CN105517167A - Interference alignment oriented resource management method in dense heterogeneous cellular network - Google Patents

Abstract

The invention discloses an interference alignment oriented resource management method in a dense heterogeneous cellular network. The method comprises the steps of initializing a network state; forming stable union partitions; performing inter-union resource management; performing intra-union interference alignment; considering network environment changes; and periodically repeating the steps. For the problems of high iterative calculation frequency and relatively low convergence speed of an existing resource management technology for the dense heterogeneous cellular network, the invention provides the interference alignment oriented resource management method in the dense heterogeneous cellular network. According to the method, by taking the user satisfaction as a utility function, a union game based interference alignment cluster forming method and an inter-union resource management method are proposed, so that efficient interference oriented resource distribution is realized; and spectrum resources of the dense heterogeneous cellular network can be flexibly managed to utilize and solve the problem of interference.

Description

Towards the method for managing resource of interference alignment in a kind of intensive isomery cellular network

Technical field

The invention belongs to wireless communication technology field, particularly relate to the method for managing resource towards interference alignment in a kind of intensive isomery cellular network.

Background technology

The fast development of mobile communication, has driven the explosive growth of mobile Internet and high broadband data service, and future wireless network will face the problems such as serious network capacity deficiency and frequency spectrum resource scarcity.Therefore, 5th third-generation mobile communication technology (The5thGenerationMobileCommunicationSystem, 5G) intensive little base station (SmallCell) network design is carried out the degree of depth and covers to build three-dimensional laminated network one of the key technology being used as promoting network capacity, it passes through in family's indoor environment, lower powered little base station is disposed in hot spot regions etc., and (the present invention makes a general reference medium and small base station micro-base station (microcell), Home eNodeB (femtocell), the low power nodes such as via node (relay)) effectively to promote network capacity, expanding coverage area of network, reduce the cost of network operation and maintenance simultaneously.But, the factors such as limited frequency spectrum resource and highdensity deployment, result in intensive isomery cellular network and occur that serious interference problem is urgently to be resolved hurrily, and seriously hinder the lifting of network capacity and service quality (QualityofService, QoS).

Interference alignment (InterferenceAlignment, IA), as a kind of very promising interference management techniques utilizing interference exploitation obstacle gain, extensive use in wireless cognition network and isomery cellular network at present.But any technology in actual deployment often along with limiting factors such as harmony, complexity and information exchanges, the enforcement etc. that size limit interference alignment techniques of the antenna amount of such as sending and receiving end and alliance.Therefore, under intensive isomery cellular network, based on Game with Coalitions thought in conjunction with in current cellular networks as multiple antenna transmission technique (Multiple-Input-Multiple-output, MIMO), orthogonal frequency division multiplexi (OrthogonalFrequencyDivisionMultiplexing, the advanced technology such as OFDM), study which node cooperation and form the efficient allocation that alliance realizes resource, and then combination interference alignment eliminates interference to greatest extent.Current just elimination interference aspect, comprises following technology: substantially based on the interference alignment of game theoretic Resourse Distribute, multi-antenna communication, the cooperation transmission etc. of multi-user.

Patent application document " distributed cognition wireless network is based on the frequency spectrum distributing method of Game with Coalitions " (the publication number CN103260166A of Xian Electronics Science and Technology University, application number 201310120637.X, applying date 2013.03.25) in disclose the frequency spectrum distributing method of a kind of distributed cognition wireless network based on Game with Coalitions.The problem that the method is used theory of games to solve prior art to distribute idle frequency range in the thought that cognition wireless network can not make full use of synthesization and overall local, improves the fairness of efficiency of frequency employment and Resourse Distribute effectively.The method weak point be its cannot solve high density heterogeneous network under spectrum allocation may problem.

Patent application document " a kind of interference alignment schemes of the cellular network based on D2D communication " (the publication number CN104717035A of Nanjing Univ. of Posts and Telecommunications, application number 201510090159.1, applying date 2015.02.27) in disclose a kind of interference alignment schemes of the cellular network based on D2D communication.The method utilization interference alignment techniques solution multiple antennas D2D communicates under the multiplexing cellular downlink resource situation of D2D communication link in cellular networks, the interference problem between cellular basestation and D2D terminal and between D2D terminal.The method weak point is: under high density network scene, and direct inverse iteration operation times is more, and convergence rate is comparatively slow, and the availability of frequency spectrum is lower simultaneously.

Patent application document " the multi-user Cooperation frequency spectrum sensing method based on Game with Coalitions " (the publication number CN104780007A of Nanjing Univ. of Posts and Telecommunications, application number 201510159725.X, applying date 2015.04.03) in a kind of multi-user Cooperation frequency spectrum sensing method based on Game with Coalitions is disclosed.The method uses Game with Coalitions theory analysis multi-user Cooperation perception problems, improves frequency spectrum perception inspection probability, reduces the interference to primary user simultaneously.The deficiency of the method is: can not realize dynamic spectrum resource management flexibly, cannot solve the problems such as the frequency spectrum resource scarcity in isomery cellular network.

Summary of the invention

The present invention is directed to above-mentioned the deficiencies in the prior art, provide the method for managing resource towards interference alignment in a kind of intensive isomery cellular network, this method solve the problem of dense deployment isomery cellular network intermediate frequency spectrum scarcity of resources and severe jamming, and achieve efficient Resourse Distribute towards interference alignment, effectively improve network capacity and spectrum efficiency.

