allocation method and device based on interference utilization. The method comprises the following steps: constructing a vehicle perception estimation model, and constructing expressions of distance estimation precision, angle estimation precision and perception estimation position coordinates based on a wireless perception principle; constructing a communication perception integrated Internet of Vehicles downlink transmission model under interference utilization; constructing an interference utilization model between communication and sensing integrated vehicles under interference utilization, and calculating a signal-to-noise ratio of a vehicle receiving signal in a communication mode and a signal-to-noise ratio of a vehicle receiving signal in a sensing mode; and calculating system throughput based on a result of vehicle information predicted by the vehicle perception estimation model under interference utilization and a reachable communication rate, constructing a resource allocation optimization problem by taking maximization of the system throughput as an optimization purpose, and generating a resource allocation strategy by adopting an optimization method. According to the technical scheme of the embodiment of the invention, interference resources are effectively utilized, and thus reasonable allocation of communication resources is ensured.

Description

Technical Field

[0001] The present application relates to the field of computer and communication technology, and in particular to a communication perception integrated resource allocation method and device based on interference utilization. Background Art

[0002] With the emergence of emerging applications such as autonomous driving and Internet of Things (IoT) services, communication-perception integrated networks have emerged. With the advantages of spectrum and hardware resource sharing and the mutual promotion of perception and communication, this communication-perception integrated network is expected to meet the needs of ubiquitous communication and high-precision sensing. However, spectrum sharing will cause mutual interference and thus lead to loss of system performance, which seriously affects the development of communication-perception integrated networks.

[0003] In the current technical solutions, most of them regard interference as a harmful factor, and use interference alignment and other means to overlap the interference at the receiving end through precoding technology, thereby compressing the signal capacity occupied by the interference and eliminating the impact of interference on the desired signal, so as to achieve the purpose of increasing the channel capacity. However, the above methods often sacrifice spectrum and energy efficiency, resulting in a certain waste of resources. Therefore, how to effectively utilize interference resources and ensure the reasonable allocation of communication resources has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present application provide a communication-aware integrated resource allocation method and device based on interference utilization, which can effectively utilize interference resources to at least a certain extent, thereby ensuring the reasonable allocation of communication resources.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0006] According to one aspect of an embodiment of the present application, a communication-aware integrated resource allocation method based on interference utilization is provided, including:

[0007] Construct a vehicle perception estimation model, and construct expressions for distance estimation accuracy, angle estimation accuracy, and perception estimation position coordinates based on wireless perception principles;

[0008] Constructing a vehicle network downlink transmission model with integrated communication and perception under interference utilization, wherein the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal;

[0009] Construct an interference utilization model between vehicles with integrated communication and perception under interference utilization, and calculate the signal-to-noise ratio of the vehicle receiving signal in the communication mode and the signal-to-noise ratio of the vehicle receiving signal in the perception mode;

[0010] Based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, the system throughput is calculated, and the resource allocation optimization problem is constructed with the optimization purpose of maximizing the system throughput;

[0011] In view of the resource allocation optimization problem, an optimization method is used to generate a resource allocation strategy.

[0012] According to one aspect of an embodiment of the present application, a communication-aware integrated resource allocation device based on interference utilization is provided, including:

[0013] The first building module is used to build a vehicle perception estimation model, and to build expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates based on wireless perception principles;

[0014] A second construction module is used to construct a vehicle network downlink transmission model with integrated communication and perception under interference utilization, wherein the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal;

[0015] The third building module is used to build an interference utilization model between vehicles with integrated communication and perception under interference utilization, and calculate the signal-to-noise ratio of the vehicle received signal in the communication mode and the signal-to-noise ratio of the vehicle received signal in the perception mode;

[0016] The fourth building module is used to calculate the system throughput based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, and to construct a resource allocation optimization problem with the optimization purpose of maximizing the system throughput;

[0017] The processing module is used to generate a resource allocation strategy by adopting an optimization method for the resource allocation optimization problem.

[0018] According to one aspect of an embodiment of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the communication-aware integrated resource allocation method based on interference utilization as described in the above embodiment is implemented.

[0019] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the communication-aware integrated resource allocation method based on interference utilization as described in the above embodiments.

[0020] According to one aspect of an embodiment of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the communication-aware integrated resource allocation method based on interference utilization provided in the above embodiment.

[0021] In the technical solutions provided in some embodiments of the present application, by constructing a vehicle perception estimation model, based on the wireless perception principle, an expression of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates is constructed, and a vehicle network downlink transmission model with integrated communication perception under interference utilization is constructed. The vehicle network downlink transmission model includes a communication perception integrated base station and at least one vehicle perception terminal. Then, an interference utilization model between vehicles with integrated communication perception under interference utilization is constructed, and the signal-to-noise ratio of the vehicle received signal in the communication mode and the signal-to-noise ratio of the vehicle received signal in the perception mode are calculated. Then, based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, the system throughput is calculated, and a resource allocation optimization problem is constructed with the optimization purpose of maximizing the system throughput. For the resource allocation optimization problem, an optimization method is used to generate a resource allocation strategy. Thus, by effectively utilizing constructive interference resources, it is possible to achieve resource sharing between communication links under minimized transmission power, improve resource utilization and communication system throughput, and ensure the rationality of communication resource allocation.

