Mutual interference management and control method for large-scale self-organizing network

Abstract

The invention provides a mutual interference management and control method for a large-scale self-organizing network, which is used for managing and controlling communication between each pair of communication equipment in a self-organizing network system, and comprises the following steps: acquiring channel information of the system and a preset successful transmission judgment threshold value which is a minimum signal to interference plus noise ratio acceptable between the communication equipment; a frequency hopping technology and a duplex mode selection mechanism are introduced into the system, the mechanism is used for controlling each pair of communication equipment to select a full duplex mode or a half duplex mode for communication based on a selection probability, and respective discrete value ranges of a frequency hopping number and the selection probability under the frequency hopping technology are set; based on the discrete value ranges 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 under the constraint of the threshold value; and controlling each pair of communication equipment to select a full-duplex mode or a half-duplex mode based on the optimized selection probability, and performing frequency hopping communication according to the selected mode based on the optimized frequency hopping frequency point number.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, in particular to the field of self-organizing network communication, and more particularly to a mutual interference control method for large-scale self-organizing networks. Background Art

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

[0003] To meet the above challenges, wireless self-organizing (Ad Hoc) networks have gradually become the focus of attention. Self-organizing networks are a type of distributed network architecture that has the capabilities 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 autonomously adjust communication parameters based on its own communication needs and environmental changes. This design significantly improves the flexibility and scalability of the network, and is particularly suitable for dynamic or harsh communication environments, such as post-disaster rescue, military communications, and network coverage in remote areas. In addition, full-duplex technology, as a key innovation in recent years, allows nodes to perform sending and receiving operations at the same time, thereby significantly improving spectrum efficiency. Compared with traditional half-duplex communication methods, half-duplex requires time-sharing or frequency-sharing for communication, which easily leads to a waste of spectrum resources; while full-duplex technology can complete data transmission and reception on each channel at the same time, theoretically doubling the spectrum efficiency.

[0004] Combining full-duplex technology with self-organizing networks to form full-duplex self-organizing networks can maximize the use of spectrum 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 use full-duplex communication to improve data transmission rate and spectrum utilization.

[0005] However, since each node has the ability to send and receive, a key challenge in deploying large-scale full-duplex self-organizing networks is the complex interference management problem. Specifically, interference can be divided into two main categories: self-interference and mutual interference. In full-duplex communication, the transmitter and receiver of a node can work simultaneously, and the signal sent by the transmitter will directly interfere with the receiver of the same node. This phenomenon 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 power of the received signal, making it difficult for the receiver to accurately resolve external signals. Another type of interference is mutual interference, which is interference from other nodes in the network. Since full-duplex communication transmits and receives at the same time, each node in the network must not only deal with its own self-interference, but also with interference from other nodes, especially in self-organizing networks, which are often used in multi-node dense environments. This interference effect is particularly significant. In large-scale full-duplex self-organizing networks, mutual interference management is more challenging than self-interference because it involves complex multi-node collaboration and resource allocation issues. In particular, the cumulative effect of mutual interference can significantly reduce system performance, even lower than that of half-duplex networks. It can be seen that in order to improve the capacity of full-duplex networks, the mutual interference in the system must be effectively managed.

[0006] In recent years, self-interference suppression technology has made significant progress at both the 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 self-organizing networks, the mutual interference problem between nodes is still a key challenge affecting system performance.

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

[0008] In addition, the power control method aims to reduce interference to neighboring nodes by adjusting the node transmission power. Although this method is effective in small-scale networks, in large-scale full-duplex networks, the complexity of power adjustment and the coordination cost increase due to the significant increase in node density, making it difficult to find a balance between suppressing interference and ensuring communication quality.

[0009] Beamforming technology reduces interference through directional transmission and relies on accurate channel information. However, in large-scale self-organizing networks, this technology is difficult to implement, and the real-time feedback and calculation overhead of channel status are high, affecting the overall efficiency of the system.

