Optimization Method, Device and Medium for Energy and Data Simultaneous Transmission System of Fluid Antenna

Abstract

The present invention discloses an optimization method, device and medium for a data and energy co - transmission system of a fluid - state antenna, including the following steps: calculating the data outage probability and energy outage probability of all ports of the fluid - state antenna in the state without power allocation; maximizing the energy efficiency of the data and energy co - transmission system under constraint conditions to obtain the optimized corresponding ports and energy harvesting power, wherein the constraint conditions include that the transmission power of each base - station antenna is greater than 0 and less than the total transmission power of the base - station antennas, the data outage probability of each user in the power - allocation state is less than the data outage probability before optimization, and the energy outage probability of each user is less than the energy outage probability before optimization. It can significantly improve the communication rate while improving the energy efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of optimization methods for digital and power simultaneous transmission systems, and specifically relates to an optimization method, device and medium for a digital and power simultaneous transmission system of a flow antenna. Background Art

[0002] With the continuous development of mobile communication technology, the number of access devices in wireless networks is showing explosive growth, reaching hundreds of millions. This trend has brought a series of severe challenges. For example, many small devices have both data transmission needs and energy constraints. In recent years, the simultaneous wireless information and power transfer (SWIPT) technology has received widespread attention in the academic community. The simultaneous wireless information and power transfer technology refers to the technology that uses the characteristics of wireless radio frequency signals that can carry information and energy at the same time to receive information and energy from a radio frequency signal at the same time. This technology flexibly meets the dual needs of massive devices by providing radio frequency energy while transmitting data to access devices, and shows significant advantages in data communication and energy supply. In addition, small devices have strict requirements on antenna size and energy consumption. However, traditional multi-antenna technology is often large in size and high in energy consumption. This is because the antenna position for information collection and energy collection in the traditional fixed-position antenna (FPA) system-assisted simultaneous wireless information and power transfer system is usually fixed, and the performance improvement depends largely on the increase in the number of antennas, which leads to an increase in energy consumption, which is almost unacceptable for small mobile devices. The emergence of Fluid Antenna (FA) has become a potential technology to solve this problem, because Fluid Antenna provides the ability to dynamically adjust the position and shape of the antenna, thereby effectively reconstructing the channel, thereby achieving sufficient diversity gain in a very small space, thereby significantly improving communication performance.

[0003] However, there is no method to optimize the digital and power simultaneous interpretation system assisted by the fluidic antenna so far. Summary of the invention

[0004] The present invention proposes an optimization method, device and medium for a digital and energy simultaneous transmission system of a flow antenna, which can significantly increase the communication rate while improving energy efficiency.

[0005] The objective of the present invention is achieved through the following technical solutions:

[0006] The first aspect of the present invention discloses a method for optimizing a digital simultaneous transmission system of a flow antenna, comprising the following steps:

[0007] Calculate the data interruption probability and energy interruption probability of all ports of the flow antenna without power allocation;

[0008] The energy efficiency of the data-energy simultaneous transmission system is maximized under constraints to obtain the optimized corresponding ports and energy collection powers, wherein the constraints include that the transmission power of each base station antenna is greater than 0 and less than the total transmission power of the base station antenna, the data interruption probability of each user in the power allocation state is less than the data interruption probability before optimization, and the energy interruption probability of each user is less than the energy interruption probability before optimization.

[0009] The second aspect of the present invention discloses an optimization device for a digital simultaneous interpretation system of a flow antenna, comprising a memory and a controller that are communicatively connected in sequence, wherein a computer program is stored in the memory, and the controller is used to read the computer program and execute the optimization method for a digital simultaneous interpretation system of a flow antenna described in the first aspect.

[0010] The third aspect of the present invention discloses a computer-readable storage medium having instructions stored thereon. When the instructions are executed on a computer, the optimization method of the digital and energy simultaneous transmission system of a flow antenna described in the first aspect is executed.

[0011] The beneficial effects of the present invention are:

[0012] By adopting the method of the present invention, the communication rate can be significantly increased while improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0016] 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 invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0018] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0019] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use, or the positions or positional relationships commonly understood by those skilled in the art, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0020] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] The first aspect of the present invention discloses an optimization method for a digital and energy simultaneous transmission system of a fluid antenna. Before describing the optimization method in detail, the digital and energy simultaneous transmission system of the fluid antenna of the present scheme is first introduced.

