CN117915461A - Ultra-large-scale array near-far mixed field transmission power distribution method, system, medium and equipment - Google Patents
Ultra-large-scale array near-far mixed field transmission power distribution method, system, medium and equipment Download PDFInfo
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- H—ELECTRICITY
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- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
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Abstract
The present disclosure relates to a method, system, medium and apparatus for ultra-large scale array near-far mixed field transmission power allocation, the method comprising: acquiring user position information parameters and acquiring the number of antenna units in an antenna array; calculating to obtain user channel gain and user channel correlation based on the user position information parameters and the number of antenna units; obtaining a user power requirement based on the user channel gain and the user channel correlation in combination with a user spectral efficiency requirement; and calculating a power allocation scheme for allocating the maximum supportable user number based on the user power requirement and the total power of the base station. The system and method of the present disclosure take into account the near field channel, resulting in a more accurate user power requirement; the power distribution scheme for maximizing the supportable user number in the near-far field hybrid communication system is obtained, and the phenomenon that the power distribution is zero is avoided; in addition to being applicable in a near-far field hybrid communication system, it can also be applicable to a pure far field or pure near field communication system.
Description
Technical Field
The present disclosure relates to the field of wireless communication technology, and more particularly, to a method, system, medium and apparatus for ultra-large scale array near-far mixed field transmission power allocation.
Background
As antenna arrays become larger in size, users may not be in the far field of the base station or in the near field of the base station when communicating with the base station. When two co-located users come from far field to near field, their steering vectors change from the same to different and then from difficult to distinguish by the base station to distinguishable by the base station, the power allocation scheme should also change accordingly, and the existing work lacks research on this aspect.
In a wireless communication transmission scene, a beam forming technology is often adopted to directionally direct signals to users, so that the loss of electromagnetic waves in the propagation process is compensated. This technique requires that the base station have limited power allocated to each user. In general, the criterion for allocating power is that the sum of the spectrum efficiency received by each user after allocation can reach the maximum. If the minimum quality of communication requirements of individual users are taken into account, a constraint of minimum spectral efficiency requirements per user needs to be added.
Existing beamforming often uses zero forcing beamforming. The core technology of the beam forming is that a precoding matrix of a base station end is designed so that a certain user does not receive signals sent to other users at all, thereby improving the signal-to-interference-and-noise ratio and further improving the sum of frequency spectrum efficiency. The power allocation algorithm uses a water injection algorithm, and the algorithm maximizes the sum of the user spectrum efficiency by allocating power by calculating the relation between the power allocated to the user by the base station and the power actually received by the user and the relation between the power actually received by the user and the spectrum efficiency received by the user.
However, the beamforming technology considers that the users are in far field, and then the problem that the users at the same angle cannot be distinguished by the base station and cannot be distributed to power occurs.
Disclosure of Invention
The invention mainly aims to solve the technical problems that the prior art does not have a characteristic based on a near-far mixed field, derives the power required by supporting a certain user under the condition of giving the relation among the total power of a base station, the number of antenna units of the base station, the position of the user and the spectrum efficiency requirement of the user, and designs a corresponding transmission scheme.
In order to achieve the above technical object, the present disclosure provides a method for distributing transmission power of near-far mixed fields of a super-large-scale array, the method comprising:
acquiring user position information parameters and acquiring the number of antenna units in an antenna array;
Calculating to obtain user channel gain and user channel correlation based on the user position information parameters and the number of antenna units;
obtaining a user power requirement based on the user channel gain and the user channel correlation in combination with a user spectral efficiency requirement;
And calculating a power allocation scheme for allocating the maximum supportable user number based on the user power requirement and the total power of the base station.