[0022] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0024] Figure 1 A schematic diagram of a flow chart of a communication-aware integrated resource allocation method based on interference utilization according to an embodiment of the present application is shown;

[0025] Figure 2 A block diagram of a communication-aware integrated resource allocation device based on interference utilization according to an embodiment of the present application is shown;

[0026] Figure 3A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0028] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0029] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0030] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0031] Figure 1 A flow chart of a communication-aware integrated resource allocation method based on interference utilization according to an embodiment of the present application is shown.

[0032] In one example, the method can be applied to a communication-perception integrated base station, which is a base station that integrates communication and perception functions. It can not only provide traditional wireless communication services (such as data transmission, voice communication, video streaming, etc., and support multiple wireless access technologies, including but not limited to 4G, 5G, LTE-V, DSRC, etc.), but also has the ability of environmental perception and information processing, that is, it can be equipped with a variety of sensors, such as radars, cameras, infrared sensors, lidars, etc., so as to monitor and perceive the surrounding environment in real time, including vehicles, pedestrians, obstacles and other important traffic elements.

[0033] In other examples, the method may also be applied to other electronic devices having functions such as information transmission, processing, and perception, and this application does not make any special limitations on this.

[0034] like Figure 1 As shown, the communication perception integrated resource allocation method based on interference utilization includes at least steps S110 to S150, which are described in detail as follows:

[0035] In step S110, a vehicle perception estimation model is constructed, and expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates are constructed based on the wireless perception principle.

[0036] In this embodiment, the vehicle perception estimation model can estimate the vehicle's position, speed, angle and other information through wireless signal processing and analysis, that is, by utilizing the wireless perception principle to construct mathematical expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates, thereby achieving accurate perception of the vehicle and its surrounding environment.

[0037] In one embodiment, a vehicle perception estimation model is constructed, and expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates are constructed based on wireless perception principles, including:

[0038] Transmitting a sensing signal to a target vehicle through an antenna of a communication sensing integrated base station, and receiving a sensing echo reflected by the target vehicle;

[0039] The sensing echo is processed and analyzed to determine the distance between the communication sensing integrated base station and the target vehicle, the angle of the target vehicle relative to the communication sensing integrated base station, information about the environment in which the target vehicle is located, and the relative distance between the target vehicle and other vehicles around it.

[0040] In this embodiment, the target vehicle can be any vehicle within the communication range of the communication sensing integrated base station. The communication sensing integrated base station sends a sensing signal to the target vehicle, and the target vehicle reflects these signals to form a sensing echo, which can be received by the antenna of the communication sensing integrated base station. After receiving the sensing echo signal, it can be processed first, such as filtering, demodulation, time delay estimation and other steps. Then the processed signal is analyzed to extract key information, such as the arrival time of the signal, signal strength and signal angle.

[0041] The actual distance between the target vehicle and the integrated communication and perception base station can be calculated by the delay time between the echo signal and the transmitted signal and the propagation speed of the electromagnetic wave in the air. The actual angle between the target vehicle and the base station antenna can be calculated by using the phase difference between the echo signals received by multiple antennas. Then, based on the actual distance and the distance estimation accuracy of the integrated communication and perception base station, the perception estimation distance corresponding to the target vehicle is determined, and based on the actual angle and the angle estimation accuracy of the integrated communication and perception base station, the perception estimation angle corresponding to the target vehicle is determined. Then, taking the position of the integrated communication and perception base station as the coordinate origin, the perception estimation position coordinates of the target vehicle are determined based on the perception estimation distance and the perception estimation angle.

[0042] In addition, by sensing the clutter in the target vehicle's environment, the environmental information around the target vehicle, such as the location of obstacles, can be obtained, and then it can be determined whether there are obstacles between the target vehicle and the interference vehicle. And through clutter estimation, it can be avoided that the subsequent reflected interference beam is affected by the surrounding environment and the strength of the beam is weakened.

[0043] In addition, based on the perceived estimated position coordinates corresponding to each vehicle, the relative distance between the target vehicle and other vehicles around it can also be determined for subsequent processing.

[0044] In step S120, a vehicle network downlink transmission model with integrated communication and perception under interference utilization is constructed, and the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal.

[0045] In this embodiment, the vehicle network downlink transmission model with integrated communication perception under interference utilization may include a communication perception integrated base station and at least one vehicle perception terminal, the at least one of which may be one, two or more, without any special limitation. According to the vehicle network downlink transmission model, the achievable communication rate between the vehicle and the base station link may be calculated.

[0046] It should be noted that, since there is a mutually beneficial relationship between the interferences between vehicles, a relay communication mode is adopted, that is, data is transmitted to a designated vehicle, and the vehicle indirectly transmits the data to the target vehicle.