For solving problems of the prior art, the concrete technical scheme of employing is:

Towards a method for managing resource for interference alignment in intensive isomery cellular network, it comprises the steps:

Step 1, network status initialization

The frequency spectrum resource of the complete multiplexing macro base station in the little base station of initialization dense deployment, and macro base station and little base station all adopt corresponding maximum downstream power delivery data.

Step 2, formation Stable coalitions subregion

All little base stations based on signal strength signal intensity instruction (RSSI) broadcast pilot received, and find the little base station of near-by interference, and then estimate corresponding signal to noise ratio (SINR) and form interference list accordingly.Little base station calculates cooperation cost to find the little base station of potential cooperation from interference list top, and judges whether the little base station of current investigation and the little base station of potential cooperation can form new alliance.Periodically travel through all little base stations to forming Stable coalitions subregion, alliance's total utility that namely arbitrary little base station departs from the new alliance subregion of former coalition formation is all less than alliance's total utility of current steady alliance subregion.

Resource management between step 3, alliance

Based on the Stable coalitions subregion of step 2, according to macro base station utility function and little base station total utility function under frequency spectrum leasing scheme and this model, calculate optimum slot length coefficient and little base station transmitting power in this alliance and also distribute the resource of corresponding time slot length accordingly to little base station in this alliance, in alliance, little base station transmits by the rear through-put power of optimization simultaneously.The present invention disturbs to evade between alliance by distributing orthogonal resource between alliance.The present invention is for quadrature spectrum rental scheme, and the present invention is simultaneously applicable to the resource management of other dimensions such as orthogonal sub-carriers.

Interference alignment in step 4, alliance

Construct between the little base station user in all alliances and utilize ZF AF panel matrix implement interference alignment and then eliminate interference in alliance.

Step 5, consideration change of network environment, as the mobility of user and the deployment of new base station, periodically repeat above step, realizes disturbing alignment in resource management and alliance between the alliance under Stable coalitions subregion.Namely when change of network environment, periodically repeat to form Stable coalitions subregion successively, realize Stable coalitions subregion under alliance between interference is alignd in resource management and alliance step.

Preferred scheme, the method step of the formation Stable coalitions subregion described in step 2 is:

(1) interference list, is built

1a), all little base station i ∈ K _tbroadcast pilot, and collect adjacent little base station j ∈ K by little base station owning user _trSSI, wherein K _tfor little collection of base stations;

1b), based on the RSSI information of collecting, little base station i finds the interference of contiguous little base station j, estimates corresponding SINR, and forms the interference list according to the descending sequence of interference accordingly.

(2), alliance is formed

2a), little base station i calculates the cooperation cost with corresponding little base station j from interference list top represent that little base station i is transmitted into potential cooperation little base station j place alliance S little base station user farthest through-put power (v ₀for the threshold value of minimum signal to noise ratio, σ ²for white Gaussian noise (AWGN) average evenly can be added, for little base station i is to little base station user channel gain), and cooperation cost meet

$\stackrel{\‾}{P_i}\left(\stackrel{\‾}{i}\right)\≤P_{max}$

Wherein, represent little base station maximum transmission power, namely the little base station user in alliance edge receive little base station signal signal to noise ratio higher than threshold value time, little base station j ∈ S is potential cooperation object;

2b)、

Calculate the little base station effectiveness x before alliance _i(S _i, S _j) and the alliance total utility u (S of alliance's subregion _i, S _j),

$x_i\left(S_i,S_j\right)={\mathrm{\ω}}_i{g}_i\left(R_i\right),R_i=\underset{k\∈l_i}{\Σ}B\log \left(1+\frac{{\left|H_{i,k}\right|}^2{P}_i}{\underset{j\∈K_T,j\≠S_i}{\Σ}{\left|H_{j,k}\right|}^2{P}_j+{\mathrm{\σ}}^2}\right)$

With $u(S_u,S_j)=\underset{i\∈S_i\∪S_j}{\Σ}{x}_i(S_i,S_j)$

In formula, S _j, S _ibe respectively little base station j, i place alliance, ω _ifor little base station weight coefficient, g _i(R _i)=R _ifor little base station user extent function, represent that little base station user is to current achievable rate R _isatisfaction; B is channel width, | H _i,k| ²represent little base station i and its owning user k ∈ l _i, (l _ifor little base station service-user sum) between channel gain, P _ifor the transmitting power of little base station i, | H _j,k| ²for all the other little base station j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of little base station j, σ ²for white Gaussian noise (AWGN) average evenly can be added, | H _i,k| ²p _irepresent the useful signal that little base station user receives, represent the interference signal except the little base station of former alliance that little base station user receives and noise sum, represent the Signal to Interference plus Noise Ratio that little base station user is current;

2c), the little base station effectiveness x after alliance is estimated _i(S _i{ i}, S _j∪ i}) and the alliance total utility u of new alliance subregion ^*(S _i{ i}, S _j∪ i}),

