WO2023071023A1 - Procédé et appareil de transmission basés sur la combinaison d'une sélection d'extrémité d'envoi et de nœud de relais, et terminal - Google Patents

Procédé et appareil de transmission basés sur la combinaison d'une sélection d'extrémité d'envoi et de nœud de relais, et terminal Download PDF

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WO2023071023A1
WO2023071023A1 PCT/CN2022/080891 CN2022080891W WO2023071023A1 WO 2023071023 A1 WO2023071023 A1 WO 2023071023A1 CN 2022080891 W CN2022080891 W CN 2022080891W WO 2023071023 A1 WO2023071023 A1 WO 2023071023A1
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node
transmission
information
relay
sending
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PCT/CN2022/080891
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English (en)
Chinese (zh)
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倪光华
王世奇
李玉锋
谢天植
马琳
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中国电子科技集团公司第五十四研究所
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Publication of WO2023071023A1 publication Critical patent/WO2023071023A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
    • H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to the technical field of wireless communication, and in particular to a transmission method, device and terminal for joint selection of a sending end and a relay point.
  • the transmission of wireless signals carries energy as well as information. It has been proven feasible to use wireless signals for energy supply, and energy collection based on wireless electromagnetic waves is more stable.
  • the wireless energy transmission technology enables wireless devices in the network to meet energy requirements by collecting energy in wireless radio frequency signals.
  • Wireless energy transmission technology can effectively reduce network operating costs and improve communication performance.
  • wireless information transmission technology and energy transmission technology can be reasonably combined, and energy-efficient wireless information and energy transmission (Simultaneously Wireless Information and Power Transfer, SWIPT) program came into being.
  • SWIPT technology enables nodes to collect energy contained in wireless signals while receiving information normally, and store the energy in batteries.
  • the dual transmission of wireless information and energy of nodes in the system using the SWIPT scheme may lead to uneven resource allocation between the two, resulting in low energy efficiency, which in turn leads to energy waste or failure to meet system information transmission requirements, reducing network life.
  • the purpose of the present application is to provide a transmission method, device and terminal for joint transmission end and relay point selection, aiming to solve the problem of uneven resource allocation caused by information transmission and energy transmission, resulting in reduced network life.
  • the embodiment of the present application provides a transmission method for joint sending end and relay point selection, including:
  • the objective function is solved to obtain an optimal power allocation mode, an optimal time allocation factor and an optimal relay selection mode.
  • the embodiment of the present application provides a transmission device for joint sending end and relay point selection, including:
  • a calculation module configured to determine the transmission mode adopted for information transmission according to the information carried when the sending node sends information to the receiving node;
  • the calculation module is also used to calculate the total transmission rate and total power consumption of all nodes during the information transmission process according to the transmission mode and the information of the channel used for information transmission;
  • a model establishment module configured to establish an objective function and constraint conditions aiming at maximizing energy efficiency according to the total transmission rate and the total power consumption;
  • An optimization module configured to optimize the objective function
  • the calculation module is further configured to solve the objective function according to the constraints to obtain an optimal power allocation mode, an optimal time allocation factor and an optimal relay selection mode.
  • an embodiment of the present application provides a terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the computer program is implemented when the processor executes the computer program.
  • the transmission method provided in this application determines the transmission mode and the total transmission rate and total power consumption of all nodes in the process of information transmission, so as to establish the objective function and constraint conditions with the goal of maximizing energy efficiency.
  • the objective function is solved to obtain an optimal power allocation mode, an optimal time allocation factor and an optimal relay selection mode.
  • the transmission method provided by the present application can avoid the situation of always using the same node for information transmission through the selection of relay nodes, so as to balance the energy efficiency of the entire network.
  • Fig. 1 is the implementation flow diagram of the transmission method of joint sending end and relay point selection provided by the embodiment of the present application;
  • FIG. 2 is a schematic diagram of an energy-constrained wireless sensor network provided by an embodiment of the present application
  • FIG. 3 is a schematic diagram of a transmission structure provided by an embodiment of the present application.
  • FIG. 4 is a schematic diagram of convergence analysis based on different maximum transmission powers in the main loop iteration process provided by the embodiment of the present application;
  • Fig. 5 is a schematic diagram of the relationship between the inter-cluster distance and energy efficiency provided by the embodiment of the present application.
  • Fig. 6 is a schematic diagram of the relationship between the maximum capacity limit and energy efficiency provided by the embodiment of the present application.