[0047] In one example, the kth mobile vehicle ve that needs task offloading k The transmission rate between the base station b and the base station covering the kth mobile vehicle can be expressed as:

[0048]

[0049] CI 2 +DI 2 =I2 (4)

[0050]

[0051] Where W is the transmission bandwidth, SINR CI Pve is the communication signal-to-interference-to-noise ratio under interference; k for k The transmission power, h is ve k The channel gain between b and d is ve k The distance from b, α is the path loss exponent, σ 2 is the power of additive white Gaussian noise; is the specific expression of the communication channel, is the specific expression of the perceived channel, which is used to calculate the signal-to-noise ratio and interference power; CI is ve k With ve i The constructive part of the interference between them, that is, the vector component along the target direction, DI is e k With ve i The destructive part of the interference between (DI can be converted to CI by precoding), that is, the vertical component along the target direction, G t and G c is the antenna gain of the transmitter and receiver, λ is the antenna wavelength, G τ is the gain of the radar receiver, σ is the radar cross section parameter, s is the time slot, ρ com is the communication channel coefficient, ρ rad is the perceptual channel coefficient.

[0052] Please continue to refer to Figure 1 In step S130, an interference utilization model between vehicles with integrated communication and perception under interference utilization is constructed to calculate the signal-to-noise ratio of the vehicle received signal in the communication mode and the signal-to-noise ratio of the vehicle received signal in the perception mode.

[0053] It should be understood that in different time slots, when a single communication or perception function is implemented, the expression of the signal to interference and noise ratio is the same, that is, the communication and perception functions are distinguished by different time slots, wherein the channel gains of communication and perception are different.

[0054] In one embodiment, the communication awareness integrated resource allocation method based on interference utilization further includes:

[0055] In the vehicle radar perception process, according to the vehicle perception estimation model, for the target vehicle, on the basis of satisfying the perception performance index of the target vehicle, at least some vehicles located around the target vehicle are selected as interference utilization vehicles, and the reflected radar interference signals of the interference utilization vehicles are used as useful interference signals;

[0056] The vehicle perception estimation model is used to predict other vehicles located around the target vehicle at the next time slot to adjust the interference utilizing vehicle and the corresponding reflected radar interference signal.

[0057] In this embodiment, during the vehicle radar perception process, according to the vehicle perception estimation model, for the target vehicle, on the basis of satisfying the CRB of the target vehicle, at least some of the vehicles around the target vehicle are selected as interference utilization vehicles, and the reflected radar interference signals of the interference utilization vehicles are useful interference, which is used to improve the radar signal to noise ratio of the target vehicle. At the same time, in the next time slot, the vehicle perception estimation model is used to predict other vehicles around the target vehicle in the next time slot, so as to adjust the selected interference utilization vehicles and adjust the corresponding reflected radar beams to ensure the stability and consistency of the relative distance and angle between the target vehicle and the interference utilization vehicle, so that the radar signal to noise ratio of the target vehicle in the next time slot can be effectively improved.

[0058] In one embodiment, when selecting an interference utilizing vehicle, the process includes:

[0059] From other vehicles within the sight range of the target vehicle, a reflected radar interference signal with the same perception angle as the target vehicle is selected as a useful interference signal, wherein the search for the interference utilizing vehicle is stopped when the number of interference utilizing vehicles reaches a threshold, when the signal-to-noise ratio of the target vehicle reaches a predetermined requirement and / or when the search time exceeds a certain duration.

[0060] In this embodiment, line of sight (LOS) refers to a straight path between two objects without any obstructions, that is, the signal can be directly transmitted from the transmitter to the receiver without being blocked by obstacles. According to the relative distance between the target vehicle and other vehicles located around it, other vehicles located within the line of sight of the target vehicle can be determined. Other vehicles within the line of sight of the target vehicle are searched. It should be noted that searching within the line of sight of the target vehicle can reduce the size of the beam amplitude weakened by the environmental occlusion of the interference utilizing vehicle determined subsequently.

[0061] If the reflected radar interference signal of another vehicle has the same perception angle as the target vehicle, it can be determined as an interference-using vehicle, and the reflected radar interference signal of the interference-using vehicle is a useful interference signal. When selecting an interference-using vehicle, the perception performance indicators of other vehicles should not be affected while partially reducing the reflected perception clutter of other vehicles around, that is, the reflected radar interference signal that is consistent with the perception angle of the target vehicle should be selected as much as possible, and the reflected radar interference signal that is orthogonal to the perception angle of the target vehicle should be reduced.

[0062] Moreover, during the search process, if the number of interference-utilizing vehicles determined in advance has reached a predetermined threshold, when the signal-to-noise ratio of the target vehicle reaches a predetermined requirement (i.e. reaches a certain threshold) and / or when the search time exceeds a certain period of time, the search for interference-utilizing vehicles can be stopped, thereby effectively reducing the computational complexity and transmission power.

[0063] It should be noted that the “and / or” mentioned in this application means that the above three conditions can be used separately or in combination, and this application does not make any special limitation on this.

[0064] In one example, the environmental clutter may also be orthogonally decomposed along the communication beam direction of the target vehicle, and the clutter may be utilized in the communication signal-to-interference-noise ratio of a pair of orthogonal vehicles, thereby making full use of the environmental clutter.