[0010] Existing mutual interference control methods have many problems in large-scale full-duplex self-organizing networks: high complexity of power control and beamforming, low communication quality and efficiency, and limited network capacity improvement; frequency hopping technology frequently switches frequencies, resulting in low spectrum utilization efficiency, reduced communication capacity, increased complexity, and limited spectrum resources, making it difficult to effectively solve the mutual interference problem. In general, existing methods are difficult to balance the problems of mutual interference suppression and communication capacity guarantee. Therefore, there is an urgent need for a mutual interference control method that can both guarantee system performance and effectively optimize network capacity.

[0011] It should be noted that this background technology is only used to introduce the relevant information of the present invention to help understand the technical solution of the present invention, but it does not mean that the relevant information is necessarily the prior art. The relevant information is submitted and disclosed together with the present invention solution. If there is no evidence that the relevant information has been disclosed before the application date of the present invention, the relevant information shall not be regarded as the prior art. Summary of the invention

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

[0013] The objective of the present invention is achieved through the following technical solutions:

[0014] According to a first aspect of the present invention, a mutual interference control method for a large-scale self-organizing network is provided, which is used to control the communication between each pair of communication devices in a device-to-device self-organizing network system, and the method comprises: S1, obtaining the communication environment parameters of the system, which include channel information and a preset successful transmission judgment threshold, which is the minimum signal-to-interference-noise ratio acceptable between the communication devices; S2, introducing frequency hopping technology and a duplex mode selection mechanism in the system, which mechanism is used to control each pair of communication devices to select full-duplex mode or half-duplex mode communication based on the 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, based on the channel information, the number of frequency hopping points and the discrete value ranges of the selection probability, optimizing the number of frequency hopping points and the selection probability, and the optimization goal is 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 full-duplex mode or half-duplex mode based on the selection probability optimized by S3, and determining all frequency points based on the number of frequency hopping points optimized by S3, and randomly selecting frequency points from them to perform frequency hopping communication according to the selected mode.

[0015] In some embodiments of the present invention, the S3 includes: S31, constructing a model for calculating the successful transmission throughput of the system based on channel information, a successful transmission judgment threshold, the number of frequency hopping frequencies to be optimized and the selection probability; S32, constructing an objective function with maximizing the value of the model as the optimization target based on the discrete value ranges of the number of frequency hopping frequencies and the selection probability; S33, solving the optimized number of frequency hopping frequencies and the selection probability based on the objective function.

[0016] In some embodiments of the present invention, in S31, the selection probability includes the probability of selecting the full-duplex mode, and the form of the model is as follows:

[0017] ,

[0018] 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 frequency point after the frequency hopping frequency point division. represents the probability of selecting full-duplex mode to be optimized, represents 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 communicating devices chooses full-duplex mode is And the frequency hopping points are The probability of successful transmission.

[0019] In some embodiments of the present invention, in 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, and the objective function is in the following form:

[0020] ,

[0021] 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 that the system can support. 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.

[0022] In some embodiments of the present invention, in S33, the solution method includes: performing simulation calculations based on the model to obtain simulation calculation results, including successful transmission throughputs corresponding to different numbers of frequency hopping frequencies and probabilities of selecting full-duplex mode; drawing a relationship diagram between the successful transmission throughput and the number of frequency hopping frequencies and the probability of selecting full-duplex mode according to the simulation calculation results; and searching the relationship diagram for the number of frequency hopping frequencies and the probability of selecting full-duplex mode that correspond to the maximum successful transmission throughput, under the constraints of the discrete value ranges of the number of frequency hopping frequencies and the probability of selecting full-duplex mode.

[0023] In some embodiments of the present invention, the method also includes: periodically optimizing the number of frequency hopping points and the selection probability using the S1-S3 method, wherein optimization is performed within each cycle based on the communication environment parameters of the cycle; controlling each pair of communication devices to select full-duplex mode or half-duplex mode based on the optimized selection probability corresponding to each cycle, and determining all frequency points based on the optimized number of frequency hopping points, and randomly selecting frequency points therefrom to perform frequency hopping communication according to the selected mode.

[0024] In some embodiments of the present invention, in S1, the preset method of the successful transmission determination threshold includes: determining a fluctuation range of a signal to interference plus noise ratio of a signal according to a current application scenario, and setting the successful transmission determination threshold based on the fluctuation range of the signal to interference plus noise ratio and a business requirement in the scenario.

