CN104684051A - Method for allocating resources under non-full load of LTE (Long Term Evolution) and LTE-Advanced system - Google Patents

Abstract

The invention discloses a method for allocating resources under non-full load of an LTE (Long Term Evolution) and an LTE-Advanced system. The method comprises the following steps: S1, accounting SINR (Signal to Interference Noise Ratio) values of all users in a cell; S2, partitioning the cell RB into usable RB sets, and allocating the RB sets to all the users; S3, performing first-stage resource allocation on the users in the cell; S4, updating parameters; S5, performing second-stage resource allocation on the users in the cell; S6, calculating to obtain the average SINR value of each user according to the pre-allocated optimal RB of each user, and obtaining the instantaneous speed value and instantaneous power value of each user according to the average SINR value of each user; S7, performing priority sequencing on all the users, wherein the user with the maxima priority can obtain the pre-allocated optimal RB of the S5; and S8, repeatedly executing the steps S5-S7 until the useable RB set is blank. The method disclosed by the invention is capable of realizing favorable compromise between the energy efficiency and the frequency spectrum efficiency and achieving the purposes of energy conservation and emission reduction in communication service.

Description

The resource allocation methods of a kind of LTE and LTE-Advanced system under non-full load

Technical field

The present invention relates to wireless communication field, particularly relate to one and be applicable under the non-full loading condition of LTE and LTE-Advanced system, improve base station energy efficiency, reduce the resource allocation methods of base station energy resource consumption.

Background technology

In recent years, along with communications industry constantly progress, high-speed multimedia service technique development, there is the phenomenon of neat increasing in all kinds of smart mobile phone kind, quantity, number of users.Along with developing rapidly and extensive use of wireless communication technology, and communication terminal quantity increases in explosive, and relevant supporting base station number and number of users are also being on the increase, and cause serial environmental problem thus, causes each side to pay close attention to just gradually and payes attention to.As far back as 2008, the CO that the communications industry produces ₂discharge capacity account for global CO ₂2% of discharge capacity, expects the year two thousand twenty, and this numeral can rise to 3%, and as can be seen here, if the problem of environmental pollution that the communications industry causes can not get paying attention to, and adopt an effective measure or method containment, it will grow in intensity.

For the environmental protection problem of the communications industry, propose in the industry the concept of green communications, its core concept is: under the prerequisite guaranteed service quality, and at wireless communication networks end, reduces base station transmitting power; At user side, terminal (comprise mobile phone, carry out the equipment such as the notebook computer of wireless data transceiving) is by using DT(Discontinuous Transmission, discontinuous transmission) and DRX(Discontinuous Reception, discontinuous reception) technology, to reduce final energy consumption, extending battery life.

About Resourse Distribute, wherein a kind of thought exchanges energy efficiency for spectrum efficiency, sacrifice bandwidth to reduce the consumption of energy, namely the compromise effect between energy efficiency and spectrum efficiency is obtained, how to make this kind of compromise consumption of energy on the basis of meeting consumers' demand minimum, become the key of research.

Traditional communication base station transmit power allocations mode is power-sharing, although this power-sharing mode is easy to the process of channel quality, but when system is under low load condition, because user rate requirements height is different, in order to meet all user's requests, this kind of high-power output of way selection, is very easy to the waste causing energy.

The inventive method only supports low data rate based on low frequency spectrum efficiency mode, the theory that transmitting power needed for low modulation mode is lower, in the non-full loading condition of system, can be adopted and reallocate to user meet the remaining frequency spectrum after user rate requirements, from spectral efficient patten transformation to low frequency spectrum efficiency mode, reach the object of energy saving by reducing its modulation system.

Be below relevant speciality term of the present invention brief introduction:

UE: subscriber equipment, the i.e. relevant device such as the usual mobile phone understood and the notebook computer carrying out wireless data transceiving.

CN: core net.

SINR: Signal to Interference plus Noise Ratio.The ratio of the intensity referring to the useful signal received and the intensity of interference signal (Noise and Interference) received.

RAB: the carrying referring to user plane, for transmitting speech data and multimedia service between UE and CN.

QoS: in the communications field, its be expressed as be defined in one or more object collective behavior on the set of a set of quality requirement.Comprise: some QoS parameters such as throughput, transmission delay and error rate, can the speed of data of description transmission and reliability etc.