[0065] Please continue to refer to Figure 1 In step S140, based on the results of vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, the system throughput is calculated, and a resource allocation optimization problem is constructed with the optimization purpose of maximizing the system throughput.

[0066] In this embodiment, for the current target vehicle, in order to achieve a reasonable allocation of communication and perception resources, the common communication and perception signal-to-interference-noise ratio of other vehicles around the target vehicle can be considered, that is, for the throughput or QoS of the entire system, through a vehicle network resource allocation method based on graph theory, using interference beam multiplexing, and jointly considering vehicle trajectories and perception weights of unused vehicles, while ensuring the reliability of the vehicle link, the distributed robustness of the entire vehicle network system is improved, the downlink throughput is improved, and then the communication and perception resources of the entire system are rationally allocated.

[0067] Its goal is to achieve an improvement in system gain within a certain transmission power requirement, that is, an improvement in throughput and an improvement in the system's environmental perception accuracy. Therefore, the system throughput can be calculated based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, and the resource allocation optimization problem is constructed with maximizing the system throughput as the optimization goal, where the vehicle information may include but is not limited to the distance between the target vehicle and the interference-utilizing vehicle and the beam angle of the interference-utilizing vehicle relative to the communication-perception integrated base station and the target vehicle.

[0068] Specifically, first, a sensing signal is sent to the target vehicle through the communication sensing integrated base station and its reflected echo is received. By processing and analyzing the echo, the system can obtain the key position parameters of the vehicle, such as distance, angle, etc. The distance and angle estimation are obtained by calculating the time delay and phase difference, and based on the historical position information and motion trajectory of the vehicle, a motion model (such as Kalman filtering or deep learning prediction model) is used to dynamically predict the position and posture of the vehicle at future moments. When predicting the next time slot, the information of other surrounding vehicles is updated based on the vehicle's motion trajectory and distance model to provide a reference for the interference selection of the next time slot. In this way, the selection of interfering vehicles can be dynamically adjusted to ensure the real-time use of system interference.

[0069] For each vehicle that is task-offloaded, the communication signal-to-interference-to-noise ratio (SINR) is calculated in the channel model. SINR is affected by factors such as transmission bandwidth, interference utilization signal, and noise power:

[0070]

[0071] Where: P t is the transmit power; h is the channel gain; N0 is the Gaussian white noise power; I represents the destructive interference part, which can be adjusted to a beneficial interference component through precoding.

[0072] Based on Shannon's law, the achievable communication rate between the vehicle and the base station is calculated:

[0073] R = W·log2(1+SINR CI ) (7)

[0074] This formula determines the data transmission rate between the base station and each vehicle, and can be dynamically adjusted to match changes in system load and vehicle speed.

[0075] Single-vehicle system throughput: The individual throughput of each vehicle is the achievable communication rate of the vehicle, while taking into account the interference effects of other vehicles.

[0076] For multi-vehicle interference scenarios, the total system throughput can be expressed as the sum of the throughputs of each vehicle:

[0077]

[0078] When calculating the system throughput, the goal is to maximize the system throughput. Through resource allocation optimization (such as resource allocation methods based on graph theory), the rational allocation of resources between vehicles is guaranteed, and the reasonable coverage of channels and interference beams in space is ensured, thereby improving the overall system throughput and resource utilization efficiency.

[0079] It should be noted that for a single target vehicle, due to the existence of interference utilization, fewer communication resources can be used under the required target signal-to-noise ratio, thereby reducing the overhead of communication resources; on the other hand, due to the reduction in communication resources, more perception resources can be used on the target vehicle, thereby obtaining the perception accuracy of more vehicles, that is, the improvement of perception accuracy can obtain more CSI information, thereby making the estimation of the communication channel more accurate, achieving a trade-off between communication and perception.

[0080] For multi-target vehicles, on the one hand, the existence of interference utilization can effectively improve the utilization rate of resources, that is, reduce the interference resources that were originally considered as interference and convert them into useful power for other vehicles; on the other hand, through interference utilization, the interference between each vehicle can be coordinated to a certain extent, which can improve the collaborative communication and perception capabilities between vehicles and improve the system gain.

[0081] In one example, assume that in a connected vehicle environment, a communication and sensing integrated base station needs to communicate with multiple vehicles at the same time. Each vehicle is equipped with a sensing device (such as radar) to sense neighboring vehicles and transmit sensing data in the downlink. The communication resources and interference environment between the base station and the vehicle will change dynamically as the vehicle moves, so it is necessary to optimize system resources to maximize throughput and reliability.

[0082] Assume that there are five vehicles (C1, C2, C3, C4, C5) and a communication sensing integrated base station (B) in this scene. C1 and C2 are within the line of sight of the base station, while C3, C4, and C5 are partially blocked. The base station obtains the dynamic information of each vehicle through real-time monitoring and echo processing.

[0083] Using the link between the base station and C1 and C2 (within the line of sight), the base station can directly obtain the channel parameters by sensing the echo. The interference signal utilization of C3, C4, and C5 requires the reflection information.

[0084] Based on interference alignment and constructive interference conversion, the interference signals of C1 and C2 to the base station are converted into constructive interference beneficial to the base station through precoding, thereby improving the signal-to-noise ratio of C1 and C2.

