CN115767762A - Non-authorized random access method for differentiated delay-limited user - Google Patents

Non-authorized random access method for differentiated delay-limited user Download PDF

Info

Publication number
CN115767762A
CN115767762A CN202211299900.1A CN202211299900A CN115767762A CN 115767762 A CN115767762 A CN 115767762A CN 202211299900 A CN202211299900 A CN 202211299900A CN 115767762 A CN115767762 A CN 115767762A
Authority
CN
China
Prior art keywords
users
cell
pilot frequency
random access
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211299900.1A
Other languages
Chinese (zh)
Other versions
CN115767762B (en
Inventor
张琦
陈天宇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Posts and Telecommunications
Original Assignee
Nanjing University of Posts and Telecommunications
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Posts and Telecommunications filed Critical Nanjing University of Posts and Telecommunications
Priority to CN202211299900.1A priority Critical patent/CN115767762B/en
Publication of CN115767762A publication Critical patent/CN115767762A/en
Application granted granted Critical
Publication of CN115767762B publication Critical patent/CN115767762B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses an unauthorized random access method for differentiated delay-limited users, which comprises the following steps: in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users, a frequency multiplexing mode is utilized to construct a pilot frequency multiplexing mechanism, and orthogonal pilot frequency resources are allocated to adjacent cells; calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in the cell; calculating the optimal random access backoff probability of different types of users under different time delay constraints of various types of users by taking the maximum total spectrum efficiency as a target; the base station broadcasts the backoff probabilities of different types of users, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access; the invention can obviously improve the access efficiency of the differentiated time delay limited user in the user scene, greatly improves the system spectrum efficiency, has practical method and can be applied to the actual communication scene.

