Communication resource allocation method for power distribution network

Abstract

The invention relates to the technical field of communication management, and discloses a communication resource allocation method for a power distribution network, which comprises the following steps: a base station for allocating bandwidth resources to each communication device is used as a master node, each communication device is used as a slave node, and each slave node is only connected with one master node; constructing a target optimization function for minimizing the power control factor, and obtaining the optimal transmitting power of the communication equipment; calculating the transmission rate of the communication equipment based on the optimal transmitting power; and according to the transmission speed of each communication device, the base station allocates corresponding bandwidth resources to the communication device. According to the invention, by constructing the constraint of the target optimization function, the transmission rate of the communication equipment is improved, and meanwhile, more bandwidth resources are allocated to the communication equipment, so that the data transmission efficiency is improved, and the pressure of a communication network is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of communication management, and in particular to a communication resource allocation method for a power distribution network. Background Art

[0002] The distribution communication network is an important part of the construction of smart grids. Various regions have widely carried out the construction of distribution business systems such as distribution automation, power quality detection, real-time detection of distribution transformers, and distributed energy access, and promoted the construction of distribution network communication systems that are compatible with them. The technical route of Ethernet passive optical network (EPON), industrial Ethernet, wireless, and carrier composite networking has basically been formed, which effectively supports the operation of various types of smart distribution services. These communication devices are fixed, and when transmitting communication data packets, bandwidth resources are allocated by the base station, or fixed bandwidth has been allocated during construction. However, during the communication data transmission process, if the transmission is based on fixed bandwidth resources, the amount and rate of the transmitted data will be fixed, which is not conducive to improving the efficiency of communication data transmission. Summary of the invention

[0003] The purpose of the present invention is to improve the efficiency of communication data transmission and to provide a communication resource allocation method for a power distribution network.

[0004] In order to achieve the above-mentioned object of the invention, the embodiment of the present invention provides the following technical solutions:

[0005] A communication resource allocation method for a power distribution network comprises the following steps:

[0006] Step 1: The base station that allocates bandwidth resources to each communication device is used as the master node, and each communication device is used as a slave node, and each slave node is connected to only one master node;

[0007] Step 2: construct a target optimization function that minimizes the power control factor to obtain the optimal transmission power of the communication device;

[0008] Step 3, calculating the transmission rate of the communication device based on the optimal transmission power;

[0009] Step 4: According to the transmission speed of each communication device, the base station allocates corresponding bandwidth resources to it.

[0010] Furthermore, the step 2 specifically includes the following steps:

[0011] Assume that among the communication devices connected to the kth master node, the i-th communication device needs to transmit a data packet to the j-th communication device. The target optimization function constructed is:

[0012]

[0013] in, represents the power control factor of the i-th communication device in the t-th time slot; σ (t) represents the Gaussian white noise variance of the t-th time slot channel; η (t) represents the equivalent noise variance of the tth time slot; represents the transmission power of the i-th communication device in the t-th time slot; ψ Q represents the velocity vector; It represents the ratio of the data packets that need to be transmitted by the i-th communication device in the t-th time slot to the data packets that need to be transmitted by all communication devices connected to the master node k; γ is a constant; represents the channel vector when the i-th communication device transmits a data packet to the j-th communication device in the t-th time slot; i = 1, 2, ..., n, j = 1, 2, ..., n, n represents the number of slave nodes connected to the k-th master node, k = 1, 2, ..., M, M represents the number of master nodes in the communication network;

[0014] When minimizing the objective optimization function, the constraints are:

[0015] ψ Q ≥ψ min ;

[0016]

[0017] Among them, ψ min represents the minimum velocity vector; represents the channel vector when the i-th communication device transmits a data packet to the l-th communication device in the t-th time slot, and l represents other communication devices other than the communication device i connected to the k-th master node; ω i represents the channel weight of the i-th communication device; ω il represents the comprehensive channel weight between the ith communication device and the lth communication device; G i is the relaxation vector, representing the signal to interference and noise ratio of the i-th communication device; T represents the number of time slots.

[0018] Furthermore, the step 3 specifically includes the following steps:

[0019] When communication device i transmits a data packet to communication device j, the transmission rate of communication device i is calculated as:

[0020]

[0021] in, represents the transmission rate of data packets transmitted from the communication device i connected to the kth master node to the communication device j connected to the kth master node in the tth time slot; PL(d ij ) represents the path loss between communication device i and communication device j; PL(k ij) represents the path loss of the master node k; E0 represents the average signal-to-noise ratio; It represents the bandwidth resources that can be allocated to the master node k in the tth time slot.