[0085] For non-line-of-sight vehicles of C3, C4, and C5, the interference signals with the same perception angle are selected for decomposition, and the interference at the line-of-sight angle is converted into beneficial signals to improve channel utilization.

[0086] Using the above SINR formula, the base station calculates the channel for each vehicle separately. Assume that the transmission bandwidth W = 20MHz and the vehicle transmission power Pt = 0.1W.

[0087] For C1 and C2:

[0088]

[0089] R C1 =W·log2(1+SINR C1 )

[0090] For C3, C4, and C5, the SINR and communication rate are calculated respectively, and the effective communication rate of their channels is improved by adjusting their constructive interference components.

[0091] Optimizing system throughput:

[0092] System optimization goal: maximize

[0093] By optimizing resource allocation, the base station allocates resources reasonably according to the location and interference of each vehicle. More resources are allocated to C1 and C2 first (because their channel quality is high within the line of sight range), and the interference temperature is adjusted for C3, C4, and C5, and the interference utilization vehicles are selected and the number of interferences is limited to reduce resource consumption and computational complexity.

[0094] Graph theory resource allocation: A graph theory model is used to regard vehicles as nodes, and edge weights are used to represent the link signal-to-noise ratio. The maximum flow algorithm is used to optimize the resource allocation path to ensure that the throughput of each vehicle is maximized while meeting the reliability of communication and perception.

[0095] By optimizing resource allocation, the base station allocates resources reasonably according to the location and interference of each vehicle. More resources are allocated to C1 and C2 first (because their channel quality is high within the line of sight range), and the interference temperature is adjusted for C3, C4, and C5, and the interference utilization vehicles are selected and the number of interferences is limited to reduce resource consumption and computational complexity.

[0096] Graph theory resource allocation: A graph theory model is used to regard vehicles as nodes, and edge weights are used to represent the link signal-to-noise ratio. The maximum flow algorithm is used to optimize the resource allocation path to ensure that the throughput of each vehicle is maximized while meeting the reliability of communication and perception.

[0097] In this way, through this resource allocation and interference utilization scheme, C1 and C2 obtain a higher signal-to-noise ratio, and the interference signals of C3, C4, and C5 are effectively utilized, ultimately improving the overall throughput and communication efficiency of the system. In a dynamic environment, the system can adjust the interference temperature and resource allocation according to the location information and perception data of each vehicle, ensuring the real-time and stability of the entire Internet of Vehicles system.

[0098] Please continue to refer to Figure 1 In step S150, an optimization method is used to generate a resource allocation strategy for the resource allocation optimization problem.

[0099] In this embodiment, for the resource allocation problem, an optimization method is used to generate a resource allocation strategy, and the optimization method may include but is not limited to a graph theory-based method, a matching algorithm, or reinforcement learning, etc. The communication and perception resource allocation is performed by the communication and perception integrated base station according to the coordination of interference utilization between multiple vehicles, and the surrounding interference is effectively utilized on the basis of giving priority to satisfying CRB to achieve the improvement of communication signal-to-noise ratio, minimize the energy consumption of the base station, and achieve the coordinated gain of the system, that is, the more interference, the better the coordinated effect, and jointly improve the system gain, which can realize interference reuse, that is, realize the interference utilization gain of multi-point coordination.

[0100] In some embodiments of the present application, it also includes:

[0101] For the communication and perception beams of the target vehicle, the relative positions of other vehicles around the target vehicle and the target vehicle are determined through vector modeling and environmental perception;

[0102] Based on the constraints of system throughput and interference beam strength, determine the location information of the target interference utilization point, and search for interference utilization vehicles within a predetermined range of the target utilization point;

[0103] The reflected radar jamming signal of the selected jamming vehicle is orthogonally decomposed along the target beam, and the beam in another direction is utilized on a vehicle orthogonal to the target vehicle to achieve the gain of improving the jamming utilization of multiple vehicles.

[0104] In this embodiment, by coordinating the interference beams between multiple vehicles, through vector modeling and environmental perception, it is possible to find a suitable interference utilization vehicle and improve the efficiency of interference utilization when the system achieves a certain throughput. In one example, a spatial coordinate system can be established with the target vehicle as the center, and the coordinates of other surrounding vehicles can be obtained through radar perception. The beam of a suitable interference utilization vehicle can be selected through the aforementioned interference utilization vehicle selection principle, and interference utilization can be achieved through precoding to improve the signal-to-interference-noise ratio of the target signal.

[0105] Specifically, a preliminary screening is first performed based on system throughput and interference intensity:

[0106] Throughput constraint: When initially screening interference utilization points, the system first calculates the achievable communication rate of each vehicle and ensures that the minimum system throughput requirement is met. The base station will select those vehicles that contribute more to the system throughput as potential interference utilization points.

[0107] Interference intensity screening: To reduce unnecessary calculations and signal attenuation, the system excludes vehicles that are subject to strong destructive interference in the preliminary screening, that is, only vehicles with high interference signal strength and positive contribution to the target vehicle's signal-to-noise ratio are retained.