Description

Non-authorized random access method for differentiated delay-limited user
Technical Field
The invention relates to the technical field of wireless communication, in particular to an unauthorized random access method for differentiated time delay limited users.
Background
In recent years, with the rapid development of wireless communication technology, the boundary of the internet of things extends from an initial sensor network to ubiquitous objects including people, vehicles, household appliances, public infrastructure and the like, the internet of things has been expanded from an initial object-to-object interconnection network to a universal interconnection era, and the internet of things has remarkable characteristics of differentiated user coexistence and the like due to the various applications; therefore, a customized random access strategy is provided for each user according to the unique configuration and requirement of each user, in addition, most of the applications of the internet of things have short delay requirements, such as unmanned driving, industrial alarm and the like, if the network cannot respond to data in a very short time, serious accidents can occur, and even personal safety is damaged; therefore, in order to ensure timely response of the network in the internet of things, delay constraints should be considered in the design of the random access policy.
Compared with the traditional random access scheme based on authorization, the unauthorized random access scheme can reduce transmission delay and can well meet the green and efficient communication requirements of machine type communication; therefore, the unlicensed random access technology is applied to a multi-cell large-scale MIMO system with coexisting differentiated time-delay-limited users, and the optimal design is carried out on the system, so that an important reference value is certainly provided for the actual operation of a future mobile communication network.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and title of the application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems.
In a first aspect of the embodiments of the present invention, an unauthorized random access method for a differentiated delay-limited user is provided, including: in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users, a frequency multiplexing mode is utilized to construct a pilot frequency multiplexing mechanism, and orthogonal pilot frequency resources are allocated to adjacent cells; calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in the cell; calculating the optimal random access backoff probability of different types of users under different time delay constraints of various types of users by taking the maximization of the total spectrum efficiency as a target; the base station broadcasts the backoff probabilities of different types of users, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
As an optimal solution of the unauthorized random access method for the differentiated time delay limited user, the method comprises the following steps: the step of allocating orthogonal pilot resources to the neighbor cells includes,
setting N single-antenna users in each cell of L cells, dividing the single-antenna users into K types, wherein the total length of pilot frequency is tau, so that all orthogonal pilot frequencies are tau in total;
dividing the tau orthogonal pilot frequency into alpha groups, the number of the orthogonal pilot frequency in each group is tau/alpha, and enabling the adjacent cells to select different groups of pilot frequency from the alpha groups of orthogonal pilot frequency according to a frequency multiplexing mode, thereby realizing pilot frequency orthogonality.
As a preferred scheme of the unauthorized random access method for the differentiated delay-limited user, the method comprises the following steps: the calculation of the individual spectral efficiency for each type of differentiated user includes,
defining two users selecting the same pilot frequency sequence as conflict users, and calculating the average number of non-conflict users in the kth class of users in each cell;
the average number N of non-conflict users in the kth class of users in each cell non,k The calculation of (a) includes that,
Figure BDA0003903939690000021
wherein, N k Representing the number of kth class users, n representing the number of active users, p b,k Representing the backoff probability of the kth class of users, and alpha representing a pilot frequency multiplexing factor;
performing power control in each of said cells to compensate for large scale fading, the calculation of the power control factor lambda comprising,
λ=P nkl β inkl
wherein, P nkl Denotes the transmit power, β, of the nth user of the kth users in the l cell inkl And the large-scale fading coefficient between the ith base station and the nth user of the ith cell belonging to the kth class user is represented.
As an optimal solution of the unauthorized random access method for the differentiated time delay limited user, the method comprises the following steps: also comprises the following steps of (1) preparing,
calculating the individual spectrum efficiency of the kth class users of each cell according to the average number of non-conflict users in the kth class users in each cell and the power control factor;
the individual spectral efficiency S ki The calculation of (a) includes that,
