CN112469008B - Content distribution method and device based on D2D reliability - Google Patents

Content distribution method and device based on D2D reliability Download PDF

Info

Publication number
CN112469008B
CN112469008B CN202011364508.1A CN202011364508A CN112469008B CN 112469008 B CN112469008 B CN 112469008B CN 202011364508 A CN202011364508 A CN 202011364508A CN 112469008 B CN112469008 B CN 112469008B
Authority
CN
China
Prior art keywords
reliability
content distribution
communication terminals
communication
data
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.)
Active
Application number
CN202011364508.1A
Other languages
Chinese (zh)
Other versions
CN112469008A (en
Inventor
王江汉
熊英
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.)
Chongqing Telecommunication Polytechnic College
Original Assignee
Chongqing Telecommunication Polytechnic College
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 Chongqing Telecommunication Polytechnic College filed Critical Chongqing Telecommunication Polytechnic College
Priority to CN202011364508.1A priority Critical patent/CN112469008B/en
Publication of CN112469008A publication Critical patent/CN112469008A/en
Application granted granted Critical
Publication of CN112469008B publication Critical patent/CN112469008B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
    • H04W40/14Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality based on stability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/023Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/20Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
    • 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

Abstract

The application relates to the technical field of communication, and discloses a content distribution method based on D2D reliability. The method comprises the following steps: acquiring distances among a plurality of D2D communication terminals according to preset interval time; acquiring a reliability predicted value between any two D2D communication terminals according to the distance; determining content distribution coverage according to the reliability prediction value; and distributing the content according to the content distribution coverage. According to the method, the reliability of the communication mode of the D2D communication terminal is predicted in advance, the acquired content distribution coverage can consider the stable communication between the D2D communication terminals, and the frequent switching of the communication link during content distribution is effectively avoided. The application also discloses a content distribution device based on the D2D reliability.