[0025] According to a second aspect of the present invention, there is provided 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 an optimized number of frequency hopping frequencies and a selection probability obtained based on the method described in the first aspect of the present invention; performing parameter configuration on the system based on the optimized number of frequency hopping frequencies and the selection probability, so as 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 frequency points based on the optimized number of frequency hopping frequencies, and to randomly select frequency points therefrom for frequency hopping communication according to the selected mode.

[0026] According to a third aspect of the present invention, there is provided an electronic device 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 method of the first aspect and the second aspect of the present invention by executing the executable instructions.

[0027] Compared with the prior art, the advantages of the present invention are:

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

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

[0030] Figure 1 A schematic diagram of a mutual interference control method for a large-scale self-organizing network according to an embodiment of the present invention;

[0031] Figure 2 It is a schematic diagram of the overall process of a mutual interference control method for a large-scale self-organizing network according to an embodiment of the present invention;

[0032] Figure 3 A schematic diagram showing comparison results of mutual interference between communication devices before and after mutual interference control according to an embodiment of the present invention;

[0033] Figure 4 A schematic diagram showing a comparison result of mutual interference between a self-organizing network system using the method of the present invention and a self-organizing network system not using the method of the present invention according to an embodiment of the present invention;

[0034] Figure 5 It is a schematic diagram showing the throughput comparison results of a self-organizing network system adopting the method of the present invention and a self-organizing network system not adopting the method of the present invention according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0036] As mentioned in the background technology section, existing mutual interference control methods have many problems in large-scale full-duplex self-organizing networks: power control and beamforming are highly complex, communication quality and efficiency are low, and network capacity is limited; frequency hopping technology frequently switches frequencies, resulting in low spectrum utilization efficiency, reduced communication capacity, increased complexity, and limited spectrum resources, making it difficult to effectively solve the mutual interference problem. In general, existing methods are difficult to balance the problems of mutual interference suppression and communication capacity guarantee.

[0037] In response to the above problems, the inventors proposed a mutual interference control method for large-scale self-organizing networks, which 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 in the system 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 the selection probability. Among them, the inventors analyzed and found that: the more frequency hopping points in the frequency hopping technology, the smaller the interference, but it will reduce the transmission throughput of the communication equipment, and more devices choosing full-duplex mode will increase the throughput, but as the number of devices choosing full-duplex mode increases, it will cause serious mutual interference between devices, resulting in a decrease in system throughput. Therefore, the method of the present invention combines the frequency hopping technology and the duplex mode selection mechanism, and optimizes the number of frequency hopping points and the selection probability at the same time under the constraint of the minimum acceptable signal to interference plus noise ratio (SINR) between communication devices, that is, under the constraint of the maximum acceptable interference intensity. The optimization goal is to maximize the successful transmission throughput of the system, which not only achieves good mutual interference control in the network system, but also ensures the maximization of the communication capacity of the network system.

[0038] According to an embodiment of the present invention, a device-to-device self-organizing network system is introduced and described. The system is a device-to-device (D2D) self-organizing network system that mixes full-duplex (FD) mode and half-duplex (HD) mode and has a random frequency hopping function. The system includes multiple D2D links, and a 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, assuming that the system (system is based on The number of communication nodes in ,in, is a positive integer, and each communication node forms a D2D link with its nearest neighbor communication node. Mark, then the nearest neighbor communication node paired with it will use Mark, this satisfies , that is, the average distance between node pairs is Among them, a pair of communication devices corresponding to each D2D link is configured to support FD and HD, that is, the duplex mode can be freely selected between FD and HD, and the mutual interference between communication devices can be reduced by frequency hopping technology.

[0039] According to one embodiment of the present invention, see Figure 1, which is a flow chart of a mutual interference control method for a large-scale self-organizing network. The method includes steps S1, S2, S3 and S4. In order to better understand the present invention, each step is described in detail below in conjunction with specific embodiments.

