CN105491510B - The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network - Google Patents

The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network Download PDF

Info

Publication number
CN105491510B
CN105491510B CN201510953536.XA CN201510953536A CN105491510B CN 105491510 B CN105491510 B CN 105491510B CN 201510953536 A CN201510953536 A CN 201510953536A CN 105491510 B CN105491510 B CN 105491510B
Authority
CN
China
Prior art keywords
base station
micro
user
macro base
indicate
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
CN201510953536.XA
Other languages
Chinese (zh)
Other versions
CN105491510A (en
Inventor
杨春刚
肖佳
盛敏
李建东
李红艳
黄鹏宇
侯蓉晖
张琰
马英红
范仲毅
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.)
Xidian University
Original Assignee
Xidian University
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 Xidian University filed Critical Xidian University
Priority to CN201510953536.XA priority Critical patent/CN105491510B/en
Publication of CN105491510A publication Critical patent/CN105491510A/en
Application granted granted Critical
Publication of CN105491510B publication Critical patent/CN105491510B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • 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

Abstract

The invention discloses the business discharging methods that resourceoriented in a kind of intensive isomery cellular network is shared, its method and step are as follows: initialization network resource status unloads towards frequency spectrum leasing in multichannel formation Stable coalitions subregion, alliance and business, considers change of network environment simultaneously, is repeated cyclically above step.The present invention provides a kind of business discharging method that resourceoriented is shared for frequency resource scarcity and the unbalanced problem of business load existing for intensive isomery cellular network；The performance indicators such as network performance and network delay design utility function is taken into account, proposes macro-micro-base station framework for cooperation based on Game with Coalitions theory, resourceoriented is shared to can be achieved efficient business unloading；The present invention is based on Stable coalitions subregions to realize efficient utilization to the frequency spectrum resource in alliance, and then improves overall performance of network.

