A mutual interference management method for large-scale self-organizing networks

Abstract

The application provides a mutual interference management method for a large-scale self-organizing network, which is used for managing and controlling the communication between each pair of communication devices in a self-organizing network system. The method comprises the following steps: acquiring channel information of the system and a preset success transmission judgment threshold, which is the minimum signal-to-interference-and-noise ratio acceptable between the communication devices; introducing a frequency hopping technology and a duplex mode selection mechanism into the system, the mechanism being used for controlling each pair of communication devices to select a full-duplex mode or a half-duplex mode communication based on a selection probability, and setting a discrete value range of the frequency hopping frequency point number and the selection probability under the frequency hopping technology; optimizing the frequency hopping frequency point number and the selection probability based on the channel information, the discrete value range of the frequency hopping frequency point number and the selection probability, and the optimization target being to maximize the success transmission throughput under the constraint of the threshold; and controlling each pair of communication devices to select a full-duplex mode or a half-duplex mode based on the optimized selection probability, and performing frequency hopping communication in the selected mode based on the optimized frequency hopping frequency point number.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, in particular to the field of self-organizing network communication, and more particularly to a mutual interference management method for large-scale self-organizing networks. BACKGROUND

[0002] In the field of wireless communication, cellular networks have been developed for many years and are widely used. Traditional cellular networks rely on centralized base stations and provide communication services for users through frequency division or time division. The core advantage of this network is that the coverage and system capacity can be improved through pre-planned base station locations, power control and channel allocation. However, the centralized nature of cellular networks poses some problems, such as high deployment and maintenance costs, insufficient scalability, and resource allocation bottlenecks and network congestion in high user density or dynamic environments.

[0003] To address the above challenges, wireless Ad Hoc networks have gradually become the focus of attention. Self-organizing networks belong to a distributed network architecture with the ability of automatic topology management, resource optimization and interference coordination. The biggest advantage of this network architecture is that it does not rely on a central base station, and each node in the network can adjust its communication parameters according to its communication needs and environmental changes. This design significantly improves the flexibility and scalability of the network, especially in dynamic or harsh communication environments, such as post-disaster rescue, military communication and remote network coverage. In addition, full-duplex technology, as a key innovation in recent years, allows nodes to perform both transmission and reception operations simultaneously, significantly improving spectral efficiency. Compared to traditional half-duplex communication, which requires time or frequency division for communication, full-duplex technology can complete data transmission and reception in each channel at the same time, theoretically doubling the spectral efficiency.

[0004] Combining full-duplex technology with self-organizing networks forms a full-duplex self-organizing network, which can maximize the use of spectral resources and further improve network capacity and transmission efficiency. Full-duplex self-organizing networks not only have the flexibility and distributed architecture advantages of self-organizing networks, but also improve data transmission rates and spectral efficiency through full-duplex communication.

[0005] However, due to the transmit and receive capability of each node, a key challenge in deploying large-scale full-duplex ad hoc networks is the complex interference management problem. Specifically, interference can be mainly divided into two categories: self-interference and mutual interference. In full-duplex communication, the transmitting end and the receiving end of a node can work simultaneously, and the signal transmitted by the transmitting end will directly interfere with the receiving end of the same node, which is called self-interference. This is a core problem inherent in full-duplex communication systems, because the transmit power is usually significantly higher than the receive signal power, making it difficult for the receiving end to accurately analyze external signals. The other type of interference is mutual interference, which is interference from other nodes in the network. Since full-duplex communication transmits and receives simultaneously, each node in the network not only has to deal with its own self-interference, but also has to deal with interference from other nodes, especially in ad hoc networks which are usually applied in a multi-node dense environment. In a large-scale full-duplex ad hoc network, the management of mutual interference is more challenging than self-interference, as it involves complex multi-node cooperation and resource allocation problems. In particular, the cumulative effect of mutual interference can significantly reduce system performance, even lower than that of half-duplex networks. Therefore, to improve the capacity of full-duplex networks, effective management of mutual interference in the system must be implemented.

[0006] In recent years, self-interference suppression techniques have made significant progress in both analog and digital levels. Through filtering, cancellation algorithms and other means, the impact of self-interference has been effectively reduced. However, in large-scale full-duplex ad hoc networks, the problem of mutual interference between nodes remains a key challenge affecting system performance.

[0007] One of the commonly used methods for mutual interference management is frequency hopping technology, which effectively disperses the same frequency interference and reduces the impact of interference on transmission by switching communication frequencies at different time slots or time windows. However, when using frequency hopping technology alone in high-density networks, due to the limitations of spectrum resources, it is difficult to completely solve the problem of mutual interference.

[0008] In addition, power control methods adjust the transmit power of nodes to reduce interference to neighboring nodes. This method is effective in small-scale networks, but in large-scale full-duplex networks, due to the significant increase in node density, the complexity of power adjustment and coordination costs rise, making it difficult to balance interference suppression and communication quality.

[0009] In terms of beamforming technology, it reduces interference through directional transmission and relies on accurate channel information. However, in large-scale ad hoc networks, this technology is difficult to implement, and the real-time feedback and computational overhead of channel state is high, affecting the overall efficiency of the system.

[0010] The existing mutual interference control method has many problems in a large-scale full-duplex self-organizing network: high complexity of power control and beamforming, low communication quality and efficiency, and limitation of network capacity improvement; the frequency hopping technology leads to low spectrum utilization efficiency, communication capacity decline, and complexity increase due to frequent frequency switching, and the spectrum resource is limited, which makes it difficult to effectively solve the mutual interference problem. Overall, the existing method is difficult to well balance the mutual interference suppression and communication capacity guarantee. Therefore, there is an urgent need for a mutual interference control method that can guarantee system performance and effectively optimize network capacity.