${x_i}^{*}\left(S_i\backslash \left\{i\right\},S_j\∪\left\{i\right\}\right)={\mathrm{\ω}}_i{g}_i\left({R_i}^{*}\right),{R_i}^{*}=\underset{k\∈l_i}{\Σ}B\log \left(1+\frac{{\left|H_{i,k}\right|}^2{P}_i}{\underset{j\∈K_T,j\≠S_j}{\Σ}{\left|H_{j,k}\right|}^2{P}_j+{\mathrm{\σ}}^2}\right)$

With $u^{*}(S_j\∪\{i\},S_i\backslash \{i\left\}\right)=\underset{i\∈S_i\∪S_j}{\Σ}{x_i}^{*}(S_j\∪\{i\},S_i\backslash \{i\left\}\right);$

In formula, S _i, S _jbe respectively little base station i, j place alliance, S _i{ i} and S _j{ i} represents that little base station i departs from former alliance S to ∪ respectively _ito coalize S with little base station i _j, ω _ifor little base station weight coefficient, for little base station user extent function, represent that little base station user is to achievable rate after alliance satisfaction; B is channel width, | H _i,k| ²represent little base station i and its owning user k ∈ l _i, (l _ifor little base station service-user sum) between channel gain, P _ifor the transmitting power of little base station i, | H _j,k| ²for all the other little base station j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of little base station j, σ ²for white Gaussian noise (AWGN) average evenly can be added, | H _i,k| ²p _irepresent the useful signal that little base station user receives, represent the interference signal outside the new alliance that little base station user receives and noise sum, represent the Signal to Interference plus Noise Ratio after little base station user alliance;

2d), when little base station effectiveness and alliance's total utility all increase and little base station number meets interference alignment feasibility condition, namely and u ^*(S _i{ i}, S _j∪ i})>=u (S _i, S _j) and | S _j| < N _t+ N _r-1 (N _tfor little base station transmit antennas, N _rlittle base station user reception antenna quantity), little base station i departs from former alliance and adds this alliance, otherwise little base station i finds next potential cooperation object, to traveling through whole interference list;

2e), all little base stations all perform step 2b), 2c), 2d), until form Stable coalitions subregion.

Preferred scheme further, the method for resource management between the alliance described in step 3, according to macro base station utility function x under frequency spectrum leasing scheme and this model _mwith little base station total utility function under time slot rental scheme, each subcarrier comprises a macro base station user and K little base station user, each time slot be normalized to a unit length simultaneously and be divided into three phases, and by parameter a, b and 0≤a≤1,0≤b≤1 is divided into three phases, wherein a represents that the transmission duration ratio that macro base station is total, b represent that only macro base station transmission data always transmit duration proportion at macro base station:

Stage one unit length is ab, and macro base station gives affiliated macro base station user with high rate data transmission packet;

Stage two unit length is a (1-b), macro base station and little base station simultaneous transmission of signals, and between macro base station user with little base station user, carries out interference align.Namely macro base station is after the high speed data transfers through the stage one, has motivation with lower rate transmissions packet under the prerequisite of service quality guaranteeing macro base station user, and leases this section of frequency spectrum surplus resources to little base station, and obtains income from this little base station;

Stage three unit length is (1-a), and little base-station transmission data give affiliated little base station user, and between little base station user, carry out interference alignment.Namely macro base station stops transmission of data packets and leases this frequency spectrum resource to little base station;

According to resource allocator model, obtain the macro base station utility function u under this model _mwith the total utility function u of little base station:

$u_m={\mathrm{\&omega;}}_0{f}_0\left(R_0\right)+\underset{i=1}{\overset{K}{\mathrm{\&Sigma;}}}{c}_0{p}_i$ With $u=\underset{i=1}{\overset{K_T}{\mathrm{\&Sigma;}}}{u}_i,u_i={\mathrm{\&omega;}}_i{g}_i\left(R_i\right)-c_0{p}_i$

Macro base station effectiveness u _mbe made up of the satisfaction of achievable rate and income two parts, wherein f ₀(R ₀)=ln (R ₀) be the extent function of macro base station user, ln (R ₀) represent R ₀natural logrithm computing, f ₀(R ₀) represent that macro base station user is to the extent function of current achievable rate, ω ₀for macro base station weight coefficient, $R_0=a(1-b)R_0^I+(1-a)R_0^{II}$ The total achievable rate of macro base station, $R_0^I=d_I{\log }_2\left({\mathrm{\&gamma;}}_0\right)$ It is the macro base station achievable rate of frequency spectrum leasing conceptual level one; d _i=N is the macro base station user degree of freedom of frequency spectrum leasing conceptual level one; the macro base station achievable rate of frequency spectrum leasing conceptual level two, it is the macro base station user degree of freedom of frequency spectrum leasing conceptual level two; γ ₀the SINR of macro base station; C ₀for unit resource price, p _ifor little base station transmitting power, c ₀p _iexpression macro base station leases the income that this section of frequency spectrum resource obtains to little base station;

The total utility function of little base station is made up of the satisfaction of achievable rate and cost two parts, wherein $R_i=a(1-b)R_i^{II}+(1-a)R_i^{III}$ It is the total achievable rate in little base station; $R_i^{II}=d_{II}{\log }_2\left({\mathrm{\&gamma;}}_i\right)$ It is the little base station achievable rate of frequency spectrum leasing conceptual level two; it is the degree of freedom of frequency spectrum leasing conceptual level two little base station user; the little base station achievable rate of frequency spectrum leasing conceptual level three, it is the degree of freedom of frequency spectrum leasing conceptual level three little base station user; γ _ithe SINR of little base station; c ₀p _irepresent the cost that little base station is leased this section of frequency spectrum resource and paid;