Figure BDA0003903939690000022
Figure BDA0003903939690000031
wherein T represents the symbol length of the coherent time, M represents the number of base station antennas, p b,k' Denotes the backoff probability of class k' users, N k' Representing the number of users of the k' th class, P representing the average transmit power of all users, C i Denotes the cell, ε, using the same pilot as the l-th cell ikl Represents the average value of large-scale fading, mu, between the ith base station and the nth user whose ith cell belongs to the kth class user ikl Represents the large-scale fading square average between the ith base station and the nth user whose ith cell belongs to the kth class of users.
As an optimal solution of the unauthorized random access method for the differentiated time delay limited user, the method comprises the following steps: the calculation of the total spectral efficiency of all users in the cell includes,
adding the single spectrum efficiencies of all K types of users in the cell to obtain the total spectrum efficiency of the cell;
the total spectral efficiency S i The calculation of (a) includes that,
Figure BDA0003903939690000032
as an optimal solution of the unauthorized random access method for the differentiated time delay limited user, the method comprises the following steps: the calculation of the optimal random access backoff probability comprises,
with the aim of maximizing the total spectrum efficiency, under the different time delay constraints of various users, obtaining the random access backoff probability of various users required by the system by using an iterative optimization algorithm;
the calculation of the random access backoff probabilities of the various users comprises,
Figure BDA0003903939690000033
Figure BDA0003903939690000041
wherein,
Figure BDA0003903939690000042
represents the optimal random access backoff probability of the kth class of users,
Figure BDA0003903939690000043
representing the maximum delay allowed for class k users.
As an optimal solution of the unauthorized random access method for the differentiated time delay limited user, the method comprises the following steps: the step of obtaining the optimal random access backoff probability comprises,
a1: the initial backoff probability vector is formed by the initial backoff probabilities of various users
Figure BDA0003903939690000044
Figure BDA0003903939690000045
Setting search step size v 1 =0.1,v 2 =1, maximum error xi =10 -6 The initial iteration number t =0;
a2: calculating the total spectral efficiency of the ith iteration of the ith cell according to the total spectral efficiency formula of all users in the cell
Figure BDA0003903939690000046
A3: calculating the gradient vector of the t time by using a gradient descent algorithm
Figure BDA0003903939690000047
And the probability vector of next backoff of various users
Figure BDA0003903939690000048
A4: if the back-off probability vector
Figure BDA00039039396900000415
The k element of (2)
Figure BDA0003903939690000049
Not satisfying the constraint, i.e. not satisfying
Figure BDA00039039396900000410
The step size is adjusted to v 2 And make
Figure BDA00039039396900000411
Wherein K = 1.., K;
a5: calculating the total spectral efficiency of the next time
Figure BDA00039039396900000412
And make a judgment on
Figure BDA00039039396900000413
Whether the result is true or not; if not, t = t +1, and repeating steps A2 to A5; if yes, the optimal user backoff probability vector is
Figure BDA00039039396900000414
In a second aspect of the embodiments of the present invention, an unauthorized random access system for a differentiated delay-limited user is provided, including:
the pilot frequency resource allocation unit is used for constructing a pilot frequency multiplexing mechanism by using a frequency multiplexing mode in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users and allocating orthogonal pilot frequency resources to adjacent cells;
the optimal random access backoff probability calculation unit is used for calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in a cell, and calculating the optimal random access backoff probability of different types of users by taking the maximum total spectrum efficiency as a target;
and the user access unit broadcasts the backoff probabilities of different types of users through the base station, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
In a third aspect of embodiments of the present invention, there is provided an apparatus, comprising,
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the instructions stored by the memory to perform the method of any embodiment of the invention.
In a fourth aspect of the embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions, including:
which when executed by a processor implement the method according to any of the embodiments of the invention.