[0011] It should be noted that the background technology is only used to introduce the related information of the present application, so as to help understand the technical scheme of the present application, but it does not mean that the related information must be prior art. The related information is submitted and disclosed together with the present application scheme, and in the absence of evidence that the related information has been publicly disclosed before the filing date of the present application, the related information should not be regarded as prior art. SUMMARY

[0012] Therefore, the purpose of the present application is to overcome the defects of the prior art and provide a mutual interference control method for a large-scale self-organizing network.

[0013] The purpose of the present application is achieved by the following technical scheme:

[0014] According to a first aspect of the present application, a mutual interference control method for a large-scale self-organizing network is provided for controlling communication between each pair of communication devices in a device-to-device self-organizing network system, the method comprising: S1, obtaining communication environment parameters of the system, including channel information and a preset successful transmission judgment threshold, the threshold being the minimum signal-to-interference-and-noise ratio acceptable between the communication devices; S2, introducing a frequency hopping technology and a duplex mode selection mechanism in the system, the mechanism being used to control each pair of communication devices to select a full-duplex mode or a half-duplex mode communication based on a selection probability, and setting a discrete value range of the frequency hopping frequency point number and the selection probability respectively; S3, optimizing the frequency hopping frequency point number and the selection probability based on the channel information, the frequency hopping frequency point number and the discrete value range of the selection probability respectively, and the optimization target being to maximize the successful transmission throughput of the system under the constraint of the successful transmission judgment threshold; S4, controlling each pair of communication devices to select a full-duplex mode or a half-duplex mode based on the selection probability optimized in S3, and determining all frequency points based on the frequency hopping frequency point number optimized in S3, and randomly selecting a frequency point from the frequency points for frequency hopping communication in the selected mode.

[0015] In some embodiments of the present application, the S3 comprises: S31, constructing a model for calculating the successful transmission throughput of the system according to the channel information, the successful transmission determination threshold, the number of frequency hopping frequency points to be optimized, and the selection probability; S32, constructing an objective function with the maximum value of the model as the optimization objective based on the respective discrete value ranges of the number of frequency hopping frequency points and the selection probability; and S33, solving the number of frequency hopping frequency points and the selection probability to be optimized based on the objective function.

[0016] In some embodiments of the present application, in the S31, the selection probability comprises the probability of selecting the full-duplex mode, and the model has the following form:

[0017] ,

[0018] wherein, represents the successful transmission throughput of the system, represents the total bandwidth of the system, represents the number of frequency hopping frequency points to be optimized, represents the bandwidth corresponding to each frequency hopping frequency point after the frequency hopping frequency point division, represents the probability of selecting the full-duplex mode to be optimized, represents the density of the communication devices in the system, represents the medium access control layer access probability, represents the channel capacity calculated according to the Shannon formula, represents the successful transmission determination threshold, represents the successful transmission probability when the probability of selecting the full-duplex mode by each pair of communication devices is and the number of frequency hopping frequency points is .

[0019] In some embodiments of the present application, in the S32, the objective function is constructed based on the respective discrete value ranges of the number of frequency hopping frequency points and the probability of selecting the full-duplex mode, and the objective function has the following form:

[0020] ,

[0021] wherein, represents the successful transmission throughput, maximized by optimizing the values of the number of frequency hopping frequency points and the probability of selecting the full-duplex mode , represents the maximum number of frequency hopping frequency points that can be supported by the system, represents a set of positive integers, represents a positive integer value introduced for describing discrete values, represents the step size of the probability of selecting the full-duplex mode.

[0022] In some embodiments of the present application, in the S33, the solving method comprises: performing simulation calculation based on the model to obtain simulation calculation results, including corresponding successful transmission throughput under different frequency hopping frequency points and the probability of selecting the full duplex mode; according to the simulation calculation results, a relationship diagram between the successful transmission throughput and the frequency hopping frequency points and the probability of selecting the full duplex mode is drawn; under the constraint of the discrete value range of the frequency hopping frequency points and the probability of selecting the full duplex mode, the frequency hopping frequency points and the selection probability of the full duplex mode corresponding to the maximum successful transmission throughput are searched from the relationship diagram.

[0023] In some embodiments of the present application, the method further comprises: periodically optimizing the frequency hopping frequency points and the selection probability by using the S1-S3, wherein the optimization is based on the communication environment parameters of each period in each period; controlling each pair of communication devices to select the full duplex mode or the half duplex mode based on the selection probability optimized in each period, and determining all frequency points based on the optimized frequency hopping frequency points, and randomly selecting a frequency point from the frequency points for frequency hopping communication in the selected mode.

[0024] In some embodiments of the present application, in the S1, the preset method of the successful transmission determination threshold comprises: determining the fluctuation range of the signal-to-interference-and-noise ratio according to the current application scenario, and setting the successful transmission determination threshold based on the fluctuation range of the signal-to-interference-and-noise ratio and the service demand in the scenario.

[0025] According to the second aspect of the present application, a communication method for a large-scale self-organizing network system is provided, the system comprising a plurality of D2D links, each D2D link corresponding to a pair of communication devices, each pair of communication devices being configured to support full duplex mode, half duplex mode and frequency hopping technology for communication, the communication method comprising: obtaining the optimized frequency hopping frequency points and the selection probability obtained based on the method of the first aspect of the present application; based on the optimized frequency hopping frequency points and the selection probability, parameter configuration is performed on the system to control each pair of communication devices in the system to select the full duplex mode or the half duplex mode based on the optimized selection probability, and to determine all frequency points based on the optimized frequency hopping frequency points, and to randomly select a frequency point from the frequency points for frequency hopping communication in the selected mode.