Further, the calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna units specifically includes:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
Further, the calculating, by the distance and the angle of the user relative to the array, the distance between each unit of the antenna array and the user, to obtain the user channel gain specifically includes:
channel h k for user k is expressed as:
Where r k represents the distance from the center of the antenna array to user k, and r kn represents the distance from the nth element of the antenna array to user k; λ represents a user location information parameter; n represents the number of antenna units of the antenna array and is a positive integer not less than the total number of users;
the channel gain G k is calculated as:
Further, user channel correlation represents similarity between channel vectors of two users;
After obtaining the user channel, the user channel correlation is obtained by vector inner product, and the obtaining the user channel correlation specifically comprises:
User channel correlation f (i, j):
user channel correlation matrix B:
Further, the obtaining the user power requirement based on the user channel gain and the user channel correlation in combination with the user spectrum efficiency requirement specifically includes:
According to the spectrum efficiency requirement R k of the user k, the noise power σ 2 is calculated to obtain the required received power p k as follows:
according to the relation between the power p ak distributed to the user by the base station and the received power p k:
The power requirement p need,k of the user is obtained as follows:
further, after obtaining the power demand of the user, the base station distributes power to the user according to the order from small to large of the power demand of the user;
The scheme for maximizing the supportable user number is as follows, if the user with the mth small power requirement is user c m: user c 1 is allocated its required power, user c 2 is allocated its required power, and so on until the power of the base station is insufficient to support the next user.
To achieve the above technical object, the present disclosure also provides a super-large-scale array near-far mixed field transmission power distribution system, the system comprising:
The parameter acquisition module is used for acquiring the user position information parameters and acquiring the number of antenna units in the antenna array;
The calculation module is used for calculating and obtaining user channel gain and user channel correlation based on the user position information parameters and the number of the antenna units;
The demand analysis module is used for obtaining a user power demand based on the user channel gain and the user channel correlation and combining a user spectrum efficiency demand;
and the power distribution module is used for calculating and distributing a power distribution scheme for maximizing the supportable user number based on the user power requirement and the total power of the base station.
Further, the calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna units specifically includes:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
Further, the calculating, by the distance and the angle of the user relative to the array, the distance between each unit of the antenna array and the user, to obtain the user channel gain specifically includes:
channel h k for user k is expressed as:
Where r k represents the distance from the center of the antenna array to user k, and r kn represents the distance from the nth element of the antenna array to user k; λ represents a user location information parameter; n represents the number of antenna units of the antenna array and is a positive integer not less than the total number of users;
the channel gain G k is calculated as:
Further, user channel correlation represents similarity between channel vectors of two users;
After obtaining the user channel, the user channel correlation is obtained by vector inner product, and the obtaining the user channel correlation specifically comprises:
User channel correlation f (i, j):
user channel correlation matrix B:
Further, the obtaining the user power requirement based on the user channel gain and the user channel correlation in combination with the user spectrum efficiency requirement specifically includes:
According to the spectrum efficiency requirement R k of the user k, the noise power σ 2 is calculated to obtain the required received power p k as follows:
according to the relation between the power p ak distributed to the user by the base station and the received power p k:
The power requirement p need,k of the user is obtained as follows:
further, after obtaining the power demand of the user, the base station distributes power to the user according to the order from small to large of the power demand of the user;
The scheme for maximizing the supportable user number is as follows, if the user with the mth small power requirement is user c m: user c 1 is allocated its required power, user c 2 is allocated its required power, and so on until the power of the base station is insufficient to support the next user.
To achieve the above technical object, the present disclosure also provides a computer storage medium having a computer program stored thereon, which when executed by a processor is configured to implement the steps of the above-described super-large-scale array near-far mixed field transmission power allocation method.
In order to achieve the above technical purpose, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor implements the steps of the above method for allocating transmission power of near-far mixed fields of a very large-scale array when executing the computer program.
The beneficial effects of the present disclosure are:
The system and method of the present disclosure take into account the near field channel resulting in a more accurate user power requirement.
The system and the method disclosed by the invention obtain a power distribution scheme for maximizing the supportable user number in the near-far field hybrid communication system, and avoid the phenomenon that the power distribution is zero.
The systems and methods of the present disclosure may be applicable to pure far field or pure near field communication systems, in addition to near-far field hybrid communication systems.
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FIG. 1 shows a schematic flow diagram of a first embodiment of the present disclosure;
Fig. 2 shows a schematic structural diagram of a second embodiment of the present disclosure;
fig. 3 shows a schematic structural diagram of a fourth embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.