[0022] Furthermore, the step 4 specifically includes the following steps:

[0023] When the master node allocates bandwidth resources according to the transmission rate, the following constraints need to be met:

[0024]

[0025] Wherein, n` represents the number of communication devices connected to the kth master node that need to transmit data packets in the tth time slot, and n`≤n; Indicates the bandwidth resources allocated to the i-th communication device in n` in the t-th time slot; It represents the bandwidth resources that can be allocated by the master node k in the tth time slot.

[0026] Compared with the prior art, the present invention has the following beneficial effects: the present invention increases the transmission power by minimizing the power control factor, thereby reducing the overall target optimization function. The ultimate goal is to increase the transmission rate of the communication device after increasing the transmission power, and at the same time allocate more bandwidth resources to the communication device, thereby improving data transmission efficiency and optimizing the pressure on the communication network. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 is a flow chart of the method of the present invention;

[0029] Figure 2 Schematic diagram of the connection relationship between the master node and the slave node in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0031] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance, or implying any such actual relationship or order between these entities or operations. In addition, terms such as "connected" and "coupled" can be directly connected between components or indirectly connected via other components.

[0032] Embodiment 1:

[0033] The present invention is implemented through the following technical solutions. As Figure 1 shown, a communication resource allocation method for a distribution network includes the following steps:

[0034] Step 1: Take the base station that allocates bandwidth resources to each communication device as the master node, and each communication device as the slave node, and each slave node is only connected to one master node.

[0035] Please refer to Figure 2 . In a large communication network, the base station sends and receives radio signals to the surrounding environment through the antenna system, and the geographical area it covers is called the service area. The main functions of the base station include signal encoding, decoding, modulation, demodulation, and spectrum allocation and power control for multiple communication devices (i.e., users) to ensure efficient and stable communication. For the convenience of base station management, each communication device is only connected to one base station in one time slot. One base station can be connected to multiple communication devices, and multiple communication devices can be connected to each other as appropriate. When the communication device transmits data, the base station allocates bandwidth resources to the communication device.

[0036] Define the base station as the master node and each communication network as the slave node. It can be understood that there are a total of N slave nodes and M master nodes in the communication network, M < N or M ≤ N. Assume that there are n slave nodes connected to the kth master node, n < N or n ≤ N, k = 1, 2,..., M.

[0037] Step 2: construct an objective optimization function that minimizes the power control factor to obtain the optimal transmission power of the communication device.

[0038] Assume that among the communication devices connected to the kth master node, the i-th communication device needs to transmit a data packet to the j-th communication device. The target optimization function constructed is:

[0039]

[0040] in, represents the power control factor of the i-th communication device in the t-th time slot, which is a factor used to determine how to adjust the transmission power during the power control process; σ (t) represents the Gaussian white noise variance of the t-th time slot channel, which can be obtained by conventional means; η (t) represents the equivalent noise variance of the t-th time slot, which is calculated based on the probability density function (PDF) or power spectral density (PSD); represents the transmission power of the i-th communication device in the t-th time slot; ψ Q represents the velocity vector; It represents the ratio of the data packets that need to be transmitted by the i-th communication device in the t-th time slot to the data packets that need to be transmitted by all communication devices connected to the master node k; γ is a constant; It represents the channel vector when the i-th communication device transmits a data packet to the j-th communication device in the t-th time slot; i=1,2,...,n, j=1,2,...,n, n represents the number of slave nodes connected to the k-th master node.

[0041] When minimizing the objective optimization function, the constraints are:

[0042] ψ Q ≥ψ min ;

[0043]

[0044] Among them, ψ min represents the minimum velocity vector; represents the channel vector when the i-th communication device transmits a data packet to the l-th communication device in the t-th time slot, and l represents other communication devices other than the communication device i connected to the k-th master node; ω i represents the channel weight of the i-th communication device; ω il represents the comprehensive channel weight between the ith communication device and the lth communication device; G i is the relaxation vector, representing the signal to interference and noise ratio of the i-th communication device; T represents the number of time slots.

[0045] Step 2 is to minimize the power control factor This increases the transmission power Make the overall target optimization function smaller, and the ultimate goal is to increase the transmission power After that, the transmission rate of communication device i is improved, and more bandwidth resources are allocated to communication device i, so as to improve data transmission efficiency and optimize the pressure of communication network.

[0046] Step 3: Calculate the transmission rate of the communication device based on the optimal transmission power.