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

[0041] According to an embodiment of the present invention, in a large-scale self-organizing network, it is first necessary to determine key parameters according to the actual communication environment, including: channel information, communication device density and the successful transmission determination threshold The channel information includes parameters such as the distance between the transmitting device and the receiving device, channel gain, path loss, and background noise between each pair of communication devices.

[0042] According to one embodiment of the present invention, the communication device density :The density of communication equipment directly affects the degree of interference in the network, so it is necessary to estimate or measure the distribution density of communication equipment according to the actual application scenario (such as urban or rural environment). Ways to obtain this parameter include: obtaining the number of communication equipment and the location information of each communication equipment through simulation tools or on-site broadcasts, so as to estimate and analyze the site and obtain the density of communication equipment .

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

[0044] According to an embodiment of the present invention, the preset method of the successful transmission determination threshold includes: determining the fluctuation range of the signal interference noise ratio of the signal according to the current application scenario, and setting the successful transmission determination threshold based on the fluctuation range of the signal interference noise ratio and the business needs in the scenario. The technical solution of this embodiment can at least achieve the following beneficial technical effects: the preset method can dynamically adjust the system parameters, which is particularly suitable for complex network environments with high-density node distribution. At the same time, it is set based on the signal interference noise ratio range and for different business needs, which can cope with different interference scenarios, significantly improve the flexibility, robustness and transmission performance of the system, and has broad application prospects.

[0045] The following is an example of a preset threshold for successful transmission:

[0046] Example 1: For high-definition video streaming services, the bit error rate is required to be lower than To ensure video quality. Through theoretical analysis and preliminary tests, it is known that in this 5G system, when SINR reaches 20dB, it can meet the bit error rate requirements of high-definition video stream transmission. In indoor office areas, the signal is relatively stable and the interference is small. SINR is usually between 25dB-35dB. Therefore, for high-definition video services in indoor office scenarios, the successful transmission judgment threshold (also called SINR judgment threshold) can be preset to 20dB.

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

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

[0049] The frequency hopping technology (FH) introduced in step S2 is introduced as follows: This technology is a communication method that uses a pseudo-random sequence to control the carrier frequency to jump rapidly according to a specific rule. Its core principle is that each pair of communication devices synchronously switches the working frequency point according to a predetermined pseudo-random sequence, and the residence time of each frequency point is extremely short (such as milliseconds). Among them, the number of hopping frequency points under the frequency hopping technology is Refers to the number of discrete frequencies available to the system, which directly affects the anti-interference performance and system complexity. The more frequency points there are, the more random the frequency hopping pattern is, the higher the anti-interference ability is, but the higher the complexity is. If the number of frequency hopping points is 5, the available communication frequency band will be divided into 5 frequency points, recorded as 1, 2, 3, 4, and 5, and then a pair of communication devices in a D2D link will share the same frequency point for communication. For example, a pair of communication devices a and b communicate with each other at the same time using frequency point 2. That is, each pair of communication devices in the system will use the frequency hopping technology to communicate with each other. A frequency point is randomly selected from the frequency hopping frequencies for frequency hopping communication.

[0050] According to one embodiment of the present invention, the selection probability includes the probability of selecting the full-duplex mode. and the probability of selecting half-duplex mode The principle of the duplex mode selection mechanism introduced in the system: It is used to control each pair of communication devices to have a probability of Select full-duplex mode for communication, with probability Select half-duplex mode for communication.

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

[0052] Set the frequency hopping points : The frequency hopping points usually have a discrete value range of 1 to According to one embodiment of the present invention, the number of frequency hopping points of the system is set The discrete value range of ,in, The maximum number of frequency hopping points that the system can support.

[0053] Set the probability of selecting full-duplex mode :exist Within the range, set a reasonable probability step size according to the actual communication scenario and service requirements. , the discrete value range of the probability of the device selecting full-duplex mode is determined according to the probability step size. In principle, if If it is set to 0.2, the discrete value range of probability is ,Right now .

[0054] The technical solution of the embodiment of the above-mentioned step S2 can at least achieve the following beneficial technical effects: by introducing frequency hopping technology and duplex mode selection mechanism, it is convenient to subsequently optimize the number of frequency hopping points and the probability of the device selecting full-duplex / half-duplex mode, thereby achieving effective control over mutual interference suppression.