Various structural schematic diagrams according to embodiments of the present disclosure are shown in the drawings. The figures are not drawn to scale, wherein certain details are exaggerated for clarity of presentation and may have been omitted. The shapes of the various regions, layers and relative sizes, positional relationships between them shown in the drawings are merely exemplary, may in practice deviate due to manufacturing tolerances or technical limitations, and one skilled in the art may additionally design regions/layers having different shapes, sizes, relative positions as actually required.
Embodiment one:
as shown in fig. 1:
The present disclosure provides a method for distributing transmission power of a near-far mixed field of a very large scale array, the method comprising:
s101: acquiring user position information parameters and acquiring the number of antenna units in an antenna array;
s102: calculating to obtain user channel gain and user channel correlation based on the user position information parameters and the number of antenna units;
S103: obtaining a user power requirement based on the user channel gain and the user channel correlation in combination with a user spectral efficiency requirement;
S104: and calculating a power allocation scheme for allocating the maximum supportable user number based on the user power requirement and the total power of the base station.
Further, the calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna units specifically includes:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
Further, the calculating, by the distance and the angle of the user relative to the array, the distance between each unit of the antenna array and the user, to obtain the user channel gain specifically includes:
channel h k for user k is expressed as:
Where r k represents the distance from the center of the antenna array to user k, and r kn represents the distance from the nth element of the antenna array to user k; λ represents a user location information parameter; n represents the number of antenna units of the antenna array and is a positive integer not less than the total number of users;
the channel gain G k is calculated as:
Further, user channel correlation represents similarity between channel vectors of two users;
After obtaining the user channel, the user channel correlation is obtained by vector inner product, and the obtaining the user channel correlation specifically comprises:
User channel correlation f (i, j):
user channel correlation matrix B:
Further, the obtaining the user power requirement based on the user channel gain and the user channel correlation in combination with the user spectrum efficiency requirement specifically includes:
According to the spectrum efficiency requirement R k of the user k, the noise power σ 2 is calculated to obtain the required received power p k as follows:
according to the relation between the power p ak distributed to the user by the base station and the received power p k:
The power requirement p need,k of the user is obtained as follows:
further, after obtaining the power demand of the user, the base station distributes power to the user according to the order from small to large of the power demand of the user;
The scheme for maximizing the supportable user number is as follows, if the user with the mth small power requirement is user c m: user c 1 is allocated its required power, user c 2 is allocated its required power, and so on until the power of the base station is insufficient to support the next user.
Embodiment two:
As shown in fig. 2:
To achieve the above technical object, the present disclosure also provides a super-large-scale array near-far mixed field transmission power distribution system, the system comprising:
the parameter acquisition module 201 is configured to acquire a user location information parameter and acquire the number of antenna units in the antenna array;
A calculating module 202, configured to calculate a user channel gain and a user channel correlation based on the user location information parameter and the number of antenna units;
a requirement analysis module 203, configured to obtain a user power requirement based on the user channel gain and the user channel correlation in combination with a user spectrum efficiency requirement;
A power allocation module 204, configured to calculate a power allocation scheme for allocating a maximum number of supportable users based on the user power requirement and the total power of the base station.
Further, the calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna units specifically includes:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
Further, the calculating, by the distance and the angle of the user relative to the array, the distance between each unit of the antenna array and the user, to obtain the user channel gain specifically includes:
channel h k for user k is expressed as:
Where r k represents the distance from the center of the antenna array to user k, and r kn represents the distance from the nth element of the antenna array to user k; λ represents a user location information parameter; n represents the number of antenna units of the antenna array and is a positive integer not less than the total number of users;
the channel gain G k is calculated as:
Further, user channel correlation represents similarity between channel vectors of two users;
After obtaining the user channel, the user channel correlation is obtained by vector inner product, and the obtaining the user channel correlation specifically comprises:
User channel correlation f (i, j):
user channel correlation matrix B:
Further, the obtaining the user power requirement based on the user channel gain and the user channel correlation in combination with the user spectrum efficiency requirement specifically includes:
According to the spectrum efficiency requirement R k of the user k, the noise power σ 2 is calculated to obtain the required received power p k as follows:
according to the relation between the power p ak distributed to the user by the base station and the received power p k:
The power requirement p need,k of the user is obtained as follows:
further, after obtaining the power demand of the user, the base station distributes power to the user according to the order from small to large of the power demand of the user;
The scheme for maximizing the supportable user number is as follows, if the user with the mth small power requirement is user c m: user c 1 is allocated its required power, user c 2 is allocated its required power, and so on until the power of the base station is insufficient to support the next user.