  • Fig. 7 is a schematic diagram of the remaining capacity comparison provided by the embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a transmission device for joint sending end and relay point selection provided by an embodiment of the present application.
  • FIG. 9 is a schematic diagram of a terminal provided by an embodiment of the present application.
  • Fig. 1 is the realization flow diagram of a kind of transmission method of joint sending end and relay point selection provided by the embodiment of the present application, detailed description is as follows:
  • Step 101 according to the information carried by the sending node when the receiving node receives the information, determine the transmission mode adopted for information transmission.
  • Fig. 2 is a schematic diagram of an energy-constrained wireless sensor network.
  • the network shown in Figure 2 is composed of K wireless sensor clusters located in different areas.
  • the network shown in Figure 2 includes four types of nodes: common nodes (circled circles), cluster-head nodes S, relay nodes R and sink nodes.
  • solid circles represent candidate relay nodes.
  • Ordinary nodes are the most numerous nodes in each cluster, and are used to send information to the cluster head nodes in the cluster to which they belong.
  • Each cluster includes a cluster head node, and the cluster head node is a node in a cluster that communicates with other nodes in the cluster.
  • Relay nodes are located at the edge of two adjacent clusters and are used to forward information between cluster-head nodes.
  • the aggregation node may be a base station, and is used to receive information of all nodes.
  • clusters that are far away from the aggregation node need to help forward information through clusters that are closer to the aggregation node, so as to transmit the information to the aggregation node. That is, a cluster head node (sending node S) can transfer the collected information to the adjacent cluster head node (target node D), and the target node is the cluster head node of the cluster closest to the sink node. If the cluster head node of the adjacent cluster is also far away from the sink node, node S can choose other suitable cluster nodes (such as relay node R) around it as relay assistant to complete the information transmission process from S to D.
  • sending node S can transfer the collected information to the adjacent cluster head node (target node D), and the target node is the cluster head node of the cluster closest to the sink node.
  • node S can choose other suitable cluster nodes (such as relay node R) around it as relay assistant to complete the information transmission process from S to D.
  • cluster-head nodes can send information and energy at the same time, and the principle of transmission follows "whoever helps to forward will receive energy compensation".
  • Relay nodes can receive energy supplies.
  • the target node D also performs energy collection during the energy transmission stage.
  • the transmission structure is shown in Figure 3.
  • the transmission period is T, and the information transmission in each transmission period includes intra-cluster communication and inter-cluster communication.
  • the receiving node adopts a time switching (Time Switching, TS) mode for receiving.
  • the node is in a certain proportion of time (for example, in time) to receive information, another part of the time (for example, in time) for energy harvesting.
  • TS Time Switching
  • the sending node is an ordinary node, a relay node or a cluster head node in the wireless sensor network.
  • the receiving node is the cluster head node, relay node or target node in the wireless sensor network.
  • the sending node is an ordinary node
  • the receiving node is a cluster head node.
  • the sending node is a cluster head node
  • the receiving node is another cluster head node, a relay node or a target node.
  • the sending node is a relay node
  • the receiving node is a cluster head node or a target node.
  • the energy-constrained wireless sensor networks are applied in areas far away from active nodes, so the limited network lifetime caused by the passivity of the entire system has become a key issue in transmission design.
  • uplink information aggregation that is, the process of nodes transmitting information to the aggregation node, where the aggregation node can be a base station
  • the energy consumption of the nodes closer to the aggregation node is due to the task of forwarding the data of the farther nodes. higher.
  • the network that is far away from the sink node is mainly used to collect information in the area and upload it to the sink node. Optimizing the energy efficiency of the network can minimize the energy consumption of the entire network when transmitting the same amount of data.
  • nodes distributed at the intersection of two cluster areas often act as relay nodes for cooperative transmission, which also makes them consume more energy than other nodes.
  • the network will not be able to effectively transmit information, causing network paralysis. Therefore, the selection of relay nodes and the energy supply strategy have become the key research contents of cooperative transmission.
  • Applying wireless information and energy transmission technology to the network can effectively deal with the problem of excessive energy consumption of a single node. In the transmission design process, the imbalance between information transmission and energy consumption will lead to low energy efficiency.
  • This application optimizes energy efficiency and proposes a relay node selection method to achieve a balance between information transmission and energy consumption in a wireless sensor network, reducing the energy consumed by the entire network.