Description

Content distribution method and device based on D2D reliability
Technical Field
The present application relates to the field of communications technologies, and for example, to a content distribution method and apparatus based on D2D reliability.
Background
With the continuous development of mobile communication technology and the popularization of various communication devices, the number of mobile users is also rapidly increasing. In recent years, mass intelligent terminal devices are in an increasing situation, emerging communication services meeting specific requirements of users are in an outbreak situation, the contradiction between explosive growth of data traffic borne by mobile communication and shortage of wireless spectrum resources is increasing, and how to effectively increase network capacity, improve wireless spectrum utilization rate and improve terminal user experience in different communication modes becomes an irresistible task.
D2D (Device-to-Device) communication technology refers to a communication method in which two peer user nodes communicate directly with each other. Under the control of an LTE (Long Term Evolution) network system, it is allowed that end users in close positions can directly perform data communication without transferring through a base station. In D2D communication in the LTE network, the user needs to satisfy the corresponding conditions such as distance, limited interference to the main network, etc. to establish the D2D communication link for data transmission.
The D2D technology can make the device bypass the base station, and directly communicate with other adjacent devices or interact with the content, thereby effectively relieving the pressure of the cellular network, improving the utilization rate of frequency spectrum resources, and realizing high-efficiency real-time content sharing and distribution service, a cache server can be deployed at the base station side and cache hot content, a certain strategy is formulated according to the content to distribute the content to users, the users cache the content by using the strong storage capacity of the users, and the content can be directly acquired from the memory of the users or the adjacent D2D users when the users have the content demand, thereby reducing the content acquisition delay, and therefore, the content distribution research under the D2D communication has important significance.
When two terminals in D2D communication are far away from each other or other situations occur that may cause D2D communication to be unstable, communication quality may be very poor, and in this case, the prior art usually switches to the base station communication, and frequent communication link switching may not only increase communication energy consumption, but also affect content distribution experience of users, so that not all situations are necessarily suitable for content distribution through D2D communication.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a content distribution method and device based on D2D reliability.
In some embodiments, the method comprises:
acquiring distances among a plurality of D2D communication terminals according to preset interval time;
acquiring a reliability predicted value between any two D2D communication terminals according to the distance;
determining content distribution coverage according to the reliability prediction value;
and distributing the content according to the content distribution coverage.
In some embodiments, the apparatus comprises: comprising a processor and a memory storing program instructions, the processor being configured, upon execution of the program instructions, to perform the above-described D2D reliability-based content distribution method.
The content distribution method and device based on the D2D reliability provided by the embodiment of the disclosure can achieve the following technical effects: acquiring the distance between the D2D communication terminals according to the preset interval time, acquiring a reliability predicted value between the D2D communication terminals according to the distance between the D2D communication terminals, and performing content distribution according to the content distribution coverage according to the reliability predicted value; content distribution is achieved. By predicting the reliability of the communication mode of the D2D communication terminal in advance in such a way, the acquired content distribution coverage can take stable communication between the D2D communication terminals into consideration, and frequent switching of communication links during content distribution is effectively avoided.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated in the accompanying drawings, which correspond to the accompanying drawings and not in a limiting sense, in which elements having the same reference numeral designations represent like elements, and in which:
fig. 1 is a schematic diagram of a content distribution method based on D2D reliability according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a content distribution apparatus based on D2D reliability according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and claims of the embodiments of the disclosure and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more, unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. E.g., a and/or B, represents: a or B, or A and B.
With reference to fig. 1, an embodiment of the present disclosure provides a content distribution method based on D2D reliability, including:
step S101, acquiring address information of communication terminals according to preset interval time and calculating to obtain distances among a plurality of D2D communication terminals;
step S102, obtaining a reliability predicted value between any two D2D communication terminals according to the distance;
step S103, determining content distribution coverage according to the reliability prediction value;
and step S104, distributing the content according to the content distribution coverage.
By adopting the content distribution method based on the D2D reliability, the distance between the D2D communication terminals is obtained according to the preset interval time, the reliability predicted value between the D2D communication terminals is obtained according to the distance between the D2D communication terminals, the content distribution coverage is carried out according to the reliability predicted value, and the content distribution coverage is carried out according to the content distribution coverage; content distribution is achieved. By predicting the reliability of the communication method of the D2D communication terminal in advance in this way, the acquired content distribution coverage can take stable communication between the D2D communication terminals into consideration, and frequent switching of communication links during content distribution is effectively avoided.
Optionally, determining the content distribution coverage according to the reliability prediction value comprises: among all the reliability predicted values, two D2D communication terminals corresponding to the reliability predicted values satisfying the first preset condition are determined as candidate communication terminals, and the number of the candidate communication terminals is determined as content distribution coverage.
Optionally, the reliability prediction value meeting the first preset condition includes: a reliability threshold greater than or equal to the first set threshold.
Optionally, the content distribution according to the content distribution coverage includes: under the condition that the content distribution coverage meets a second preset condition, the content is distributed by using the alternative communication terminal; wherein, the alternative communication terminals and the respectively corresponding D2D communication terminals carry out content distribution through D2D communication.
Optionally, the content distribution coverage satisfies a second preset condition, including: the content distribution coverage is greater than or equal to a second set threshold. The larger the content distribution coverage, the more D2D communication terminals the base station covers, and when the content distribution coverage is greater than or equal to the second set threshold, the content distribution is performed using the candidate communication terminal. In some embodiments, the content distribution can be performed through the D2D communication between the D2D communication terminals capable of performing the D2D communication. Optionally, there are multiple pairs of alternative communication terminals capable of performing D2D communication under the coverage of the base station; the base station transmits the content to one D2D communication terminal among the alternative communication terminals, and the D2D communication terminal receiving the content transmitted by the base station distributes the content to the other D2D communication terminal paired with the base station through D2D communication.
Optionally, obtaining a reliability prediction value between the D2D communication terminals according to the distance includes:
sequencing the distances from first to last according to the acquisition time;
matching reliability data corresponding to the distance in a preset reliability data table;
calculating by using the reliability data through a first preset algorithm to obtain a reliability predicted value between D2D communication terminals;
the reliability data table includes a correspondence of distance to reliability data.
Optionally, the obtaining of the reliability prediction value between the D2D communication terminals by the first preset algorithm through calculation using the reliability data includes:
computing
Figure BDA0002805031440000051
Get alternative reliability prediction ykk, where KiFor the ith reliability data, KnFor the nth reliability data, KjFor the jth reliability data, Kj-1For the j-1 th reliability data, Kn-1The reliability data is the (n-1) th reliability data; n is the number of reliability data, n is an integer and n is more than or equal to 3; i is a positive integer and i is not less than n-1, j is a positive integer and j is not less than 2 and not more than n-1; alpha is a first predetermined weight, beta is a second predetermined weight, 0<α<0.5,0<β<0.5;
The candidate reliability prediction value ykk is used as a reliability prediction value between D2D communication terminals.
Optionally, obtaining a reliability prediction value between the D2D communication terminals according to the distance includes:
acquiring the memory occupancy rate of the relay terminals among the D2D communication terminals;
sequencing the distances from first to last according to the acquisition time;
matching reliability data corresponding to the distance in a preset reliability data table;
calculating by using the reliability data and the memory occupancy rate through a second preset algorithm to obtain a reliability predicted value between the D2D communication terminals;
the reliability data table includes a correspondence of distance to reliability data.
Optionally, the obtaining of the reliability prediction value between the D2D communication terminals by using the reliability data and the memory occupancy through a second preset algorithm includes:
computing
Figure BDA0002805031440000052
Get alternative reliability prediction ykk, where KiFor the ith reliability data, KnFor the nth reliability data, KjFor the jth reliability data, Kj-1For the j-1 th reliability data, Kn-1The reliability data is the (n-1) th reliability data; n is the number of reliability data, n is an integer and n is more than or equal to 3; i is a positive integer and i is not less than n-1, j is a positive integer and j is not less than 2 and not more than n-1; alpha is a first predetermined weight, beta is a second predetermined weight, 0<α<0.5,0<β<0.5;
Calculating ZZY as lambda x ykk + lambda ' x ncl to obtain a reliability prediction value ZZY between the D2D communication terminals, wherein lambda is a third preset weight, lambda ' is a fourth preset weight, lambda >0 and lambda ' > 0; ncl is the memory occupancy rate of the relay terminals between the D2D communication terminals. Optionally, when there are multiple intermediate terminals between the D2D communication terminals, ncl is the average memory occupancy rate of each relay terminal between the D2D communication terminals.
By predicting the reliability of the communication mode of the D2D communication terminal in advance in such a way, the acquired content distribution coverage can consider the stable communication among the D2D communication terminals, and when the stable communication among the D2D communication terminals is considered, the influence of the distance on the communication and the memory occupancy rate of the D2D communication terminal are considered, so that the stable communication of the D2D can be ensured as far as possible, and the frequent switching of the communication link during content distribution is effectively avoided.
As shown in fig. 2, the embodiment of the present disclosure provides a content distribution apparatus based on D2D reliability, which includes a processor (processor)100 and a memory (memory) 101. Optionally, the apparatus may also include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. Processor 100 may invoke logic instructions in memory 101 to perform the D2D reliability-based content distribution method of the above-described embodiment.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing, i.e., implements the content distribution method based on D2D reliability in the above embodiment, by executing program instructions/modules stored in the memory 101.
The memory 101 may 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; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
Optionally, the D2D communication terminal is a mobile phone, and of course, in other embodiments, the D2D communication terminal may also be a D2D smart terminal supporting cellular communication and D2D communication, such as a smart watch, a tablet computer, and the like.
By adopting the content distribution device based on the D2D reliability, the distance between the D2D communication terminals is obtained according to the preset interval time, the reliability prediction value between the D2D communication terminals is obtained according to the distance between the D2D communication terminals, the content distribution coverage is carried out according to the reliability prediction value, and the content distribution is carried out according to the content distribution coverage; content distribution is achieved. By predicting the reliability of the communication mode of the D2D communication terminal in advance in such a way, the acquired content distribution coverage can take stable communication between the D2D communication terminals into consideration, and frequent switching of communication links during content distribution is effectively avoided.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described content distribution method based on D2D reliability.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-described method of content distribution based on D2D reliability.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims (3)