Embodiment III:
the present disclosure also provides a computer storage medium having stored thereon a computer program for implementing the steps of the above described super large scale array near far mixed field transmission power allocation method when executed by a processor.
The computer storage media of the present disclosure may be implemented using semiconductor memory, magnetic core memory, drum memory, or magnetic disk memory.
Semiconductor memory devices mainly used for computers mainly include two types, mos and bipolar. The Mos device has high integration level, simple process and slower speed. Bipolar devices have complex processes, high power consumption, low integration, and high speed. NMos and CMos have been developed to make Mos memories begin to dominate semiconductor memories. NMos is fast, for example, the access time of 1K bit static random access memory of Intel corporation is 45ns. And the CMos has low power consumption, and the access time of the CMos static memory with 4K bits is 300ns. The semiconductor memories are all Random Access Memories (RAM), i.e. new contents can be read and written randomly during operation. While semiconductor read-only memory (ROM) is randomly readable but not writable during operation and is used to store cured programs and data. ROM is in turn divided into two types, non-rewritable fuse read-only memory-PROM and rewritable read-only memory EPROM.
The magnetic core memory has the characteristics of low cost and high reliability, and has practical use experience of more than 20 years. Core memory has been widely used as main memory before the mid-70 s. Its storage capacity can be up to above 10 bits, and its access time is up to 300ns. The internationally typical core memory capacity is 4 MS-8 MB with access cycles of 1.0-1.5 mus. After the rapid development of semiconductor memory replaces the location of core memory as main memory, core memory can still be applied as mass expansion memory.
A magnetic drum memory, an external memory for magnetic recording. Because of its fast information access speed, it works stably and reliably, and although its capacity is smaller, it is gradually replaced by disk memory, but it is still used as external memory for real-time process control computers and middle and large-sized computers. In order to meet the demands of small-sized and microcomputer, a microminiature magnetic drum has appeared, which has small volume, light weight, high reliability and convenient use.
A magnetic disk memory, an external memory for magnetic recording. It has the advantages of both drum and tape storage, i.e. its storage capacity is greater than that of drum, and its access speed is faster than that of tape storage, and it can be stored off-line, so that magnetic disk is widely used as external memory with large capacity in various computer systems. Magnetic disks are generally classified into hard disks and floppy disk storage.
Hard disk memory is of a wide variety. Structurally, the device is divided into a replaceable type and a fixed type. The replaceable disk platter is replaceable, and the fixed disk platter is fixed. The replaceable and fixed magnetic disks have two types of multi-disc combination and single-disc structure, and can be divided into fixed magnetic head type and movable magnetic head type. The fixed head type magnetic disk has a small capacity, a low recording density, a high access speed, and a high cost. The movable magnetic head type magnetic disk has high recording density (up to 1000-6250 bit/inch) and thus large capacity, but has low access speed compared with the fixed magnetic head magnetic disk. The storage capacity of the disk product may be up to several hundred megabytes with a bit density of 6 bits per inch and a track density of 475 tracks per inch. The disk group of the disk memory can be replaced, so that the disk memory has large capacity, large capacity and high speed, can store large-capacity information data, and is widely applied to an online information retrieval system and a database management system.
Embodiment four:
the present disclosure also provides an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the above-described method for allocating transmission power of near-far mixed fields of a very large-scale array when executing the computer program.
Fig. 3 is a schematic diagram of an internal structure of an electronic device in one embodiment. As shown in fig. 3, the electronic device includes a processor, a storage medium, a memory, and a network interface connected by a system bus. The storage medium of the computer equipment stores an operating system, a database and a computer readable instruction, the database can store a control information sequence, and when the computer readable instruction is executed by a processor, the processor can realize a super-large-scale array near-far mixed field transmission power distribution method. The processor of the electrical device is used to provide computing and control capabilities, supporting the operation of the entire computer device. The memory of the computer device may have stored therein computer readable instructions that, when executed by the processor, cause the processor to perform a method of super-large scale array near-far mixed field transmission power allocation. The network interface of the computer device is for communicating with a terminal connection. It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The electronic device includes, but is not limited to, a smart phone, a computer, a tablet computer, a wearable smart device, an artificial smart device, a mobile power supply, and the like.