  • step 101 according to the information carried when the sending node sends information to the receiving node, the transmission mode adopted for information transmission is determined, which may include:
  • the normalized channel gain w TD between the sending node and the receiving node and the normalized channel gain between the relay node and the receiving node are calculated w RD and the normalized channel gain w TR between the sending node and the relay node;
  • the use of relay nodes can make the effective transmission rate faster, and it is determined that the second stage of information transmission adopts the relay transmission mode; when between w TR and w RD When the minimum value of is less than w TD , it is determined that the second-stage information transmission adopts the direct transmission mode;
  • the corresponding transmission rate is determined.
  • h represents the channel gain
  • ⁇ 2 represents the noise variance
  • determining the corresponding transmission rate according to the transmission mode and the channel information and transmission power information carried by the sending node may include:
  • R TD1 represents the transmission rate of the direct transmission mode
  • B represents the baseband transmission bandwidth
  • PT represents the transmission power of the sending node
  • T represents the length of the transmission cycle
  • R TD2 represents the transmission rate of the relay transmission mode
  • PR represents the relay node the sending power.
  • step 102 calculate the total transmission rate and total power consumption of all nodes during the information transmission process according to the transmission mode and the channel information used for information transmission.
  • the total transmission rate of the system is the rate of each target node in a unit time The sum of the amount of data transferred.
  • the total transmission rate of the system can be calculated according to the following formula
  • the total power consumed by the system can be calculated according to the following formula:
  • PCT indicates the circuit power consumption of cluster-head nodes
  • PCR indicates the circuit power consumption of relay nodes
  • P sum indicates the power consumed by nodes in the process of sending and receiving information.
  • step 103 according to the total transmission rate and total power consumption, an objective function and constraint conditions aiming at maximizing energy efficiency are established.
  • Energy efficiency is defined as the ratio of system transmission information rate to energy consumption, which means the amount of information that can be transmitted per unit energy, and the unit is bits/Joule (bits/Joule).
  • energy efficiency can also be defined as the ratio of spectral efficiency to energy consumption, in units of bits/Hz/Joule (bits/Hz/Joule). It balances the spectrum efficiency and energy consumption of the system, and is an important parameter to measure the green communication standard.
  • ⁇ * represents the maximum energy efficiency of the system
  • ⁇ represents the amplification factor of energy consumption in the whole transmission process
  • w rd represents the normalized channel gain between the rth relay node and the dth destination node
  • E(P t h tr ) represents the amount of nonlinear energy received
  • h tr represents the channel gain between the t-th sending node and the r-th relay node
  • h td represents the channel gain between the t-th sending node and the d-th target node
  • E r,0 represents the initial power of the relay node
  • Indicates the minimum energy consumption of relay nodes Represents the maximum information rate sent by the sending node
  • M t represents the maximum energy accommodated by the sending node
  • the function ⁇ k represents the input energy N k represents the highest charging power that the receiving node can accommodate, ⁇ k represents the energy receiving capacity coefficient of the node, a k and b k represent parameters determined by hardware such as the sensitivity of the node circuit and the degree of leakage.
  • step 104 optimize the objective function.
  • the established energy efficiency optimization problem is equivalently transformed into an optimization problem in the form of an equation, that is, the objective function is optimized.
  • the objective function is optimized.
  • the energy efficiency optimization problem is transformed into a given ⁇ , and the solution and make problem of maximization.
  • step 105 solve the objective function according to the constraint conditions, and obtain the optimal power allocation mode, the optimal time allocation factor and the optimal relay selection mode.
  • the equation can be solved.
  • a distributed solution algorithm is used to solve the equation.
  • the objective function is solved to obtain the optimal power allocation mode, the optimal time allocation factor and the optimal relay selection mode, including:
  • the energy efficiency optimization problem corresponding to the objective function is set as a convex optimization problem, and the Lagrangian dual processing is used to obtain the closed-form solutions of each power allocation method, time allocation factor and relay selection method;
  • the Lagrange operator is substituted into each closed-form solution to calculate the optimal power distribution method, the optimal time distribution factor and the optimal relay selection method.
  • ⁇ t can be understood as the tenth factor of the relay r used by the t-th sending node, and it is assumed that the transmission is under the condition of high signal-to-noise ratio, so that the energy efficiency optimization problem is transformed into a convex optimization problem.