[0108] Determine the location of the best interference utilization point:

[0109] Matching sight distance and perception angle: Select vehicles within the sight distance as priority interference utilization points. The base station analyzes the perception angles of the target vehicle and surrounding vehicles through the perception model, and gives priority to vehicles with the same perception angle as the target vehicle, ensuring that the interference signal has minimal loss on the transmission path.

[0110] Spatial orthogonal decomposition: After obtaining the candidate interference utilization point, the base station performs spatial orthogonal decomposition on the interference signal. The vector of the interference signal is decomposed along the beam direction of the target vehicle, and the component along the direction of the target vehicle is regarded as constructive interference. At the same time, the signal components in other directions are redistributed to neighboring vehicles at different angles to achieve gain support for multiple vehicles.

[0111] Optimization selection based on vehicle distance and channel gain:

[0112] Distance and channel gain calculation: When selecting interference utilization points, the system will give priority to vehicles with closer distances and higher channel gains to ensure effective signal transmission and interference utilization effects.

[0113] Set the distance threshold d th and the channel gain threshold h th , select the value that satisfies d<d th And h>h th vehicles as candidates.

[0114] Utilization of orthogonalized interference beams: For the selected vehicles, the base station will further orthogonalize their interference signals along the target beam direction, and use the components in other directions for signal transmission of other vehicles, further increasing the constructive interference ratio of the signal.

[0115] In some embodiments of the present application, it also includes:

[0116] Compare the currently available interference beam strength with a preset interference temperature threshold, and if it exceeds the interference temperature threshold, reduce the proportion of the interference utilization factor and increase the proportion of interference elimination;

[0117] The interference temperature threshold is dynamically adjusted according to target performance indicator factors.

[0118] In this embodiment, the interference beam strength refers to the beam strength consistent with the target vehicle perception angle after orthogonal decomposition, and the interference temperature at the receiver end is used to quantify and manage the interference source in the wireless communication environment. The currently available interference beam strength is compared with the preset interference temperature threshold. If the interference beam strength exceeds the interference temperature threshold, that is, the interference utilization affects the robustness of the system, the proportion of the interference utilization factor is reduced and the proportion of interference elimination is increased. It should be understood that the purpose is that the interference utilization cannot affect the reliability of transmission between vehicles and the real-time nature of data.

[0119] It should be noted that the interference utilization factor defines the extent to which the system treats the interference signal as a useful signal and utilizes it. Its functions include:

[0120] Adjusting the constructive use of interference signals: The interference utilization factor controls the processing ratio of interference signals and determines how much interference signals in the system will be converted into constructive interference (i.e., signals that are beneficial to the target vehicle).

[0121] Dynamically balance the robustness and efficiency of the system: Under different communication and perception task requirements, the interference utilization factor can be flexibly adjusted. When the system requires a high signal-to-noise ratio or strong communication reliability, the factor can be lowered to reduce dependence on interference signals, and vice versa, it can be increased to increase system throughput.

[0122] Control resource allocation priority: Factors can adjust the priority allocation direction of system resources by increasing or decreasing interference utilization, thereby improving resource utilization efficiency while ensuring reliability.

[0123] When reducing the interference utilization factor, the system will reduce the proportion of the interference signal used as constructive interference, which will lead to the following results:

[0124] Reduced reliance on interference signals: The reduction factor means that when the system receives an interference signal, it is more likely to regard it as destructive interference, so it will take proactive measures to reduce the negative impact of the interference signal on communication. Such measures can include interference alignment, filtering, and interference suppression techniques such as precoding.

[0125] Increase resources and strategies for interference cancellation: As the interference utilization factor decreases, the system allocates more computing and resources to the interference cancellation strategy to suppress interference signals that have a negative impact on the system. For example, by adjusting the beam direction and alignment, the interference signals can be superimposed without affecting the quality of the target signal, thereby effectively improving the communication reliability of the system.

[0126] Improve system robustness: When the interference signal strength is too large or the dynamic environment is complex, reducing the interference utilization factor can help the system better cope with the complex interference environment and ensure the stability and security of the communication link.

[0127] In addition, based on target performance indicator factors such as the quality of service of system tasks, communication signal-to-interference-to-noise ratio, and perception performance indicators, the interference temperature threshold can be dynamically adjusted to better balance the reliability and timeliness of data transmission. For example, when the security weight of a data file is high, the current interference temperature threshold can be adjusted, that is, from the perspective of system stability, the proportion of interference utilization can be reduced, and then more interference elimination and other means can be used to achieve secure data transmission; on the contrary, when the data file has high requirements for timeliness, the relevant proportion of interference utilization can be increased by adjusting the interference temperature threshold, so as to ensure the timeliness of data transmission as much as possible.

[0128] In one example, based on different modulation methods adopted by the receiver, multiple interference temperature thresholds can be set to adapt to the corresponding system signal-to-interference-noise ratio requirements, thereby effectively achieving the minimum signal-to-interference-noise ratio requirement under the required system throughput and improving the receiver's sensitivity to interference utilization.