The invention has the beneficial effects that: the unauthorized random access method of the differentiated time delay limited user can greatly improve the overall random access efficiency of the differentiated user on the premise of controlling the access time delay, and meanwhile, the method of the invention fully considers the actual multi-cell system architecture during design and adopts the normalized random access standard, so that the final method has stronger practical practicability and can be truly applied to the actual communication scene; in addition, the invention also provides a brand new thought for the related research and application of multi-cell large-scale MIMO and unauthorized random access technology, provides reference for other related problems in the wireless communication field, can be used for expanding and deeply researching on the basis of the brand new thought, and has very wide application prospect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic overall flow chart of an unauthorized random access method for differentiated delay-limited users according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not necessarily enlarged to scale, and are merely exemplary, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Also in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience of description and simplification of description, but 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 thus, should not be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, an embodiment of the present invention provides an unauthorized random access method for a differentiated delay-limited user, including:
s1: in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users, a frequency multiplexing mode is utilized to construct a pilot frequency multiplexing mechanism, and orthogonal pilot frequency resources are allocated to adjacent cells. It should be noted that:
the step of allocating orthogonal pilot resources to the neighboring cells includes,
setting N single-antenna users in each cell of L cells, dividing the single-antenna users into K types, and setting the total length of pilot frequency to be tau, so that all orthogonal pilot frequencies are tau in total;
dividing the tau orthogonal pilot frequency into alpha groups, the number of the orthogonal pilot frequency in each group is tau/alpha, and enabling the adjacent cells to select different groups of pilot frequency from the alpha groups of orthogonal pilot frequency according to a frequency multiplexing mode, thereby realizing pilot frequency orthogonality.
S2: the individual spectral efficiency of each type of differentiated user and the total spectral efficiency of all users in the cell are calculated. It should be noted that:
defining two users selecting same pilot frequency sequence as conflict users, calculating average number N of non-conflict users in kth class of users in each cell non,k The method comprises the following steps of (1),
Figure BDA0003903939690000071
wherein N is k Representing the number of kth class users, n representing the number of active users, p b,k Representing the backoff probability of the kth class user, and alpha representing a pilot frequency multiplexing factor;
further, power control is performed in each cell to compensate for large scale fading, and the calculation of the power control factor λ includes,
λ=P nkl β inkl
wherein, P nkl Denotes the transmit power, β, of the nth user of the kth users in the l cell inkl Representing a large-scale fading coefficient between the ith base station and the nth user of the kth class user of the ith cell;
further, calculating the individual spectrum efficiency of the kth class users in each cell according to the average number of non-conflict users in the kth class users in each cell and the power control factor;
individual spectral efficiencyRate S ki The calculation of (a) includes that,
Figure BDA0003903939690000072
Figure BDA0003903939690000073
Figure BDA0003903939690000081
where T represents the symbol length of the coherence time, M represents the number of base station antennas, p b,k' Represents the backoff probability of the k' th class user, N k' Representing the number of users of the k' th class, P representing the average transmit power of all users, C i Denotes the cell, ε, using the same pilot as the l-th cell ikl Represents the average value of large-scale fading, mu, between the ith base station and the nth user whose ith cell belongs to the kth class of users ikl Representing the large-scale fading square average value between the ith base station and the nth user of the kth class user of the ith cell;
it should be noted that the calculation of the average transmit power P for all users includes,
Figure BDA0003903939690000082
furthermore, the total spectrum efficiency of the cell, total spectrum efficiency S, can be obtained by adding the individual spectrum efficiencies of all K types of users in the cell i The calculation of (a) includes that,
Figure BDA0003903939690000083
s3: and calculating the optimal random access backoff probability of different types of users under different time delay constraints of various types of users by taking the maximum total spectrum efficiency as a target. It should be noted that:
aiming at maximizing the total spectrum efficiency, under the different time delay constraints of various users, the iterative optimization algorithm is used for obtaining the random access backoff probability of various users required by the system, the calculation of the random access backoff probability of various users comprises,
Figure BDA0003903939690000084
Figure BDA0003903939690000085
wherein,
Figure BDA0003903939690000086
represents the optimal random access backoff probability of the kth class of users,
Figure BDA0003903939690000087
representing the maximum time delay allowed by the kth class user;
further, the step of obtaining the optimal random access backoff probability comprises,