  • the power allocation strategy is
  • the time allocation strategy is
  • N d represents the highest charging power accommodated by the d-th target node
  • N r represents the highest charging power accommodated by the r-th relay node
  • e * represents an exponential function
  • a r and b r represent the sensitivity of the circuit of the r-th relay node degree and leakage degree and other hardware-determined parameters
  • a d , b d represent hardware-determined parameters such as the sensitivity and leakage degree of the d-th target node circuit
  • a tr represents the t-th sending node to the r-th relay node
  • the parameters determined by hardware such as the sensitivity and leakage degree of the circuit between
  • a rd represent the parameters determined by hardware such as the sensitivity and leakage degree of the circuit between the r-th relay node and the d-th target node
  • a t represents Parameters determined by hardware such as the sensitivity and leakage degree of the t-th sending node circuit.
  • the relay node allocation strategy is
  • the benefit is compared with the criterion function, and the node corresponding to the benefit closest to the criterion function will be selected as the relay node.
  • the expression in the formula is to calculate the difference between the two, and make the difference The value is the smallest.
  • the above-mentioned transmission method selected by the joint sending end and relay point is simulated, and the simulation parameters used are not limited. In this embodiment, only the simulation parameters shown in Table 1 below are used.
  • Figure 5 shows the relationship between inter-cluster distance and energy efficiency. It can be seen from Figure 5 that no matter in the relay transmission mode or the direct transmission mode, the energy efficiency of the system decreases with the increase of the inter-cluster distance. This is mainly due to the attenuating characteristics of wireless channels. Further, it can be seen that the energy efficiency performance of the system in the relay transmission mode is better than that in the direct transmission mode.
  • the sending node S consumes the most energy, followed by the relay node R, and the destination node D consumes the least.
  • the strategies proposed in this application no matter whether it is a sending node, a relay node or a target node, the remaining energy exceeds the energy corresponding to the other three strategies.
  • the balance of the consumption of various nodes is also the best, that is, the remaining power between different types of nodes is the closest, which prolongs the life of the network.
  • the advantage of using the method provided by this application is the most obvious. This is because during the transmission process, after using the method provided by this application, the relay node collects more energy, so that the energy cost of its auxiliary transmission is greatly reduced.
  • This application provides a transmission method for the selection of the joint sender and relay point.
  • the goal of maximizing energy efficiency is established.
  • the objective function and constraint conditions; and according to the constraint conditions, the objective function is solved to obtain the optimal power allocation mode, the optimal time allocation factor and the optimal relay selection mode;
  • the duration of power, information and energy collection and relay selection strategy to improve the network life of the overall network, so that more information can be transmitted while consuming the same energy.
  • through the selection of relay nodes it is avoided to use the same node for information transmission all the time, so that the energy efficiency of the overall network can be balanced.
  • FIG. 8 shows a schematic structural diagram of a transmission device for joint sending end and relay point selection provided by an embodiment of the present application.
  • FIG. 8 only shows the parts related to the embodiment of the present application, and the details are as follows:
  • the transmission device for joint sending end and relay point selection includes: a calculation module 801 , a model building module 802 and an optimization module 803 .
  • Calculation module 801 configured to determine the transmission mode adopted for information transmission according to the information carried when the sending node sends information to the receiving node;
  • the calculation module 801 is further configured to calculate the total transmission rate and total power consumption of all nodes during the information transmission process according to the transmission mode and the channel information used for information transmission;
  • a model establishment module 802 configured to establish an objective function and constraint conditions aiming at maximizing energy efficiency according to the total transmission rate and the total power consumption;
  • the calculation module 801 is further configured to solve the objective function according to the constraint conditions to obtain an optimal power allocation mode, an optimal time allocation factor and an optimal relay selection mode.
  • the sending node is an ordinary node, a relay node or a cluster head node in the wireless sensor network
  • the receiving node is the cluster head node, the relay node or a target node in the wireless sensor network node;
  • the receiving node is the cluster head node; when the sending node is the cluster head node, the receiving node is other cluster head nodes, the relay node or the target node; when the sending node is the relay node, the receiving node is the cluster head node or the target node;
  • the common node is a node that sends information to the cluster head node of the cluster to which it belongs;
  • the cluster head node is a node that communicates with nodes in other clusters in a cluster;
  • the relay node is located at the edge of two adjacent clusters, and used for forwarding information between cluster head nodes;
  • the target node is the cluster head node in the cluster closest to the sink node.