ENodeB: i.e. base station system.

RB: Resource Block.RB is the minimum unit of scheduling, and frequency domain is made up of 12 sub-carrier waves, and time domain comprises 7 OFDM symbol (under conventional CP), and time span is the time span 0.5ms of a time slot.

MCS: Modulation and Coding Scheme.

MPR algorithm: Multi-user Power Reduce, multi-user's energy reduces algorithm.

Summary of the invention

The object of the invention is to: provide a kind of and be applicable to the resource allocation methods of LTE and LTE-Advanced system under non-full loading condition, can on the basis meeting telex network rate requirement, the transmitting power of base station is reduced, reach reduction energy resource consumption, promote the object of efficiency of energy utilization.

To achieve these goals, the technical solution used in the present invention is: the resource allocation methods of a kind of LTE and LTE-Advanced system under non-full load, is characterized in that: carry out in accordance with the following steps: the SINR value of all users in statistics community; Community RB is divided into the RB set that available RB gathers, distributes to each user; First stage Resourse Distribute is carried out to intra-cell users; Undated parameter; Second stage Resourse Distribute is carried out to intra-cell users; According to the preallocated optimum RB of each user, calculate the average sinr value of each user, and obtain momentary rate value, the instantaneous power value of each user by the average sinr value of each user; Carry out prioritization to each user, the user that priority is the highest can obtain preallocated optimum RB; Repeat preassignment until available RB gathers for empty;

Concrete steps are:

S1: system cloud gray model starts, in statistics community, the SINR value of all users, determines channel quality condition by SINR;

S2: community RB is divided into two set: available RB set is gathered with the RB distributing to each user;

S3: first stage Resourse Distribute is carried out to intra-cell users, when the actual speed rate of user is more than or equal to user rate requirements, distribute new RB resource no longer to this user, and, the RB being assigned to user will remove from available RB set, enters next step when the rate requirement of all users is met;

S4: upgrade RB number, effectively SINR value, Mean Speed, MCS grade and available RB lumped parameter that each user has been assigned to;

S5: second stage Resourse Distribute is carried out to intra-cell users; Available RB set after upgrading according to step S4, calculate the SINR value of each user in available RB set, then pick out the RB that the SINR value of each user is maximum, that is: optimum RB, the preassignment RB obtaining each user gathers: User-RB;

S6: according to the preallocated optimum RB of each user, calculate the average sinr value of each user, and search the SINR-CQI table of comparisons by the average sinr value of each user, find out the MCS grade that each user is corresponding, and momentary rate value, the instantaneous power value of each user of MCS rating calculation according to correspondence;

S7: prioritization is carried out to each user, the user that priority is the highest can obtain by optimum RB preallocated in step S5, and upgrade user RB set, user's gained RB number, momentary rate value, the instantaneous power value of the highest user of this priority, the optimum RB that other users abandon in User-RB distributes, and the parameter such as user's gained RB number, momentary rate value, instantaneous power value of other users remains unchanged;

S8: repeated execution of steps S5-S7 until available RB gathers for empty.

Preferred as one, the method calculating the SINR value of each user in available RB set described in the inventive method step S5 is:

Be defined as follows:

Community: M=1,2,3 ... M }, M is community sum;

The user of every community: I=1,2,3 ..., K }, K is total number of users;

Available RB set: H=1,2,3 ..., C }, C is RB sum, and RBc is c RB;

The RB set distributing to user k is I _k={ RB ₁, RB ₂, RB ₃rB _c(k=1,2,3 ..., K) (c=1,2,3 ..., C)

According to formula

${\mathrm{SINR}}_{m,k,c}\left(t\right)=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{I_{k,c}+N}=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{\underset{m^{\′}\≠m}{\overset{M}{\mathrm{\Σ}}}{P}_{k^{\′},c}^{m^{\′}}{G}_{m,k}+N}$

Obtain the SINR value of user on each RB;

Wherein, represent when t TTI, if RBc(c ∈ is H) distribute to user k, the transmission power level of this user, G _m,kcomprise that link damages, the channel gain of shadow fading and antenna gain; N: represent noise, I _{k, c}: represent presence of intercell interference.