a1: the initial backoff probability vector is formed by the initial backoff probabilities of various users
Figure BDA0003903939690000088
Figure BDA0003903939690000089
Setting search step size v 1 =0.1,v 2 =1, maximum error xi =10 -6 The initial iteration number t =0;
a2: calculating the total spectral efficiency of the ith iteration of the ith cell according to the total spectral efficiency formula of all users in the cell
Figure BDA0003903939690000091
A3: calculating the gradient vector of the t time by using a gradient descent algorithm
Figure BDA0003903939690000092
And the probability vector of next backoff of various users
Figure BDA0003903939690000093
A4: if back-off probability vector
Figure BDA0003903939690000094
The k element of (2)
Figure BDA0003903939690000095
Not satisfying the constraint, i.e. not satisfying
Figure BDA0003903939690000096
The step size is adjusted to v 2 And make
Figure BDA0003903939690000097
Wherein K = 1.., K;
a5: calculating the total spectral efficiency of the next time
Figure BDA0003903939690000098
And judge
Figure BDA0003903939690000099
Whether the result is true or not; if not, t = t +1, and repeating steps A2 to A5; if yes, the optimal user backoff probability vector is
Figure BDA00039039396900000910
S4: the base station broadcasts the backoff probabilities of different types of users, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
It should be noted that the method provided by the present invention can greatly improve the overall random access efficiency of the differentiated user on the premise of controlling the access delay, and meanwhile, the method of the present invention fully considers the actual multi-cell system architecture in the design and adopts the normalized random access standard, so that the final method has strong practical practicability and can be applied to the actual communication scene.
In a second aspect of the present disclosure,
there is provided an unlicensed random access system for differentiated delay-limited users, comprising:
the pilot frequency resource allocation unit is used for constructing a pilot frequency multiplexing mechanism by using a frequency multiplexing mode in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users and allocating orthogonal pilot frequency resources to adjacent cells;
the optimal random access backoff probability calculation unit is used for calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in the cell, and calculating the optimal random access backoff probability of different types of users by taking the maximum total spectrum efficiency as a target;
and the user access unit broadcasts the backoff probabilities of different types of users through the base station, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
In a third aspect of the present disclosure,
there is provided an apparatus comprising, in combination,
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of the preceding.
In a fourth aspect of the present disclosure,
there is provided a computer readable storage medium having computer program instructions stored thereon, comprising:
the computer program instructions, when executed by a processor, implement a method according to any embodiment of the invention.
The present invention may be methods, apparatus, systems, and/or computer program products that may include a computer-readable storage medium having computer-readable program instructions embodied therewith for performing various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
Example 2
The embodiment is different from the first embodiment in that a verification test of the unauthorized random access method of the differentiated delay-limited user is provided to verify and explain the technical effect adopted in the method.
L =84 cells are set, each cell having N =160 single antenna users, which are classified into 2 classes, where N is 1 =100,N 2 =60, the total length of the pilots is τ =90, the total number of the orthogonal pilots is 90, the 90 orthogonal pilots are divided into 3 groups, and the pilot orthogonality is realized by selecting different groups of pilots from the 3 groups of orthogonal pilots by the adjacent cell according to the frequency reuse mode;
then, calculating the individual spectrum efficiency of the two types of differential users and the total spectrum efficiency of 160 single-antenna users in the cell, and calculating the optimal random access backoff probability of different types of users under different time delay constraints of the two types of users by taking the maximum total spectrum efficiency as a target, wherein specific experimental data are shown in table 1;
table 1: optimal backoff probability experimental data.
Figure BDA0003903939690000111
The base station broadcasts the backoff probabilities of different types of users, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access; therefore, the method provided by the invention provides a brand-new thought for the relevant research and application of the multi-cell large-scale MIMO and unlicensed random access technology of the differentiated time delay limited user, provides reference for other relevant problems in the wireless communication field, can be used for expanding and deeply researching on the basis of the brand-new thought, and has a very wide application prospect.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.