  • calculation module 801 determines the transmission mode used for information transmission according to the information carried when the sending node sends information to the receiving node, it can be used for:
  • the normalized channel gain w TD between the sending node and the receiving node the normalized channel gain w TD between the relay node and the receiving node, and The normalized channel gain w RD of and the normalized channel gain w TR between the sending node and the relay node;
  • the calculation module 801 determines the corresponding transmission rate according to the transmission mode and the channel information and transmission power information carried by the sending node, it can be used for:
  • R TD1 represents the transmission rate of the direct transmission mode
  • B represents the baseband transmission bandwidth
  • PT represents the transmission power of the sending node
  • T represents the length of the transmission cycle
  • R TD2 represents the transmission rate of the relay transmission mode
  • PR represents the relay node the sending power.
  • calculation module 801 calculates the total transmission rate and total power consumption of all nodes in the process of information transmission according to the transmission mode and the information of the channel used for information transmission, it can be used for:
  • the objective function is
  • ⁇ * represents the maximum energy efficiency of the system
  • ⁇ represents the amplification factor of energy consumption in the whole transmission process
  • w rd represents the normalized channel gain between the rth relay node and the dth destination node
  • E(P t h tr ) represents the amount of nonlinear energy received
  • h tr represents the channel gain between the t-th sending node and the r-th relay node
  • h td represents the channel gain between the tth sending node and the dth target node
  • e r, 0 represents the initial power of the receiving node
  • Indicates the minimum energy consumption of the receiving node Indicates the maximum information rate sent by the sending node
  • M t indicates the maximum energy accommodated by the node
  • optimization module 803 when the optimization module 803 optimizes the objective function, it may be used for:
  • ⁇ represents the energy efficiency of the system, Indicates the error threshold at convergence
  • the calculation module 801 solves the objective function according to the constraints to obtain the optimal power allocation mode, the optimal time allocation factor, and the optimal relay selection mode. Used for:
  • the energy efficiency optimization problem corresponding to the objective function is set as a convex optimization problem, and Lagrangian dual processing is used to obtain closed-form solutions for each power allocation mode, time allocation factor, and relay selection mode;
  • the Lagrangian operator is substituted into each closed-form solution, and the optimal power allocation mode, the optimal time allocation factor and the optimal relay selection mode are calculated.
  • the transmission device selected by the above joint sending end and relay point determines the transmission mode used for information transmission and the total transmission rate and total power consumption of all nodes in the information transmission process through the calculation module, so that the model building module is established with the maximum energy efficiency as The objective function and constraint conditions of the target; and according to the constraint conditions, the optimization module solves the objective function to obtain the optimal power allocation mode, the optimal time allocation factor and the optimal relay selection mode; and then can By optimizing the transmission power, the duration of information and energy collection, and the relay selection strategy, the network life of the overall network can be improved, so that more information can be transmitted while consuming the same energy.
  • the selection of relay nodes it is avoided to use the same node for information transmission all the time, so that the energy efficiency of the overall network can be balanced.
  • FIG. 9 is a schematic diagram of a terminal provided by an embodiment of the present application.
  • the terminal 9 of this embodiment includes: a processor 90 , a memory 91 , and a computer program 92 stored in the memory 91 and operable on the processor 90 .
  • the processor 90 executes the computer program 92, it realizes the steps in the above embodiments of the transmission method for joint sending end and relay point selection, for example, step 101 to step 105 shown in FIG. 1 .
  • the processor 90 executes the computer program 92, it realizes the functions of the modules/units in the above-mentioned device embodiments, for example, the functions of the modules/units 801 to 803 shown in FIG. 8 .
  • the computer program 92 can be divided into one or more modules/units, and the one or more modules/units are stored in the memory 91 and executed by the processor 90 to complete this application.
  • the one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 92 in the terminal 9 .
  • the computer program 92 may be divided into modules/units 801 to 803 shown in FIG. 8 .
  • the terminal 9 may be a computing device such as a desktop computer, a notebook, a palmtop computer, or a cloud server.
  • the terminal 9 may include, but not limited to, a processor 90 and a memory 91 .
  • FIG. 9 is only an example of the terminal 9 and does not constitute a limitation to the terminal 9. It may include more or less components than shown in the figure, or combine some components, or different components, such as
  • the terminal may also include an input and output device, a network access device, a bus, and the like.
  • the so-called processor 90 can be a central processing unit (Central Processing Unit, CPU), and can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the storage 91 may be an internal storage unit of the terminal 9 , such as a hard disk or memory of the terminal 9 .