The processor may in some embodiments be comprised of integrated circuits, for example, a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functionality, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules stored in the memory (for example, executing remote data read-write programs, etc.), and calling data stored in the memory.
The bus may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the electronic device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
Further, the electronic device may also include a network interface, optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices.
Optionally, the electronic device may further comprise a user interface, which may be a Display, an input unit, such as a Keyboard (Keyboard), or a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Further, the computer-usable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created from the use of blockchain nodes, and the like.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
The embodiments of the present disclosure are described above. These examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.
Claims (10)
1. The method for distributing the transmission power of the near-far mixed field of the ultra-large-scale array is characterized by comprising the following steps of:
acquiring user position information parameters and acquiring the number of antenna units in an antenna array;
Calculating to obtain user channel gain and user channel correlation based on the user position information parameters and the number of antenna units;
obtaining a user power requirement based on the user channel gain and the user channel correlation in combination with a user spectral efficiency requirement;
And calculating a power allocation scheme for allocating the maximum supportable user number based on the user power requirement and the total power of the base station.
2. The method of claim 1, wherein calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna elements comprises:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
3. The method of claim 2, wherein the calculating the distance from each unit of the antenna array to the user by the distance and the angle of the user relative to the array, and obtaining the user channel gain specifically comprises:
channel h k for user k is expressed as:
Where r k represents the distance from the center of the antenna array to user k, and r kn represents the distance from the nth element of the antenna array to user k; λ represents a user location information parameter; n represents the number of antenna units of the antenna array and is a positive integer not less than the total number of users;
the channel gain G k is calculated as:
4. A method according to claim 3, characterized in that the user channel correlation represents a similarity between the channel vectors of two users;
After obtaining the user channel, the user channel correlation is obtained by vector inner product, and the obtaining the user channel correlation specifically comprises:
User channel correlation f (i, j):
user channel correlation matrix B:
5. the method of claim 4, wherein said deriving a user power requirement based on said user channel gain and said user channel correlation in combination with a user spectral efficiency requirement comprises:
According to the spectrum efficiency requirement R k of the user k, the noise power σ 2 is calculated to obtain the required received power p k as follows:
according to the relation between the power p ak distributed to the user by the base station and the received power p k:
The power requirement p need,k of the user is obtained as follows:
6. The method of claim 5, wherein after obtaining the power demand of the user, the base station allocates power to the user in order of the power demand of the user from small to large;
The scheme for maximizing the supportable user number is as follows, if the user with the mth small power requirement is user c m: user c 1 is allocated its required power, user c 2 is allocated its required power, and so on until the power of the base station is insufficient to support the next user.
7. A super-large array near-far mixed field transmission power distribution system, the system comprising:
The parameter acquisition module is used for acquiring the user position information parameters and acquiring the number of antenna units in the antenna array;
The calculation module is used for calculating and obtaining user channel gain and user channel correlation based on the user position information parameters and the number of the antenna units;
The demand analysis module is used for obtaining a user power demand based on the user channel gain and the user channel correlation and combining a user spectrum efficiency demand;
and the power distribution module is used for calculating and distributing a power distribution scheme for maximizing the supportable user number based on the user power requirement and the total power of the base station.
8. The system of claim 7, wherein the calculating the user channel gain and the user channel correlation based on the user location information parameter and the number of antenna elements specifically comprises:
and calculating the distance from each unit of the antenna array to the user through the distance and the angle of the user relative to the array, and obtaining the user channel gain and the user channel correlation.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps corresponding to the method for allocating transmission power for near-far mixed fields of a very large scale array as claimed in any one of claims 1 to 6 when the computer program is executed by the processor.
10. A computer storage medium having stored thereon computer program instructions, which when executed by a processor are adapted to carry out the steps corresponding to the method for super-large scale array near-far mixed field transmission power allocation as claimed in any one of claims 1 to 6.
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