[0026] According to the third aspect of the present application, an electronic device is provided, comprising: one or more processors; and a memory, wherein the memory is used to store executable instructions; the one or more processors are configured to implement the steps of the methods of the first aspect and the second aspect of the present application by executing the executable instructions.

[0027] Compared with the prior art, the present application has the following advantages:

[0028] The method of the present application introduces frequency hopping technology and duplex mode selection mechanism in the system to suppress mutual interference in the system; on the basis of combining frequency hopping technology and duplex mode selection mechanism, under the constraint of the minimum signal-to-interference-and-noise ratio acceptable between communication devices, by simultaneously optimizing the number of frequency hopping points and selection probability, the optimization target is to maximize the successful transmission throughput of the system, not only realizing good mutual interference control in the network system, but also ensuring the maximum communication capacity of the network system. BRIEF DESCRIPTION OF DRAWINGS

[0029] The embodiments of the present application are further described below with reference to the accompanying drawings, in which:

[0030] Figure 1 The flowchart of the mutual interference control method for large-scale self-organizing networks according to the embodiments of the present application is shown.

[0031] Figure 2 The overall flowchart of the mutual interference control method for large-scale self-organizing networks according to the embodiments of the present application is shown.

[0032] Figure 3 The comparison result diagram of the mutual interference situation of communication devices before and after mutual interference control according to the embodiments of the present application is shown.

[0033] Figure 4 The comparison result diagram of the mutual interference degree of self-organizing network systems with and without the method of the present application according to the embodiments of the present application is shown.

[0034] Figure 5 The comparison result diagram of the throughput of self-organizing network systems with and without the method of the present application according to the embodiments of the present application is shown. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below with reference to the accompanying drawings through specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0036] As mentioned in the background section, the existing mutual interference control method has many problems in large-scale full-duplex self-organizing networks: high complexity of power control and beamforming, low communication quality and efficiency, limiting network capacity improvement; frequency hopping technology causes low spectrum utilization efficiency, communication capacity decline and complexity increase due to frequent frequency switching, and spectrum resources are limited, making it difficult to effectively solve the mutual interference problem. Overall, the existing method is difficult to well balance the problems of mutual interference suppression and communication capacity guarantee.

[0037] To solve the above problems, the inventors propose a mutual interference control method for large-scale self-organizing networks. The method is used to control the communication between each pair of communication devices in a device-to-device self-organizing network system. The method introduces frequency hopping technology and a duplex mode selection mechanism to suppress mutual interference in the system. The mechanism is used to control each pair of communication devices to select full-duplex mode or half-duplex mode communication based on a selection probability. The inventors have found that, because the more frequency hopping frequency points in the frequency hopping technology, the smaller the interference, but the transmission throughput of the communication device is reduced, and more devices selecting full-duplex mode can improve the throughput, but as the number of devices selecting full-duplex mode increases, it will cause serious mutual interference between devices, thereby causing the system throughput to decrease. Therefore, the method of the present application combines the frequency hopping technology and the duplex mode selection mechanism, and under the constraint of the minimum acceptable signal-to-interference-plus-noise ratio (SINR) between communication devices, i.e., under the constraint of the maximum acceptable interference intensity, the number of frequency hopping frequency points and the selection probability are optimized simultaneously, and the optimization goal is to maximize the successful transmission throughput of the system. The method not only realizes good mutual interference control in the network system, but also ensures the maximum communication capacity of the network system.

[0038] According to one embodiment of the present application, a device-to-device self-organizing network system is introduced. The system is a hybrid full-duplex (FD) mode and half-duplex (HD) mode device-to-device (D2D) self-organizing network system with random frequency hopping function. The system includes a plurality of D2D links, and each pair of communication devices corresponding to each D2D link is unified as a "node pair", and a single communication device is unified as a "communication node". Further, it is assumed that the number of communication nodes in the system (the system is represented as , where is a positive integer, and each communication node forms a D2D link with its nearest neighbor communication node. If any communication node is labeled as , then the nearest neighbor communication node paired with it will be labeled as , and at this time, it satisfies , i.e., the average distance of the node pair is . Wherein, each pair of communication devices corresponding to each D2D link is configured to support FD and HD, i.e., the duplex mode can be freely selected between FD and HD, and the mutual interference between communication devices can be reduced through frequency hopping technology.

[0039] According to one embodiment of the present application, see Figure 1 ​It is a mutual interference control method flowchart for large-scale self-organizing network. The method comprises steps S1, S2, S3 and S4. In order to better understand the present application, each step will be described in detail below in combination with specific embodiments.

[0040] In step S1, the communication environment parameters of the system are acquired, including channel information and a preset success transmission determination threshold, which is the minimum signal-to-interference-and-noise ratio acceptable between communication devices.

[0041] According to an embodiment of the present application, in a large-scale self-organizing network, first, the key parameters need to be determined according to the actual communication environment, including: channel information, communication device density and success transmission determination threshold . Among them, the channel information includes the distance between the transmitting device and the receiving device of each pair of communication devices, channel gain, path loss and background noise and other parameters.

[0042] According to an embodiment of the present application, the communication device density : The communication device density directly affects the degree of interference in the network, so it is necessary to estimate or measure the distribution density of communication devices according to the actual application scene (such as urban or rural environment). The way to obtain this parameter includes: the number of communication devices and the location information of each communication device can be obtained through simulation tools or field broadcasting, etc., so as to estimate and analyze the field to obtain the communication device density .

[0043] According to an embodiment of the present application, the success transmission determination threshold : This threshold determines the degree of interference intensity in the network that is considered acceptable, and also determines the minimum signal-to-interference-and-noise ratio for successful transmission of information between communication devices. Among them, the threshold can usually be set by analyzing the signal-to-interference-and-noise ratio, and the specific value can be determined according to the reliability requirements of the target application.