Preferred as one, described in the inventive method step S7 to the method that user carries out prioritization be:

Adopt the priority of following formulae discovery user:

$g=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+f_{\mathrm{fair}})=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+\exp (T/(r_{k_1}\left(t\right)-T))$

Wherein, user k when being t TTI ₁instantaneous power value, f _fairbe fairness function, T is user rate requirements; for user k ₁momentary rate value;

The value of g is higher, then the priority of this user is higher.

Owing to have employed technique scheme, the invention has the beneficial effects as follows:

A kind of resource allocation methods of the present invention, by spectrum efficiency, MCS grade, energy efficiency organically combines, to apply in a flexible way the relation of three, for the non-full load state of system, utilize the assigning process in two stages, with the use of energy efficiency function and fairness function, can on the basis ensureing user rate demand, largely reduce base station transmitting power, the fairness between the QoS of each user in community and user can be ensured again simultaneously, the inventive method can realize the good compromise of energy efficiency and spectrum efficiency, reach the object of energy-saving and emission-reduction in communication service.

Accompanying drawing explanation

Fig. 1 is the particular flow sheet of the inventive method.

The SINR-CQI table of comparisons that Fig. 2 adopts for the embodiment of the present invention.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

Embodiment:

Resourse Distribute in LTE project take TTI as chronomere, in a TTI, all available RB resources all distributed to user.

According to Fig. 1, Fig. 2, the resource allocation methods of a kind of LTE and LTE-Advanced system under non-full load, comprises the following steps:

S1: system cloud gray model starts, in statistics community, the SINR value of all users, determines channel quality condition by SINR;

S2: community RB is divided into two set: available RB set is gathered with the RB distributing to each user;

S3: first stage Resourse Distribute is carried out to intra-cell users, when the actual speed rate of user is more than or equal to user rate requirements, distribute new RB resource no longer to this user, and, the RB being assigned to user will remove from available RB set, enters next step when the rate requirement of all users is met;

The concrete operations of step S3 are as follows:

First initialization is carried out, wherein n _kthe RB number that user k is assigned to, r _kt () is the momentary rate of user, I _kit is the RB set that user is assigned to.

Then, judge whether user's momentary rate is less than this user rate requirements:

The first, if user's momentary rate is less than this user rate requirements, then gathers at available RB the RB(selecting SINR value maximum in H and call optimum RB in the following text), be designated as c RB:RBc, distribute to this user, then upgrade corresponding set I _k=I _k+ { c }, H=H-{ c }, according to formula:

${\mathrm{SINR}}_{m,k,c}\left(t\right)=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{I_{k,c}+N}=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{\underset{m^{\′}\≠m}{\overset{M}{\mathrm{\Σ}}}{P}_{k^{\′},c}^{m^{\′}}{G}_{m,k}+N}$

Obtain the equivalent SINR value of this user on RBc, wherein, represent when t TTI, if RBc(c ∈ is H) distribute to user k, the transmission power level of this user, G _m,kcomprise that link damages, the channel gain of shadow fading and antenna gain, N and I _k,crepresent noise and presence of intercell interference respectively.

In order to simplify calculating, in the present embodiment, use the mean value of SINR represent user's equivalence SINR value.

Upgrade relevant parameter and according to value is searched the SINR-CQI table of comparisons and is obtained corresponding optimum MCS grade: data rate corresponding to every MCS grade is:

$R_r=\frac{{\mathrm{SC}}_{\mathrm{symbol}}*{\mathrm{eff}}_r*{\mathrm{BI}}_{\mathrm{symbol}}*{\mathrm{SY}}_{\mathrm{time}-\mathrm{slot}}}{T_{\mathrm{time}-\mathrm{slot}}}$

Wherein, r represents MCS grade, SC _symbolrepresent every symbol subcarrier number, eff _rcode efficiency, BI _symbolvalue is every sign bit number, SY _time-slotrepresent every Slot symbol number, T _time-slotit is slot length.

Again according to formula

$r_k\left(t\right)=n_k*f\left({\stackrel{\‾}{\mathrm{SINR}}}_{m,k}\left(t\right)\right)$

Obtain n _k, r _k(t).

The second, if user's momentary rate is more than or equal to this user rate requirements, then stop the Resourse Distribute to this user, start to carry out Resourse Distribute to next user, when the rate requirement of all users is all met, Resourse Distribute terminates the first stage.