1. A method for distributing content based on D2D reliability, comprising:
acquiring distances among a plurality of D2D communication terminals according to preset interval time;
acquiring a reliability predicted value between any two D2D communication terminals according to the distance;
determining content distribution coverage according to the reliability prediction value;
distributing the content according to the content distribution coverage;
determining content distribution coverage according to the reliability prediction value, wherein the content distribution coverage comprises the following steps:
determining two D2D communication terminals corresponding to the reliability prediction values meeting the first preset condition as alternative communication terminals and determining the number of the alternative communication terminals as content distribution coverage in all the reliability prediction values;
obtaining a reliability predicted value between D2D communication terminals according to the distance, comprising:
matching reliability data corresponding to the distance in a preset reliability data table;
calculating by using the reliability data through a first preset algorithm to obtain a reliability predicted value between the D2D communication terminals;
the reliability data table comprises a corresponding relation between the distance and the reliability data;
obtaining a reliability predicted value between the D2D communication terminals by calculating through a first preset algorithm by using the reliability data, wherein the reliability predicted value comprises the following steps:
computing
Figure 683453DEST_PATH_IMAGE001
Obtaining alternative reliability prediction valuesykkWherein, in the step (A),K i is as followsiThe reliability data of the data is stored in a memory,K n is as followsnThe reliability data of the data is stored in a memory,K j is a firstjThe reliability data of the data is stored in a memory,K j-1is a firstj-1 piece of reliability data, wherein the reliability data comprises the reliability data,K n-1is a firstn-1 reliability datum;nin order to determine the number of reliability data,nis an integer andn≥3;iis a positive integer andi≤n-1,jis a positive integer and 2≤j≤n-1;αIs a first preset weight, and is a second preset weight,βis a second predetermined weight, 0<α<0.5,0<β<0.5
Predicting the alternative reliability valuesykkAs a predicted value of reliability between the D2D communication terminals.
2. The method of claim 1, wherein distributing content according to the content distribution coverage comprises:
under the condition that the content distribution coverage meets a second preset condition, the alternative communication terminal is utilized to distribute the content; wherein the alternative communication terminals and the respectively corresponding D2D communication terminals carry out content distribution through D2D communication.
3. A D2D reliability-based content distribution apparatus comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the D2D reliability-based content distribution method of any one of claims 1 to 2 when executing the program instructions.
CN202011364508.1A 2020-11-27 2020-11-27 Content distribution method and device based on D2D reliability Active CN112469008B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011364508.1A CN112469008B (en) 2020-11-27 2020-11-27 Content distribution method and device based on D2D reliability