[0044] According to an embodiment of the present application, the preset method of the success transmission determination threshold includes: determining the fluctuation range of the signal-to-interference-and-noise ratio according to the current application scene, and setting the success transmission determination threshold based on the fluctuation range of the signal-to-interference-and-noise ratio and the service demand in this scene. The technical scheme of this embodiment can at least achieve the following beneficial technical effects: this preset method can dynamically adjust the system parameters, and is particularly suitable for complex network environments with high-density node distribution. At the same time, based on the signal-to-interference-and-noise ratio range and for different service demands, different interference scenes can be coped with, which significantly improves the flexibility, robustness and transmission performance of the system, and has a wide application prospect.

[0045] The following is a preset example of the success transmission determination threshold:

[0046] Example 1: for high-definition video streaming service, the error rate is required to be less than 10-5 to ensure the video quality. Through theoretical analysis and early testing, it is known that in the 5G system, when SINR reaches 20 dB, the error rate requirement of high-definition video streaming can be met. In the indoor office area, the signal is relatively stable, the interference is small, and the SINR is usually between 25 dB and 35 dB. Therefore, for the high-definition video service in the indoor office scenario, the successful transmission judgment threshold (also referred to as the SINR judgment threshold) can be preset to 20 dB.

[0047] Example 2: in the high-speed mobile vehicle application scenario, the channel environment is complex, the signal fades quickly, and the interference is also large. The SINR fluctuation range is between 12 dB and 22 dB. In order to ensure a certain transmission success rate, for the high-definition video streaming service in the vehicle application scenario, the successful transmission judgment threshold can be appropriately reduced to 18 dB; for the Internet of Things data transmission service, the successful transmission judgment threshold can be preset to 15 dB.

[0048] In step S2, a frequency hopping technology and a duplex mode selection mechanism are introduced in the system, which is used to control each pair of communication devices to select a full duplex mode or a half duplex mode communication based on a selection probability, and set a discrete value range of the frequency hopping frequency point number and the selection probability under the frequency hopping technology.

[0049] The frequency hopping technology (Frequency Hopping, abbreviated as FH) introduced in this step S2 is introduced and described: this technology is a communication mode in which the carrier frequency is quickly jumped according to a certain rule through a pseudo-random sequence. The core principle is: each pair of communication devices synchronously switches the working frequency point according to the predetermined pseudo-random sequence, and the residence time of each frequency point is extremely short (such as millisecond level). Among them, the frequency hopping frequency point number under the frequency hopping technology refers to the number of discrete frequencies available to the system, which directly affects the anti-interference performance and system complexity. The more the frequency points, the stronger the randomness of the frequency hopping pattern, the higher the anti-interference ability, but the higher the complexity. If the frequency hopping frequency point number is 5, the available communication frequency band will be divided into 5 frequency points, denoted as 1, 2, 3, 4, and 5. Then, a pair of communication devices of one D2D link share the same frequency point for communication, such as a pair of communication devices a and b sharing frequency point 2 for mutual communication at the same time. That is, each pair of communication devices in the system will randomly select one frequency point from the frequency hopping frequency points of the frequency hopping technology for frequency hopping communication.

[0050] According to one embodiment of the present application, the selection probability includes a probability of selecting a full duplex mode and a probability of selecting a half duplex mode. The principle of the duplex mode selection mechanism introduced in the system: used to control each pair of communication devices to select a full duplex mode or a half duplex mode communication with a probability selecting a full-duplex mode to communicate with a probability selecting a half-duplex mode to communicate.

[0051] According to one embodiment of the present application, in order to ensure that the system can effectively cope with different interference environments, it is necessary to set the frequency hopping frequency point number and the probability of selecting a full-duplex mode each discrete value range. The setting method is as follows:

[0052] Setting the frequency hopping frequency point number : The common discrete value range of the frequency hopping frequency point number is an integer from 1 to According to one embodiment of the present application, the discrete value range of the system frequency hopping frequency point number satisfies , wherein is the maximum frequency hopping frequency point number that the system can support.

[0053] Setting the probability of selecting a full-duplex mode : In the range of , according to the actual communication scene and service demand, a reasonable probability step is set to determine the discrete value range of the probability of the device selecting a full-duplex mode. Illustratively, if is set to 0.2, the discrete value range of the probability is , that is, .

[0054] The technical scheme of the embodiment of the above step S2 can at least achieve the following beneficial technical effects: by introducing the frequency hopping technology and the duplex mode selection mechanism, the subsequent optimization of the frequency hopping frequency point number and the probability of the device selecting a full-duplex / half-duplex mode is facilitated, and effective suppression of mutual interference is realized.

[0055] In step S3, based on the discrete value range of the channel information, the frequency hopping frequency point number and the selection probability, the frequency hopping frequency point number and the selection probability are optimized, and the optimization target is to maximize the successful transmission throughput of the system under the constraint of the successful transmission judgment threshold.

[0056] According to one embodiment of the present application, step S3 includes the following steps S31, S32 and S33:

[0057] Step S31, according to the channel information, the successful transmission judgment threshold, the frequency hopping frequency point number and the selection probability to be optimized, a model for calculating the successful transmission throughput of the system is constructed.

[0058] According to one embodiment of the present application, in step S31, the form of the model is as follows:

[0059] , (1)

[0060] wherein, denotes the successful transmission throughput of the system, denotes the total bandwidth of the system, denotes the number of frequency hopping points to be optimized, denotes the bandwidth corresponding to each frequency hopping point after the frequency hopping point division, denotes the probability of selecting the full-duplex mode to be optimized, denotes the density of communication devices in the system, denotes the medium access control layer access probability, denotes the channel capacity calculated according to the Shannon formula, denotes the successful transmission determination threshold, denotes the successful transmission probability of each pair of communication devices selecting the full-duplex mode with the probability and the number of frequency hopping points .