S4: upgrade RB number, effectively SINR value, Mean Speed, MCS grade and available RB lumped parameter that each user has been assigned to;

S5: second stage Resourse Distribute is carried out to intra-cell users; Available RB set after upgrading according to step S4, calculate the SINR value of each user in available RB set, then pick out the RB that the SINR value of each user is maximum, that is: optimum RB, the preassignment RB obtaining each user gathers: User-RB;

S6: according to the preallocated optimum RB of each user, calculate the average sinr value of each user, and search the SINR-CQI table of comparisons by the average sinr value of each user, find out the MCS grade that each user is corresponding, and momentary rate value, the instantaneous power value of each user of MCS rating calculation according to correspondence;

Step S5, S6 concrete operations are as follows:

According to formula ${\mathrm{SINR}}_{m,k,c}\left(t\right)=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{I_{k,c}+N}=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{\underset{m^{\′}\≠m}{\overset{M}{\mathrm{\Σ}}}{P}_{k^{\′},c}^{m^{\′}}{G}_{m,k}+N}$ For picking out the maximum RB of SINR value in each user set H in the updated, that is: optimum RB, generate the allocation result of interim User-RB, result adds up user's gained RB number of each user, momentary rate value, instantaneous power value as intermediate variable thus, comprises search the SINR-CQI table of comparisons, in the present embodiment, see Fig. 2, obtain the momentary rate value of MCS grade and correspondence thereof, and upgrade the possible momentary rate value of each user

S7: prioritization is carried out to each user, the user that priority is the highest can obtain by optimum RB preallocated in step S5, and upgrade user RB set, user's gained RB number, momentary rate value, the instantaneous power value of the highest user of this priority, the optimum RB that other users abandon in User-RB distributes, and the parameter such as user's gained RB number, momentary rate value, instantaneous power value of other users remains unchanged;

Step S7 concrete operations are as follows:

The instantaneous power obtained by S6, momentary rate value are brought into User Priority formula:

$g=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+f_{\mathrm{fair}})=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+\exp (T/(r_{k_1}\left(t\right)-T))$

Wherein, user k when being t TTI ₁instantaneous power value, f _fairbe fairness function, T is user rate requirements, and g value is higher, then represent priority level higher.

Here user's momentary rate is used to design fairness function f _fair, this function well can limit the priority of high throughput users, and the power expression of user k is: wherein n _kthe RB number that user k has been assigned to, the average sinr value of user k, it is the average interference value suffered by this user.

The maximum user of numerical value g obtains actual the RBc distributing gained in step S5 ₁(c ₁∈ H), and upgrade the relevant parameter of user, and and instantaneous power value.Other users adopt abandoning the RB distributing gained in step S5, and the RB that actual allocated goes out will remove from available RB set, i.e. H=H-{c ₁.

S8: repeated execution of steps S5-S7 until available RB gathers for empty.

Step S8 concrete operations are: whether base station system judges that available RB gathers H is empty, if not empty then repeated execution of steps S5-S7, until available RB gathers for empty, then the Resourse Distribute of this TTI terminates.

The Resourse Distribute of a TTI terminates, and can carry out energy efficiency statistical testing of business cycles afterwards.

Operation parameter energy reduces gain (Energy Reduction Gain, ERG) and carrys out Characterization Energy efficiency, and its formula is:

$\mathrm{ERG}=1-\frac{\mathrm{ECR}}{{\mathrm{ECR}}_r}$

Wherein ECR is rate of energy dissipation (Energy Consumption Rate), and formula is:

$\mathrm{ECR}=\frac{P}{R}J/\mathrm{bit}$

Wherein, P and R is respectively average transmit power and data rate, and ECR value larger explanation energy efficiency is lower.

ECR is the value calculated according to required transmission power level, ECR _rfor the ECR value (frame of reference total emission power gets 46dBm) of frame of reference.ERG value is less, shows that transmitting power reduces degree larger.

By said method implementation process, and the relation of modulation system and power demand is known, the inventive method can on the basis ensureing user rate demand, largely reduce base station transmitting power, the fairness between the QoS of each user in community and user can be ensured again simultaneously, the inventive method can realize the good compromise of energy efficiency and spectrum efficiency, reaches the object of energy-saving and emission-reduction in communication service.