[0047] When communication device i transmits a data packet to communication device j, the transmission rate of communication device i is calculated as:

[0048]

[0049] in, represents the transmission rate of data packets transmitted from the communication device i connected to the kth master node to the communication device j connected to the kth master node in the tth time slot; PL(d ij ) represents the path loss between communication device i and communication device j; PL(k ij ) represents the path loss of the master node k, which mainly affects the efficiency of the master node k in allocating bandwidth resources to the communication device i; E0 represents the average signal-to-noise ratio; It represents the bandwidth resources that can be allocated to the master node k in the tth time slot.

[0050] Step 4: According to the transmission speed of each communication device, the base station allocates corresponding bandwidth resources to it.

[0051] According to step 3, the transmission rate of the communication device i that needs to transmit the data packet in time slot t can be calculated The transmission rate is affected by its transmission power The master node allocates bandwidth for time slot t according to the transmission rate of the communication device that needs to transmit the data packet in the current time slot t. Communication devices with high transmission rates transmit more data packets, use more bandwidth resources, have fast transmission speeds, and high transmission efficiency, so the remaining data packet tasks will be reduced accordingly. However, when the master node allocates bandwidth resources according to the transmission rate, the following constraints need to be met:

[0052]

[0053] Wherein, n` represents the number of communication devices connected to the kth master node that need to transmit data packets in the tth time slot, and n`≤n; Indicates the bandwidth resources allocated to the i-th communication device in n` in the t-th time slot; It represents the bandwidth resources that can be allocated by the master node k in the tth time slot.

[0054] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A communication resource allocation method for a distribution network, characterized in that: The following steps are involved: Step 1: The base station that allocates bandwidth resources to each communication device is used as the master node, and each communication device is used as a slave node, and each slave node is connected to only one master node; Step 2: construct a target optimization function that minimizes the power control factor to obtain the optimal transmission power of the communication device; Step 3, calculating the transmission rate of the communication device based on the optimal transmission power; Step 4: According to the transmission speed of each communication device, the base station allocates corresponding bandwidth resources to it.

2. The communication resource allocation method for a distribution network according to claim 1, characterized in that: The step 2 specifically includes the following steps: Assume that among the communication devices connected to the kth master node, the i-th communication device needs to transmit a data packet to the j-th communication device. The target optimization function constructed is: in, represents the power control factor of the i-th communication device in the t-th time slot; σ (t) represents the Gaussian white noise variance of the t-th time slot channel; η (t) represents the equivalent noise variance of the tth time slot; represents the transmission power of the i-th communication device in the t-th time slot; ψ Q represents the velocity vector; It represents the ratio of the data packets that need to be transmitted by the i-th communication device in the t-th time slot to the data packets that need to be transmitted by all communication devices connected to the master node k; γ is a constant; represents the channel vector when the i-th communication device transmits a data packet to the j-th communication device in the t-th time slot; i = 1, 2, ..., n, j = 1, 2, ..., n, n represents the number of slave nodes connected to the k-th master node, k = 1, 2, ..., M, M represents the number of master nodes in the communication network; When minimizing the objective optimization function, the constraints are: ψ Q ≥ψ min ; Among them, ψ min represents the minimum velocity vector; represents the channel vector when the i-th communication device transmits a data packet to the l-th communication device in the t-th time slot, and l represents other communication devices other than the communication device i connected to the k-th master node; ω i represents the channel weight of the i-th communication device; ω il represents the comprehensive channel weight between the ith communication device and the lth communication device; G i is the relaxation vector, representing the signal to interference and noise ratio of the i-th communication device; T represents the number of time slots.

3. The communication resource allocation method for a power distribution network according to claim 2, characterized in that: The step 3 specifically comprises the following steps: When communication device i transmits a data packet to communication device j, the transmission rate of communication device i is calculated as: in, represents the transmission rate of data packets transmitted from the communication device i connected to the kth master node to the communication device j connected to the kth master node in the tth time slot; PL(d ij ) represents the path loss between communication device i and communication device j; PL(k ij ) represents the path loss of the master node k; E0 represents the average signal-to-noise ratio; It represents the bandwidth resources that can be allocated to the master node k in the tth time slot.

4. The communication resource allocation method for a power distribution network according to claim 3, characterized in that: The step 4 specifically comprises the following steps: When the master node allocates bandwidth resources according to the transmission rate, the following constraints need to be met: Among them, n' represents the number of communication devices connected to the kth master node that need to transmit data packets in the tth time slot, Indicates the bandwidth resources allocated to the i-th communication device in n` in the t-th time slot; It represents the bandwidth resources that can be allocated by the master node k in the tth time slot.

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