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011364508.1A CN112469008B (en) 2020-11-27 2020-11-27 Content distribution method and device based on D2D reliability

Publications (2)

Publication Number Publication Date
CN112469008A CN112469008A (en) 2021-03-09
CN112469008B true CN112469008B (en) 2022-07-05

Family

ID=74809241

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011364508.1A Active CN112469008B (en) 2020-11-27 2020-11-27 Content distribution method and device based on D2D reliability

Country Status (1)

Country Link
CN (1) CN112469008B (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159580A (en) * 2007-11-29 2008-04-09 中国电信股份有限公司 Content P2P method and system in content distribution network
JP2011049616A (en) * 2009-08-25 2011-03-10 Hitachi Ltd Mobile communication system and paging area determination method in the same, and call processing control device
CN103581245A (en) * 2012-07-30 2014-02-12 腾讯科技(深圳)有限公司 Content delivery method and system of content delivery network
WO2016184230A1 (en) * 2015-05-15 2016-11-24 乐视云计算有限公司 P2p data downloading method and apparatus
CN106357729A (en) * 2016-08-25 2017-01-25 北京科技大学 D2D content distribution method based on regional cooperation cache
CN107103359A (en) * 2017-05-22 2017-08-29 东南大学 The online Reliability Prediction Method of big service system based on convolutional neural networks
CN107249205A (en) * 2017-06-27 2017-10-13 北京邮电大学 A kind of resource allocation methods, device and user terminal
CN107454562A (en) * 2017-08-16 2017-12-08 北京科技大学 A kind of D2D mobile content distribution methods towards ICN frameworks
WO2018151487A1 (en) * 2017-02-14 2018-08-23 Samsung Electronics Co., Ltd. Device for performing communication in wireless communication system and method thereof
CN109615680A (en) * 2018-12-13 2019-04-12 上海创远仪器技术股份有限公司 The method, apparatus and its storage medium of radio spectrum resources spatial distribution interpolation processing are realized based on Thiessen polygon and apart from inverse ratio
CN109862119A (en) * 2019-03-15 2019-06-07 深圳市网心科技有限公司 Memory capacity sharing method, device, service server, user terminal and system
CN110035008A (en) * 2018-01-11 2019-07-19 中国科学院声学研究所 A kind of content distribution method based on coverage rate dynamic adjustment in node Ad Hoc network
CN111372100A (en) * 2020-04-21 2020-07-03 白杨 End-to-end content distribution network system and distribution method based on distributed election