From the common practise of this area; the inventive method must be implemented with hardware facility connected applications; these are only preferred embodiment of the present invention; be not intended to limit protection scope of the present invention; within the spirit and principles in the present invention all; any amendment of doing, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (3)

1. the resource allocation methods of LTE and LTE-Advanced system under non-full load, is characterized in that: carry out in accordance with the following steps: the SINR value of all users in statistics community; Community RB is divided into the RB set that available RB gathers, distributes to each user; First stage Resourse Distribute is carried out to intra-cell users; Undated parameter; Second stage Resourse Distribute is carried out to intra-cell users; According to the preallocated optimum RB of each user, calculate the average sinr value of each user, and obtain momentary rate value, the instantaneous power value of each user by the average sinr value of each user; Carry out prioritization to each user, the user that priority is the highest can obtain preallocated optimum RB; Repeat preassignment until available RB gathers for empty;

Concrete steps are:

S1: system cloud gray model starts, in statistics community, the SINR value of all users, determines channel quality condition by SINR;

S2: community RB is divided into two set: available RB set is gathered with the RB distributing to each user;

S3: first stage Resourse Distribute is carried out to intra-cell users, when the actual speed rate of user is more than or equal to user rate requirements, distribute new RB resource no longer to this user, and, the RB being assigned to user will remove from available RB set, enters next step when the rate requirement of all users is met;

S4: upgrade RB number, effectively SINR value, Mean Speed, modulating-coding grade and available RB lumped parameter that each user has been assigned to;

S5: second stage Resourse Distribute is carried out to intra-cell users; Available RB set after upgrading according to step S4, calculate the SINR value of each user in available RB set, then pick out the RB that the SINR value of each user is maximum, that is: optimum RB, the preassignment RB obtaining each user gathers: User-RB;

S6: according to the preallocated optimum RB of each user, calculate the average sinr value of each user, and search the SINR-CQI table of comparisons by the average sinr value of each user, find out the MCS grade that each user is corresponding, and momentary rate value, the instantaneous power value of each user of MCS rating calculation according to correspondence;

S7: prioritization is carried out to each user, the user that priority is the highest can obtain by optimum RB preallocated in step S5, and upgrade user RB set, user's gained RB number, momentary rate value, the instantaneous power value of the highest user of this priority, the optimum RB that other users abandon in User-RB distributes, and the parameter such as user's gained RB number, momentary rate value, instantaneous power value of other users remains unchanged;

S8: repeated execution of steps S5-S7 until available RB gathers for empty.

2. resource allocation methods according to claim 1, is characterized in that, the method calculating the SINR value of each user in available RB set described in step S5 is:

Be defined as follows:

Community: M=1,2,3 ... M }, M is community sum;

The user of every community: I=1,2,3 ..., K }, K is total number of users;

Available RB set: H=1,2,3 ..., C }, C is RB sum, and RBc is c RB;

The RB set distributing to user k is I _k={ RB ₁, RB ₂, RB ₃rB _c(k=1,2,3 ..., K) (c=1,2,3 ..., C)

According to formula

${\mathrm{SINR}}_{m,k,c}\left(t\right)=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{I_{k,c}+N}=\frac{P_{k,c}^m\left(t\right)G_{m,k}}{\underset{m^{\′}\≠m}{\overset{M}{\mathrm{\Σ}}}{P}_{k^{\′},c}^{m^{\′}}{G}_{m,k}+N}$

Obtain the SINR value of user on each RB;

Wherein, represent when t TTI, if RBc(c ∈ is H) distribute to user k, the transmission power level of this user, G _m,kcomprise that link damages, the channel gain of shadow fading and antenna gain; N: represent noise, I _{k, c}presence of intercell interference.

3. resource allocation methods according to claim 1, is characterized in that, described in step S7 to the method that user carries out prioritization is:

Adopt the priority of following formulae discovery user:

$g=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+f_{\mathrm{fair}})=\underset{k_1\∈I}{\max }(\frac{1}{P_T^{k_1}\left(t\right)}+\exp (T/(r_{k_1}\left(t\right)-T))$

Wherein, user k when being t TTI ₁instantaneous power value, f _fairbe fairness function, T is user rate requirements; for user k ₁momentary rate value;

The value of g is higher, then the priority of this user is higher.