By disappearing to utility function, unit and reverse derivation draw optimum time slot ratio parameter based on alliance's size and optimal transmission power, meet following formula:

Optimum time slot ratio parameter is:

Optimal transmission power is:

$P_i^{*}=\&lsqb;w_i{a}^{*}(1-b^{*})d_{II}+w_i(1-a^{*})d_{III}\&rsqb;/C_0,i\&Element;N.$

A in formula ^*, b ^*optimum time slot ratio parameter when little base station number is K in alliance, for corresponding optimum little base station's transmission power, and draw parameter a from formula ^*with base station number change little in alliance, namely distribute the resource of proper ratio to obtain maximum return according to the quantity of little base station; Parameter b ^*be always 0, namely macro base station is when keeping lower rate transmissions packet to lease this section of frequency spectrum resource to little base station simultaneously, and macro base station total energy obtains larger income.

By adopting above technical scheme, be compared with the prior art towards the method for managing resource of interference alignment in a kind of intensive isomery cellular network of the present invention, its technique effect is:

The first, the present invention is directed to prior art and can not solve the severe jamming problem existed in high density network, provide the efficient interference management method of a kind of combination interference alignment techniques, effectively eliminate the interference between little base station.

The second, the present invention is directed to direct inverse iteration operation times in prior art more, the problems such as convergence rate is slower, adopt based on Game with Coalitions theoretical, make little base station carry out game as participant and form stable alliance's subregion, the basis of alliance is carried out Resourse Distribute and interference alignment, solve direct inverse iteration operation times more, the problems such as convergence rate is slower.

Three, the present invention is from global system, can not solve the deficient and interference problem of frequency spectrum under high density cellular network for prior art, adopts interference alignment in Resourse Distribute and alliance between alliance, effectively improves the availability of frequency spectrum and eliminate and disturb.

Accompanying drawing explanation

Fig. 1 be the embodiment of the present invention based under isomery household base station network scene towards the resource management schematic diagram of interference alignment;

Fig. 2 is the method for managing resource flow chart disturbing alignment in intensive isomery cellular network provided by the invention;

Fig. 3 is that Stable coalitions subregion provided by the invention forms method flow diagram;

Fig. 4 is frequency spectrum leasing scheme schematic diagram provided by the invention;

Fig. 5 is the embodiment of the present invention along with Home eNodeB total utility performance simulation figure during Home eNodeB number of variations;

Fig. 6 is the embodiment of the present invention with macro base station effectiveness performance analogous diagram during Home eNodeB number of variations.

Embodiment

Clearly understand to make object of the present invention, technical scheme and advantage, in conjunction with the accompanying drawings and embodiments the present invention is described in further detail, should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

Below in conjunction with accompanying drawing and specific embodiment, application principle of the present invention is further described.

The embodiment of the present invention is mainly described based on isomery household base station network (FemtocellNetworks), aims to provide the method for managing resource towards interference alignment in a kind of intensive isomery cellular network.

The embodiment of the present invention shown in Fig. 1 based under isomery household base station network towards the resource management schematic diagram of interference alignment, it should be noted that the present invention is not limited to home base station network in current schematic diagram and Home eNodeB (FBS) quantity, with the increase of Home eNodeB quantity, the alliance's quantity in diagram also can increase thereupon.

Be the method for managing resource flow chart disturbing alignment in the intensive isomery cellular network of the embodiment of the present invention shown in Fig. 2, specifically comprise the steps:

Step 1, network status initialization

The frequency spectrum resource of the complete multiplexing macro base station of initialization dense deployment Home eNodeB, and macro base station and Home eNodeB all adopt corresponding maximum downstream power delivery data.

Step 2, formation Stable coalitions subregion

All Home eNodeB based on signal strength signal intensity instruction (RSSI) broadcast pilot received, and find near-by interference Home eNodeB, and then estimate corresponding signal to noise ratio (SINR) and form interference list accordingly.Home eNodeB calculates cooperation cost to find potential cooperation Home eNodeB from interference list top, and judges whether the Home eNodeB of current investigation and potential cooperation Home eNodeB can form new alliance.Periodically travel through all Home eNodeB to forming Stable coalitions subregion, alliance's total utility that namely arbitrary Home eNodeB departs from the new alliance subregion of former coalition formation is all less than alliance's total utility of current steady alliance subregion.

Resource management between step 3, alliance

Based on the Stable coalitions subregion of step 2, according to macro base station utility function and Home eNodeB total utility function under the frequency spectrum leasing scheme shown in Fig. 4 and this model, calculate optimum slot length coefficient and Home eNodeB transmitting power in this alliance and also distribute the resource of corresponding time slot length accordingly to Home eNodeB in this alliance, alliance Nei Jia base station transmits by the rear through-put power of optimization simultaneously.The present invention disturbs to evade between alliance by distributing orthogonal resource between alliance.The present invention is for quadrature spectrum rental scheme, and the present invention is simultaneously applicable to the resource management of other dimensions such as orthogonal sub-carriers.