[0022] Specifically, the digital and energy simultaneous transmission system of the flow antenna includes a base station 1 and users. Base station 1 is configured Base station antenna, which is a traditional antenna, such as sector antenna, array antenna, microstrip antenna; and for the user end, configure A single flow antenna 2 with 10 ports, each traditional antenna serves one user end, then the mth traditional antenna and the mth The first user Channels per port It is expressed as:

[0023] ,

[0024] , , , They are all independent Gaussian random variables with mean 0 and variance 1; is the correlation coefficient, j represents the imaginary number sign, and its calculation formula is:

[0025] ,

[0026] in, is the length of the flow antenna, represents the generalized hypergeometric function, where a and b are integers greater than or equal to 1. is a Bessel function of the first kind of order 1, is a natural number less than or equal to N.

[0027] For the receiver: the user end uses power splitting to receive the received signal, one part is used for data processing and the other part is used for energy collection. The base station sends the data to the user end. A Gaussian signal, The base station sends the data to the user end. Gaussian signal, the user end No. Data signal at port for:

[0028] ,

[0029] in, For base station antenna To the user side The transmission power, For base station antenna To the user side The transmission power, Indicates From base station antenna to user end The distance Indicates the base station From base station antenna to user end distance, β is the path loss factor, is the division coefficient; It is the user side No. The complex additive white Gaussian noise AWGN of the ports has a mean of zero and a variance of ; It is The corresponding passband to baseband noise of each user end is, Indicates From base station antenna to user end Channel, Indicates From base station antenna to user end channel.

[0030] Assumptions , , P is the total transmission power of the base station antenna,

[0031] The first User's The signal to interference ratio (SIR) at each port is:

[0032] ,

[0033] Indicates The base station antenna and the The first user The number of channels of ports; N is the total number of user terminals; and are all natural numbers less than or equal to N.

[0034] No. The energy signal at each port is:

[0035] ,

[0036] Assumptions , , then User's The power collected at each port can be expressed as:

[0037] .

[0038] For the above system, Figure 1 As shown, the optimization method of the present invention includes step S11 to step S12. It should be noted that the step identifiers in this solution are only for the convenience of explaining the method and do not constitute a sequence limitation. The sequence of each step is based on its language description and the sequence of each signal.

[0039] Step S11, calculating the data interruption probability and energy interruption probability of all ports of the flow antenna in a state where no power allocation is performed.

[0040] In this step, there are multiple methods for calculating the data interruption probability and the energy interruption probability, for example, an interruption probability calculation method oriented toward data transmission and an interruption probability calculation method oriented toward energy transmission.

[0041] Specifically, when calculating the interruption probability based on data transmission:

[0042] If the port switching strategy is oriented to the performance of receiving data, then The probability of data interruption per port It is expressed as:

[0043] ,

[0044] in, is the data receiving threshold.

[0045] The specific calculation formula for data interruption probability is:

[0046] ,

[0047] in,

[0048] ,

[0049] Indicates that the maximum value between 0 and the value in brackets is taken. is the total number of ports of the flow antenna, is less than or equal to The natural number of is the data receiving threshold, SIR is the signal-to-interference ratio of the port; is the correlation coefficient; is the number of user terminals, C is the calculation parameter, is less than or equal to The natural number of for The factorial of .

[0050] In addition, under the port switching strategy oriented to receiving data performance, The power threshold collected by each port is Under the conditions of The energy interruption probability of a port is :

[0051] ,

[0052] The optimal port location.

[0053] The specific calculation formula is:

[0054] ,

[0055] in, is the energy harvesting power threshold, is the division coefficient; is the gamma function, P is the transmit power of each base station antenna, d is the distance from the base station antenna to the user end, and β is the path loss factor; is the incomplete gamma function.

[0056] When calculating the interruption probability with energy transfer as the guide:

[0057] If the port switching strategy is guided by the receiving energy performance, then The probability of energy interruption at all ports of the flow antenna of a user for:

[0058] ,

[0059] is the energy harvesting power threshold, For the User's The energy collected by the port.