[0129] Therefore, based on the aforementioned embodiments, the communication perception integrated resource allocation method based on interference utilization provided by the present application can utilize the communication interference between vehicles of the same frequency to effectively improve the signal-to-noise ratio of the received signal. On this basis, the vehicle position information is estimated and predicted through the wireless perception capability, thereby dynamically adjusting the beam angle of the transmitter, thereby realizing the sharing of resources between communication links under the condition of minimizing the transmission power, improving resource utilization and communication system throughput, reflecting the idea of ​​green communication, and optimizing the perception and communication signal-to-noise ratio model.

[0130] Moreover, by coordinating the interference beams between multiple vehicles and through vector modeling, it is possible to find the vehicle and interference beam that best utilizes the interference for the current target vehicle while achieving a certain system throughput, thereby improving the effectiveness of interference utilization and interference coordination between multiple vehicles.

[0131] Furthermore, by setting the interference temperature threshold, according to the weights of the reliability and timeliness of different data files and the restrictions of system indicators such as communication and perception, a dynamic and reliable interference temperature threshold can be set, so as to more flexibly realize the concept of interference utilization in system resource scheduling. On the other hand, by setting different multi-threshold sensitivities for different modulation methods, a flexible interference control mechanism can be realized.

[0132] The following describes an apparatus embodiment of the present application, which can be used to execute the communication perception integrated resource allocation method based on interference utilization in the above-mentioned embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, please refer to the embodiment of the communication perception integrated resource allocation method based on interference utilization in the above-mentioned embodiment of the present application.

[0133] Figure 2A block diagram of a communication-aware integrated resource allocation device based on interference utilization according to an embodiment of the present application is shown.

[0134] Reference Figure 2 As shown, according to an embodiment of the present application, a communication-aware integrated resource allocation device based on interference utilization includes:

[0135] The first building module is used to build a vehicle perception estimation model, and to build expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates based on wireless perception principles;

[0136] A second construction module is used to construct a vehicle network downlink transmission model with integrated communication and perception under interference utilization, wherein the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal;

[0137] The third building module is used to build an interference utilization model between vehicles with integrated communication and perception under interference utilization, and calculate the signal-to-noise ratio of the vehicle received signal in the communication mode and the signal-to-noise ratio of the vehicle received signal in the perception mode;

[0138] The fourth building module is used to calculate the system throughput based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, and to construct a resource allocation optimization problem with the optimization purpose of maximizing the system throughput;

[0139] The processing module is used to generate a resource allocation strategy by adopting an optimization method for the resource allocation optimization problem.

[0140] In some embodiments of the present application, a vehicle perception estimation model is constructed, and expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates are constructed based on the wireless perception principle, including:

[0141] Transmitting a sensing signal to a target vehicle through an antenna of a communication sensing integrated base station, and receiving a sensing echo reflected by the target vehicle;

[0142] Process and analyze the sensing echo to determine the distance between the communication sensing integrated base station and the target vehicle, the angle of the target vehicle relative to the communication sensing integrated base station, information about the target vehicle's environment, and the relative distance between the target vehicle and other vehicles around it

[0143] In some embodiments of the present application, the processing module is further configured to:

[0144] In the vehicle radar perception process, according to the vehicle perception estimation model, for the target vehicle, on the basis of satisfying the perception performance index of the target vehicle, at least some vehicles located around the target vehicle are selected as interference utilization vehicles, and the reflected radar interference signals of the interference utilization vehicles are used as useful interference signals;

[0145] The vehicle perception estimation model is used to predict other vehicles located around the target vehicle at the next time slot to adjust the interference utilizing vehicle and the corresponding reflected radar interference signal.

[0146] In some embodiments of the present application, when selecting an interference utilization vehicle, it includes:

[0147] From other vehicles within the sight range of the target vehicle, a reflected radar interference signal with the same perception angle as the target vehicle is selected as a useful interference signal, wherein the search for the interference utilizing vehicle is stopped when the number of interference utilizing vehicles reaches a threshold, when the signal-to-noise ratio of the target vehicle reaches a predetermined requirement and / or when the search time exceeds a certain duration.

[0148] In some embodiments of the present application, the processing module is further configured to:

[0149] For the communication and perception beams of the target vehicle, the relative positions of other vehicles around the target vehicle and the target vehicle are determined through vector modeling and environmental perception;

[0150] Based on the constraints of system throughput and interference beam strength, determine the location information of the target interference utilization point, and search for interference utilization vehicles within a predetermined range of the target utilization point;

[0151] The reflected radar jamming signal of the selected jamming vehicle is orthogonally decomposed along the target beam, and the beam in another direction is utilized on the vehicle orthogonal to the target vehicle to improve the gain of multi-vehicle jamming utilization.

[0152] In some embodiments of the present application, the processing module is further used to: compare the currently available interference beam strength with a preset interference temperature threshold, and if it exceeds the interference temperature threshold, reduce the proportion of the interference utilization factor and increase the proportion of interference elimination;

[0153] The interference temperature threshold is dynamically adjusted according to target performance indicator factors.

[0154] Figure 3 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0155] It should be noted that Figure 3The computer system of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0156] like Figure 3 As shown, the computer system includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. In RAM 303, various programs and data required for system operation are also stored. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0157] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0158] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, various functions defined in the system of the present application are executed.

[0159] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, - but not limited to - an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0160] The flowchart and block diagram in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0161] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0162] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0163] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0164] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0165] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0166] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A communication perception integrated resource allocation method based on interference utilization, characterized in that: include: Construct a vehicle perception estimation model, and construct expressions for distance estimation accuracy, angle estimation accuracy, and perception estimation position coordinates based on wireless perception principles; Constructing a vehicle network downlink transmission model with integrated communication and perception under interference utilization, wherein the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal; Construct an interference utilization model between vehicles with integrated communication and perception under interference utilization, and calculate the signal-to-noise ratio of the vehicle receiving signal in the communication mode and the signal-to-noise ratio of the vehicle receiving signal in the perception mode; Based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, the system throughput is calculated, and the resource allocation optimization problem is constructed with the optimization purpose of maximizing the system throughput; In view of the resource allocation optimization problem, an optimization method is used to generate a resource allocation strategy.

2. The method according to claim 1, characterized in that Construct a vehicle perception estimation model, and construct expressions for distance estimation accuracy, angle estimation accuracy, and perception estimation position coordinates based on wireless perception principles, including: Transmitting a sensing signal to a target vehicle through an antenna of a communication sensing integrated base station, and receiving a sensing echo reflected by the target vehicle; The sensing echo is processed and analyzed to determine the distance between the communication sensing integrated base station and the target vehicle, the angle of the target vehicle relative to the communication sensing integrated base station, information about the environment in which the target vehicle is located, and the relative distance between the target vehicle and other vehicles around it.

3. The method according to claim 1, characterized in that The method further comprises: In the vehicle radar perception process, according to the vehicle perception estimation model, for the target vehicle, on the basis of satisfying the perception performance index of the target vehicle, at least some vehicles located around the target vehicle are selected as interference utilization vehicles, and the reflected radar interference signals of the interference utilization vehicles are used as useful interference signals; The vehicle perception estimation model is used to predict other vehicles located around the target vehicle at the next time slot to adjust the interference utilizing vehicle and the corresponding reflected radar interference signal.

4. The method according to claim 3, characterized in that When selecting a vehicle for interference, include: From other vehicles within the sight range of the target vehicle, a reflected radar interference signal with the same perception angle as the target vehicle is selected as a useful interference signal, wherein the search for the interference utilizing vehicle is stopped when the number of interference utilizing vehicles reaches a threshold, when the signal-to-noise ratio of the target vehicle reaches a predetermined requirement and / or when the search time exceeds a certain duration.

5. The method according to claim 1, characterized in that The method further comprises: For the communication and perception beams of the target vehicle, the relative positions of other vehicles around the target vehicle and the target vehicle are determined through vector modeling and environmental perception; Based on the constraints of system throughput and interference beam strength, determine the location information of the target interference utilization point, and search for interference utilization vehicles within a predetermined range of the target utilization point; The reflected radar jamming signal of the selected jamming vehicle is orthogonally decomposed along the target beam, and the beam in another direction is utilized on the vehicle orthogonal to the target vehicle to improve the gain of multi-vehicle jamming utilization.

6. The method according to claim 1, characterized in that The method further comprises: Compare the currently available interference beam strength with a preset interference temperature threshold, and if it exceeds the interference temperature threshold, reduce the proportion of the interference utilization factor and increase the proportion of interference elimination; The interference temperature threshold is dynamically adjusted according to target performance indicator factors.

7. A communication perception integrated resource allocation device based on interference utilization, characterized in that: include: The first building module is used to build a vehicle perception estimation model, and to build expressions of distance estimation accuracy, angle estimation accuracy and perception estimation position coordinates based on wireless perception principles; A second construction module is used to construct a vehicle network downlink transmission model with integrated communication and perception under interference utilization, wherein the vehicle network downlink transmission model includes a communication and perception integrated base station and at least one vehicle perception terminal; The third building module is used to build an interference utilization model between vehicles with integrated communication and perception under interference utilization, and calculate the signal-to-noise ratio of the vehicle received signal in the communication mode and the signal-to-noise ratio of the vehicle received signal in the perception mode; The fourth building module is used to calculate the system throughput based on the vehicle information predicted by the vehicle perception estimation model under interference utilization and the achievable communication rate, and to construct a resource allocation optimization problem with the optimization purpose of maximizing the system throughput; The processing module is used to generate a resource allocation strategy by adopting an optimization method for the resource allocation optimization problem.

8. The device according to claim 7, characterized in that The processing module is also used for: In the vehicle radar perception process, according to the vehicle perception estimation model, for the target vehicle, on the basis of satisfying the perception performance index of the target vehicle, at least some vehicles located around the target vehicle are selected as interference utilization vehicles, and the reflected radar interference signals of the interference utilization vehicles are used as useful interference signals; The vehicle perception estimation model is used to predict other vehicles located around the target vehicle at the next time slot to adjust the interference utilizing vehicle and the corresponding reflected radar interference signal.

9. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the communication-aware integrated resource allocation method based on interference utilization as described in any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the communication-aware integrated resource allocation method based on interference utilization as described in any one of claims 1 to 6.

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