Interference alignment in step 4, alliance

Construct between the femtocell user (FUE) in all alliances and utilize ZF AF panel matrix implement interference alignment and then eliminate interference in alliance.

Step 5, consideration change of network environment, as the mobility of user and the deployment of new base station, periodically repeat above step, realizes disturbing alignment in resource management and alliance between the alliance under Stable coalitions subregion.

As shown in Figure 3, specifically comprise the steps: towards the resource management of interference alignment in the intensive isomery cellular network of the embodiment of the present invention

(1) interference list, is built

1a), all Home eNodeB i ∈ K _tbroadcast pilot, and collect neighboring home base station j ∈ K by Home eNodeB owning user _trSSI, wherein K _tfor little collection of base stations;

1b), based on the RSSI information of collecting, little base station i finds the interference of contiguous little base station j, estimates corresponding SINR, and forms the interference list according to the descending sequence of interference accordingly.

(2), alliance is formed

2a), Home eNodeB i calculates the cooperation cost with corresponding Home eNodeB j from interference list top represent that Home eNodeB i is transmitted into potential cooperation Home eNodeB j place alliance S femtocell user farthest through-put power, wherein v ₀for the threshold value of minimum signal to noise ratio, σ ²for white Gaussian noise (AWGN) average evenly can be added, for Home eNodeB i is to femtocell user channel gain; And cooperation cost meets

$\stackrel{\&OverBar;}{P_i}\left(\stackrel{\&OverBar;}{i}\right)\&le;P_{max}$

Wherein P _ihome eNodeB i transmitting power, P _maxrepresent Home eNodeB maximum transmission power, when namely the signal to noise ratio of alliance edge femtocell user reception Home eNodeB signal is higher than threshold value, Home eNodeB j ∈ S is potential cooperation object;

2b), the Home eNodeB effectiveness x before alliance is calculated _i(S _i, S _j) and the alliance total utility u (S of alliance's subregion _i, S _j),

$x_i\left(S_i,S_j\right)={\mathrm{\&omega;}}_i{g}_i\left(R_i\right),R_i=\underset{k\&Element;l_i}{\&Sigma;}B\log \left(1+\frac{{\left|H_{i,k}\right|}^2{P}_i}{\underset{j\&Element;K_T,j\&NotEqual;S_i}{\&Sigma;}{\left|H_{j,k}\right|}^2{P}_j+{\mathrm{\&sigma;}}^2}\right)$

With $u(S_u,S_j)=\underset{i\&Element;S_i\&cup;S_j}{\&Sigma;}{x}_i(S_i,S_j)$

In formula, S _j, S _ibe respectively Home eNodeB j, i place alliance, ω _ifor Home eNodeB weight coefficient, g _i(R _i)=R _ifor femtocell user extent function, represent that femtocell user is to current achievable rate R _isatisfaction; B is channel width, | H _i,k| ²represent Home eNodeB i and its owning user k ∈ l _i, (l _ifor Home eNodeB service-user sum) between channel gain, P _ifor the transmitting power of Home eNodeB i, | H _j,k| ²for all the other Home eNodeB j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of Home eNodeB j, σ ²for

Evenly can add white Gaussian noise (AWGN) average, | H _i,k| ²p _irepresent the useful signal that femtocell user receives, represent the interference signal except former alliance Home eNodeB that femtocell user receives and noise sum, represent the Signal to Interference plus Noise Ratio that femtocell user is current;

2c), the Home eNodeB effectiveness x after alliance is estimated _i(S _i{ i}, S _j∪ i}) and the alliance total utility u of new alliance subregion ^*(S _i{ i}, S _j∪ i}),

${x_i}^{*}\left(S_i\backslash \left\{i\right\},S_j\&cup;\left\{i\right\}\right)={\mathrm{\&omega;}}_i{g}_i\left({R_i}^{*}\right),{R_i}^{*}=\underset{k\&Element;l_i}{\&Sigma;}B\log \left(1+\frac{{\left|H_{i,k}\right|}^2{P}_i}{\underset{j\&Element;K_T,j\&NotEqual;S_j}{\&Sigma;}{\left|H_{j,k}\right|}^2{P}_j+{\mathrm{\&sigma;}}^2}\right)$

With $u^{*}(S_j\&cup;\{i\},S_i\backslash \{i\left\}\right)=\underset{i\&Element;S_i\&cup;S_j}{\&Sigma;}{x_i}^{*}(S_j\&cup;\{i\},S_i\backslash \{i\left\}\right);$

In formula, S _i, S _jbe respectively Home eNodeB i, j place alliance, S _i{ i} and S _j{ i} represents that Home eNodeB i departs from former alliance S to ∪ respectively _ito coalize S with Home eNodeB i _j, ω _ifor Home eNodeB weight coefficient, for femtocell user extent function, represent that femtocell user is to achievable rate after alliance satisfaction; B is channel width, | H _i,k| ²represent Home eNodeB i and its owning user k ∈ l _i, (l _ifor Home eNodeB service-user sum) between channel gain, P _ifor the transmitting power of Home eNodeB i, | H _j,k| ²for all the other Home eNodeB j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of Home eNodeB j, σ ²

For white Gaussian noise (AWGN) average evenly can be added, | H _i,k| ²p _irepresent the useful signal that femtocell user receives, represent the interference signal outside the new alliance that femtocell user receives and noise sum, represent the Signal to Interference plus Noise Ratio after femtocell user alliance;

2d), when Home eNodeB effectiveness and alliance's total utility all increase and Home eNodeB quantity meets interference alignment feasibility condition, namely and u ^*(S _i{ i}, S _j∪ i})>=u (S _i, S _j) and | S _j| < N _t+ N _r-1 (N _tfor Home eNodeB transmitting antenna, N _rfemtocell user reception antenna quantity), Home eNodeB i departs from former alliance and adds this alliance, otherwise Home eNodeB i finds next potential cooperation object, to traveling through whole interference list;

2e), all Home eNodeB all perform step 2b), 2c), 2d), until form Stable coalitions subregion.Namely alliance's total utility of the former coalition formation of the disengaging of arbitrary Home eNodeB new alliance subregion is all less than alliance's total utility of current steady alliance subregion.

Frequency spectrum leasing scheme schematic diagram provided by the invention as shown in Figure 4, under frequency spectrum leasing scheme, each subcarrier comprises a macro base station user and K little base station user, each time slot is normalized to a unit length simultaneously, and by parameter a, b and 0≤a≤1,0≤b≤1 is divided into three phases, and wherein a represents that the transmission duration ratio that macro base station is total, b represent that only macro base station transmission data always transmit duration proportion at macro base station:

Stage one unit length is ab, and macro base station gives affiliated macro base station user with high rate data transmission packet;

Stage two unit length is a (1-b), macro base station and little base station simultaneous transmission of signals, and between macro base station user with little base station user, carries out interference align.Namely macro base station is after the high speed data transfers through the stage one, has motivation with lower rate transmissions packet under the prerequisite of service quality guaranteeing macro base station user, and leases this section of frequency spectrum surplus resources to little base station, and obtains income from this little base station;

Stage three unit length is (1-a), and little base-station transmission data give affiliated little base station user, and between little base station user, carry out interference alignment.Namely macro base station stops transmission of data packets and leases this frequency spectrum resource to little base station;

Effect of the present invention can be further illustrated by concrete emulation:

1. simulated conditions:

Research scene of the present invention is that under the hexagon macro base station of radius 1Km, multiple Home eNodeB is disposed, and setting macro base station maximum transmission power is 46dBm, and Home eNodeB maximum transmission power is 20dBm, macro base station and Home eNodeB transmitting terminal configuration N _t=4 reception antennas, each receiving terminal of macro base station user and femtocell user all configures N _r=4 antennas, macro base station disposes 500 available downlink sub-carrier altogether, each sub carries allocation 100KHz bandwidth.Simple for implementing, each Home eNodeB only serves one family base station user, the access module of Home eNodeB is for closing access module, namely only owning user is served, other base station user is not allowed to access, in down direction transmitting procedure, signal is mainly subject to by the impact of path loss, shadow fading, and partial simulation parameter can be considered constant in a time slot.The simulation parameter according to 3GPP standard formulation is listed in table 1.It should be noted that, embodiment, in simulation process, because base station and customer location are all stochastic generation, for eliminating the impact producing channel randomness thereupon, gets the mean value of Multi simulation running data.

Table 1 isomery cellular network simulated environment optimum configurations

2. emulate content and result

With Home eNodeB total utility performance simulation figure during Home eNodeB number change shown in Fig. 5.Namely traditional interference alignment scheme based on the interference alignment techniques scheme of Game with Coalitions theory, address only the interference problem in alliance, but the interference of failing to solve between alliance and the problem such as spectrum efficiency is low.Institute of the present invention extracting method according to alliance's size Resources allocation, effectively can improve Home eNodeB total utility, and along with the increase of Home eNodeB quantity, the effectiveness gain that Resourse Distribute and interference alignment produce is more obvious.

With macro base station effectiveness performance analogous diagram during Home eNodeB number of variations shown in Fig. 6, analyze from figure and draw, increase with Home eNodeB quantity, the macro base station effectiveness of this programme is further remarkable compared to tradition interference alignment scheme advantage, the resource management based on Game with Coalitions of the present invention's design and interference alignment schemes effectively can break through the impact that tradition interference alignment scheme is disturbed problem and the deficient problem of frequency spectrum in high density network, improve systematic function.

The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.

Claims (9)

1. in intensive isomery cellular network towards interference alignment a method for managing resource, it is characterized in that, it comprises the steps:

S1, network status initialization;

S2, formation Stable coalitions subregion;

Resource management between S3, alliance;

Interference alignment in S4, alliance;

S5, change according to network environment, periodically repeat to form Stable coalitions subregion, and to realize between the alliance under Stable coalitions subregion interference in resource management and alliance and align.

2. in a kind of intensive isomery cellular network according to claim 1 towards interference alignment method for managing resource, it is characterized in that, during network status initialization described in step S1, the frequency spectrum resource of the complete multiplexing macro base station in little base station of dense deployment, and macro base station and little base station all adopt corresponding maximum downstream power delivery data.

3. in a kind of intensive isomery cellular network according to claim 1 towards interference alignment method for managing resource, it is characterized in that, the method step of the formation Stable coalitions subregion described in step S2 is:

S21, structure interference list;

S22, form new alliance.