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

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

[0057] Step S31: construct 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 frequencies to be optimized and the selection probability.

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

[0059] , (1)

[0060] 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 frequency point after the frequency hopping frequency point division. represents the probability of selecting full-duplex mode to be optimized, represents 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 communicating devices chooses full-duplex mode is And the frequency hopping points are The probability of successful transmission.

[0061] According to an embodiment of the present invention, the process of constructing the model of the successful transmission throughput of the computing system is described below:

[0062] In this system, it is assumed that the communication devices are arranged in a density The uniform Poisson point process (PPP) is randomly distributed in the two-dimensional plane The system is within a given area M. The communication device receives the The power of the signal sent by a communication device It can be expressed by the following formula (2).

[0063] , (2)

[0064] in, Indicates The transmission power of each communication device, Indicates The communication equipment and The channel gain between the communicating devices, Indicates The communication equipment and The distance between the communication devices, represents the path loss exponent and Assumptions With The communication equipment and The locations of the communication devices are independent and follow the Rayleigh model of unit expected exponential distribution, that is, , are identically and independently distributed.

[0065] Based on the above signal power calculation principle, the successful transmission throughput is deduced. The derivation process includes the following 1)-6):

[0066] 1) Give the Signal-to-interference-noise ratio of a communication device in the communication link of a D2D link , will Communication devices are marked as , the communication device that forms a D2D link with it will use Mark. Among them, The calculation is as follows:

[0067] , (3)

[0068] in, Indicates communication equipment Receiving communication equipment The power of the transmitted signal, , Indicates communication equipment The transmission power, Indicates the device To device The channel gain is assumed to be It follows an exponential distribution, Indicates communication equipment To communication equipment The distance represents the path loss, represents the background noise, Indicates the mode selection indication function. When the communication device and communication equipment In full-duplex mode, is 1, otherwise is 0, represents the residual self-interference, Represents the mutual interference between communication devices. , here we consider linear elimination modeling, represents the self-interference cancellation coefficient. The calculation formula can be expressed as follows:

[0069] , (4)

[0070] in, Represents a pair of communicating devices represented by a D2D link under study and The set of communication devices that cause mutual interference, that is, the set of communication devices that use the same frequency and send information at the same time as the pair of communication devices under study, Indicates communication devices that cause mutual interference. It corresponds to a mutually interfering communication device set density, denoted as .

[0071] 2) Give the The probability of successful transmission of a communication device in the communication link of the D2D link , The calculation formula is as follows:

[0072] , (5)

[0073] in, It means to find the probability, Indicates the successful transmission determination threshold set according to the communication channel environment. Greater than or equal to The information can be successfully transmitted when the value of

[0074] 3) The value calculated by formula (3) Substituting into the above formula (5), we can get the following formula:

[0075] , (6)

[0076] 4) Utilize And its cumulative distribution function properties , and further get the following formula:

[0077] , (7)

[0078] 5) Using the Laplace transform function representation method to process equation (7), we can get the following equation:

[0079] , (8)

[0080] in, represents the inverse of the path loss, Indicates mutual interference The Laplace transform of can be further derived by mathematical transformation of equation (8):

[0081] , (9)

[0082] in, Indicates communication equipment The corresponding density of mutually interfering communication devices, and Represents the integral variable introduced in the calculation.

[0083] 6) According to Slivnyak's theorem, the statistical properties of a typical communication device at a specific location are true for any general communication device at any general location. The derived successful transmission probability can be applied to any communication device in the communication network. Therefore, under a fixed bandwidth length, the number of data packets successfully transmitted per time slot per unit area is defined as the successful transmission throughput of the system, and its corresponding expression is shown in the above formula (1): .