  • the memory 91 can also be an external storage device of the terminal 9, such as a plug-in hard disk equipped on the terminal 9, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash card (Flash Card), etc. Further, the memory 91 may also include both an internal storage unit of the terminal 9 and an external storage device.
  • the memory 91 is used to store the computer program and other programs and data required by the terminal.
  • the memory 91 can also be used to temporarily store data that has been output or will be output.
  • the disclosed device/terminal and method may be implemented in other ways.
  • the device/terminal embodiments described above are only illustrative.
  • the division of the modules or units is only a logical function division.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.
  • the integrated module/unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments in the present application can also be completed by instructing related hardware through computer programs.
  • the computer programs can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps of the above embodiments of the transmission method for joint sending end and relay point selection can be realized.
  • the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form.
  • the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (Read-Only Memory, ROM) , random access memory (Random Access Memory, RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excluding electrical carrier signals and telecommunication signals.

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Abstract

L'invention concerne un procédé et un appareil de transmission basés sur la combinaison d'une sélection d'extrémité d'envoi et de nœud de relais, et un terminal. Le procédé comprend les étapes suivantes : selon des informations portées lorsqu'un nœud d'envoi envoie des informations à un nœud de réception, détermination d'un mode de transmission utilisé par la transmission d'informations ; calcul du débit de transmission total et de la consommation d'énergie totale de tous les nœuds pendant la transmission d'informations selon le mode de transmission et des informations d'un canal utilisé par la transmission d'informations ; établissement, selon le débit de transmission total et la consommation d'énergie totale, d'une fonction objective et d'une condition de contrainte visant à l'efficacité énergétique maximale ; optimisation de la fonction objective ; et résolution de la fonction objective selon la condition de contrainte afin d'obtenir un mode de distribution d'énergie optimal, un facteur d'attribution de temps optimal et un mode de sélection de relais optimal.
PCT/CN2022/080891 2021-10-28 2022-03-15 Procédé et appareil de transmission basés sur la combinaison d'une sélection d'extrémité d'envoi et de nœud de relais, et terminal WO2023071023A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107295598A (zh) * 2017-08-08 2017-10-24 吉林大学 一种适用于能量和信息同传网络分组的中继选择方法
CN110519848A (zh) * 2019-07-22 2019-11-29 山东大学 一种认知中继无线传感器网络的联合资源分配方法
KR20200060290A (ko) * 2018-11-22 2020-05-29 한밭대학교 산학협력단 Ofdma swipt 시스템의 통합 자원 할당 장치 및 방법

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014180504A1 (fr) * 2013-05-08 2014-11-13 Sabanci Üniversitesi Protocole mac cooperatif a selection de relais et commande de puissance
CN106535284B (zh) * 2016-12-12 2019-06-18 西安电子科技大学 一种基于全双工中继的d2d通信中的功率控制方法
WO2018119673A1 (fr) * 2016-12-27 2018-07-05 深圳先进技术研究院 Système de communication transportant de l'énergie de relais, et procédé d'optimisation de débit de transmission et appareil associé
CN108811025B (zh) * 2018-05-23 2022-01-07 南京邮电大学 一种基于中继储能的无线携能通信协作传输方案
CN111866904A (zh) * 2019-04-26 2020-10-30 深圳先进技术研究院 中继网络能量效率最优分配方法、装置、终端及存储介质
CN110381519B (zh) * 2019-06-03 2023-03-24 中央民族大学 一种基于认知无线电双向中继的非正交多址传输方法
CN110808769B (zh) * 2019-11-13 2021-05-18 大连理工大学 基于ofdm放大转发协作中继的无线携能通信方法
CN111629419B (zh) * 2020-04-27 2022-04-08 扬州大学 适用于af中继系统的传输方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107295598A (zh) * 2017-08-08 2017-10-24 吉林大学 一种适用于能量和信息同传网络分组的中继选择方法
KR20200060290A (ko) * 2018-11-22 2020-05-29 한밭대학교 산학협력단 Ofdma swipt 시스템의 통합 자원 할당 장치 및 방법
CN110519848A (zh) * 2019-07-22 2019-11-29 山东大学 一种认知中继无线传感器网络的联合资源分配方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
WANG SHIQI; MA LIN; WU WEI: "An Optimal Energy-Efficient Transmission Design for SWIPT Systems in WSNs", 2021 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING (IWCMC), IEEE, 28 June 2021 (2021-06-28), pages 664 - 668, XP033955942, DOI: 10.1109/IWCMC51323.2021.9498619 *

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