4. in a kind of intensive isomery cellular network according to claim 3 towards interference alignment method for managing resource, it is characterized in that, described in step S21 build interference list method be:

S21a, collection RSSI information

All little base station i ∈ K _tbroadcast pilot, and collect adjacent little base station j ∈ K by little base station owning user _trSSI, wherein K _tfor little collection of base stations;

S21b, formation interference list

Based on collected RSSI information, little base station i finds the interference of contiguous little base station j, estimates corresponding SINR, and is formed according to the descending tactic interference list of interference according to estimated SINR.

5. in a kind of intensive isomery cellular network according to claim 4 towards interference alignment method for managing resource, it is characterized in that, the method and the step that form new alliance described in step S22 are:

The cooperation cost with corresponding little base station j is calculated the top of the interference list that S22a, little base station i are formed from step S21 represent that little base station i is transmitted into potential cooperation little base station j place alliance S little base station user farthest through-put power (v ₀for the threshold value of minimum signal to noise ratio, σ ²for white Gaussian noise (AWGN) average evenly can be added, for little base station i is to little base station user channel gain), and cooperation cost meet

${\stackrel{\&OverBar;}{P}}_i\left(\stackrel{\&OverBar;}{i}\right)\&le;P_{max}$

Wherein, P _maxrepresent little base station maximum transmission power, namely the little base station user in alliance edge receive little base station signal signal to noise ratio higher than threshold value time, little base station j ∈ S is potential cooperation object;

Little base station effectiveness x before S22b, calculating alliance _i(S _i, S _j) and the alliance total utility u (S of alliance's subregion _i, S _j),

$x_i\left(S_i,S_j\right)={\mathrm{\&omega;}}_i{g}_i\left(R_i\right),R_i=\underset{k\&Element;l_i}{\&Sigma;}B\log \left(1+\frac{|H_{i,k}{|}^2{P}_i}{\underset{j\&Element;K_T,j\&NotEqual;S_i}{\&Sigma;}|H_{j,k}{|}^2{P}_j+{\mathrm{\&sigma;}}^2}\right)$

With $u(S_i,S_j)=\underset{i\&Element;S_i\&cup;S_j}{\&Sigma;}{x}_i(S_i,S_j)$

In formula, S _j, S _ibe respectively little base station j, i place alliance, ω _ifor little base station weight coefficient, g _i(R _i)=R _ifor little base station user extent function, represent that little base station user is to current achievable rate R _isatisfaction; B is channel width, | H _i,k| ²represent little base station i and its owning user k ∈ l _i, (l _ifor little base station service-user sum) between channel gain, P _ifor the transmitting power of little base station i, | H _j,k| ²for all the other little base station j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of little base station j, σ ²for white Gaussian noise (AWGN) average evenly can be added, | H _i,k| ²p _irepresent the useful signal that little base station user receives, represent the interference signal except the little base station of former alliance that little base station user receives and noise sum, represent the Signal to Interference plus Noise Ratio that little base station user is current;

Little base station effectiveness x after S22c, estimation alliance _i(S _i{ i}, S _j∪ i}) and the alliance total utility u of new alliance subregion ^*(S _i{ i}, S _j∪ i}),

${x_i}^{*}\left(S_i\backslash \left\{i\right\},S_j\&cup;\left\{i\right\}\right)={\mathrm{\&omega;}}_i{g}_i\left({R_i}^{*}\right),{R_i}^{*}=\underset{k\&Element;l_i}{\&Sigma;}B\log \left(1+\frac{|H_{i,k}{|}^2{P}_i}{\underset{j\&Element;K_T,j\&NotEqual;S_j}{\&Sigma;}|H_{j,k}{|}^2{P}_j+{\mathrm{\&sigma;}}^2}\right)$

With $u^{*}\left(S_j\&cup;\left\{i\right\},S_i\backslash \left\{i\right\}\right)=\underset{i\&Element;S_i\&cup;S_j}{\&Sigma;}{x_i}^{*}\left(S_j\&cup;\left\{i\right\},S_i\backslash \left\{i\right\}\right);$

In formula, S _i, S _jbe respectively little base station i, j place alliance, S _i{ i} and S _j{ i} represents that little base station i departs from former alliance S to ∪ respectively _ito coalize S with little base station i _j, ω _ifor little base station weight coefficient, for little base station user extent function, represent that little base station user is to achievable rate after alliance satisfaction; B is channel width, | H _i,k| ²represent little base station i and its owning user k ∈ l _i, (l _ifor little base station service-user sum) between channel gain, P _ifor the transmitting power of little base station i, | H _j,k| ²for all the other little base station j ∈ K _t, j ≠ S _iand the channel gain between user k, P _jfor the transmitting power of little base station j, σ ²for white Gaussian noise (AWGN) average evenly can be added, | H _i,k| ²p _irepresent the useful signal that little base station user receives, represent the interference signal outside the new alliance that little base station user receives and noise sum, represent the Signal to Interference plus Noise Ratio after little base station user alliance;

S22d, when little base station effectiveness and alliance's total utility all increase and little base station number meet interference alignment feasibility condition time, namely and u ^*(S _i{ i}, S _j∪ i})>=u (S _i, S _j) and | S _j| < N _t+ N _r-1 (N _tfor little base station transmit antennas, N _rlittle base station user reception antenna quantity), little base station i departs from former alliance and adds this alliance, otherwise little base station i finds next potential cooperation object, to traveling through whole interference list;

S22e, all little base stations all sequentially perform step S22b, S22c, S22d, until form Stable coalitions subregion.