[0084] Among them, in formula (1) The calculation formula is as follows:

[0085] , (10)

[0086] in, Indicates the mutual interference suffered by any communication device. express The corresponding Laplace transform, the specific calculation formula is:

[0087] , (11)

[0088] in, represents the mutual interference communication device density corresponding to any pair of communication devices, is the probability that any pair of communicating devices will choose full-duplex mode. , Frequency hopping points , the number of communication device pairs and communication device density (number of communication devices per unit area) Through mathematical induction, we can get its expression as follows:

[0089] , (12)

[0090] According to one embodiment of the present invention, by substituting (10), (11) and (12) into formula (1), formula (1) can be rewritten as follows:

[0091] , (13)

[0092] in, , , when the system gives and hour, and is a constant.

[0093] Among them, it can be seen from formula (13) that the successful transmission throughput Frequency Hopping Points and the probability of selecting full-duplex mode Decision. When is small, the limited number of frequency hopping points leads to low spectrum resource utilization, high mutual interference intensity, and reduced probability of successful transmission, resulting in low throughput. On the contrary, a larger This will over-disperse spectrum resources, reduce the bandwidth of each frequency point, and lead to a decrease in throughput. and There is 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 Increasing the full-duplex device density will initially increase throughput. However, it also increases the mutual interference between communicating devices, reducing the probability of successful transmission, that is, reducing the successful transmission throughput. Therefore, too high or too low Both are not conducive to capacity improvement, which also shows that there is an optimal The present invention derives a closed-form solution for the successful transmission throughput of the system and proves that there is an optimal number of frequency hopping points. and the probability of selecting full-duplex mode Maximize the successful transmission throughput so that the optimal , thereby determining The best combination.

[0094] Step S32: construct an objective function with maximizing the model value as the optimization target based on the discrete value ranges of the frequency hopping frequency points and the selection probability.

[0095] According to an embodiment of the present invention, 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:

[0096] , (14)

[0097] 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 that the system can support. 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.

[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 successful transmission throughputs corresponding to different numbers of frequency hopping frequencies and probabilities of selecting full-duplex mode; drawing a relationship diagram between the successful transmission throughput and the number of frequency hopping frequencies and the probability of selecting full-duplex mode based on the simulation calculation results; and searching the relationship diagram for the number of frequency hopping frequencies and the probability of selecting full-duplex mode that correspond to the maximum successful transmission throughput, under the constraints of the discrete value ranges of the number of frequency hopping frequencies and the probability of selecting full-duplex mode.

[0100] According to an 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 frequency hopping points that meet the constraint conditions through grid search. and full-duplex selection probability , and compare their corresponding successful transmission throughput The size of the frequency hopping points and the probability of selecting the full-duplex mode corresponding to the maximum successful transmission throughput are identified, and the optimized frequency hopping points and the probability of optimizing the full-duplex mode are obtained, which are recorded as . And the probability of optimizing the half-duplex mode is recorded as .

[0101] The relationship diagram is drawn in such a way that the X-axis represents the change in the number of frequency hopping points, the Y-axis represents the change in the probability of full-duplex selection, and the Z-axis or the color depth represents the successful transmission throughput value, thereby constructing the relationship diagram. By observing the relationship diagram, the throughput performance under different combinations of the number of frequency hopping points and the probability of selecting the full-duplex mode can be identified, thereby 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 throughputs 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 invention can also perform mutual interference control by setting the discrete value ranges of the number of frequency hopping points and the probability of selecting the half-duplex mode, and optimizing the number of frequency hopping points and the probability of selecting the half-duplex mode, and the present invention is not limited to this.

[0104] In step S4, each pair of communication devices is controlled to select full-duplex mode or half-duplex mode based on the selection probability optimized in S3, and all frequency points are determined based on the number of frequency hopping points optimized in S3, and frequency points are randomly selected from them to perform frequency hopping communication according to the selected mode.

[0105] According to an embodiment of the present invention, according to the optimized frequency hopping frequency point number and full-duplex selection probability The optimized frequency hopping points obtained by each pair of communication devices in the control system based on the steps of the above embodiment are and full-duplex selection probability Performs duplex mode selection and frequency hopping for communication.