[0061] According to one embodiment of the present application, the following describes the construction process of the model of the successful transmission throughput of the computing system:

[0062] In the system, it is assumed that the communication devices are randomly distributed in a given area M on a two-dimensional plane according to a uniform Poisson point process (PPP) with a density . The received power of the signal transmitted by the th communication device by the th communication device can be represented by the following formula (2).

[0063] , (2)

[0064] wherein, denotes the transmission power of the th communication device, denotes the channel gain between the th communication device and the th communication device, denotes the distance between the th communication device and the th communication device, denotes the path loss exponent and . It is assumed that is independent of the positions of the th communication device and the th communication device and follows a Rayleigh model of unit expected exponential distribution, i.e. , which is the same and independent distribution. ​

[0065] Based on the power calculation principle of the above signals, the successful transmission throughput derivation is carried out, and the derivation process includes the following 1) - 6):

[0066] 1) The signal-to-interference-and-noise ratio of the first communication device in the communication link of the D2D link is given , and the first communication device is marked as , and the communication device forming the D2D link with it will be marked with The calculation is as follows:

[0067] , (3)

[0068] Wherein, Pd,2 (i) represents the power of the signal received by the communication device , and Pd,2 (i) represents the power of the signal received by the communication device , Pd,2 (i) represents the transmit power of the communication device , and Hd,2 (i) represents the channel gain from the device to the device , assuming that obeys exponential distribution, d,2 (i) represents the distance from the communication device to the communication device , PLd,2 (i) represents the path loss, N0 represents the background noise, I (i) represents the mode selection indication function, when the communication device and the communication device adopt the full duplex mode, 1, otherwise 0, I (i) represents the residual self-interference, I (i) represents the mutual interference between the communication devices. Wherein, Here, linear cancellation modeling is considered, α (i) represents the self-interference cancellation coefficient. The calculation formula can be expressed in the following form:

[0069] , (4)

[0070] Wherein, I (i) represents the set of communication devices causing mutual interference to the pair of communication devices and represented by the D2D link under study, that is, the set of communication devices using the same frequency point and transmitting information at the same time as the pair of communication devices under study, ​representing the first interfering communication device, corresponding to a set of interfering communication device density, denoted as .

[0071] 2) the success transmission probability of the first communication device in the communication link of the D2D link is given , The calculation formula is as follows:

[0072] , (5)

[0073] wherein, denotes the probability, denotes the success transmission judgment threshold set according to the communication channel environment, when is greater than or equal to the value of the , it can be successfully transmitted information.

[0074] 3) substituting calculated by formula (3) into the above formula (5), the following formula can be obtained:

[0075] , (6)

[0076] 4) using and its cumulative distribution function properties , the following formula is further obtained:

[0077] , (7)

[0078] 5) using the representation method of Laplace transform function to process formula (7), the following formula can be obtained:

[0079] , (8)

[0080] wherein, denotes the reciprocal of path loss, denotes the Laplace transform of the interfering , through mathematical transformation of formula (8), its expression can be further derived as:

[0081] , (9)

[0082] wherein, denotes the interfering communication device density corresponding to the communication device , and denote the integral variables introduced in the calculation.

[0083] 6) According to Slivnyak's theorem, the statistical properties of a typical communication device located at a specific location hold for any general communication device located at any general location. Thus, the above success transmission probability derived based on the communication device can be applied to any communication device in the communication network. Therefore, the number of successfully transmitted data packets per time slot per unit area is defined as the success transmission throughput of the system under a fixed bandwidth length, which is given by the above formula (1): .

[0084] wherein the in formula (1) is calculated as follows:

[0085] , (10)

[0086] wherein represents the mutual interference received by any communication device, represents the corresponding Laplace transform, which is calculated as follows:

[0087] , (11)

[0088] wherein represents the mutual interference communication device density corresponding to any pair of communication devices, is a function of the probability of selecting full-duplex mode between any pair of communication devices , the number of frequency hopping frequency points , the number of pairs of communication devices , and the communication device density (the number of communication devices per unit area). The expression of the function is given as follows by mathematical induction:

[0089] , (12)

[0090] According to one embodiment of the present application, (10), (11) and (12) are substituted into formula (1), and then formula (1) can be rewritten as follows:

[0091] , (13)

[0092] wherein , when and are given in the system, and are constants.

[0093] wherein, as can be seen from formula (13), the success transmission throughput the number of frequency hopping points and the probability of selecting full-duplex mode is determined. When is small, the limited number of frequency hopping points results in low spectrum resource utilization, high mutual interference intensity, and low transmission success probability, thereby resulting in low throughput. Conversely, when is large, the spectrum resource is excessively dispersed, the bandwidth of each frequency point is reduced, and the throughput is reduced. Therefore, and present a non-monotonic relationship, and there is an optimal positive integer value that can maximize the successful transmission throughput. Similarly, increasing the probability of selecting full-duplex mode increases the full-duplex device density, which initially increases the throughput. However, it also amplifies the mutual interference between communication devices, reduces the successful transmission probability, and reduces the successful transmission throughput. Therefore, too high or too low is not conducive to capacity improvement, and similarly indicates that there is an optimal . The present application derives a closed-form solution for the system successful transmission throughput, and proves that there is an optimal number of frequency hopping points and the probability of selecting full-duplex mode that maximizes the successful transmission throughput, so as to subsequently calculate the optimal , thereby determining the optimal combination of .

