CN108718444A - A kind of D2D communication pattern selection methods based on social activity perception - Google Patents

A kind of D2D communication pattern selection methods based on social activity perception Download PDF

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CN108718444A
CN108718444A CN201810347285.4A CN201810347285A CN108718444A CN 108718444 A CN108718444 A CN 108718444A CN 201810347285 A CN201810347285 A CN 201810347285A CN 108718444 A CN108718444 A CN 108718444A
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user
content
requirements
content requirements
offer
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CN108718444B (en
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鲁蔚锋
林伟军
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
    • H04J11/0023—Interference mitigation or co-ordination
    • H04J11/0026—Interference mitigation or co-ordination of multi-user interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14—Spectrum sharing arrangements between different networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Telephonic Communication Services (AREA)

Abstract

The invention discloses a kind of D2D communication pattern selection methods based on social activity perception, include the following steps：Step 1：Social bonding strength between content offer user and content requirements user is first provided；Step 2：Theoretical transmission rate between content offer user and content requirements user is provided again；Step 3：User utility matrix is calculated according to social bonding strength and theoretical transmission rate；Step 4：The user utility matrix obtained according to step 3 carries out user's pairing to maximize user's total utility as target, if content requirements user matches with base station, content requirements user obtains content using honeycomb mode from base station；If content requirements user provides user's pairing with content, content requirements user is provided from content using D2D patterns and obtains content from user.The present invention has the advantages that effectively solve user's pairing between multiple contents offer users and content requirements offer user and mode selection problem.

Description

A kind of D2D communication pattern selection methods based on social activity perception
Technical field
The present invention relates to cellular network communication technical fields, and in particular to a kind of D2D communication patterns based on social activity perception Selection method.
Background technology
With the fast development of wireless communication technique, there is explosive growth in the portfolio of cellular system, growing User demand and frequency spectrum resource it is rare between contradiction be growing more intense.Therefore, the utilization rate for improving usable spectrum resource is extremely closed It is important.Third generation partner program (3GPP) proposes in senior long term evolution (LTE-A) system development equipment to equipment (D2D) suggestion communicated.D2D communications allow two close user equipmenies to execute immediate data transmission under the assistance of base station. This can not only improve the spectrum efficiency of whole system, can also reduce core network data load, significantly improve total system Performance and capacity.
D2D communications are the communication behavior between human user after all, therefore, it is necessary to which the social property of user is made To study factor.But D2D communications provide user there is also multiple contents in cellular network at present and content requirements provide user Between user's pairing and the problem of model selection.
Invention content
The object of the present invention is to provide it is a kind of can effectively solve multiple contents users are provided and content requirements provide user it Between user pairing and mode selection problem based on social activity perception D2D communication pattern selection methods.
To achieve the above object, present invention employs following technical solutions：A kind of D2D based on social activity perception is logical Believe mode selecting method, it is characterised in that：Include the following steps：
Step 1：Social bonding strength between content offer user and content requirements user is first provided；
Step 2：Theoretical transmission rate between content offer user and content requirements user is provided again；
Step 3：The content obtained according to step 1 provide social bonding strength between user and content requirements user, And the theoretical transmission rate between the obtained content offer user of step 2 and content requirements user calculates user utility matrix；
Step 4：The user utility matrix obtained according to step 3 carries out user to maximize user's total utility as target Pairing, if content requirements user matches with base station, content requirements user obtains content using honeycomb mode from base station； If content requirements user provides user's pairing with content, content requirements user provides user using D2D patterns from content Place obtains content.
Further, a kind of D2D communication pattern selection methods based on social activity perception above-mentioned, wherein：In step 1, Content provides the circular of the social bonding strength between user and content requirements user, includes the following steps：
Step (1)：By design key word identity user preference, obtain the preference vector of content offer user needs with content The preference vector for asking user provides the cosine between the preference vector and the preference vector of content requirements user of user by content Similarity obtains the cosine similarity between content offer user and content requirements user；
Step (2)：User and the respective friend relation of content requirements user are provided according to content, is provided by calculating content The ratio that common friend between user and content requirements user accounts for whole good friends obtains content offer user and content requirements use Close relation degree between family；
Step (3)：Cosine similarity, close relation degree and the tune between user and content requirements user are provided according to content Integral divisor obtains the social bonding strength between content offer user and content requirements user.
Further, a kind of D2D communication pattern selection methods based on social activity perception above-mentioned, wherein：In step 2, The theory between content offer user and content requirements user is calculated according to the channel state information in cell and Shannon's theorems Transmission rate.
Further, a kind of D2D communication pattern selection methods based on social activity perception above-mentioned, wherein：In step 3, The circular of user utility matrix, includes the following steps：
Step (1)：Theoretical transmission rate between content offer user and content requirements user, social bonding strength are provided And Dynamic gene calculates the user utility between content offer user and content requirements user；
Step (2)：The user utility between user and content requirements user is provided by each pair of content, and user is calculated Utility matrix.
Further, a kind of D2D communication pattern selection methods based on social activity perception above-mentioned, wherein：In step 4, The specific method of user's pairing, includes the following steps：
Step (1)：All user's acquiescences are matched with base station when original state, and maximum iteration is arranged；
Step (2)：A content requirements user is chosen when each iteration, and randomly chooses a content and user, meter are provided User utility between content offer user and content requirements user is provided；
Step (3)：If the user utility being calculated is more than the current effectiveness of content requirements user, change its pairing Scheme subsequently enters next iteration, and pairing when the maximum number of iterations is reached terminates.
Through the implementation of the above technical solution, the beneficial effects of the invention are as follows：(1) by cellular base station, phone user and D2D User forms an architecture, and cell base station is that user's selection is best according to channel state information and user social contact bonding strength Communication pattern, effectively reduce the inter-user interference of cellular cell system, improve the availability of frequency spectrum, save carrier resource and promoted User data transmission rate, can effectively solve multiple contents users are provided and content requirements provide user's pairing between user and Mode selection problem；(2) the D2D communication technologys are introduced in cellular networks, are allow apart from close user equipment in base station Assist lower direct communication, D2D user that can use private resource or be multiplexed honeycomb in the case where not influencing phone user and use The resource at family is communicated, and this method can effectively improve user utility；(3) by introducing the guiding of cosine phase velocity with similar Data transmission is provided between the user of preference, the validity of the energisation mode is to have the user of similar preference to take to itself Business is easier to wait until to return；(4) data transmission is provided between the user that close relation degree guides social networks close by introducing, The validity of the energisation mode is that user is often ready for the user service in close relations with oneself.
Description of the drawings
Fig. 1 is a kind of flow diagram of D2D communication pattern selection methods based on social activity perception of the present invention.
Fig. 2 is mode selection processes schematic diagram in the present invention.
Specific implementation mode
The invention will be further described in the following with reference to the drawings and specific embodiments.
As shown in Figure 1 and Figure 2, a kind of D2D communication pattern selection methods based on social activity perception, including following step Suddenly：
Step 1：Social bonding strength between content offer user and content requirements user is first provided；
Wherein, content provides the circular of the social bonding strength between user and content requirements user, including Following steps：
Step (1)：According to keyword tag user preference, such as：Sport, science and technology, amusement etc. pass through design key word mark Know user preference, obtains the preference vector that content provides the preference vector and content requirements user of user, use is provided by content Cosine similarity between the preference vector and the preference vector of content requirements user at family, which obtains content offer user and content, to be needed Seek the cosine similarity between user；
Wherein, the cosine similarity that content is provided between user and content requirements user can be expressed as：
Wherein, i is content requirements user, and j provides user, P for contentiFor the preference vector of content requirements user, PjIt is interior Hold the preference vector that user is provided, Simi,jThe cosine similarity between user is provided for content requirements user and content；
Step (2)：User and the respective friend relation of content requirements user are provided according to content, is provided by calculating content The ratio that common friend between user and content requirements user accounts for whole good friends obtains content offer user and content requirements use Close relation degree between family；
Wherein, the close relation degree that content is provided between user and content requirements user can be expressed as：
Wherein, i is content requirements user, and j provides user, f for contentiGather for the good friend of content requirements user, fjIt is interior Hold good friend's set that user is provided, Fi,jClose relation degree between user is provided for content requirements user and content；
Step (3)：Cosine similarity, close relation degree and the tune between user and content requirements user are provided according to content Integral divisor obtains the social bonding strength between content offer user and content requirements user；
Wherein, the social bonding strength that content is provided between user and content requirements user can be expressed as：
SoI, j=β FI, j+(1-β)·SimI, j
Wherein, Fi,jThe close relation degree of user, Sim are provided for content requirements user and contenti,jFor content requirements user The cosine similarity between user is provided with content, β is Dynamic gene, Soi,jFor content provide user and content requirements user it Between social bonding strength；
Step 2：According in cell channel state information and Shannon's theorems calculate content and user and content requirements be provided Theoretical transmission rate between user；
Wherein, the transmission rate between content requirements user and base station can be expressed as：
Wherein, i is content requirements user, and BS is base station, and w is bandwidth, PbsFor base station transmitting power, dbsFor user and base Stop spacing is from α is fading factor, Ri,BSTransmission rate between content requirements user and base station；
Wherein, the transmission rate that content requirements user and content are provided between user can be expressed as：
Wherein, i is content requirements user, and j provides user for content, and w is bandwidth, Pi,jIt is content requirements user to content The transmission power of user, d are providedi,jThe distance between user, R are provided for content requirements user and contenti,jIt is used for content requirements Family and content provide the transmission rate between user；
The theoretical transmission rate (physical connection quality) that content requirements user and content are provided between user after standardization can To be expressed as：
Wherein, min { Rj } indicates that all the elements provide user's minimum speed limit reached, and max { Rj } then indicates all interior Hold and user's flank speed reached be provided,The theoretical transmission rate between user is provided for content requirements user and content；
Step 3：The content obtained according to step 1 provide social bonding strength between user and content requirements user, And the theoretical transmission rate between the obtained content offer user of step 2 and content requirements user calculates user utility matrix；
Wherein, the circular of user utility matrix, includes the following steps：
Step (1)：Theoretical transmission rate between content offer user and content requirements user, social bonding strength are provided And Dynamic gene calculates the user utility between content offer user and content requirements user；
Wherein, the effectiveness that content requirements user and content are provided between user can be expressed as：
Wherein, Soi,jThe social bonding strength between user and content requirements user is provided for content,For content requirements It is Dynamic gene, u that user and content, which provide the theoretical transmission rate γ between user,i,jIt is provided with content for content requirements user Effectiveness between user；
Step (2)：The user utility between user and content requirements user is provided by each pair of content, and user is calculated Utility matrix；
Step 4：The user utility matrix obtained according to step 3 carries out user to maximize user's total utility as target Pairing, if content requirements user matches with base station, content requirements user obtains content using honeycomb mode from base station； If content requirements user provides user's pairing with content, content requirements user provides user using D2D patterns from content Place obtains content；
Wherein, the specific method of user's pairing, includes the following steps：
Step (1)：All user's acquiescences are matched with base station when original state, and maximum iteration is arranged；
Step (2)：A content requirements user is chosen when each iteration, and randomly chooses a content and user, meter are provided User utility between content offer user and content requirements user is provided；
Step (3)：If the user utility being calculated is more than the current effectiveness of content requirements user, change its pairing Scheme subsequently enters next iteration, and pairing when the maximum number of iterations is reached terminates.
It is an advantage of the invention that：(1) cellular base station, phone user and D2D user are formed into an architecture, cell base It is that user selects best communication pattern to stand according to channel state information and user social contact bonding strength, effectively reduces cellular cell The inter-user interference of system improves the availability of frequency spectrum, saves carrier resource and promotes user data transmission rate, can effectively solve Multiple contents provide user's pairing and mode selection problem between user and content requirements offer user；(2) in cellular network The middle introducing D2D communication technologys, allow apart from close user equipment the direct communication under the assistance of base station, and D2D user can be with The resource that phone user is multiplexed using private resource or in the case where not influencing phone user is communicated, and this method can Effectively improve user utility；(3) data transmission is provided between user of the cosine phase velocity guiding with similar preference by introducing, The validity of the energisation mode is to itself there is the user service of similar preference to be easier to wait until to return；(4) by drawing It enters the GATT and provides data transmission between fastening the close user of density guiding social networks, the validity of the energisation mode is user Often it is ready for the user service in close relations with oneself.

Claims (5)

1. a kind of D2D communication pattern selection methods based on social activity perception, it is characterised in that：Include the following steps：
Step 1：Social bonding strength between content offer user and content requirements user is first provided；
Step 2：Theoretical transmission rate between content offer user and content requirements user is provided again；
Step 3：The content obtained according to step 1 provide social bonding strength between user and content requirements user and The content that step 2 obtains provides the theoretical transmission rate between user and content requirements user and calculates user utility matrix；
Step 4：The user utility matrix obtained according to step 3 carries out user's pairing to maximize user's total utility as target, If content requirements user matches with base station, content requirements user obtains content using honeycomb mode from base station；If Content requirements user provides user's pairing with content, then content requirements user is obtained using D2D patterns from content offer user Take content.
2. a kind of D2D communication pattern selection methods based on social activity perception according to claim 1, it is characterised in that：? In step 1, content provides the circular of the social bonding strength between user and content requirements user, including following Step：
Step (1)：By design key word identity user preference, preference vector and content requirements use that content provides user are obtained The preference vector at family, the preference vector that user is provided by content are similar to the cosine between the preference vector of content requirements user Degree obtains the cosine similarity between content offer user and content requirements user；
Step (2)：User and the respective friend relation of content requirements user are provided according to content, user is provided by calculating content Common friend between content requirements user account for whole good friends ratio obtain content provide user and content requirements user it Between close relation degree；
Step (3)：According to content provide cosine similarity, close relation degree and adjustment between user and content requirements user because Son obtains the social bonding strength between content offer user and content requirements user.
3. a kind of D2D communication pattern selection methods based on social activity perception according to claim 1, it is characterised in that：? In step 2, according in cell channel state information and Shannon's theorems calculate content provide user and content requirements user it Between theoretical transmission rate.
4. a kind of D2D communication pattern selection methods based on social activity perception according to claim 1, it is characterised in that：? In step 3, the circular of user utility matrix includes the following steps：
Step (1)：Theoretical transmission rate, social bonding strength and tune between user and content requirements user is provided by content Integral divisor calculates the user utility between content offer user and content requirements user；
Step (2)：The user utility between user and content requirements user is provided by each pair of content, and user utility is calculated Matrix.
5. a kind of D2D communication pattern selection methods based on social activity perception according to claim 1, it is characterised in that：? In step 4, the specific method of user's pairing includes the following steps：
Step (1)：All user's acquiescences are matched with base station when original state, and maximum iteration is arranged；
Step (2)：A content requirements user is chosen when each iteration, and a content offer user is be provided, in calculating The user utility provided between user and content requirements user is provided；
Step (3)：If the user utility being calculated is more than the current effectiveness of content requirements user, change its matching side Case subsequently enters next iteration, and pairing when the maximum number of iterations is reached terminates.
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