[0106] According to one embodiment of the present invention, the mutual interference control method also includes: periodically optimizing the number of frequency hopping points and the selection probability in the manner of S1-S3, wherein the communication environment parameters based on the cycle are optimized in each cycle; controlling each pair of communication devices to select full-duplex mode or half-duplex mode based on the optimized selection probability corresponding to each cycle, and determining all frequency points based on the optimized number of frequency hopping points, and randomly selecting frequency points from them for frequency hopping communication according to the selected mode. Among them, the communication environment parameters that may change at each moment can be obtained by periodically evaluating the network status. The technical solution of this embodiment can at least achieve the following beneficial technical effects: before each communication cycle, according to the current channel environment and the successful transmission judgment threshold, it is re-determined with what probability to select full-duplex or half-duplex communication again, and the number of frequency hopping points will also be re-determined before each communication cycle, so as to realize the dynamic adjustment of the number of frequency hopping points and probability, so as to stably maintain the maximization of the successful transmission throughput in each time period.

[0107] Indicatively, if the first cycle is based on the optimized frequency hopping frequency points and full-duplex selection probability After selecting the full-duplex mode, the communication will be in full-duplex mode during the first cycle until the next cycle. Then, the optimized frequency hopping points will be re-determined in the next cycle. and full-duplex selection probability If the half-duplex mode is selected for the next cycle, communication will be carried out in the half-duplex mode during the next cycle.

[0108] In general, according to one embodiment of the present invention, see Figure 2 , which is a schematic diagram of the overall process of the mutual interference control method for large-scale self-organizing networks. At the beginning, the communication environment parameters of the system are determined, and then the discrete value ranges of the frequency hopping points and the selection probability in the duplex mode selection mechanism are set; then, in order to optimize the frequency hopping points and the selection probability, an optimization objective function is pre-constructed. The goal of the optimization objective function is to maximize the successful transmission throughput, and then a computer simulation system is used to draw a successful transmission throughput variation graph, which is a relationship graph between the successful transmission throughput and the frequency hopping points and the probability of selecting the full-duplex mode. Based on this graph, the frequency hopping points and the probability of selecting the full-duplex mode corresponding to the maximum successful transmission throughput are searched. Finally, the parameters are determined and the system is configured, including the determined frequency hopping points and the probability of selecting the full-duplex mode, that is, the optimized frequency hopping points are determined. , the probability of selecting full-duplex mode and the probability of selecting half-duplex mode , these determined parameters are sent to each communication device to complete the system configuration and end the current process.

[0109] According to one embodiment of the present invention, there is provided 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 communication supporting frequency hopping technology, the communication method comprising: obtaining an optimized number of frequency hopping frequencies and a selection probability obtained based on the method described in the above embodiment; based on the optimized number of frequency hopping frequencies and the selection probability, performing parameter configuration on the system 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 frequency points based on the optimized number of frequency hopping frequencies, and to randomly select frequency points therefrom to perform frequency hopping communication according to the selected mode.

[0110] According to an embodiment of the present invention, when configuring system parameters, frequency hopping technology configuration and 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 optimizing the number of frequency hopping points Parameters are sent to each communication device to ensure that each communication device performs random frequency hopping according to the predetermined optimal frequency hopping points. ② Duplex mode selection mechanism configuration: The communication devices in the system are configured to support the duplex mode selection mechanism, and the optimized selection probability parameters are sent to each communication device, so that each communication device can select the duplex mode with probability. Select full-duplex mode communication, with probability Select half-duplex mode communication.

[0111] Indicatively, see Figure 3, which is a schematic diagram of the comparison of the mutual interference of communication devices before and after mutual interference control. The figure shows 5 pairs of communication devices corresponding to the 5 D2D links in the system. The system on the left represents communication without mutual interference control, all of which adopt full-duplex mode and all select frequency hopping frequency 1 for communication; the system on the right represents mutual interference control, and some communication device pairs select frequency hopping frequency 1 for communication, and some communication device pairs select frequency hopping frequency 2 for communication. Assuming that the communication device in a middle D2D link and the communication device connected to it are studied, it can be found that the interference links of the communication devices are significantly reduced, and there are only expected links between some communication device pairs (that is, there are no interference links during communication), so that the present invention achieves good mutual interference control capabilities.