[0094] In step S32, based on the respective discrete value ranges of the number of frequency hopping points and the probability of selecting full-duplex mode, a target function is constructed, with the value of the maximization model as the optimization objective.

[0095] According to an embodiment of the present application, based on the respective discrete value ranges of the number of frequency hopping points and the probability of selecting full-duplex mode, the target function is constructed. The target function is in the following form:

[0096] , (14)

[0097] wherein represents maximizing the successful transmission throughput by optimizing the values of the number of frequency hopping points and the probability of selecting full-duplex mode , represents the maximum number of frequency hopping points that can be supported by the system, represents a set of positive integers, represents a positive integer value introduced for describing the discrete values of , and represents the step size of the probability of selecting full-duplex mode.

[0098] Step S33: Based on the objective function, obtain the optimized number of frequency hopping points and selection probability.

[0099] According to one embodiment of the present invention, in step S33, the solution method includes: performing simulation calculations based on the model to obtain simulation calculation results, including the corresponding successful transmission throughput under different numbers of frequency hopping frequencies and the probabilities of selecting full-duplex mode; according to the simulation calculation results, drawing a relationship diagram between the successful transmission throughput and the number of frequency hopping frequencies and the probability of selecting full-duplex mode; under the constraints of the discrete value ranges of the number of frequency hopping frequencies and the probability of selecting full-duplex mode, searching the relationship diagram for the number of frequency hopping frequencies and the probability of selecting full-duplex mode corresponding to the maximum successful transmission throughput.

[0100] According to one embodiment of the present invention, the solution method includes: using a computer to simulate the system and draw a successful transmission throughput change graph, and from the transmission throughput change graph, traversing all the frequency hopping points that meet the constraint conditions through grid search. and full-duplex selection probability , and compare their corresponding successful transmission throughput Size, identify the number of frequency hopping points and the probability of selecting full-duplex mode corresponding to the maximum successful transmission throughput, and obtain the optimized number of frequency hopping points and the probability of optimizing the selection of full-duplex mode, which are recorded as . And the probability of selecting half-duplex mode is recorded as .

[0101] The relationship graph is constructed by using the X-axis to represent the change in frequency hopping frequency, the Y-axis to represent the change in full-duplex selection probability, and the Z-axis, or color depth, to represent the successful transmission throughput. By observing the relationship graph, we can identify throughput performance for different combinations of frequency hopping frequency and full-duplex selection probability, providing a basis for finding the optimal parameter combination.

[0102] The technical solution of the above embodiment can at least achieve the following beneficial technical effects: the present invention helps to intuitively analyze the system performance under different configurations by drawing a relationship diagram. Then traverse all the frequency hopping points and full-duplex selection probabilities that meet the corresponding discrete value range, and compare their corresponding successful transmission throughput to determine the frequency hopping points. and full-duplex selection probability to maximize full-duplex network throughput while reducing mutual interference between communicating devices.

[0103] It should be noted that the above embodiments are all described by taking the optimization of the number of frequency hopping points and the probability of selecting the full duplex mode as an example. The present application can also set the discrete value range of the number of frequency hopping points and the probability of selecting the half duplex mode, and control the mutual interference by optimizing the number of frequency hopping points and the probability of selecting the half duplex mode, and the present application is not limited thereto.

[0104] In step S4, control each pair of communication devices to select the full duplex mode or the half duplex mode based on the optimized selection probability of S3, and determine all frequency points based on the optimized number of frequency hopping points of S3, and randomly select a frequency point from them to perform frequency hopping communication in the selected mode.

[0105] According to one embodiment of the present application, the system configuration is completed according to the optimized number of frequency hopping points and the full duplex selection probability . The duplex mode selection and frequency hopping are performed based on the optimized number of frequency hopping points and the full duplex selection probability of each pair of communication devices in the system obtained by the steps of the above embodiments to perform communication.

[0106] According to one embodiment of the present application, the mutual interference control method further comprises: periodically optimizing the number of frequency hopping points and the selection probability by using the methods of S1-S3, wherein the optimization is performed based on the communication environment parameters of each period; and controlling each pair of communication devices to select the full duplex mode or the half duplex mode based on the corresponding optimized selection probability of each period, and to determine all frequency points based on the optimized number of frequency hopping points, and to randomly select a frequency point from them to perform frequency hopping communication in the selected mode. The changing communication environment parameters at each time can be obtained by periodically evaluating the network state. The technical scheme of this embodiment can at least achieve the following beneficial technical effects: before each communication period, according to the current channel environment and the successful transmission threshold, the probability of selecting the full duplex or half duplex communication is determined again, and the number of frequency hopping points is also determined again before each communication period, so as to dynamically adjust the number of frequency hopping points and the probability, and to maximize the successful transmission throughput of each time period.

[0107] For example, if the full duplex mode is selected according to the optimized number of frequency hopping points and the full duplex selection probability in the first period, the full duplex mode is used for communication in the time period of the first period until the next period. Then, in the next period, the optimized number of frequency hopping points and the full duplex selection probability are determined again, and if the half duplex mode is selected in the next period, the half duplex mode is used for communication in the time period of the next period.

[0108] In general, according to one embodiment of the present application, referring to Figure 2 which is a schematic diagram of the overall process of the mutual interference management method for large-scale self-organizing networks. At the beginning, the communication environment parameters of the system are determined, and the discrete value ranges of the selection probabilities of the frequency hopping frequency point number and the duplex mode selection mechanism are set; then, in order to optimize the frequency hopping frequency point number and the selection probability, an optimization objective function is constructed in advance, the goal of the optimization objective function is to maximize the successful transmission throughput, and the system is simulated by using a computer and a successful transmission throughput change graph is drawn, which is a graph of the relationship between the successful transmission throughput and the frequency hopping frequency point number and the probability of selecting the full duplex mode. Based on the graph, the frequency hopping frequency point number and the probability of selecting the full duplex mode corresponding to the maximum successful transmission throughput are searched, and finally, the parameters are determined and the system is configured, including the determined frequency hopping frequency point number , the probability of selecting the full duplex mode and the probability of selecting the half duplex mode , which are the optimized frequency hopping frequency point number , the probability of selecting the full duplex mode

[0109] and the probability of selecting the half duplex mode , are issued to each communication device to complete the system configuration and end the current process.

[0110] According to one embodiment of the present application, a communication method for a large-scale self-organizing network system is provided, the system including a plurality of D2D links, each D2D link corresponding to a pair of communication devices, each pair of communication devices being configured to support full duplex mode, half duplex mode and frequency hopping technology communication. The communication method comprises: obtaining the optimized frequency hopping frequency point number and the selection probability obtained based on the method described in the above embodiment; based on the optimized frequency hopping frequency point number and the selection probability, configuring the parameters of the system to control each pair of communication devices in the system to select the full duplex mode or the half duplex mode based on the optimized selection probability, and to determine all frequency points based on the optimized frequency hopping frequency point number and to randomly select a frequency point for frequency hopping communication in the selected mode. According to one embodiment of the present application, during the system parameter configuration, the frequency hopping technology configuration and the duplex mode selection mechanism configuration are included. ① Frequency hopping technology configuration: by configuring the communication devices in the system to support frequency hopping technology, and issuing the optimized frequency hopping frequency point number parameters to each communication device, ensuring that each communication device randomly hops according to the predetermined optimal frequency hopping frequency point number. ② Duplex mode selection mechanism configuration: configuring the communication devices in the system to support the duplex mode selection mechanism, and issuing the optimized selection probability parameters to each communication device, so that each communication device can select the full duplex mode communication with a probability , and select the half duplex mode communication with a probability

[0111] . Figure 3, which is a schematic diagram of the comparison result of the mutual interference of the communication devices before and after the mutual interference control. Five pairs of communication devices corresponding to five D2D links in the system are shown in the diagram. The left system represents the communication without mutual interference control, all of which adopt the full duplex mode and select frequency hopping frequency point 1 for communication. The right system represents the mutual interference control, and part of the communication devices select frequency hopping frequency point 1 for communication, and part of the communication devices select frequency hopping frequency point 2 for communication. Assuming that the communication devices in the middle one of the D2D links and the communication devices connected thereto are studied, it can be found that the interference links of the communication devices are significantly reduced, and only the expected links (i.e. no interference links during communication) exist between part of the communication devices, so that the application realizes good mutual interference control capability.

[0112] In order to verify the beneficial effects of the application, the inventors carried out the following comparative experiments:

[0113] Firstly, consider a network system area with an area of , wherein the communication nodes in the area are distributed according to the uniform PPP model with a communication device density of . In addition, it is assumed that the MAC layer access probability is .

[0114] Secondly, the simulation system parameters are set as shown in Table 1 below:

[0115] Simulation system parameters

[0116]

[0117] Finally, in order to simplify the analysis, only the same frequency interference is considered in the calculation of the mutual interference (i.e. only when different pairs of communication devices simultaneously use the same frequency band for communication, mutual interference is considered to occur). On the basis of this analysis, the mutual interference degree and the throughput when the communication is carried out in the self-organizing network system using the method of the application and the self-organizing network system not using the method of the application are tested and compared, and the mutual interference comparison result and the throughput comparison result are obtained. The self-organizing network system not using the method of the application refers to a conventional full duplex self-organizing network system without introducing any interference control technology and all of which adopt the full duplex mode for communication.

[0118] Among them, the mutual interference comparison result can be seen from Figure 4 , which is a schematic diagram of the comparison result of the mutual interference degree of the self-organizing network system using the method of the application and the self-organizing network system not using the method of the application. In the diagram, the abscissa is the node density The abscissa is the node density (i.e. represents the communication device density), the unit is the number of communication devices per square kilometer, and the ordinate is the average interference intensity, the unit is W. It can be seen from the results in the figure that in the system without interference control, the average interference intensity increases approximately linearly with the increase of the node density. After the interference control method of the application is used, the interference intensity is maintained at a relatively low intensity as a whole, and the interference intensity under high node density is greatly reduced, for example, when the node density is 0.8, the interference control method of the application reduces the interference intensity by nearly 10 times.

[0119] The throughput comparison results can be seen from Figure 5 , which is a schematic diagram of the throughput comparison results of the self-organizing network system using the method of the application and the self-organizing network system not using the method of the application. In the figure, the abscissa is the node density , the unit is the number of communication devices per square kilometer, and the ordinate is the average throughput, the unit is bps / Hz. It can be seen from the results in the figure that in the system without interference control, the throughput decreases sharply and approaches zero under high node density, which seriously affects the communication performance. On the contrary, after the interference control method of the application is used, the throughput of all node densities can be significantly improved, and the transmission capacity under high density can be improved by more than 100 times.

[0120] It should be noted that although the above describes the steps in a specific order, it does not mean that the steps must be performed in the above specific order. In fact, some of the steps can be performed concurrently or even in a different order, as long as the desired function can be achieved.

[0121] The application can be a system, a method and / or a computer program product. The computer program product can include a computer readable storage medium having computer readable program instructions stored therein for implementing various aspects of the application by a processor.

[0122] The computer readable storage medium can be a tangible device that stores and maintains instructions used to execute the steps of the application by a processing device. The computer readable storage medium can be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (non-exhaustive list) of the computer readable storage medium include a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as a punch card or a hole in the groove structure, and any suitable combination of the above.