Claims (10)

1. An unauthorized random access method for differentiated delay-limited users, comprising:
in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users, a frequency multiplexing mode is utilized to construct a pilot frequency multiplexing mechanism, and orthogonal pilot frequency resources are allocated to adjacent cells;
calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in the cell;
calculating the optimal random access backoff probability of different types of users under different time delay constraints of various types of users by taking the maximization of the total spectrum efficiency as a target;
the base station broadcasts the backoff probabilities of different types of users, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
2. The method for unauthorized random access of differentiated delay-limited users according to claim 1, wherein: the step of allocating orthogonal pilot resources to the neighbor cells includes,
setting N single-antenna users in each cell of L cells, dividing the single-antenna users into K types, wherein the total length of pilot frequency is tau, so that all orthogonal pilot frequencies are tau in total;
dividing the tau orthogonal pilot frequencies into alpha groups, and then the number of orthogonal pilot frequencies in each group is tau/alpha, and according to the frequency multiplexing mode, selecting different groups of pilot frequencies from the alpha groups of orthogonal pilot frequencies by adjacent cells, thereby realizing pilot frequency orthogonality.
3. The method of claim 2, wherein the method comprises: the calculation of the individual spectral efficiency for each type of differentiated user includes,
defining two users selecting the same pilot frequency sequence as conflict users, and calculating the average number of non-conflict users in the kth class of users in each cell;
the average number N of non-conflict users in the kth class of users in each cell non,k The calculation of (a) includes that,
Figure FDA0003903939680000011
wherein N is k Representing the number of kth class users, n representing the number of active users, p b,k Representing the backoff probability of the kth class user, and alpha representing a pilot frequency multiplexing factor;
performing power control in each of said cells to compensate for large scale fading, the calculation of the power control factor lambda comprising,
λ=P nkl β inkl
wherein, P nkl Denotes the transmit power, β, of the nth user of the kth users in the l cell inkl And the large-scale fading coefficient between the ith base station and the nth user of the ith cell belonging to the kth class user is represented.
4. The method of claim 3, wherein the method comprises: also comprises the following steps of (1) preparing,
calculating the individual spectrum efficiency of the kth class users of each cell according to the average number of non-conflict users in the kth class users in each cell and the power control factor;
the individual spectral efficiency S ki The calculation of (a) includes that,
Figure FDA0003903939680000021
Figure FDA0003903939680000022
wherein T represents the symbol length of the coherent time, M represents the number of base station antennas, p b,k' Denotes the backoff probability of class k' users, N k' Representing the number of users of the k' th class, P representing the average transmit power of all users, C i Denotes the cell using the same pilot as the ith cell, ε ikl Represents the average value of large-scale fading, mu, between the ith base station and the nth user whose ith cell belongs to the kth class user ikl Represents the large-scale fading square average between the ith base station and the nth user whose ith cell belongs to the kth class of users.
5. The method of claim 4, wherein the method comprises: the calculation of the total spectral efficiency of all users in the cell includes,
adding the individual spectrum efficiencies of all K types of users in the cell to obtain the total spectrum efficiency of the cell i;
the total spectral efficiency S i The calculation of (a) includes that,
Figure FDA0003903939680000023
6. the method of claim 5, wherein the method comprises: the calculation of the optimal random access backoff probability comprises,
with the aim of maximizing the total spectrum efficiency as a target, under different time delay constraints of various users, obtaining the random access backoff probability of the various users required by the system by using an iterative optimization algorithm;
the calculation of the random access backoff probabilities of the various users comprises,
Figure FDA0003903939680000031
Figure FDA0003903939680000032
wherein,
Figure FDA0003903939680000033
represents the optimal random access backoff probability of the kth class of users,
Figure FDA0003903939680000034
representing the maximum delay allowed for class k users.
7. The method of claim 6, wherein the method comprises: the step of obtaining the optimal random access backoff probability comprises,
a1: the initial backoff probability vector is formed by the initial backoff probabilities of various users
Figure FDA0003903939680000035
Figure FDA0003903939680000036
Setting search step size v 1 =0.1,v 2 =1, maximum error xi =10 -6 The initial iteration number t =0;
a2: calculating the total spectral efficiency of the ith iteration of the ith cell according to the total spectral efficiency formula of all users in the cell
Figure FDA0003903939680000037
A3: calculating the gradient vector of the t time by using a gradient descent algorithm
Figure FDA0003903939680000038
And the probability vector of next backoff of various users
Figure FDA0003903939680000039
A4: if the back-off probability vector
Figure FDA00039039396800000310
The k element of (2)
Figure FDA00039039396800000311
Not satisfying the constraint, i.e. not satisfying
Figure FDA00039039396800000312
The step size is adjusted to v 2 And make
Figure FDA00039039396800000313
Wherein K = 1.., K;
a5: calculating the total spectral efficiency of the next time
Figure FDA00039039396800000314
And judge
Figure FDA00039039396800000315
Whether the result is true or not; if not, t = t +1, and repeating steps A2 to A5; if yes, the optimal user backoff probability vector is
Figure FDA00039039396800000316
8. An unlicensed random access system for differentiated delay-limited users, comprising:
the pilot frequency resource allocation unit is used for constructing a pilot frequency multiplexing mechanism by using a frequency multiplexing mode in a multi-cell large-scale MIMO system with hybrid coexistence of differentiated users and allocating orthogonal pilot frequency resources to adjacent cells;
the optimal random access backoff probability calculation unit is used for calculating the individual spectrum efficiency of each type of differentiated users and the total spectrum efficiency of all users in a cell, and calculating the optimal random access backoff probability of different types of users by taking the maximum total spectrum efficiency as a target;
and the user access unit broadcasts the backoff probabilities of different types of users through the base station, each type of user utilizes the backoff parameters broadcasted by the base station to carry out random delay activation, and the activated user randomly selects pilot frequency from the pilot frequency pool of the cell and sends the pilot frequency to the base station to realize access.
9. An apparatus, characterized in that the apparatus comprises,
a processor;
a memory for storing processor-executable instructions;
the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1-7.
10. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 7.
CN202211299900.1A 2022-10-24 2022-10-24 Unauthorized random access method for differentiated time delay limited user Active CN115767762B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211299900.1A CN115767762B (en) 2022-10-24 2022-10-24 Unauthorized random access method for differentiated time delay limited user