[0060] Specifically:

[0061] ,

[0062] in, is a natural number less than or equal to N-1, , is the modified energy harvesting power threshold, is the division coefficient, P is the total transmission power of the base station antenna, μ is the correlation coefficient, is the generalized hypergeometric function; is the number of user terminals; is the total number of ports of the flow antenna; Indicates that the maximum value between 0 and the value in brackets is taken. is the gamma function, for The factorial of represents the exponential function, is less than or equal to A natural number.

[0063] Under the port switching strategy with the maximum energy harvesting power, the probability of data interruption It is expressed as:

[0064] ,

[0065] The specific calculation formula is:

[0066] .

[0067] Step S12, maximize the energy efficiency of the data and energy simultaneous transmission system under constraints, and obtain the optimized corresponding ports and energy collection powers, wherein the constraints include that the power of each base station antenna is greater than 0 and less than the total transmission power of the base station antenna, the data interruption probability of each user in the power allocation state is less than the data interruption probability before optimization, and the energy interruption probability of each user is less than the energy interruption probability before optimization.

[0068] Specifically, in this step, the constraints are:

[0069]

[0070]

[0071]

[0072] ,

[0073] in, For base station antenna To the user side The transmission power, P C is the power consumed by the hardware, and P is the total transmit power of the base station antenna; , Indicates From base station antenna to user end The channel, Indicates From base station antenna to user end The channel gain, Indicates From base station antenna to user end The channel gain, B is the channel bandwidth, represents the set of all user terminals, N is the total number of user terminals, For the user side No. The energy collected by each port is Indicates From base station antenna to user end The distance Indicates the base station From base station antenna to user end The distance is the data receiving threshold,

[0074] represents the constraint on the probability of data interruption, It indicates the probability that the signal-to-interference ratio is less than the signal-to-interference ratio receiving threshold. represents the constraint on the probability of energy interruption, Indicates the probability that the collected energy is less than the energy receiving threshold.

[0075] The second aspect of the present invention discloses an optimization device for a digital simultaneous transmission system of a flow antenna, comprising a memory and a controller connected in sequence, wherein a computer program is stored on the memory, and the controller is used to read the computer program and execute the optimization method of a digital simultaneous transmission system of a flow antenna described in the first aspect. Specifically, the memory may include, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a flash memory (Flash Memory), a first-in-first-out memory (FIFO) and / or a first-in-last-out memory (FILO), etc.; the controller may not be limited to a microcontroller of the STM32F105 series. In addition, the computer device may also include, but is not limited to, a power supply unit, a display screen and other necessary components.

[0076] The third aspect of the present invention discloses a computer-readable storage medium having instructions stored thereon, characterized in that when the instructions are run on a computer, the optimization method for a digital and energy simultaneous transmission system of a flow antenna described in the first aspect is executed.

[0077] The operating principles of the devices and media disclosed in the second and third aspects of the present invention are detailed in the first aspect and will not be elaborated here.