[0123] Embodiments of the application have been described above, with the understanding that these embodiments are exemplary only and are not restrictive of the disclosed embodiments. Many modifications and variations of the described embodiments are possible in light of the above teachings. The selection of terms to be used in the description is not intended to limit the scope of the embodiments described herein, but rather is intended to best describe the principles of the embodiments, practical application, or technical improvements in the art, or to enable other skilled practitioners to understand the embodiments disclosed herein.

Claims

1. A mutual interference control method for large-scale self-organizing networks, used to control the communication between each pair of communication devices in a device-to-device self-organizing network system, characterized in that: The method includes: S1. Acquire system communication environment parameters, including channel information and a preset successful transmission determination threshold, which is the minimum signal-to-interference-and-noise ratio acceptable between communication devices; S2. Introducing frequency hopping technology and a duplex mode selection mechanism into the system. This mechanism is used to control each pair of communication devices to select full-duplex mode or half-duplex mode communication based on a selection probability, and setting the discrete value ranges of the number of frequency hopping points and the selection probability under the frequency hopping technology; S3. Optimizing the number of frequency hopping frequencies and the selection probability based on the channel information, the number of frequency hopping frequencies, and the discrete value ranges of the selection probability, wherein the optimization goal is to maximize the successful transmission throughput of the system under the constraint of the successful transmission determination threshold; S4. Control each pair of communication devices to select full-duplex mode or half-duplex mode based on the selection probability optimized in S3, determine all frequency points based on the number of frequency hopping points optimized in S3, and randomly select frequency points from them to perform frequency hopping communication according to the selected mode.

2. The method according to claim 1, characterized in that The S3 includes: S31. Constructing a model for calculating the successful transmission throughput of the system based on the channel information, the successful transmission determination threshold, the number of frequency hopping points to be optimized, and the selection probability; S32. Based on the discrete value ranges of the frequency hopping points and the selection probability, construct an objective function with maximizing the model value as the optimization goal; S33. Based on the objective function, obtain the optimized number of frequency hopping points and selection probability.

3. The method according to claim 2, characterized in that In S31, the selection probability includes the probability of selecting the full-duplex mode, and the form of the model is as follows: ， in, represents the successful transmission throughput of the system, represents the total bandwidth of the system, Indicates the number of frequency hopping points to be optimized. Indicates the bandwidth corresponding to each frequency hopping point after the frequency hopping point division. represents the probability of selecting full-duplex mode to be optimized, Indicates the density of communication devices in the system, represents the access probability of the media access control layer, represents the channel capacity calculated according to Shannon’s formula, Indicates the successful transmission judgment threshold, The probability that each pair of communication devices chooses full-duplex mode is And the frequency hopping points are The probability of successful transmission.

4. The method according to claim 3, characterized in that In the S32, the objective function is constructed based on the discrete value ranges of the number of frequency hopping points and the probability of selecting the full-duplex mode. The objective function is in the following form: ， in, Indicates that by optimizing the frequency hopping points and the probability of selecting full-duplex mode The value of successful transmission throughput maximize, Indicates the maximum number of frequency hopping points supported by the system. represents the set of positive integers, Indicates the use of description The positive integer value introduced by discrete value, The step size representing the probability of selecting full-duplex mode.

5. The method according to claim 3, characterized in that In the S33, the solution method includes: Perform simulation calculations based on the model to obtain simulation calculation results, including corresponding successful transmission throughput under different numbers of frequency hopping points and probabilities of selecting full-duplex mode; Based on the simulation results, a graph is drawn showing the relationship between the successful transmission throughput, the number of frequency hopping points, and the probability of selecting full-duplex mode. Under the constraints of the discrete value ranges of the frequency hopping frequency points and the probability of selecting the full-duplex mode, the frequency hopping frequency points and the probability of selecting the full-duplex mode corresponding to the maximum successful transmission throughput are searched from the relationship graph.

6. The method according to claim 1, characterized in that The method further comprises: The number of frequency hopping points and the selection probability are periodically optimized using the S1-S3 method, wherein the optimization is performed within each period based on the communication environment parameters of the period; Each pair of communication devices is controlled to select full-duplex mode or half-duplex mode based on the optimized selection probability corresponding to each cycle, and all frequency points are determined based on the optimized number of frequency hopping points, and frequency points are randomly selected from them to perform frequency hopping communication according to the selected mode.

7. The method according to claim 1, characterized in that In S1, the successful transmission determination threshold is preset in the following manner: The fluctuation range of the signal to interference and noise ratio of the signal is determined according to the current application scenario, and the successful transmission determination threshold is set based on the fluctuation range of the signal to interference and noise ratio and the service requirements in the scenario.

8. A communication method for a large-scale self-organizing network system, the system comprising a plurality of D2D links, each D2D link corresponding to a pair of communication devices, each pair of communication devices being configured to support full-duplex mode, half-duplex mode, and frequency hopping technology for communication, the communication method comprising: Obtaining the optimized number of frequency hopping points and selection probability obtained based on the method of any one of claims 1-7; Based on the optimized number of frequency hopping points and the selection probability, the system is parameterized to control each pair of communication devices in the system to select full-duplex mode or half-duplex mode based on the optimized selection probability, and to determine all its frequency points based on the optimized number of frequency hopping points, and to randomly select frequency points therefrom to perform frequency hopping communication according to the selected mode.

9. A computer-readable storage medium, characterized in that A computer program is stored thereon, and the computer program can be executed by a processor to implement the steps of the method according to any one of claims 1 to 8.

10. An electronic device, characterized in that: include: one or more processors; as well as a memory, wherein the memory is used to store executable instructions; The one or more processors are configured to implement the steps of the method of any one of claims 1 to 8 by executing the executable instructions.

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