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110258257A1 (en) * 2010-04-20 2011-10-20 Cisco Technology, Inc. Proximity aggregated network topology algorithm (panta)

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101159580A (en) * 2007-11-29 2008-04-09 中国电信股份有限公司 Content P2P method and system in content distribution network
JP2011049616A (en) * 2009-08-25 2011-03-10 Hitachi Ltd Mobile communication system and paging area determination method in the same, and call processing control device
CN103581245A (en) * 2012-07-30 2014-02-12 腾讯科技(深圳)有限公司 Content delivery method and system of content delivery network
WO2016184230A1 (en) * 2015-05-15 2016-11-24 乐视云计算有限公司 P2p data downloading method and apparatus
CN106357729A (en) * 2016-08-25 2017-01-25 北京科技大学 D2D content distribution method based on regional cooperation cache
WO2018151487A1 (en) * 2017-02-14 2018-08-23 Samsung Electronics Co., Ltd. Device for performing communication in wireless communication system and method thereof
CN107103359A (en) * 2017-05-22 2017-08-29 东南大学 The online Reliability Prediction Method of big service system based on convolutional neural networks
CN107249205A (en) * 2017-06-27 2017-10-13 北京邮电大学 A kind of resource allocation methods, device and user terminal
CN107454562A (en) * 2017-08-16 2017-12-08 北京科技大学 A kind of D2D mobile content distribution methods towards ICN frameworks
CN110035008A (en) * 2018-01-11 2019-07-19 中国科学院声学研究所 A kind of content distribution method based on coverage rate dynamic adjustment in node Ad Hoc network
CN109615680A (en) * 2018-12-13 2019-04-12 上海创远仪器技术股份有限公司 The method, apparatus and its storage medium of radio spectrum resources spatial distribution interpolation processing are realized based on Thiessen polygon and apart from inverse ratio
CN109862119A (en) * 2019-03-15 2019-06-07 深圳市网心科技有限公司 Memory capacity sharing method, device, service server, user terminal and system
CN111372100A (en) * 2020-04-21 2020-07-03 白杨 End-to-end content distribution network system and distribution method based on distributed election

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
杨磊等.一种基于分组管理的混合式P2P存储系统.《计算机科学》.2010,(第01期), *

Also Published As

Publication number Publication date
CN112469008A (en) 2021-03-09

Similar Documents

Publication Publication Date Title
Wang et al. User mobility aware task assignment for mobile edge computing
CN108494612B (en) Network system for providing mobile edge computing service and service method thereof
CN107241767B (en) Mobile collaborative computing method and device
CN109862592B (en) Resource management and scheduling method in mobile edge computing environment based on multi-base-station cooperation
CN111475274B (en) Cloud collaborative multi-task scheduling method and device
KR101706876B1 (en) Service processing method and device
US11968122B2 (en) Joint optimization method and system for delay and spectrum occupation in cloud-edge collaborative network
CN103889001A (en) Method for self-adaptive load balancing based on future load prediction
CN113115256B (en) Online VMEC service network selection migration method
CN102132527A (en) Exchange of processing metric information between nodes
Guo et al. Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
CN104301948A (en) Method and device for switching cells in carrier aggregation network
CN110764605A (en) Multi-core processor control method and device, electronic equipment and storage medium
Chen et al. Distributed aggregative optimization with quantized communication
CN112788698B (en) Data processing method and device and terminal equipment
CN112469008B (en) Content distribution method and device based on D2D reliability
Li et al. Joint offloading decision and resource allocation of 5G edge Intelligent Computing for complex industrial application
CN108513309A (en) A kind of access jamming control method of NB-IoT systems
CN112469057B (en) gNB base station communication control method and device based on D2D reliability
CN101855839B (en) Method for doubly backing up files asynchronously
WO2016169102A1 (en) Multi-channel data connection management method and system, and mobile terminal
Rozario et al. An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA
CN102752758A (en) Channel condition representation-based dynamic spectrum sharing method and system
CN110944309B (en) Control method and device for D2D communication
EP1832023A1 (en) A lock-based call admission control method in which non-real-time services share bandwidth

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