[0112] In order to verify the beneficial effects of the present invention, the inventors conducted the following comparative experiments:

[0113] First, consider an area of The network system area, where the communication nodes in the area are based on the communication equipment density. In addition, assuming that the MAC layer access probability is .

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

[0115] Simulation system parameters

[0116]

[0117] Finally, in order to simplify the analysis, only co-frequency interference is considered in the calculation of mutual interference (that is, mutual interference is considered only when different communication devices use the same frequency band to communicate at the same time). On the basis of this analysis, the mutual interference degree and throughput corresponding to the communication in the self-organizing network system using the method of the present invention and not using the method of the present invention are tested, and the mutual interference degree of the two methods and the throughput of the two methods are statistically compared to obtain the mutual interference comparison results and the throughput comparison results. Among them, the self-organizing network system that does not use the method of the present invention refers to: a conventional full-duplex self-organizing network system that does not introduce any interference control technology and uses full-duplex mode for communication.

[0118] The mutual interference comparison results can be found in Figure 4 , which is a schematic diagram of the comparison of the mutual interference degree of the self-organizing network system using the method of the present invention and not using the method of the present invention. In the figure, the horizontal axis is the node density (i.e., the density of communication equipment), the unit is the number of communication equipment per square kilometer, the ordinate is the average interference intensity, the unit is W, and the results in the figure show that in a system without mutual interference control, the average mutual interference intensity will increase approximately linearly with the increase of node density. After adopting the mutual interference control method of the present invention, the mutual interference intensity will be maintained at a relatively low intensity as a whole, and the mutual interference intensity under high node density will be greatly reduced. For example, when the node density is 0.8, the mutual interference control method of the present invention will reduce the mutual interference intensity by nearly 10 times.

[0119] The throughput comparison results can be found in Figure 5 , which is a schematic diagram of the throughput comparison results of the self-organizing network system using the method of the present invention and not using the method of the present invention. In the figure, the horizontal axis is the node density (i.e., the density of communication equipment), the unit is the number of communication equipment per square kilometer, the ordinate is the average throughput, the unit is bps / Hz, and the results in the figure show that in a system without mutual interference control, the throughput drops sharply and approaches zero at high node density, which seriously affects the communication performance. On the contrary, after applying the mutual interference control method of the present invention, the throughput of all node densities can be significantly improved, especially at this time, the increase in transmission capacity at high density can exceed 100 times.

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

[0121] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0122] A computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. Computer-readable storage media may include, for example, but are not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: a portable computer disk, 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 disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a protruding structure in a groove on which instructions are stored, and any suitable combination thereof.

[0123] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art 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 communication environment parameters of the system, which include channel information and a preset successful transmission determination threshold, where the threshold is the minimum signal-to-interference-noise ratio acceptable between communication devices; S2. Introducing frequency hopping technology and duplex mode selection mechanism into 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 selection probability, and setting the discrete value range of the number of frequency hopping points and the selection probability under the frequency hopping technology; S3, based on the channel information, the number of frequency hopping points and the discrete value ranges of the selection probability, optimizing the number of frequency hopping points and 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, controlling each pair of communication devices to select full-duplex mode or half-duplex mode based on the selection probability optimized by S3, and determining all frequency points based on the number of frequency hopping points optimized by S3, and randomly selecting frequency points therefrom 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 according to 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 the maximization model value as the optimization target; 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 frequency point after the frequency hopping frequency point division. represents the probability of selecting full-duplex mode to be optimized, represents 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 communicating 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 frequency hopping frequency 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 that the system can support. 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 calculation based on the model to obtain simulation calculation results, including successful transmission throughput corresponding to different numbers of frequency hopping frequencies and probabilities of selecting full-duplex mode; According to the simulation results, the relationship between the successful transmission throughput and the number of frequency hopping points and the probability of selecting full-duplex mode is plotted; 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 in the manner of S1-S3, wherein the optimization is performed in 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 preset method of the successful transmission determination threshold includes: The fluctuation range of the signal to interference plus 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 plus 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 one of claims 1-7; Based on the optimized number of frequency hopping points and the selection probability, the system is configured with parameters 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 1-8 by executing the executable instructions.

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