Description

The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network
Technical field
It is shared that the invention belongs to resourceorienteds in wireless communication technology field more particularly to a kind of intensive isomery cellular network Business discharging method.
Background technique
It is rare as following mobile between the surge and frequency spectrum resource of business datum demand as mobile communication develops rapidly The opportunities and challenges of Communication Development.However, in the environment of current heterogeneous network height fusion development, the deployment package in macrocellular Include the various low-power including microcellulor (Microcell), Home eNodeB (Femtocell) and relay node (Relay Node) Node (i.e. micro-base station) becomes one of the key technology for promoting network capacity.Since micro-base station coverage area and antenna amount limit Equal constraints lead to problems such as uneven there are serious load in network and the availability of frequency spectrum are low, obstruction isomery honeycomb The promotion of the further deployment and the availability of frequency spectrum of network.
Business unloading as a kind of very promising scheme for promoting the availability of frequency spectrum, is realized net under given conditions Partial data flow in network unloads the technology of other networks.But in intensive isomery cellular network, the isomery of wireless environment Property and complexity greatly increase, existing business Unloading Technology cannot more efficiently distribute resource and alleviate interference, therefore cause The problem of isomery cellular network degraded performance.Therefore, how other advanced skills are combined in intensive isomery cellular network Art carries out reasonable business unloading and realizes that the efficient utilization of resources becomes urgent problem to be solved to improve overall performance of network. Frequency spectrum resource use aspects currently are being promoted, it is basic to include following several technologies: the frequency spectrum leasing technology based on status information, base In the business Unloading Technology of different Q os, the non-cooperation resource allocation methods based on game theory.
Patent application document " a kind of hierarchical cellular network in frequency spectrum rent method " (publication number of Xian Electronics Science and Technology University CN103561409A, application number 201310385814.7, applying date 2013.08.29) in a kind of hierarchical cellular network intermediate frequency is disclosed Rent method is composed, this method adjusts frequency spectrum price and transmission power according to the broadcast message that service provider receives in real time.But this method Shortcoming be: when under intensive isomery honeycomb scene, need interaction times and mutual information data between service provider larger, and It cannot be guaranteed the requirement of the real-time under the scenes such as the wireless data service of time-varying and the decline of dynamic wireless channel.
Patent application document " the business discharging method based on different QoS " (publication number of Beijing University of Post & Telecommunication CN103327541A, application number 201310187980.6, applying date 2013.05.20) in a kind of industry based on different QoS is disclosed Business discharging method, this method devise the business unloading relative influence factor and accordingly selection business unloading target BS, improve nothing The utilization rate of line resource.It is in place of this method Shortcomings: causes under base station performance after not accounting for target BS unloading business The problem of drop, and do not take appropriate incentive measure to promote to cooperate between base station.
Patent application document " the radio resource optimization side in LTE-A relay system based on game theory of Xi'an Communications University A kind of LTE- is disclosed in method " (publication number CN103369568A, application number 201310291899.2, applying date 2013.07.11) Based on the radio resource optimizing method of game theory in A relay system, this method is mainly solved when introducing relaying in cellular cell When compromise problem between throughput of system and user fairness.Deficiency existing for this method is: its game resource optimization mistake It needs repeatedly to solve first-order partial derivative in journey, it is slow to calculate complicated and convergence rate.
Summary of the invention
The present invention in view of the above shortcomings of the prior art, it is shared to provide resourceoriented in a kind of intensive isomery cellular network Business discharging method, this method combines frequency spectrum to rent by macro-micro-base station framework for cooperation in research intensive isomery cellular network It rents and business Unloading Technology, realizes the efficient utilization of frequency spectrum resource, and improve overall performance of network.
To solve problems of the prior art, the specific technical solution of use is:
The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network, comprising the following steps:
S1, initialization network resource status；
S2, Stable coalitions subregion is formed towards multichannel；
Frequency spectrum leasing and business unloading in S3, alliance；
When S4, consideration change of network environment, it is repeated cyclically above step, realizes the connection under multichannel Stable coalitions subregion Frequency spectrum leasing and business unloading in alliance.
Preferred scheme, in initialization network resource status described in step S1, micro-base station is multiplexed the partial frequency spectrum of macro base station Resource, and the descending power transmission signal that macro base station and micro-base station are kept fixed.Under the descending power of the fixation is maximum Row power.
Further preferred scheme forms the method and step of Stable coalitions subregion described in step S2 towards multichannel are as follows:
S21, interference list is constructed towards multichannel；
S22, Stable coalitions are formed.
The method for constructing interference list towards multichannel are as follows:
S21a, (RSSI) is indicated based on received channel strength, macro base station is active in by affiliated macro base station user detection Micro-base station in all downlink sub-channels k ∈ Κ (Κ is to be multiplexed number of sub-channels) being re-used, micro-base station are also perceived and are multiplexed Macro base station user in subchannel；
S21b, all multiplexings downlink sub-channels in macro base station user m ∈ km(kmFor the macro base station in multiplexing subchannel k Number of users) micro-base station that will test interferes by weak sequence, being respectively formed the interference list of respective sub-channel, and pass through by force Wireless channel feeds back to macro base station；
S21c, micro-base station n ∈ N (N is by micro-base station quantity) will be multiplexed in subchannel the macro base station user that is perceived by Distance sorts from the near to the remote.
The method for forming Stable coalitions are as follows:
S22a, macro base station be based on interference list, successively with the micro-base station n ∈ N in respective sub-channel kk,Nk∈N(NkIt is multiple With the micro-base station quantity of subchannel k) it is consulted in pairs, new alliance is formed when micro-base station n has a mind to cooperation, then is used as potential conjunction Make object；
S22b, macro base station and potential cooperation micro-base station n calculate the user utility x before alliancei(Sn,ΠN),(i∈Sn,SnFor Potential alliance under this channel, i are macro base station user m ∪ micro-base station user l ∈ L in potential alliancen,LnFor micro-base station service Micro-base station number of users, ΠNFor alliance's subregion) and alliance total utility ν (Sn,ΠN).Alliance total utility ν (S before alliancen,ΠΝ) Calculating formula is as follows:
Above formula indicates the sum of the effectiveness of all users in potential cooperative alliances, | Sn| it is number of users in alliance,Indicate in current potential cooperative alliances macro base station user utility and micro-base station user utility sum.Its In, the user utility x before alliancei(Sn,ΠN) macro base station user utility x can be divided intom(Sn,ΠN) and micro-base station user utility xl (Sn,ΠN), it is calculated as follows respectively:
In formula,(Sn,ΠN)δWith(Sn,ΠN)δThe macro base station of non-cooperation under respectively current alliance's subregion The reachable information rate of user and the reachable information rate of micro-base station user, SnPotential alliance under channel thus, ΠNIt is current Alliance's subregion,WithThe mean time of the average delay of macro base station user and micro-base station user under respectively non-cooperation Prolong, δ ∈ (0,1) is that transmission capacity-time delay weighs coefficient, i.e. tolerance of the system to propagation delay time, wherein under non-cooperation Macro base station user up to information rate(Sn,ΠN)δIt calculates as follows:
The formula indicates reachable information rate when macro base station user m is interfered by micro-base station in same sub-channel, wherein B Indicate the bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2Indicate macro base station (subscript 0 indicate macro base station) and macro base station user m between channel gain, P0Indicate macro base station for its user m transmission power, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For white Gaussian Noise (AWGN) mean-square value, | H0,m|2P0Indicate the available signal power that macro base station user receives, Indicate the sum of interference signal and the white Gaussian noise that macro base station user receives,Indicate that macro base station user connects The sum of micro-base station interference signal in the same sub-channel received,Indicate macro base station user m at this time Signal to Interference plus Noise Ratio.
The micro-base station user of non-cooperation is up to information rate(l∈ln,lnIt is used for the micro-base station of micro-base station service Amount amount) it is calculated as follows:
Micro-base station user l is by reachable when the interference of micro-base station in macro base station and same sub-channel before the formula indicates alliance Information rate, wherein BlIndicate the bandwidth of the affiliated subchannel of micro-base station user l, | Hn,l|2Indicate that micro-base station n and micro-base station are used Channel gain between the l of family, PnIndicate the transmission power of micro-base station n, | H0,l|2Indicate the letter between macro base station and micro-base station user l Road gain, P0Indicate the transmission power of macro base station, | Hi,l|2Indicate the channel gain between micro-base station i and micro-base station user l, PiFor The transmission power of micro-base station, | Hn,l|2PnIndicate the received available signal power of micro-base station user,Indicate the sum of interference signal and the white Gaussian noise that micro-base station user receives, | H0,l|2P0 Indicate that micro-base station user l receives the interference signal of the same sub-channel of macro base station,Indicate micro-base station user l The interference signal of the micro-base station i under same sub-channel is received,Indicate micro-base station user l Signal to Interference plus Noise Ratio at this time；
WithThe mean time of the average delay of macro base station user and micro-base station user under respectively non-cooperation Prolong, calculating formula is as follows:
Wherein, consider the maximum practical communication load for retransmitting macro base station user when number is D under non-cooperationWith it is micro- The practical communication of base station user loadsRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-for determining grouping when M/D/1 queuing model by poisson arrival process Average arrival rate and micro-base station-micro-base station user average arrival rate of macro base station user, d are current re-transmission number, WithThe probability of the probability of macro base station user transmission success and micro-base station user's transmission success under non-cooperation is respectively indicated, I.e. when signal-to-noise ratio (SINR) is higher than set respective objects value γm、γlProbability,(i=l or M) the d times re-transmission of data just successful probability is indicated, calculating formula difference is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability point of data Successful transmissions Cloth, | H0,m|2Indicate the channel gain between macro base station (subscript 0 indicates macro base station) and macro base station user m, P0Indicate macro base station pair In the transmission power of its user m, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate micro-base station n Transmission power, σ2For white Gaussian noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0Indicate macro The available signal power that base station user receives,Indicate the interference signal that macro base station user receives The sum of with white Gaussian noise,Indicate that macro base station user receives the interference letter of the micro-base station in same sub-channel The sum of number,Indicate the Signal to Interference plus Noise Ratio of macro base station user m at this time；
|Hn,l|2Indicate the channel gain between micro-base station n and micro-base station user l, | H0,l|2Indicate that macro base station and micro-base station are used Channel gain between the l of family, PnIndicate the transmission power of micro-base station n, P0Indicate the transmission power of macro base station, | Hi,l|2Indicate micro- Channel gain between base station i and micro-base station user l, PiFor the transmission power of micro-base station, γlFor micro-base station user's Successful transmissions mesh Scale value, | H0,m|2P0Indicate the available signal power that micro-base station user receives,Indicate micro- The sum of interference signal that base station user receives and white Gaussian noise, | H0,l|2P0Indicate that micro-base station user receives macro base station The interference signal of same sub-channel,Indicate that micro-base station user receives the dry of the micro-base station under same sub-channel Signal is disturbed,Indicate the Signal to Interference plus Noise Ratio of micro-base station user l at this time.
User utility x after S22c, macro base station and potential alliance's micro-base station estimation alliancei *(Sn,ΠΝ) and alliance's total utility ν*(Sn,ΠΝ), the alliance total utility ν after alliance*(Sn,ΠΝ) calculating formula is as follows:
The formula indicates alliance SnIn all users the sum of effectiveness, | Sn| it is the number of users of current alliance,Indicate in current alliance's subregion cooperate after macro base station user utility and micro-base station user utility ask With.Wherein, the user utility x after alliancei *(Sn,ΠΝ) macro base station user utility x can be divided intom *(Sn,ΠN) and micro-base station user Effectiveness xl *(Sn,ΠN), it is calculated as follows respectively:
In formula,(Sn,ΠN) and(Sn,ΠN) be respectively cooperation under current alliance's subregion macro base station user The reachable information rate of reachable information rate and micro-base station user,WithMacro base station user's is flat respectively under cooperation The average delay of equal time delay and micro-base station user, δ ∈ (0,1) are that transmission capacity-time delay weighs coefficient, i.e., system is to propagation delay time Tolerance, wherein the reachable information rate of macro base station user under cooperation(Sn,ΠN) it is calculated as follows:
Formula tabular form macro base station user m after alliance by alliance outside micro-base station n, n ∈ Nk\SnInterference when it is reachable Information rate, B indicate the bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2It indicates Channel gain between macro base station (subscript 0 indicates macro base station) and macro base station user m, P0Indicate macro base station for its user m's Transmission power, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For white Gaussian noise (AWGN) mean-square value, | H0,m|2P0For the available signal power that macro base station user receives,I.e. macro base station user receives the sum of interference signal and white Gaussian noise of the micro-base station outside alliance,Indicate the Signal to Interference plus Noise Ratio under macro base station user cooperation；
The reachable information rate of micro-base station user l under cooperation(Sn,ΠN) it is calculated as follows:
The formula indicates micro-base station user after alliance by micro-base station n ∈ N outside alliancek\SnInterference when reachable information speed Rate, wherein BlIndicate the bandwidth of the affiliated subchannel of micro-base station user l, | Hn,l|2Between expression micro-base station n and micro-base station user l Channel gain, PnIndicate the transmission power of micro-base station n, | Hi,l|2Indicate the channel gain between micro-base station i and micro-base station user l, Pi For the transmission power of micro-base station, | Hn,l|2PnIndicate the available signal power that micro-base station user receives,It is i.e. micro- Base station user receives the sum of interference signal and white Gaussian noise of the micro-base station outside alliance,For micro- base It stands Signal to Interference plus Noise Ratio of the user under cooperation；
WithThe average delay of the average delay of macro base station user and micro-base station user respectively under cooperation, meter Formula is as follows:
Wherein, the maximum practical communication load for retransmitting macro base station user when number is D is considered under cooperationAnd micro-base station The practical communication of user loadsRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-for determining grouping when M/D/1 queuing model by poisson arrival process Average arrival rate and micro-base station-micro-base station user average arrival rate of macro base station user, d are current re-transmission number, WithThe probability of the probability of macro base station user transmission success and micro-base station user's transmission success under cooperation is respectively indicated, i.e., When signal-to-noise ratio (SINR) is higher than set respective objects value γm、γlProbability, calculating formula difference it is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability point of data Successful transmissions Cloth, | H0,m|2Indicate the channel gain between macro base station and macro base station user m, P0Indicate macro base station for the transmitting function of its user m Rate, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For height This white noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0Have for what macro base station user received With signal power,Indicate that macro base station user receives whole interference of micro-base station in same sub-channel outside alliance Signal,Indicate the sum of interference signal and the white Gaussian noise that macro base station user receives,Indicate the Signal to Interference plus Noise Ratio under macro base station user m cooperation；
|Hn,l|2Indicate the channel gain between micro-base station n and micro-base station user l, PnIndicate the transmission power of micro-base station n, | Hi,l|2Indicate the channel gain between micro-base station i and micro-base station user l, PiFor the transmission power of micro-base station, γlFor micro-base station user Successful transmissions target value, | Hn,l|2P indicates the available signal power that micro-base station user receives,Indicate micro-base station Outside the alliance that user receives in same sub-channel micro-base station interference signal,Indicate that micro-base station user connects The sum of the interference signal received and white Gaussian noise,Indicate that the letter under micro-base station user l cooperation is dry It makes an uproar ratio.
S22d, user utility x after macro base station and micro-base station cooperationi *(Sn,ΠN) and alliance total utility ν*(Sn,ΠN) When not less than preceding effectiveness is cooperated, i.e. xi *(Sn,ΠN)>xi(Sn,ΠN) and ν*(Sn,ΠN) > ν (Sn,ΠN), then macro base station with it is micro- Formal formation alliance is fed back by wire channel between base station；Otherwise, judge macro base station and next potential cooperation micro-base station whether shape At new alliance；
S22e, macro base station sequentially sequentially execute S22a, S22b, S22c, S22d with the micro-base station in all interference lists, directly It is formed to Stable coalitions in all multiplexing subchannels.Micro-base station is detached from new alliance's subregion of current coalition formation in any subchannel Alliance's total utility be less than current steady alliance subregion alliance's total utility.
Scheme still more preferably, frequency spectrum leasing and the method for business unloading in alliance described in step S3 are as follows:
S31, the Stable coalitions subregion based on formation solve optimal frequency by convex optimization tool according to frequency spectrum leasing model The optimal solution of spectrum lease coefficient；
S32, macro base station lease to corresponding micro-base station channel spectrum resource according to resulting optimal frequency spectrum leasing coefficient is calculated, Notify the macro base station user for occupying this channel disconnects former link and establishes new downlink transfer with corresponding micro-base station to link simultaneously, phase It answers micro-base station that the frequency spectrum resource of the relaying window coefficient ratio in gained frequency spectrum resource is distributed to macro base station user and is used for business Transmission.
Wherein, the method for the optimal solution of the optimal frequency spectrum leasing coefficient of solution described in step S31 are as follows:
The sub-channel spectra that micro-base station is multiplexed is normalized to a unit length by frequency spectrum leasing model, while by each list Position is divided into three parts:
First part's unit length is 1- α, and macro base station transmits a signal to affiliated macro base station user；
Second part unit length is α β, and micro-base station gives the macro base station user being unloaded as relay transmission signal；
Part III unit length is α (1- β), and micro-base station transmits a signal to affiliated micro-base station user；
Wherein, α is that frequency spectrum leasing coefficient indicates that macro base station leases to the channel spectrum resource of micro-base station, and β is relay transmission Window coefficient indicates the relaying frequency spectrum resource for the macro base station user distribution that micro-base station is unloading；
The utility function under this model is proposed according to frequency spectrum leasing model, and is solved by convex optimization tool with frequency spectrum leasing Factor alpha and relay transmission window coefficient β are the optimal solution of variable:
Above formula indicates to solve in Stable coalitions subregion in 0 < α of satisfaction, the condition of β < 1 based on frequency spectrum leasing model Maximum user utility xi'(S'n,Π'N) and maximum alliance total utility ν ' (Sn',Π'N), S'nFor under current steady alliance subregion Alliance, Π 'NFor current steady alliance subregion.Wherein, user utility xi' (Sn',Π'N) macro base station user utility x can be divided intom' (S'n,Π'N) and micro-base station user utility x 'l(S'n,Π'N), it is calculated as follows respectively:
With
δ ∈ (0,1) is that transmission capacity-time delay weighs coefficient, i.e., for system to the tolerance of propagation delay time, α and β are respectively frequency Spectrum lease coefficient and relay transmission window coefficient.Wherein, the reachable information rate μ ' of the macro base station user in optimization problemm(α, β,S'n,Π'N) and micro-base station user reachable information rate μl'(α,β,S'n,Π'N) calculating formula is as follows:
Indicate the reachable information speed of macro base station user and micro-base station user under frequency spectrum leasing model under current alliance's subregion Rate,(S'n,Π'N) and(S'n,Π'N) it is macro base station user under current alliance's subregion under cooperation respectively up to letter Rate and micro-base station user are ceased up to information rate, and calculating formula is as shown in S22c.
Scheme still further preferably, the processing method described in step S4 when consideration change of network environment are as follows: work as network rings When border changes, be repeated cyclically step S2 forms frequency spectrum leasing in the alliance of Stable coalitions subregion and step S3 towards multichannel And business unloading；When network environment does not change, be repeated cyclically the initialization network resource status of step S1, S2 towards Multichannel forms frequency spectrum leasing and business unloading in the alliance of Stable coalitions subregion and step S3.
By using above technical scheme, the shared business of resourceoriented is unloaded in a kind of intensive isomery cellular network of the present invention Support method is compared with the prior art, and is had the technical effect that
The first, the present invention provides one for the resource allocation problem be not suitable in processing dense network in the prior art The shared business discharging method of resourceoriented in kind intensive isomery cellular network, efficiently solves that business is unbalanced to ask Topic, and then improve the availability of frequency spectrum.
The second, the present invention promotes to implement business unloading etc. between base station to ask for lacking suitable incentive measure in the prior art Topic, the win-win situation realizing base station by frequency spectrum leasing technology compensation section frequency dividing spectrum resource to the base station of unloading business.
Third, the present invention are directed to calculates complicated and slow convergence rate problem in the prior art, theoretical based on Game with Coalitions, The Stable coalitions under multichannel are formd, optimum utility problem is solved in alliance, receipts are accelerated while reducing calculation amount Hold back speed.
Detailed description of the invention
Fig. 1 is the schematic diagram of collaborative program and non-collaborative program difference under isomery honeycomb scene provided by the invention；
Fig. 2 is the business discharging method that resourceoriented is shared in a kind of intensive isomery cellular network provided by the invention；
Fig. 3 is formation multichannel Stable coalitions subregion flow chart provided by the invention；
Fig. 4 is frequency spectrum leasing model schematic provided by the invention；
Fig. 5 is that the present invention provides embodiment Home eNodeB gain effect when changing with Home eNodeB quantity；
Fig. 6 is that the present invention provides embodiment macro base station user gain effect and deployed position relationship.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, in conjunction with the accompanying drawings and embodiments to this hair It is bright to be described in further detail, it should be understood that described herein specific examples are only used to explain the present invention, and does not have to It is of the invention in limiting.
Application principle of the invention is further described below with reference to Fig. 1 to Fig. 6 and specific embodiment.
The embodiment of the present invention is based primarily upon home base station network (Femtocell Networks) and is illustrated, it is desirable to provide The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network.
Fig. 1 is the schematic diagram of collaborative program and non-collaborative program difference under isomery honeycomb scene provided by the invention, is needed What is illustrated is the home base station network and Home eNodeB (FBS) quantity and number of users that the present invention is not limited in current schematic diagram Amount.
The shared business discharging method of resourceoriented, includes the following steps: in a kind of intensive isomery cellular network
Step 1, initialization network resource status
Initialize network state be Home eNodeB be multiplexed macro base station partial frequency spectrum resource (available subchannels), and macro base station and Home eNodeB keeps stablizing descending power transmission signal.
Step 2 forms Stable coalitions subregion towards multichannel
As unit of each independent orthogonal sub-channels, macro base station and Home eNodeB are based respectively on received channel strength and refer to Show (RSSI), forms corresponding interference list, since macro base station sequentially consulted interfering list top with Home eNodeB in pairs (is It is no to have cooperative desire) to find potential alliance's object, and macro base station and potential family periodically in the current investigation subchannel of judgement Whether base station cooperates to form new alliance, until being formed towards multi channel Stable coalitions subregion.
Frequency spectrum leasing and business unloading in step 3, alliance
Stable coalitions subregion based on formation proposes the utility function under this model according to frequency spectrum leasing model, and passes through Convex optimization tool solves utility function optimal solution.Macro base station leases to corresponding family according to resulting optimal frequency spectrum leasing coefficient is calculated The a certain proportion of channel spectrum resource in front yard base station, at the same the macro base station user for notifying to occupy this channel disconnect former link and with it is corresponding Home eNodeB establishes new downlink transfer link, and corresponding Home eNodeB is by the relaying window coefficient ratio in gained frequency spectrum resource Frequency spectrum resource is distributed to macro base station user and is transmitted for business.
When step 4, consideration change of network environment, such as user mobility and new base station deployment, it is repeated cyclically the above step Suddenly, frequency spectrum leasing and business unloading in the alliance under multichannel Stable coalitions subregion are realized.
Based on the above technical solution, the step 2 is as shown in Fig. 2, its specific steps includes:
(1), interference list is constructed towards multichannel
1a), (Received Signal Strength Indicator is indicated based on received channel strength；RSSI), Macro base station by affiliated macro base station user detection be active in it is all be re-used downlink sub-channels k ∈ Κ (Κ for multiplexing subchannel Quantity) in Home eNodeB, Home eNodeB also perceives the macro base station user in be multiplexed subchannel.
1b), the macro base station user m ∈ k in the downlink sub-channels of all multiplexingsm(kmFor the macro base station in multiplexing subchannel k Number of users) the Home eNodeB interference that will test led to by being respectively formed the interference list of respective sub-channel to weak sequence by force It crosses wireless channel and feeds back to macro base station；
1c), Home eNodeB n ∈ N (N is by Home eNodeB quantity) will be multiplexed the macro base station user perceived in subchannel It sorts from the near to the remote by distance；
(2), Stable coalitions are formed
2a), macro base station be based on interference list, successively with the Home eNodeB n ∈ N in respective sub-channel kk,Nk∈N(NkIt is multiple With the Home eNodeB quantity of subchannel k) it is consulted in pairs, new alliance is formed when Home eNodeB n has a mind to cooperation, then as latent In cooperation object；
2b), macro base station and potential cooperation Home eNodeB n calculate the user utility x before alliancei(Sn,ΠN),(i∈Sn,SnFor Potential alliance under this channel, i are macro base station user m ∪ femtocell user l ∈ L in potential alliancen,LnFor Home eNodeB clothes The femtocell user quantity of business, ΠNFor alliance's subregion) and alliance total utility ν (Sn,ΠN).Alliance total utility ν before alliance (Sn,ΠΝ) calculating formula is as follows:
Above formula indicates the sum of the effectiveness of all users in potential cooperative alliances, | Sn| it is number of users in alliance,Indicate in current potential cooperative alliances macro base station user utility and femtocell user effectiveness sum. Wherein, the user utility x before alliancei(Sn,ΠN) macro base station user utility x can be divided intom(Sn,ΠN) and femtocell user effectiveness xl(Sn,ΠN), it is calculated as follows respectively:
In formula,(Sn,ΠN)δWith(Sn,ΠN)δThe macro base station of non-cooperation under respectively current alliance's subregion The reachable information rate of user and the reachable information rate of femtocell user, SnPotential alliance under channel thus, ΠNTo work as Preceding alliance's subregion,WithThe average delay of macro base station user and femtocell user is flat under respectively non-cooperation Equal time delay, δ ∈ (0,1) are that transmission capacity-time delay weighs coefficient, i.e. tolerance of the system to propagation delay time, wherein non-cooperation feelings Macro base station user under condition is up to information rate(Sn,ΠN)δIt calculates as follows:
The formula indicates reachable information rate when macro base station user m is interfered by Home eNodeB in same sub-channel, wherein B indicates the bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2Expression macro base station (under Mark 0 indicate macro base station) and macro base station user m between channel gain, P0Indicate macro base station for its user m transmission power, | Hn,m|2Indicate the channel gain between Home eNodeB and macro base station user m, PnIndicate the transmission power of Home eNodeB n, σ2For height This white noise (AWGN) mean-square value, | H0,m|2P0Indicate the available signal power that macro base station user receives,Indicate the sum of interference signal and the white Gaussian noise that macro base station user receives, The sum of the Home eNodeB interference signal in same sub-channel that expression macro base station user receives,Table Show the Signal to Interference plus Noise Ratio of macro base station user m at this time.
The femtocell user of non-cooperation is up to information rate(l∈ln,lnFor the family of Home eNodeB service Base station user quantity) it is calculated as follows:
The formula indicates before alliance femtocell user l by macro base station and same sub-channel when the interference of Home eNodeB Up to information rate, wherein BlIndicate the bandwidth of the affiliated subchannel of femtocell user l, | Hn,l|2Indicate Home eNodeB n and Channel gain between femtocell user l, PnIndicate the transmission power of Home eNodeB n, | H0,l|2Indicate macro base station and Home eNodeB Channel gain between user l, P0Indicate the transmission power of macro base station, | Hi,l|2Indicate Home eNodeB i and femtocell user l Between channel gain, PiFor the transmission power of Home eNodeB, | Hn,l|2PnIndicate the received useful signal function of femtocell user Rate,Indicate the sum of interference signal and the white Gaussian noise that femtocell user receives, | H0,l|2P0Indicate that femtocell user l receives the interference signal of the same sub-channel of macro base station,PiIndicate family Base station user l receives the interference signal of the Home eNodeB i under same sub-channel,It indicates The Signal to Interference plus Noise Ratio of femtocell user l at this time；
WithThe average delay of macro base station user and being averaged for femtocell user under respectively non-cooperation Time delay, calculating formula are as follows:
Wherein, consider the maximum practical communication load for retransmitting macro base station user when number is D under non-cooperationAnd family The practical communication of front yard base station user loadsRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-for determining grouping when M/D/1 queuing model by poisson arrival process The average arrival rate and Home eNodeB-femtocell user average arrival rate of macro base station user, d are current re-transmission number,WithRespectively indicate the probability and femtocell user transmission success of macro base station user transmission success under non-cooperation Probability, i.e., when signal-to-noise ratio (SINR) be higher than set respective objects value γm、γlProbability,(i =l m) indicates the d times re-transmission of data just successful probability, and calculating formula difference is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability point of data Successful transmissions Cloth, | H0,m|2Indicate the channel gain between macro base station (subscript 0 indicates macro base station) and macro base station user m, P0Indicate macro base station pair In the transmission power of its user m, | Hn,m|2Indicate the channel gain between Home eNodeB and macro base station user m, PnIndicate family's base It stands the transmission power of n, σ2For white Gaussian noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0Table Show the available signal power that macro base station user receives,Indicate the interference that macro base station user receives The sum of signal and white Gaussian noise,Indicate that macro base station user receives the Home eNodeB in same sub-channel The sum of interference signal,Indicate the Signal to Interference plus Noise Ratio of macro base station user m at this time；
|Hn,l|2Indicate the channel gain between Home eNodeB n and femtocell user l, | H0,l|2Indicate macro base station and family Channel gain between base station user l, PnIndicate the transmission power of Home eNodeB n, P0Indicate the transmission power of macro base station, | Hi,l |2Indicate the channel gain between Home eNodeB i and femtocell user l, PiFor the transmission power of Home eNodeB, γlFor family's base It stands user's Successful transmissions target value, | H0,m|2P0Indicate the available signal power that femtocell user receives,Indicate the sum of interference signal and the white Gaussian noise that femtocell user receives, | H0,l |2P0Indicate that femtocell user receives the interference signal of the same sub-channel of macro base station,Indicate Home eNodeB User receives the interference signal of the Home eNodeB under same sub-channel,Indicate family's base It stands the Signal to Interference plus Noise Ratio of user l at this time.
2c), macro base station and potential alliance's Home eNodeB estimate the user utility x after alliancei *(Sn,ΠΝ) and alliance always imitate Use ν*(Sn,ΠΝ), the alliance total utility ν after alliance*(Sn,ΠΝ) calculating formula is as follows:
The formula indicates alliance SnIn all users the sum of effectiveness, | Sn| it is the number of users of current alliance,Indicate in current alliance's subregion cooperate after macro base station user utility and femtocell user effectiveness ask With.Wherein, the user utility x after alliancei *(Sn,ΠΝ) macro base station user utility x can be divided intom*(Sn,ΠN) and Home eNodeB use Family effectiveness xl*(Sn,ΠN), it is calculated as follows respectively:
In formula,(Sn,ΠN) and(Sn,ΠN) be respectively cooperation under current alliance's subregion macro base station user The reachable information rate of reachable information rate and femtocell user,WithMacro base station user respectively under cooperation The average delay of average delay and femtocell user, δ ∈ (0,1) are that transmission capacity-time delay weighs coefficient, i.e., system is to transmission The tolerance of time delay, wherein the reachable information rate of macro base station user under cooperation(Sn,ΠN) it is calculated as follows:
Formula tabular form macro base station user m after alliance by alliance outside Home eNodeB n, n ∈ Nk\SnInterference when can Up to information rate, B indicates the bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2Table Show the channel gain between macro base station (subscript 0 indicates macro base station) and macro base station user m, P0Indicate macro base station for its user m Transmission power, | Hn,m|2Indicate the channel gain between Home eNodeB and macro base station user m, PnIndicate the transmitting of Home eNodeB n Power, σ2For white Gaussian noise (AWGN) mean-square value, | H0,m|2P0For the available signal power that macro base station user receives,I.e. macro base station user receives the sum of interference signal and white Gaussian noise of the Home eNodeB outside alliance,Indicate the Signal to Interference plus Noise Ratio under macro base station user cooperation；
The reachable information rate of femtocell user l under cooperation(Sn,ΠN) it is calculated as follows:
The formula indicates femtocell user after alliance by Home eNodeB n ∈ N outside alliancek\SnInterference when reachable letter Cease rate, wherein BlIndicate the bandwidth of the affiliated subchannel of femtocell user l, | Hn,l|2Indicate Home eNodeB n and family's base The channel gain stood between user l, PnIndicate the transmission power of Home eNodeB n, | Hi,l|2Indicate that Home eNodeB i and Home eNodeB are used Channel gain between the l of family, PiFor the transmission power of Home eNodeB, | Hn,l|2PnIndicate the useful letter that femtocell user receives Number power,That is the femtocell user interference signal and white Gaussian noise that receive the Home eNodeB outside alliance The sum of,For Signal to Interference plus Noise Ratio of the femtocell user under cooperation；
WithThe average delay of the average delay of macro base station user and femtocell user respectively under cooperation, Calculating formula is as follows:
Wherein, the maximum practical communication load for retransmitting macro base station user when number is D is considered under cooperationWith family's base Stand user practical communication loadRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-for determining grouping when M/D/1 queuing model by poisson arrival process The average arrival rate and Home eNodeB-femtocell user average arrival rate of macro base station user, d are current re-transmission number,WithRespectively indicate the general of the probability of macro base station user transmission success and femtocell user transmission success under cooperation Rate, i.e., when signal-to-noise ratio (SINR) is higher than set respective objects value γm、γlProbability, calculating formula difference it is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability point of data Successful transmissions Cloth, | H0,m|2Indicate the channel gain between macro base station and macro base station user m, P0Indicate macro base station for the transmitting function of its user m Rate, | Hn,m|2Indicate the channel gain between Home eNodeB and macro base station user m, PnIndicate the transmission power of Home eNodeB n, σ2 For white Gaussian noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0For macro base station, user is received Available signal power,
Indicate that macro base station user receives whole interference signals of Home eNodeB in same sub-channel outside alliance,Indicate the sum of interference signal and the white Gaussian noise that macro base station user receives,Indicate the Signal to Interference plus Noise Ratio under macro base station user m cooperation；
|Hn,l|2Indicate the channel gain between Home eNodeB n and femtocell user l, PnIndicate the transmitting function of Home eNodeB n Rate, | Hi,l|2Indicate the channel gain between Home eNodeB i and femtocell user l, PiFor the transmission power of Home eNodeB, γlFor Femtocell user Successful transmissions target value, | Hn,l|2P indicates the available signal power that femtocell user receives,Indicate the interference signal of Home eNodeB in same sub-channel outside the alliance that receives of femtocell user,Indicate the sum of interference signal and the white Gaussian noise that femtocell user receives,Indicate the Signal to Interference plus Noise Ratio under femtocell user l cooperation.
2d), user utility x after macro base station and Home eNodeB cooperationi *(Sn,ΠΝ) and alliance total utility ν*(Sn,ΠΝ) When not less than preceding effectiveness is cooperated, i.e. xi *(Sn,ΠΝ)>xi(Sn,ΠΝ) and ν*(Sn,ΠΝ) > ν (Sn,ΠΝ), then macro base station with Formal formation alliance is fed back by wire channel between Home eNodeB；Otherwise, judge macro base station and next potential cooperation Home eNodeB Whether new alliance is formed；
2e), macro base station sequentially sequentially executes 2a, 2b, 2c, 2d with the Home eNodeB in all interference lists, until all Stable coalitions are formed in multiplexing subchannel.
Fig. 4 is frequency spectrum leasing model schematic provided by the invention, the son that Home eNodeB is multiplexed by frequency spectrum leasing model Channel spectrum is normalized to a unit length, while each unit is divided into three parts:
First part's unit length is 1- α, and macro base station transmits a signal to affiliated macro base station user,
Second part unit length is α β, and micro-base station gives the macro base station user being unloaded as relay transmission signal,
Part III unit length is α (1- β), and micro-base station transmits a signal to affiliated micro-base station user,
Wherein, it indicates that macro base station leases to the channel spectrum resource of micro-base station for frequency spectrum leasing coefficient, is relay transmission window Mouth coefficient indicates the relaying frequency spectrum resource for the macro base station user distribution that micro-base station is unloading.
Effect of the invention can be further illustrated by emulation:
1. simulated conditions:
Simulating scenes of the invention are the intensive isomery bees being made of a macro base station and the overlapping covering of multiple Home eNodeB Nest network, macro base station coverage area is the hexagon that radius is 1Km, wherein N number of Home eNodeB and M macro base station user are disposed, Home eNodeB coverage area is the border circular areas that radius is 20m, includes one family base station user, we default transmission power and exist It is remained unchanged in entire coalition formation process.Signal is mainly declined by by path loss, shade in down direction transmission process The influence of factor about distance such as fall.In addition, being needed more when Home eNodeB is established down direction with macro base station user and connect Consider the wall penetration loss of 12dB.Macro base station disposes 500 available downlink sub-carriers in network, and each subcarrier distributes 180KHz band Width, and belong to different OFDMA subchannels.The simulation parameter according to 3GPP standard formulation is listed in table 1.Due to family's base It stands and all with being random placement per family, to eliminate the influence for generating channel randomness, all emulation data are passed through 10 times Circulation is averaged.
1 isomery cellular network simulated environment parameter setting of table
2. emulation content and result
From figure 5 it can be seen that increasing with Home eNodeB density, in a certain range, Home eNodeB is increased by cooperation related gain Greatly, but be more than certain value when, related benefit reduces instead, trace it to its cause be because almost all of macro base station downlink sub-channels all It selected current optimal Home eNodeB to form alliances, macro base station frequency range becomes crowded, no longer has extra user's unloading To Home eNodeB.To sum up, using proposed alliance's cooperative model in the high region of family's base station deployment rate, it will Obtain higher income.
Fig. 6 provides macro base station user gain effect and deployed position relationship, obtains the border area in macro base station covering, net Network situation difference and interruption rate height, if macro base station can find the Home eNodeB for being capable of forming alliance in this case, it will take Better effectiveness, while we are it can also be seen that macro base station fringe region alliance quantity is most (unloaded most Macro base station user).
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (6)

1. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network, which is characterized in that it includes following Step:
S1, initialization network resource status；
S2, Stable coalitions subregion is formed towards multichannel；
Frequency spectrum leasing and business unloading in S3, alliance；
When S4, consideration change of network environment, it is repeated cyclically above step, is realized in the alliance under multichannel Stable coalitions subregion Frequency spectrum leasing and business unloading；
The method and step of Stable coalitions subregion is formed described in step S2 towards multichannel are as follows:
S21, interference list is constructed towards multichannel；
S22, Stable coalitions are formed；
The method for constructing interference list towards multichannel described in step S21 are as follows:
S21a, (RSSI) is indicated based on received channel strength, macro base station is active in all by affiliated macro base station user detection The micro-base station in downlink sub-channels k ∈ K (K is to be multiplexed number of sub-channels) being re-used, micro-base station also perceive be multiplexed subchannel In macro base station user；
S21b, all multiplexings downlink sub-channels in macro base station user m ∈ km(kmFor the macro base station user in multiplexing subchannel k Quantity) the micro-base station interference that will test by arriving weak sequence by force, is respectively formed the interference list of respective sub-channel, and by wirelessly Channel feedback is to macro base station；
S21c, micro-base station n ∈ N (N is by micro-base station quantity) will be multiplexed the macro base station user perceived in subchannel by distance It sorts from the near to the remote；
The method of Stable coalitions is formed described in step S22 are as follows:
S22a, macro base station be based on interference list, successively with the micro-base station n ∈ N in respective sub-channel kk,Nk∈N(NkFor multiplexing The micro-base station quantity of channel k) it is consulted in pairs, new alliance is formed when micro-base station n has a mind to cooperation, then is used as potential cooperation pair As；
S22b, macro base station and potential cooperation micro-base station n calculate the user utility x before alliancei(Sn,ΠN),(i∈Sn,SnBelieve thus Potential alliance under road, i are macro base station user m ∪ micro-base station user l ∈ L in potential alliancen,LnFor micro- base of micro-base station service It stands number of users, ΠNFor alliance's subregion) and alliance total utility ν (Sn,ΠN)；Alliance total utility ν (S before alliancen,ΠΝ) calculate Formula is as follows:
Above formula indicates the sum of the effectiveness of all users in potential cooperative alliances, | Sn| it is number of users in alliance,Indicate in current potential cooperative alliances macro base station user utility and micro-base station user utility sum；Its In, the user utility x before alliancei(Sn,ΠN) macro base station user utility x can be divided intom(Sn,ПN) and micro-base station user utility xl (Sn,ΠN), it is calculated as follows respectively:
In formula,WithThe macro base station user of non-cooperation under respectively current alliance's subregion Up to the reachable information rate of information rate and micro-base station user, SnPotential alliance under channel thus, ΠNFor current alliance point Area,WithThe average delay of the average delay of macro base station user and micro-base station user, δ ∈ under respectively non-cooperation (0,1) coefficient, i.e. tolerance of the system to propagation delay time are weighed for transmission capacity-time delay, wherein the macro base under non-cooperation User stand up to information rateIt calculates as follows:
The formula indicates reachable information rate when macro base station user m is interfered by micro-base station in same sub-channel, wherein B is indicated The bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2Indicate macro base station (0 table of subscript Show macro base station) and macro base station user m between channel gain, P0Indicate macro base station for its user m transmission power, | Hn,m|2 Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For white Gaussian noise (AWGN) mean-square value, | H0,m|2P0Indicate the available signal power that macro base station user receives,It indicates The sum of interference signal that macro base station user receives and white Gaussian noise,Indicate that macro base station user receives Same sub-channel in the sum of micro-base station interference signal,Indicate the letter of macro base station user m at this time Dry ratio of making an uproar；
The micro-base station user of non-cooperation is up to information rate(l∈ln,lnFor the micro-base station number of users of micro-base station service Amount) it is calculated as follows:
Micro-base station user l is by the reachable information in macro base station and same sub-channel when the interference of micro-base station before the formula indicates alliance Rate, wherein BlIndicate the bandwidth of the affiliated subchannel of micro-base station user l, | Hn,l|2Between expression micro-base station n and micro-base station user l Channel gain, PnIndicate the transmission power of micro-base station n, | H0,l|2Indicate that the channel between macro base station and micro-base station user l increases Benefit, P0Indicate the transmission power of macro base station, | Hi,l |2 indicate the channel gain between micro-base station i and micro-base station user l, PiFor micro- base The transmission power stood, | Hn,l|2PnIndicate the received available signal power of micro-base station user, Indicate the sum of interference signal and the white Gaussian noise that micro-base station user receives, | H0,l|2P0It is macro to indicate that micro-base station user l is received The interference signal of the same sub-channel of base station,Indicate that micro-base station user l receives micro- base under same sub-channel It stands the interference signal of i,Indicate the Signal to Interference plus Noise Ratio of micro-base station user l at this time；
WithThe average delay of the average delay of macro base station user and micro-base station user under respectively non-cooperation, meter Formula is as follows:
Wherein, consider the maximum practical communication load for retransmitting macro base station user when number is D under non-cooperationAnd micro-base station The practical communication of user loadsRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-Hong Ji for determining grouping when M/D/1 queuing model by poisson arrival process It stands the average arrival rate and micro-base station-micro-base station user average arrival rate of user, d is current re-transmission number, Ptm NCWith Ptl NCThe probability of the probability of macro base station user transmission success and micro-base station user's transmission success under non-cooperation is respectively indicated, i.e., When signal-to-noise ratio (SINR) is higher than set respective objects value γm、γlProbability, Indicate the d times re-transmission of data just successful probability, calculating formula difference is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability distribution of data Successful transmissions, | H0,m|2Indicate the channel gain between macro base station (subscript 0 indicates macro base station) and macro base station user m, P0Indicate macro base station for it The transmission power of user m, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the hair of micro-base station n Penetrate power, σ2For white Gaussian noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0Indicate macro base station The available signal power that user receives,Indicate the interference signal and height that macro base station user receives The sum of this white noise,Indicate macro base station user receive the micro-base station interference signal in same sub-channel it With,Indicate the Signal to Interference plus Noise Ratio of macro base station user m at this time；
|Hn,l|2Indicate the channel gain between micro-base station n and micro-base station user l, | H0,l|2Indicate macro base station and micro-base station user l it Between channel gain, PnIndicate the transmission power of micro-base station n, P0Indicate the transmission power of macro base station, | Hi,l|2Indicate micro-base station i Channel gain between micro-base station user l, PiFor the transmission power of micro-base station, γlFor micro-base station user's Successful transmissions target value, | H0,m|2P0Indicate the available signal power that micro-base station user receives,Indicate that micro-base station is used The sum of interference signal that family receives and white Gaussian noise, | H0,l|2P0Indicate that micro-base station user receives the identical son of macro base station The interference signal of channel,Indicate that micro-base station user receives the interference signal of the micro-base station under same sub-channel,Indicate the Signal to Interference plus Noise Ratio of micro-base station user l at this time；
User utility x after S22c, macro base station and potential alliance's micro-base station estimation alliancei *(Sn,ΠΝ) and alliance total utility ν* (Sn,ΠΝ)；Alliance total utility ν after alliance*(Sn,ΠΝ) calculating formula is as follows:
The formula indicates alliance SnIn all users the sum of effectiveness, | Sn| it is the number of users of current alliance, Indicate in current alliance's subregion cooperate after macro base station user utility and micro-base station user utility sum；Wherein, after alliance User utility xi *(Sn,ΠΝ) macro base station user utility can be divided intoWith micro-base station user utilityRespectively It is calculated as follows:
In formula,WithThe macro base station user's of cooperation is reachable under respectively current alliance's subregion The reachable information rate of information rate and micro-base station user,WithThe mean time of macro base station user respectively under cooperation Prolong the average delay with micro-base station user, δ ∈ (0,1) is that transmission capacity-time delay weighs coefficient, i.e. appearance of the system to propagation delay time Degree of bearing, wherein the reachable information rate of macro base station user under cooperationIt is calculated as follows:
Formula tabular form macro base station user m after alliance by alliance outside micro-base station n, n ∈ Nk\SnInterference when reachable information Rate, B indicate the bandwidth of the affiliated subchannel of macro base station user m, log be 10 be bottom logarithm operation, | H0,m|2Indicate macro base The channel gain stood between (subscript 0 indicates macro base station) and macro base station user m, P0Indicate transmitting of the macro base station for its user m Power, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For White Gaussian noise (AWGN) mean-square value, | H0,m|2P0For the available signal power that macro base station user receives,I.e. macro base station user receives the sum of interference signal and white Gaussian noise of the micro-base station outside alliance,Indicate the Signal to Interference plus Noise Ratio under macro base station user cooperation；
The reachable information rate of micro-base station user l under cooperationIt is calculated as follows:
The formula indicates micro-base station user after alliance by micro-base station n ∈ N outside alliancek\SnInterference when reachable information rate, Wherein, BlIndicate the bandwidth of the affiliated subchannel of micro-base station user l, | Hn,l|2Indicate the letter between micro-base station n and micro-base station user l Road gain, PnIndicate the transmission power of micro-base station n, | Hi,l|2Indicate the channel gain between micro-base station i and micro-base station user l, PiFor The transmission power of micro-base station, | Hn,l|2PnIndicate the available signal power that micro-base station user receives,I.e. micro- base The user that stands receives the sum of interference signal and white Gaussian noise of the micro-base station outside alliance,For micro-base station Signal to Interference plus Noise Ratio of the user under cooperation；
WithThe average delay of the average delay of macro base station user and micro-base station user, calculating formula respectively under cooperation It is as follows:
Wherein, the maximum practical communication load for retransmitting macro base station user when number is D is considered under cooperationWith micro-base station user Practical communication loadRespectively
λmAnd λl(bits/s) it respectively indicates by the macro base station-Hong Ji for determining grouping when M/D/1 queuing model by poisson arrival process It standing the average arrival rate and micro-base station-micro-base station user average arrival rate of user, d is current re-transmission number,With The probability for respectively indicating the probability of macro base station user transmission success and micro-base station user's transmission success under cooperation, that is, work as noise It is higher than set respective objects value γ than (SINR)m, γ l probability, calculating formula difference it is as follows:
Wherein, when Pr { SINR >=γ } indicates that Signal to Interference plus Noise Ratio is greater than certain target value gamma, the probability distribution of data Successful transmissions, | H0,m|2Indicate the channel gain between macro base station and macro base station user m, P0Indicate macro base station for its user m transmission power, | Hn,m|2Indicate the channel gain between micro-base station and macro base station user m, PnIndicate the transmission power of micro-base station n, σ2For white Gaussian Noise (AWGN) mean-square value, γmFor macro user's Successful transmissions target value, | H0,m|2P0The useful letter received for macro base station user Number power,Indicate that macro base station user receives whole interference letters of micro-base station in same sub-channel outside alliance Number,Indicate the sum of interference signal and the white Gaussian noise that macro base station user receives,Indicate the Signal to Interference plus Noise Ratio under macro base station user m cooperation；
|Hn,l|2Indicate the channel gain between micro-base station n and micro-base station user l, PnIndicate the transmission power of micro-base station n, | Hi,l|2 Indicate the channel gain between micro-base station i and micro-base station user l, PiFor the transmission power of micro-base station, γlFor micro-base station user success Transmission objectives value, | Hn,l|2P indicates the available signal power that micro-base station user receives,Indicate micro-base station user Outside the alliance received in same sub-channel micro-base station interference signal,Indicate that micro-base station user receives Interference signal and the sum of white Gaussian noise,It indicates that the letter under micro-base station user l cooperation is dry to make an uproar Than；
S22d, user utility x after macro base station and micro-base station cooperationi *(Sn,ΠN) and alliance total utility ν*(Sn,ΠN) not small Before cooperating when effectiveness, i.e. xi *(Sn,ΠN)>xi(Sn,ΠN) and ν*(Sn,ΠN) > ν (Sn,ΠN), then between macro base station and micro-base station Formal formation alliance is fed back by wire channel；Otherwise, it is new to judge whether macro base station and next potential cooperation micro-base station form Alliance；
S22e, macro base station sequentially sequentially execute S22a, S22b, S22c, S22d with the micro-base station in all interference lists, until institute There are Stable coalitions in multiplexing subchannel to be formed；
Frequency spectrum leasing and the method for business unloading in alliance described in step S3 are as follows:
S31, the Stable coalitions subregion based on formation solve optimal frequency spectrum by convex optimization tool and rent according to frequency spectrum leasing model It rents the optimal solution of coefficient；
S32, macro base station lease to corresponding micro-base station channel spectrum resource according to resulting optimal frequency spectrum leasing coefficient is calculated, simultaneously The macro base station user that notice occupies this channel disconnects former link and establishes new downlink transfer with corresponding micro-base station and links, corresponding micro- The frequency spectrum resource of relaying window coefficient ratio in gained frequency spectrum resource is distributed into macro base station user and is used for business transmission in base station.
2. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network according to claim 1, It is characterized in that, in initialization network resource status described in step S1, micro-base station is multiplexed the partial frequency spectrum resource of macro base station, and macro base The descending power being kept fixed with micro-base station of standing transmits signal.
3. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network according to claim 2, It is characterized in that, the descending power of the fixation is maximum descending power.
4. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network according to claim 1, It is characterized in that, alliance's total utility that micro-base station is detached from new alliance's subregion of current coalition formation in any subchannel is less than current steady Determine alliance's total utility of alliance's subregion.
5. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network according to claim 1, It is characterized in that, the method for the optimal solution of the optimal frequency spectrum leasing coefficient of solution described in step S31 are as follows:
The sub-channel spectra that micro-base station is multiplexed is normalized to a unit length by frequency spectrum leasing model, while each unit being drawn It is divided into three parts:
First part's unit length is 1- α, and macro base station transmits a signal to affiliated macro base station user；
Second part unit length is α β, and micro-base station gives the macro base station user being unloaded as relay transmission signal；
Part III unit length is α (1- β), and micro-base station transmits a signal to affiliated micro-base station user；
Wherein, α is that frequency spectrum leasing coefficient indicates that macro base station leases to the channel spectrum resource of micro-base station, and β is relay transmission window Coefficient indicates the relaying frequency spectrum resource for the macro base station user distribution that micro-base station is unloading；
The utility function under this model is proposed according to frequency spectrum leasing model, and is solved by convex optimization tool with frequency spectrum leasing coefficient α and relay transmission window coefficient β is the optimal solution of variable:
Above formula indicates to solve the maximum based on frequency spectrum leasing model in Stable coalitions subregion in 0 < α of satisfaction, the condition of β < 1 User utility xi'(S′n,Π′N) and maximum alliance total utility ν ' (S 'n,Π′N), S 'nFor the connection under current steady alliance subregion Alliance, Π 'NFor current steady alliance subregion；Wherein, user utility x 'i(S'n,Π'N) macro base station user utility x ' can be divided intom (Sn',Π'N) and micro-base station user utility xl' (S'n,Π'N), it is calculated as follows respectively:
With
δ ∈ (0,1) is that transmission capacity-time delay weighs coefficient, i.e., for system to the tolerance of propagation delay time, α and β are respectively that frequency spectrum is rented It rents coefficient and relay transmission window coefficient；Wherein, the reachable information rate μ ' of the macro base station user in optimization problemm(α,β,S'n, Π'N) and micro-base station user reachable information rate μ 'l(α,β,S'n,Π'N) calculating formula is as follows:
Indicate the reachable information rate of macro base station user and micro-base station user under frequency spectrum leasing model under current alliance's subregion,WithMacro base station user under current alliance's subregion under cooperation respectively up to information rate and Micro-base station user is up to information rate, and calculating formula is as shown in S22c.
6. the shared business discharging method of resourceoriented in a kind of intensive isomery cellular network according to claim 1, It is characterized in that, processing method when change of network environment is considered described in step S4 are as follows: when change of network environment, be repeated cyclically Step S2's forms frequency spectrum leasing and business unloading in the alliance of Stable coalitions subregion and step S3 towards multichannel；Work as network rings When border does not change, it is repeated cyclically the initialization network resource status of step S1, S2 towards multichannel forms Stable coalitions Frequency spectrum leasing and business unloading in the alliance of subregion and step S3.
CN201510953536.XA 2015-12-17 2015-12-17 The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network Active CN105491510B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510953536.XA CN105491510B (en) 2015-12-17 2015-12-17 The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510953536.XA CN105491510B (en) 2015-12-17 2015-12-17 The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network