[0078] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A method for optimizing a digital and energy simultaneous transmission system of a flow antenna, characterized in that: The following steps are involved: Calculate the data interruption probability and energy interruption probability of all ports of the flow antenna without power allocation; Maximize the energy efficiency of the data-energy simultaneous transmission system under constraints, and obtain the optimized corresponding ports and energy collection power, wherein the constraints include that the transmission power of each base station antenna is greater than 0 and less than the total transmission power of the base station antenna, the data interruption probability of each user in the power allocation state is less than the data interruption probability before optimization, and the energy interruption probability of each user is less than the energy interruption probability before optimization; The calculation of the data interruption probability and the energy interruption probability of all ports of the flow antenna in the state where no power allocation is performed includes: Calculate the The probability of data interruption on all ports of the streaming antenna of a user : ， in, ， Indicates that the maximum value between 0 and the value in brackets is taken. is the total number of ports of the flow antenna, is less than or equal to A natural number; C is a calculation parameter, is the data receiving threshold; is the correlation coefficient; is the number of user terminals; is less than or equal to The natural number of for The factorial of; Calculate the The probability of energy interruption at all ports of the flow antenna of a user : ， in, is the energy harvesting power threshold, is the division coefficient; is the gamma function, is the total transmission power of the base station antenna, d is the distance from the base station antenna to the user end, and β is the path loss factor; is the incomplete gamma function; The method of maximizing the energy efficiency of the data-energy simultaneous transmission system under constraints to obtain the optimized corresponding ports and energy collection power includes: ， in, For base station antenna To the user side The transmission power, For base station antenna To the user side The transmission power, P C is the power consumed by the hardware, and P is the total transmit power of the base station antenna; , Indicates From base station antenna to user end The channel, Indicates From base station antenna to user end The channel gain, Indicates From base station antenna to user end The channel gain, B is the channel bandwidth, represents the set of all user terminals, N is the total number of user terminals, For the user side No. The energy collected by each port is Indicates From base station antenna to user end The distance Indicates the base station From base station antenna to user end The distance is the data receiving threshold, β is the path loss factor, is the division coefficient, is the energy harvesting power threshold, For the User's The signal-to-interference ratio at each port; represents the constraint on the probability of data interruption, It indicates the probability that the signal-to-interference ratio is less than the signal-to-interference ratio receiving threshold. represents the constraint on the probability of energy interruption, Indicates the probability that the collected energy is less than the energy receiving threshold.

2. A method for optimizing a digital and energy simultaneous transmission system of a flow antenna, characterized in that: The following steps are involved: Calculate the data interruption probability and energy interruption probability of all ports of the flow antenna without power allocation; Maximize the energy efficiency of the data-energy simultaneous transmission system under constraints, and obtain the optimized corresponding ports and energy collection power, wherein the constraints include that the transmission power of each base station antenna is greater than 0 and less than the total transmission power of the base station antenna, the data interruption probability of each user in the power allocation state is less than the data interruption probability before optimization, and the energy interruption probability of each user is less than the energy interruption probability before optimization; The calculation of the data interruption probability and the energy interruption probability of all ports of the flow antenna in the state where no power allocation is performed includes: Calculate the The probability of energy interruption at all ports of the flow antenna of a user : ， in, is a natural number less than or equal to N-1, , is the energy harvesting power threshold, is the modified energy harvesting power threshold, is the division coefficient, P is the total transmission power of the base station antenna, μ is the correlation coefficient, is the generalized hypergeometric function; is the number of user terminals; is the total number of ports of the flow antenna; Indicates that the maximum value between 0 and the value in brackets is taken. is the gamma function, for The factorial of; Calculate the data interruption probability of all ports of the flow antenna : , in, is the data receiving threshold; The method of maximizing the energy efficiency of the data-energy simultaneous transmission system under constraints to obtain the optimized corresponding ports and energy collection power includes: ， in, For base station antenna To the user side The transmission power, For base station antenna To the user side The transmission power, P C is the power consumed by the hardware, and P is the total transmit power of the base station antenna; , Indicates From base station antenna to user end The channel, Indicates From base station antenna to user end The channel gain, Indicates From base station antenna to user end The channel gain, B is the channel bandwidth, represents the set of all user terminals, N is the total number of user terminals, For the user side No. The energy collected by each port is Indicates From base station antenna to user end The distance Indicates the base station From base station antenna to user end The distance is the data receiving threshold, β is the path loss factor, is the division coefficient, is the energy harvesting power threshold, For the User's The signal-to-interference ratio at each port; represents the constraint on the probability of data interruption, It indicates the probability that the signal-to-interference ratio is less than the signal-to-interference ratio receiving threshold. represents the constraint on the probability of energy interruption, Indicates the probability that the collected energy is less than the energy receiving threshold.

3. An optimization device for a digital simultaneous transmission system of a flow antenna, comprising a memory and a controller connected in sequence, wherein a computer program is stored in the memory, characterized in that: The controller is used to read the computer program and execute the optimization method of the digital and energy simultaneous transmission system of a flow antenna as described in claim 1 or 2.

4. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed on a computer, the optimization method of a digital and energy simultaneous transmission system of a flow antenna as described in claim 1 or 2 is executed.

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