6. in a kind of intensive isomery cellular network according to claim 5 towards interference alignment method for managing resource, it is characterized in that, alliance's total utility of the former coalition formation of the disengaging new alliance subregion of arbitrary little base station is all less than alliance's total utility of current steady alliance subregion.

7. in a kind of intensive isomery cellular network according to claim 6 towards interference alignment method for managing resource, it is characterized in that, the method for resource management between the alliance described in step S3 is:

Optimum slot length coefficient in Stable coalitions described in S31, calculation procedure S2 and optimal transmission power;

S32, distribute the resource of corresponding time slot length to the little base station in alliance according to calculated optimum slot length coefficient, the little base station simultaneously in alliance transmits by through-put power after optimization.

8. in a kind of intensive isomery cellular network according to claim 7 towards interference alignment method for managing resource, it is characterized in that, the method calculating optimum slot length coefficient and optimal transmission power described in step S31 is:

According to frequency spectrum leasing scheme, the macro base station utility function u under this scheme is proposed _mwith little base station total utility function under frequency spectrum leasing scheme, each subcarrier comprises a macro base station user and K little base station user, each time slot is normalized to a unit length simultaneously, and by parameter a, b and 0≤a≤1,0≤b≤1 is divided into three phases, wherein a represents that the transmission duration ratio that macro base station is total, b represent that only macro base station transmission data always transmit duration proportion at macro base station:

Stage one unit length is ab, and macro base station gives affiliated macro base station user with high rate data transmission packet;

Stage two unit length is a (1-b), macro base station and little base station simultaneous transmission of signals, and between macro base station user with little base station user, carries out interference align.Namely macro base station is after the high speed data transfers through the stage one, has motivation with lower rate transmissions packet under the prerequisite of service quality guaranteeing macro base station user, and leases this section of frequency spectrum surplus resources to little base station, and obtains income from this little base station;

Stage three unit length is (1-a), and little base-station transmission data give affiliated little base station user, and between little base station user, carry out interference alignment.Namely macro base station stops transmission of data packets and leases this frequency spectrum resource to little base station;

According to resource allocator model, obtain the macro base station utility function u under this model _mwith the total utility function u of little base station:

Macro base station effectiveness u _mbe made up of the satisfaction of achievable rate and income two parts, wherein f ₀(R ₀)=ln (R ₀) be the extent function of macro base station user, ln (R ₀) represent R ₀natural logrithm computing, f ₀(R ₀) represent that macro base station user is to the extent function of current achievable rate, ω ₀for macro base station weight coefficient, the total achievable rate of macro base station, it is the macro base station achievable rate of frequency spectrum leasing conceptual level one; d _i=N is the macro base station user degree of freedom of frequency spectrum leasing conceptual level one; the macro base station achievable rate of frequency spectrum leasing conceptual level two, it is the macro base station user degree of freedom of frequency spectrum leasing conceptual level two; γ ₀the SINR of macro base station; C ₀for unit resource price, p _ifor little base station transmitting power, c ₀p _iexpression macro base station leases the income that this section of frequency spectrum resource obtains to little base station;

The total utility function of little base station is made up of the satisfaction of achievable rate and cost two parts, wherein $R_i=a(1-b)R_i^{II}+(1-a)R_i^{III}$ It is the total achievable rate in little base station; $R_i^{II}=d_{II}{\log }_2\left({\mathrm{\&gamma;}}_i\right)$ It is the little base station achievable rate of frequency spectrum leasing conceptual level two; it is the degree of freedom of frequency spectrum leasing conceptual level two little base station user; the little base station achievable rate of frequency spectrum leasing conceptual level three, it is the degree of freedom of frequency spectrum leasing conceptual level three little base station user; γ _ithe SINR of little base station; c ₀p _irepresent the cost that little base station is leased this section of frequency spectrum resource and paid;

By disappearing to utility function, unit and reverse derivation draw optimum time slot ratio parameter based on alliance's size and optimal transmission power, meet following formula:

Optimum time slot ratio parameter is:

Optimal transmission power is:

$P_i^{*}=\&lsqb;w_i{a}^{*}(1-b^{*})d_{II}+w_i(1-a^{*})d_{III}\&rsqb;/C_0,i\&Element;N.$

A in formula ^*, b ^*optimum time slot ratio parameter when little base station number is K in alliance, for corresponding optimum little base station's transmission power, and draw parameter a from formula ^*with base station number change little in alliance, namely distribute the resource of proper ratio to obtain maximum return according to the quantity of little base station; Parameter b ^*be always 0, namely macro base station is when keeping lower rate transmissions packet to lease this section of frequency spectrum resource to little base station simultaneously, and macro base station total energy obtains larger income.

9. in a kind of intensive isomery cellular network according to claim 1 towards interference alignment method for managing resource, it is characterized in that, interference alignment in alliance described in step S4, refer to and to construct between the little base station user in all alliances and to utilize ZF AF panel matrix to implement interference alignment, and then eliminate in alliance and disturb.