Publications (2)

Publication Number Publication Date
CN105491510A CN105491510A (en) 2016-04-13
CN105491510B true CN105491510B (en) 2019-02-26

Family

ID=55678159

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510953536.XA Active CN105491510B (en) 2015-12-17 2015-12-17 The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network

Country Status (1)

Country Link
CN (1) CN105491510B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106792893A (en) * 2016-11-29 2017-05-31 西南交通大学 Isomery cellular network cut-in method based on maximal received power
CN107666676B (en) * 2017-09-14 2021-01-01 浙江工业大学 Online control method for maximizing system throughput of energy-collecting wireless relay network
CN110087245A (en) * 2018-01-26 2019-08-02 华北电力大学 Heterogeneous network base station deployment and frequency spectrum pricing scheme based on optimal utility
CN108494632B (en) * 2018-04-04 2020-12-01 武汉大学 Mobile data traffic unloading method based on reinforcement learning
CN109189780A (en) * 2018-07-24 2019-01-11 湖南城市学院 The storage of ideology and politics material and inquiry management system and method based on big data
CN111182495B (en) * 2019-12-25 2021-06-18 大连理工大学 5G internet of vehicles partial calculation unloading method
CN114401037B (en) * 2022-03-24 2022-06-17 武汉大学 Unmanned aerial vehicle communication network flow unloading method and system based on alliance formed game

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103391553A (en) * 2013-06-27 2013-11-13 电子科技大学 Flow unloading method based on reference signal received power (RSRP)
CN105007629A (en) * 2015-03-16 2015-10-28 北京交通大学 Radio resource distribution method of ultra-dense small cell network system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2807852B8 (en) * 2012-01-24 2019-08-14 NEC Corporation Radio communication system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103391553A (en) * 2013-06-27 2013-11-13 电子科技大学 Flow unloading method based on reference signal received power (RSRP)
CN105007629A (en) * 2015-03-16 2015-10-28 北京交通大学 Radio resource distribution method of ultra-dense small cell network system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Joint cell selection and subchannel allocation for energy efficiency in small cell networks: A coalitional game;Khajonpong Akkarajitsakul.et al;《IEEE Xplore Digital Library》;20151017;正文第1-6页
认知融合网络的关键技术;杨春刚，等;《通信学报》;20140630;正文第5页

Also Published As

Publication number Publication date
CN105491510A (en) 2016-04-13

Similar Documents

Publication Publication Date Title
CN105491510B (en) The shared business discharging method of resourceoriented in a kind of intensive isomery cellular network
Huang et al. Interference mitigation for femtocell networks via adaptive frequency reuse
CN103200577B (en) The group management method of TDD cross jamming and base station
CN109548144A (en) A kind of transmission method and device of paging information
US20150163008A1 (en) Method and apparatus for cell discovery
Deruyck et al. Reducing the power consumption in LTE-Advanced wireless access networks by a capacity based deployment tool
CN105744560B (en) The method and device that a kind of determining serving BS, measurement report
CN104854895B (en) Method and apparatus for the bumpless transfer operation in wireless communication system
CN105517167B (en) A kind of method for managing resource towards interference alignment in intensive isomery cellular network
Hou et al. Self-organized resource allocation in LTE systems with weighted proportional fairness
CN105471488A (en) Multi-cell beam forming method and multi-cell beam forming device
Videv et al. Resource allocation for energy efficient cellular systems
US20170048820A1 (en) Mbsfn configuration method and device
CN102118754B (en) Partitioning method of dynamic cooperation sets in CoMP technology
CN103227689B (en) The processing method and processing device of power parameter
Strinati et al. Green communications: an emerging challenge for mobile broadband communication networks
Elshennawy Modified Proportional Fair Scheduling Algorithm for Heterogeneous LTE-A Networks.
CN103260247B (en) Dispatching method, via node and base station
CN102932308B (en) Mixed service Scene dispatch method and dispatching patcher in a kind of OFDM relay system
CN103199973B (en) Multipoint cooperative dispatching method and device
CN106413110B (en) A kind of dispatching method, device and network node
CN103281706A (en) Two-double dynamic CoMP communication cooperation cluster partition method
Zhang et al. Fairness guaranteed novel eICIC technology for capacity enhancement in multi-tier heterogeneous cellular networks
CN103327590A (en) Method and device for determining transmitted power
Wang et al. A load-aware small-cell management mechanism to support green communications in 5G networks

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant