CN105578582A - Honeycomb heterogeneous network user association and resource allocation method and device - Google Patents

Honeycomb heterogeneous network user association and resource allocation method and device Download PDF

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CN105578582A
CN105578582A CN201610033888.8A CN201610033888A CN105578582A CN 105578582 A CN105578582 A CN 105578582A CN 201610033888 A CN201610033888 A CN 201610033888A CN 105578582 A CN105578582 A CN 105578582A
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user
network
association
resource allocation
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CN105578582B (en
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柴蓉
黄峥
陈前斌
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Chongqing University of Post and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
    • H04W52/244—Interferences in heterogeneous networks, e.g. among macro and femto or pico cells or other sector / system interference [OSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
    • H04W52/265—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the quality of service QoS
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
    • H04W52/267—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the information rate
    • 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
    • H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/53—Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/543—Allocation or scheduling criteria for wireless resources based on quality criteria based on requested quality, e.g. QoS

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

Abstract

The invention relates to a honeycomb heterogeneous network user association and resource allocation method and device belonging to the mobile communication technical field. According to the method and the device, user service demand features and user received electromagnetic radiation are taken into overall consideration; an optimum transmitting power is determined for a user under the condition of satisfying the QoS demand of the user; an optimum network association strategy is determined for the user by taking the minimum user electromagnetic radiation as a criterion; and further, the united user electromagnetic radiation is minimized.

Description

A kind of honeycomb heterogeneous network user-association and resource allocation methods and device
Technical field
The invention belongs to mobile communication technology field, relate to a kind of honeycomb heterogeneous network user-association and resource allocation methods and device.
Background technology
Along with wireless communication technology is fast-developing, various intelligent terminal presents explosive growth trend, and rich and varied data service also continues to bring out, and user's high-rate service needs to propose stern challenge to conventional cellular network.Honeycomb heterogeneous network technologies is by classical macro-cellular coverage, introduce low power nodes, as relay, Pico cell website and Home eNodeB etc., strengthen the covering of specific region targetedly, formation multitiered network covers, effectively can realize user QoS to ensure, elevator system resource utilization.
Be positioned at overlapping covered user in honeycomb heterogeneous network scene can realize being associated with heterogeneous networks realizing transfer of data, how optimum choice related network is significant to the enhancing realizing user's transmission performance.In addition, user accesses heterogeneous networks and carries out information transmission and need to consume certain through-put power, and how under meeting user and transmitting the condition of demand, combined optimization user-association and transmit power allocation are problem demanding prompt solutions.
Honeycomb heterogeneous network user-association scheme is considered in existing research at present, as document AnAutomatedDynamicOffsetforNetworkSelectioninHeterogeneo usNetworks proposes a kind of user-association scheme biased based on dynamic self-optimizing, the program carrys out the biased of dynamic conditioning low power nodes by the loading condition of macrocellular sensing network and channel status, make user between macrocellular and low power nodes, select more suitably network, thus improve Consumer's Experience and overall network utilance.Document QoS-AwareUserAssociationforLoadBalancinginHeterogeneousC ellularNetworks proposes a kind of user-association scheme in conjunction with QoS perception and Load-aware, loading condition current for each base station and the attainable transmission rate of user are modeled as network weights maximization of utility problem by the program, by solving this optimization problem, user QoS can be realized and ensure and Network Load Balance.
In existing research, plurality is based on factor determination optimal user associating policies such as user's QoS demand and Network Load Balances, and less consideration federated user related question and resource allocation problem, be difficult to the combined optimization and the overall performance of network optimization that realize Internet resources.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of honeycomb heterogeneous network user-association and resource allocation methods and device, the method and device are under honeycomb heterogeneous network scene, consider the business demand, transmission characteristic etc. of user, the combined optimization of user-association and Resourse Distribute is realized, in guarantee user electromagnetic radiation minimized guarantee simultaneously user QoS demand based on federated user electromagnetic radiation Optimality Criteria.
For achieving the above object, the invention provides following technical scheme:
A kind of honeycomb heterogeneous network user-association and resource allocation methods, in the macrocellular network scenarios that cover overlapping with multiple cellulor, according to User Status and network state information, based on the total electromagnetic radiation (ElectroMagneticRadiation of user, EMR) minimize criterion optimization and determine user-association and resource allocation policy, specifically comprise the following steps:
1) user-association variable α is defined ij∈ 0,1}, i=1,2 ..., M, j=1,2 ..., N, wherein, M is number of users, and N is network number in system, α ij=1 represents that i-th user-association is to network j, otherwise, α ij=0 represents that i-th user is not associated to network j;
2) according to subscriber channel characteristic and network state information determination user-association to the peak transfer rate of each network, with represent that user i is associated to the peak transfer rate of network j;
3) user's moving direction and the user angle to each network base station line is calculated, with θ according to user's mobile status ijrepresent the angle of user's i moving direction and user i and network j base station line;
4) according to user's QoS demand and user's mobile status determination candidate association network;
5) each user's electromagnetic radiation value is calculated, with ξ according to each network characteristic and user's transmission characteristic ijrepresent the electromagnetic radiation function of user i when network j carries out business transmission;
6) formula is called electromagnetic radiation value total after calculating each user-association to corresponding candidate network, minimizes optimization based on the total electromagnetic radiation of user and determines each user-association and power distribution strategies.
Further, in step 2) in, call shannon formula and can obtain the transmission rate R of user i in network j ij: wherein, B jrepresent the available bandwidth of network j, P ijbe the through-put power of i-th user in network j, h ijrepresent the channel gain of user i and network j, σ 2 represents noise power; Definition user i maximum transmission power is the peak transfer rate that user i is associated to network j can be obtained
Further, in step 3) in, set up rectangular coordinate system, the coordinate of user i can be obtained according to user's mobile status the coordinate of base station j can be obtained according to network state user i is made to the vector of initial point to be base station to the vector of initial point is taking customer location as the user moving speed vector of starting point is vector then between user and base station can be expressed as call vector angle computing formula user's moving direction and the angle theta between user and base station line can be obtained ij.
Further, in step 4) in, determine user's candidate association network according to user's QoS demand and user's mobile status, must meet the following conditions if user i can be associated to network j: (1) represent user i minimum transmission rate demand; (2) θ ij≤ θ th, θ threpresent user's moving direction and angle threshold value between user and base station line; The candidate association network of definition user i integrates as Φ i, N jrepresent network j, if N jsatisfy condition (1), (2), then N jcan be used as user i candidate association network, that is: N j∈ Φ i.
Further, in step 5) in, call formula calculate user i electromagnetic radiation value in network j, wherein, S ijrepresent the absorption rate of user i in network j, S ijdetermined by mobile terminal, human-body conduction rate and network operating band; represent the circuit power of user i; T ijrepresent user i transmission time in network j, can by formula T ij=L i/ R ijobtain, wherein, L irepresent the data packet length of user i.
Further, in step 6) in, meeting under the restrictive condition such as user's transmission rate requirements and user's through-put power, call formula optimization Solution user-association and power distribution strategies namely
Present invention also offers a kind of honeycomb heterogeneous network user-association and resource allocation device, comprising: information collecting platform, user-association and resource allocation decisions platform, information exchange platform;
Described information collecting platform is for collecting user's QoS demand, user's mobile status, subscriber channel state information and network state information; This platform comprises User Status collection module and network state collection module, and wherein, User Status collection module is responsible for collecting user's QoS demand, user's mobile status and subscriber channel state; Network state collection module is responsible for collecting user's available network state information, as transmission bandwidth, received signal strength;
Described user-association and resource allocation decisions platform, for receiving user collected by information collecting platform and network state information, are optimized and are determined user-association and resource allocation policy; This platform comprises candidate association network selection module and user-association and resource allocation decisions module, and wherein, candidate association network selection module, determines user's candidate association collection of network according to user and network state information; User-association and resource allocation decisions module, based on restrictive conditions such as user-association, QoS demand and through-put powers, perform user-association and resource allocation methods, optimize and determine user-association and resource allocation policy, minimize to realize the total electromagnetic radiation of user;
Described information exchange platform is for performing user terminal and network information interaction; This platform comprises network monitoring module, User Status monitoring modular and user-association and Resourse Distribute Executive Module, wherein, and network monitoring module monitoring network state information, and be sent to network state collection module; User Status monitoring module monitors user's QoS demand and subscriber channel state, transfer to User Status collection module; User-association and Resourse Distribute Executive Module receive the decision information of user-association and resource allocation decisions module, perform corresponding user-association and resource allocation policy.
Beneficial effect of the present invention is: honeycomb heterogeneous network user-association of the present invention and resource allocation methods and device consider the electromagnetic radiation that customer service demand characteristics and user receive, meeting under user's QoS demand condition for user determines best transmit power, and be minimised as criterion for user based on user's electromagnetic radiation and determine optimum network associating policy, and then realize federated user electromagnetic radiation and minimize.
Accompanying drawing explanation
In order to make object of the present invention, technical scheme and beneficial effect clearly, the invention provides following accompanying drawing and being described:
Fig. 1 is honeycomb heterogeneous network scene schematic diagram;
Fig. 2 is apparatus structure schematic diagram of the present invention;
Fig. 3 is the method for the invention flow chart.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is honeycomb heterogeneous network scene schematic diagram, in macrocellular coverage, dispose multiple low power nodes, as Picocell, Femtocell, user can select different networks to associate in macrocellular coverage, and carries out power division according to the transmission rate requirements of self.
Fig. 3 is the schematic flow sheet of the honeycomb heterogeneous network user-association that proposes of the present invention and resource allocation methods, as shown in the figure: the concrete steps of this method are:
301: definition user-association variable and power and variable
Definition user-association variable α ij∈ 0,1}, i=1,2 ..., M, j=1,2 ..., N, wherein, M is number of users, and N is the network number in system, α ij=1 represents that i-th user-association is to network j, otherwise, α ij=0 represents that i-th user is not associated to network j;
302: determine the peak transfer rate of user-association to each network
Call shannon formula and can obtain the transmission rate R of user i to network j ij: wherein, B jrepresent the available bandwidth of network j; P ijbe the through-put power of i-th user in network j; h ijrepresent the channel gain of user i and network j; σ 2represent noise power.The maximum transmission power of definition user i is user's maximum transmission power is substituted into shannon formula and can obtain the peak transfer rate that user i is associated to network j
303: calculate user's moving direction and the user angle to each network base station line
Set up rectangular coordinate system, the coordinate of user i can be obtained according to user's mobile status the coordinate of base station j can be obtained according to network state user i is made to the vector of initial point to be base station to the vector of initial point is taking customer location as the user moving speed vector of starting point is vector then between user and base station can be expressed as call vector angle computing formula user's moving direction and the angle theta between user and base station line can be obtained ij(ignoring base station height).
304: according to user's QoS demand and user's mobile status determination candidate association network
If user i can be associated to network j, then network j must meet the following conditions: (1) represent user i minimum-rate demand; (2) θ ij≤ θ th, θ threpresent user's moving direction and angle threshold value between user and base station line.The candidate association network of definition user i integrates as Φ i, N jrepresent network j, if N jsatisfy condition (1), (2), then N jcan be used as user i candidate association network, that is: N j∈ Φ i.
305: the electromagnetic radiation value calculating user according to each network characteristic and user's transmission characteristic
Call formula calculate the electromagnetic radiation of user i in network j.Wherein, S ijrepresent the absorption rate of user i in network j, S ijdetermined by mobile terminal, human-body conduction rate and network operating band; represent the circuit power of user i; T ijrepresent user i transmission time in network j, can by formula T ij=L i/ R ijobtain, wherein, L irepresent the data packet length of user i.
306: minimize optimization based on federated user electromagnetic radiation and determine each user-association network and power distribution strategies
Meeting under the restrictive condition such as user's transmission rate requirements and user's through-put power, call formula optimization Solution user-association and power distribution strategies namely
Fig. 2 is apparatus structure schematic diagram of the present invention, and as shown in the figure, a kind of honeycomb heterogeneous network user-association provided by the invention and resource allocation device, comprising: information collecting platform, user-association and resource allocation decisions platform, information exchange platform;
Described information collecting platform is for collecting user's QoS demand, user's mobile status, subscriber channel state information and network state information; This platform comprises User Status collection module and network state collection module, and wherein, User Status collection module is responsible for collecting user's QoS demand, user's mobile status and subscriber channel state; Network state collection module is responsible for collecting user's available network state information, as transmission bandwidth, received signal strength;
Described user-association and resource allocation decisions platform, for receiving user collected by information collecting platform and network state information, are optimized and are determined user-association and resource allocation policy; This platform comprises candidate association network selection module and user-association and resource allocation decisions module, and wherein, candidate association network selection module, determines user's candidate association collection of network according to user and network state information; User-association and resource allocation decisions module, based on restrictive conditions such as user-association, QoS demand and through-put powers, perform user-association and resource allocation methods, optimize and determine user-association and resource allocation policy, minimize to realize the total electromagnetic radiation of user;
Described information exchange platform is for performing user terminal and network information interaction; This platform comprises network monitoring module, User Status monitoring modular and user-association and Resourse Distribute Executive Module, wherein, and network monitoring module monitoring network state information, and be sent to network state collection module; User Status monitoring module monitors user's QoS demand and subscriber channel state, transfer to User Status collection module; User-association and Resourse Distribute Executive Module receive the decision information of user-association and resource allocation decisions module, perform corresponding user-association and resource allocation policy
What finally illustrate is, above preferred embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although by above preferred embodiment to invention has been detailed description, but those skilled in the art are to be understood that, various change can be made to it in the form and details, and not depart from claims of the present invention limited range.

Claims (7)

1. a honeycomb heterogeneous network user-association and resource allocation methods, it is characterized in that: in the macrocellular network scenarios that cover overlapping with multiple cellulor, according to User Status and network state information, based on the total electromagnetic radiation (ElectroMagneticRadiation of user, EMR) minimize criterion optimization and determine user-association and resource allocation policy, specifically comprise the following steps:
1) user-association variable α is defined ij∈ 0,1}, i=1,2 ..., M, j=1,2 ..., N, wherein, M is number of users, and N is network number in system, α ij=1 represents that i-th user-association is to network j, otherwise, α ij=0 represents that i-th user is not associated to network j;
2) according to subscriber channel characteristic and network state information determination user-association to the peak transfer rate of each network, with represent that user i is associated to the peak transfer rate of network j;
3) user's moving direction and the user angle to each network base station line is calculated, with θ according to user's mobile status ijrepresent the angle of user's i moving direction and user i and network j base station line;
4) according to user's QoS demand and user's mobile status determination candidate association network;
5) each user's electromagnetic radiation value is calculated, with ξ according to each network characteristic and user's transmission characteristic ijrepresent the electromagnetic radiation function of user i when network j carries out business transmission;
6) formula is called electromagnetic radiation value total after calculating each user-association to corresponding candidate network, minimizes optimization based on the total electromagnetic radiation of user and determines each user-association and power distribution strategies.
2. a kind of honeycomb heterogeneous network user-association according to claim 1 and resource allocation methods, is characterized in that: in step 2) in, call shannon formula and can obtain the transmission rate R of user i in network j ij: wherein, B jrepresent the available bandwidth of network j, P ijbe the through-put power of i-th user in network j, h ijrepresent the channel gain of user i and network j, σ 2represent noise power; Definition user i maximum transmission power is the peak transfer rate that user i is associated to network j can be obtained R i j max = B j l o g ( 1 + P i max h i j σ 2 ) .
3. a kind of honeycomb heterogeneous network user-association according to claim 1 and resource allocation methods, is characterized in that: in step 3) in, set up rectangular coordinate system, the coordinate of user i can be obtained according to user's mobile status the coordinate of base station j can be obtained according to network state user i is made to the vector of initial point to be base station to the vector of initial point is taking customer location as the user moving speed vector of starting point is vector then between user and base station can be expressed as call vector angle computing formula user's moving direction and the angle theta between user and base station line can be obtained ij.
4. a kind of honeycomb heterogeneous network user-association according to claim 1 and resource allocation methods, it is characterized in that: in step 4) in, determine user's candidate association network according to user's QoS demand and user's mobile status, must meet the following conditions if user i can be associated to network j: represent user i minimum transmission rate demand; (2) θ ij≤ θ th, θ threpresent user's moving direction and angle threshold value between user and base station line; The candidate association network of definition user i integrates as Φ i, N jrepresent network j, if N jsatisfy condition (1), (2), then N jcan be used as user i candidate association network, that is: N j∈ Φ i.
5. a kind of honeycomb heterogeneous network user-association according to claim 1 and resource allocation methods, is characterized in that: in step 5) in, call formula calculate user i electromagnetic radiation value in network j, wherein, S ijrepresent the absorption rate of user i in network j, S ijdetermined by mobile terminal, human-body conduction rate and network operating band; represent the circuit power of user i; T ijrepresent user i transmission time in network j, can by formula T ij=L i/ R ijobtain, wherein, L irepresent the data packet length of user i.
6. a kind of honeycomb heterogeneous network user-association according to claim 1 and resource allocation methods, is characterized in that: in step 6) in, meeting under the restrictive condition such as user's transmission rate requirements and user's through-put power, call formula optimization Solution user-association and power distribution strategies namely
7. honeycomb heterogeneous network user-association and a resource allocation device, is characterized in that: comprising: information collecting platform, user-association and resource allocation decisions platform, information exchange platform;
Described information collecting platform is for collecting user's QoS demand, user's mobile status, subscriber channel state information and network state information; This platform comprises User Status collection module and network state collection module, and wherein, User Status collection module is responsible for collecting user's QoS demand, user's mobile status and subscriber channel state; Network state collection module is responsible for collecting user's available network state information, as transmission bandwidth, received signal strength;
Described user-association and resource allocation decisions platform, for receiving user collected by information collecting platform and network state information, are optimized and are determined user-association and resource allocation policy; This platform comprises candidate association network selection module and user-association and resource allocation decisions module, and wherein, candidate association network selection module, determines user's candidate association collection of network according to user and network state information; User-association and resource allocation decisions module, based on restrictive conditions such as user-association, QoS demand and through-put powers, perform user-association and resource allocation methods, optimize and determine user-association and resource allocation policy, minimize to realize the total electromagnetic radiation of user;
Described information exchange platform is for performing user terminal and network information interaction; This platform comprises network monitoring module, User Status monitoring modular and user-association and Resourse Distribute Executive Module, wherein, and network monitoring module monitoring network state information, and be sent to network state collection module; User Status monitoring module monitors user's QoS demand and subscriber channel state, transfer to User Status collection module; User-association and Resourse Distribute Executive Module receive the decision information of user-association and resource allocation decisions module, perform corresponding user-association and resource allocation policy.
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