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211299900.1A CN115767762B (en) 2022-10-24 2022-10-24 Unauthorized random access method for differentiated time delay limited user

Publications (2)

Publication Number Publication Date
CN115767762A true CN115767762A (en) 2023-03-07
CN115767762B CN115767762B (en) 2024-08-02

Family

ID=85352802

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211299900.1A Active CN115767762B (en) 2022-10-24 2022-10-24 Unauthorized random access method for differentiated time delay limited user

Country Status (1)

Country Link
CN (1) CN115767762B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105634571A (en) * 2016-01-18 2016-06-01 重庆邮电大学 Pilot frequency pollution reduction method based on partial pilot frequency multiplexing in large-scale MIMO system
WO2020019474A1 (en) * 2018-07-25 2020-01-30 西安交通大学 Optimal power backoff-based non-orthogonal random access method in large-scale m2m network
US20200059935A1 (en) * 2016-11-04 2020-02-20 Samsung Electronics Co., Ltd. Method and apparatus for grant-free data transmission in wireless communication system
CN111031611A (en) * 2020-01-03 2020-04-17 浙江工业大学 Pilot random access method based on non-authorization
CN111262678A (en) * 2020-01-17 2020-06-09 北京科技大学 Multi-cell multi-user pilot frequency distribution method under massive MIMO system
CN112913316A (en) * 2018-10-26 2021-06-04 华为技术有限公司 Channel access mechanism for random access channel in unlicensed spectrum
CN113423146A (en) * 2021-06-21 2021-09-21 南京邮电大学 Unauthorized random access method in multi-cell large-scale MIMO system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105634571A (en) * 2016-01-18 2016-06-01 重庆邮电大学 Pilot frequency pollution reduction method based on partial pilot frequency multiplexing in large-scale MIMO system
US20200059935A1 (en) * 2016-11-04 2020-02-20 Samsung Electronics Co., Ltd. Method and apparatus for grant-free data transmission in wireless communication system
WO2020019474A1 (en) * 2018-07-25 2020-01-30 西安交通大学 Optimal power backoff-based non-orthogonal random access method in large-scale m2m network
CN112913316A (en) * 2018-10-26 2021-06-04 华为技术有限公司 Channel access mechanism for random access channel in unlicensed spectrum
CN111031611A (en) * 2020-01-03 2020-04-17 浙江工业大学 Pilot random access method based on non-authorization
CN111262678A (en) * 2020-01-17 2020-06-09 北京科技大学 Multi-cell multi-user pilot frequency distribution method under massive MIMO system
CN113423146A (en) * 2021-06-21 2021-09-21 南京邮电大学 Unauthorized random access method in multi-cell large-scale MIMO system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
QI ZHANG等: "A Hybrid-Grant Random Access Scheme in Massive MIMO Systems for IoT", IEEE ACCESS, vol. 8, 21 May 2020 (2020-05-21), XP011789436, DOI: 10.1109/ACCESS.2020.2993597 *
张琦 等: "采用迫零接收机的大规模MIMO上行链路支持用户数研究", 南京邮电大学学报( 自然科学版), vol. 35, no. 1, 28 February 2015 (2015-02-28) *
毕文平;徐修强;高原;陈国峰;陈雁;周世东;: "超蜂窝网络柔性覆盖与控制", 中国科学:信息科学, no. 05, 20 May 2017 (2017-05-20) *

Also Published As

Publication number Publication date
CN115767762B (en) 2024-08-02

Similar Documents

Publication Publication Date Title
Chen et al. Rethinking mobile data offloading for LTE in unlicensed spectrum
CN107276660B (en) Resource allocation methods and device in non-orthogonal multiple air-ground coordination communication system
US9130729B2 (en) Method for spectrum allocation based on interference suppression and user difference bandwidth requirements
Li et al. Cluster‐based resource allocation scheme with QoS guarantee in ultra‐dense networks
CN105049098B (en) The portion of pilot multiplexing method of pilot pollution is overcome in extensive mimo system
Pischella et al. NOMA-relevant clustering and resource allocation for proportional fair uplink communications
CN104039004A (en) Method for heterogeneous user pilot frequency power optimal distribution in large-scale multi-input multi-output system
CN113423146B (en) Unauthorized random access method in multi-cell large-scale MIMO system
CN109996264A (en) The power distribution method of safe energy efficiency is maximized in non-orthogonal multiple system
CN105517134A (en) Heterogeneous convergence network joint user correlation and power distribution method supporting safe information transmission
Esmat et al. Joint channel selection and optimal power allocation for multi‐cell D2D communications underlaying cellular networks
Kim et al. Resource allocation in cluster based ultra dense network
Ba et al. User‐priority‐based resource allocation for device‐to‐device communications in 5G underlaying cellular networks
CN115767762A (en) Non-authorized random access method for differentiated delay-limited user
CN108430109A (en) A kind of the cooperative game resource allocation method and its system of the small subzone network of cognition
Hendraningrat et al. Virtual user pairing based non‐orthogonal multiple access in downlink coordinated multipoint transmissions
Zhang et al. Channel assignment with fairness for multi-AP WLAN based on distributed coordination function
CN103888952B (en) The method and system of frequency spectrum is competed in a kind of cognitive radio system
KR101332025B1 (en) Method for user scheduling considering inter-cell interference and wireless mobile communication system
CN113207126A (en) Partition-based non-orthogonal multiple access heterogeneous network, resource allocation method and system
Feng et al. Throughput enhancement of IEEE 802.11 ad through space‐time division multiple access scheduling of multiple co‐channel networks
Chour et al. GALEN: A geometric framework for global optimal power allocation in a full duplex D2D network
CN102726099B (en) Method and device for cell selection in heterogeneous network
CN105491672B (en) Dispatching method and device of the low power nodes to user in heterogeneous network
Luo et al. An efficient Jaya algorithm for resource allocation in the cognitive-radio-networks-aided internet of things

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant