CN102791002B - Based on the resource allocation methods of efficiency in LTE network - Google Patents
Based on the resource allocation methods of efficiency in LTE network Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
Based on the resource allocation methods of efficiency in LTE network of the present invention.Be applicable to LTE network, owing to having randomness, time variation when user terminal and corresponding service traffics enter community, cause the load in whole network may occur unbalanced distribution.The present invention, for unbalanced low laod network, first according to the loading condition of each community, judges whether to need to carry out dummy load equilibrium, makes whole network obtain an equilibrium state.Start bandwidth expansion to the user in each community voluntarily after dummy load balancing procedure completes, the channel quality of each user is carried out priority sequence from high to low, the user of high priority is often taking turns in distribution, has the right of an extra RB of priority allocation.On the frequency spectrum resource basis utilizing whole network rationally and effectively, finally reach the object that whole network energy consumption reduces, and drastically increase the availability of frequency spectrum of whole network.
Description
Technical field
The present invention relates to LTE network, be specifically related to the resource allocation methods in LTE network.
Background technology
LTE(Long Term Evolution) be 3GPP(the 3rd Generation Partnership Project in recent years) the new technology development project that starts, it is with new architecture, OFDM(Orthogonal Frequency Division Multiplexing), MIMO(Multiple Input Multiple Output) etc. core technology for outstanding feature.But along with the fast development of mobile communication system, networking scale constantly expands, the year power consumption of the whole communications industry sharply rises, and this not only brings larger operation cost burden to operator, also brings pollution to environment.Therefore, realize green communications, adopt efficient green wireless network Energy Saving Algorithm, be a requisite job for the communications industry, particularly particularly important in next generation mobile communication system.In order to comply with the mainstream research theory of " green communications " this society, reducing, the minimizing of mobile operation cost and the reduction of environmental pollution just how can reach more energy consumption, is all the problem being worth thinking in mobile operation process.In sum, Study on energy saving is necessary to be applied in the middle of the every field of communication.
Statistics shows, the energy that base station consumes occupies about 67% of mobile communication operators total energy consumption, and visible base station is topmost energy consumption source in mobile operation process.Therefore, the research being devoted to base station energy-saving problem seems particularly important, and the research of present stage LTE power-saving technology mainly concentrates on base station end.Because in LTE system, the scheduling of resource of uplink and downlink link channel is managed by base stations being in charge, the research about energy saving resources allocation algorithm occupies very important status at the energy saving research of LTE system base station end.But mostly traditional resource allocation methods is to carry out certain performance optimization on the basis of the classical dispatching algorithms such as poll, equitable proportion, max carrier to interference, to improve in whole communication system fairness between each user, throughput of system is maximum turns to target, seldom considers that base station is used for the efficiency problem of Resourse Distribute.For this reason, in Developing the most rapidly LTE system, the energy problem that when how to reduce Resourse Distribute, base station consumes is a direction being worth research.
In the last few years, the research being devoted to energy saving resources allocation algorithm gets more and more, research based on energy saving resources allocation algorithm mainly contains: (1) MP(Minimum transmit Power-based) resource allocation algorithm is (see document: Jungsup Song, Gye-Tac Gil, and Dong-Hoi Kim, Packet-Scheduling Algorithm by the Ratio of Transmit Power to the Transmission Bits in 3GPP LTE Downlink, EURASIP Journal on Wireless Communications and Networking 2010, pp. 1-8.): this mechanism considers the minimum delivering power of transmission needed for every bit information.By Resources allocation block RB(Resource Block) give the user of minimum delivering power needed for the every bit information of transmission to reach the object of energy efficient.Compared with traditional dispatching algorithm, this algorithm ensure that the raising of system throughput flow gain and fairness while reaching power save transmission.(2) based on modulation coding mode MCS(Modulation and Coding Scheme), Resource Block RB(Resource Block), the combined optimization method of power is (see document: David L ó pez-P é rez, á kos Lad á nyi, Optimization Method for the Joint Allocation of Modulation Schemes, Coding Rates, Resource Blocks and Power in Self-Organizing LTE Networks, 30th IEEE INFOCOM 2011, pp.111-115.): the method considers adaptive adjustment modulation coding mode MCS on the basis of LTE self-organizing network, the combined optimization assignment problem of Resource Block RB and power.The basis ensureing minimum quality of service level needed for each user minimizes the radiant power of whole community, this algorithm alleviates the interference of minizone to a certain extent, and more user can be held under same band, reduce the possibility that user is interrupted simultaneously.But above method is all based on the efficiency optimizing research under peak load condition.
Usually at dead of night to during morning, or meagrely-populated remote districts, the load of whole network will be in state on the low side.Mode of operation conveniently, in order to hold more user on the basis meeting each user's QoS requirement, the energy consumption that whole system is used for down link data transmission will be in peak value transmission state always.Now fail to obtain fully effective utilization by having a large amount of idle frequency spectrum resources, and cause the waste of energy consumption to a certain extent.
Found by a large amount of investigations, the existing study general about energy saving resources allocation algorithm is all based on the correlated performance analysis under peak load condition: inquire under peak load condition, how can on the basis meeting each user's QoS requirement, the throughput of further raising system/user, shortens queue and waits for time delay and save the lifting of the correlated performances such as delivering power.But under low load scene or unbalanced low load scene, about how to reduce, base station in LTE system is then little for the correlative study of the energy problem consumed during downlink resource allocations.Therefore, tool is of great significance by the research of energy saving resources assignment problem under low load or unbalanced low load scene.
Summary of the invention
Problem to be solved by this invention is: the service traffics for whole network are dynamic changes along with the change of time, there is great randomness, the load that result in whole network is often in unbalanced state, make a large amount of frequency spectrum resource in unbalanced low laod network be in idle condition, do not obtain rational and efficient use.Propose a kind of resource allocation methods based on efficiency being applicable to unbalanced low load scene, improve the frequency spectrum resource utilization rate of whole network, and certain energy saving can be brought.
The technical scheme that the present invention solves the problem is: by dummy load equilibrium being effectively combined with bandwidth expansion mode, attempt realizing making full use of of multiple cell-radio network frequency spectrum resource, and then reach the object that multi-cell downlink link reduces for the total power consumption of Resourse Distribute.
The present invention's " based on the resource allocation methods of efficiency in LTE network " specifically comprises the following steps:
In the configuration of current area, increase the positional information of other communities, between community, intercourse the load information of self.Network Zhong Ge community utilizes the load information obtained separately, judges whether to need to start dummy load balanced.If needed, send load balancing handover request by current virtual high capacity community to the low load neighbor cell of target, select the user terminal being in two cell overlapping region to switch to Target cell by current area.By increasing the finite bandwidth of current active user, remain situation to user according to Resource Block RB in current system
uselect suitable spreading factor
αcarry out bandwidth expansion, the amount of information that each Resource Block RB carries is reduced.
Dummy load equilibrium is specially further:
(1) netinit.It is balanced the need of startup dummy load that network Zhong Ge community utilizes the load information obtained to judge between self and neighbor cell;
(2) detect whether current area is virtual high capacity community according to average largest extension factor values, optimal selection of the present invention such as average largest extension factor values is less than 2 for virtual high capacity community.Obtain each neighbor cell load information, terminal can be switched neighbor cell in the past and add destination virtual load balancing set of cells, generate target Neighboring Cell List Nbr_cell_list;
(3) select the community of load disparity for carrying out dummy load equalization target community;
(4) current virtual high capacity Cell statistical switches to the terminal list set UE_list of Target cell;
(5) successively the user in UE_list is switched to Target cell, until current area changes non-virtual high capacity community into.
Bandwidth expansion comprises further:
(1) the minimum RB number reached required for the minimum requested data rates of each user is calculated;
(2) for each user distributes the minimum RB number met needed for its minimum data rate request;
(3) add up each community RB and remain situation;
(4) according to the channel quality information of each user, prioritization is carried out to user.The fading characteristic different according to each user uses different spreading factor α to different user;
(5) by User Priority, the RB outside each user's allocation is followed successively by.
Owing to having randomness, time variation and be usually uneven distribution when user terminal and corresponding service traffics enter community, cause load in whole network may occur unbalanced distribution.At this moment just there will be cell portion load higher, new user arrives and cannot successfully access, and adjacent low loaded cell has a large amount of idling-resource to fail to be fully used.Research about load-balancing mechanism is the key point that communication network overall performance promotes always, if effective load-balancing technique is applied to communication system, the Call Congestion rate of high capacity community will be made to obtain very large reduction, and the resource utilization of Radio Network System entirety can greatly be improved.
By being combined above-mentioned dummy load equilibrating mechanism and bandwidth expansion pattern, the idling-resource in unbalanced low laod network can be made more effectively to be utilized, while the whole network system frequency spectrum resource utilization rate of raising, reach whole network transmits energy consumption saving object for down link.
Accompanying drawing explanation
Fig. 1 is block mold block diagram in the present invention;
Fig. 2 is the balanced flow chart of dummy load in the present invention;
Fig. 3 is bandwidth expansion flow chart in the present invention.
Embodiment
The present invention is by being effectively combined dummy load equilibrium with bandwidth expansion mode, and trial realizes making full use of of multiple cell-radio network frequency spectrum resource, and then reaches the object that multi-cell downlink link reduces for the total power consumption of Resourse Distribute.Specifically comprise:
1. dummy load is balanced:
In the configuration of current area, increase the positional information of other communities, between community, intercourse the load information of self.Network Zhong Ge community utilizes the load information obtained separately, judges whether to need to start dummy load balanced.If needed, load balancing handover request is sent to the low load neighbor cell of target by current virtual high capacity community, Target cell feeds back to one and receives request response after receiving this message, self suitable terminal is selected to switch (in order to not affect the service quality of user, the user carrying out switched and transferred must be the user being in two cell overlapping region) to Target cell by current area.With the load balancing of routine unlike, current virtual high capacity community is not necessarily in overload and just carries out load transfer to the low loaded cell of target, as long as the energy consumption of whole network can be brought to reduce by utilized bandwidth mode of extension after transfer, user's switched and transferred can be carried out.
2. bandwidth expansion:
Low laod network is after dummy load equilibrium, and two neighbor cell loads can obtain equilibrium to a certain extent, and are all in unsaturation load condition.Now, by increasing the finite bandwidth of current active user, the RB number distributing to current active user is namely suitably increased.The object basis that the former service speed of each user is constant reaching energy efficient can ensured.Concrete grammar is as follows:
Assuming that under normal mode, user
ube assigned with
nindividual Resource Block RB is to meet its QoS requirement.Under bandwidth expansion pattern, then remain situation to user according to Resource Block RB in current system
uselect suitable spreading factor
αcarry out bandwidth expansion, specifically
αit is relevant that the selection be worth and community remain RB number, and RB is more for surplus resources block,
αbe worth larger.After bandwidth expansion, user
uthe Resource Block RB number be assigned with is by original
nindividually to become
individual (wherein
for the Resource Block RB number that system is total).Therefore, originally
nthe bit information that individual RB carries will be uniformly distributed after expansion
on individual RB.Because amount of information that each Resource Block RB carries reduces, result in the modulating-coding grade MCS(Modulation and Coding Scheme on each Resource Block RB) and Signal to Interference plus Noise Ratio SINR(Signal to Interference plus Noise Ratio) demand is by corresponding reduction.Therefore, base station is used for the distribution of downlink transmission power also by corresponding reduction.
Below in conjunction with accompanying drawing and instantiation, enforcement of the present invention is described specifically.
Radio Network System is made up of some communities, and system load is comparatively light, have a large amount of remaining bandwidth, and each cell load is in imbalance.For LTE multi-cell system, inter-cell frequency multiplexing factor is 1, system model is mainly based on LTE/3GPP down link standard, in descending process of transmitting, base station can obtain the transient link gain on each of the sub-channels of this community user, and each base station Resource Block RB controlled in this community distributes and delivering power distributes.
Be illustrated in figure 1 in LTE network the energy saving resources being applicable to unbalanced low laod network and distribute block mold block diagram.By considering system spectral resources and energy consumption problem, conbined usage dummy load is balanced machine-processed with bandwidth expansion, finally reaches energy-conservation and improves the object of system spectral resources utilance.Comprise dummy load equilibrium and bandwidth expansion.
As shown in Figure 2, be the balanced flow chart of dummy load.When service traffics in network access community, there is great randomness, under low load scene, also often there will be the state of out of balance load.The dummy load equalization methods being applicable to unbalanced low load scene is proposed, current virtual high capacity community is not necessarily in overload and just carries out load transfer to the low loaded cell of target, as long as the energy consumption of whole network can be brought to reduce by utilized bandwidth mode of extension after transfer, user's switched and transferred can be carried out.
Its concrete steps are as follows:
(1) netinit.In the configuration of current area, increase the positional information of other communities, can intercourse the load information of self between community, it is balanced the need of startup dummy load that network Zhong Ge community utilizes the load information obtained to judge between self and neighbor cell.
(2) whether detect current area is virtual high capacity community.So-called virtual high capacity community is namely: do not have enough resource utilized bandwidth expansions, optimum can be selected can for the average largest extension factor values of each user after bandwidth expansion
, wherein
ufor the number of users that each community is total,
for user
uby the spreading factor value of getting.If meet above-mentioned condition, it is virtual high capacity community.
If current area is virtual high capacity community, then obtain each neighbor cell load information, judge whether that existence can (namely load be in relative Lower state, and optimum can be selected can for the average largest extension factor values of each user by the neighbor cell in terminal switch past
neighbor cell), and added destination virtual load balancing set of cells.Final generation target Neighboring Cell List Nbr_cell_list, statistics meets the neighbor cell of load difference threshold value.
(3) select the community of load disparity for carrying out dummy load equalization target community, and send load balancing handover request by current virtual high capacity community to destination virtual load balancing community, Target cell feeds back to one and receives request response after receiving this message
(4) current virtual high capacity Cell statistical switches to the terminal list set UE_list of Target cell, and the user's set in UE_list is the current virtual high capacity cell serves user of overlapping region, two neighbor cells.
(5) using first user of first user in UE_list as dummy load equilibrium, after judging this terminal switch to Target cell, whether Target cell can become virtual high load condition, can for the average largest extension factor values of each user
.If Target cell does not become virtual high load condition, then perform the force handoff process of the terminal in UE_list to this Target cell, then after judging to perform switching, whether current area is still virtual high load condition, if current area changes non-virtual high capacity community into, then stop dummy load balancing procedure.If current area is still virtual high load condition after switching, using terminal next in UE_list as load balancing switching terminal, repeated execution of steps (4).
After dummy load equilibrium, each community is by the user's utilized bandwidth expansion to service separately.
Be illustrated in figure 3 bandwidth expansion flow chart.Although the realization of scheduling decision is specific and does not specify in 3 gpp, but the final purpose of most of scheduler being all the advantage in order to utilize channel fluctuation between mobile terminal as far as possible, mobile terminal being dispatched and transmits in the resource with good channel condition.Adopt the relevant scheduling of channel for LTE down link in the present invention, mobile terminal needs to send information state report with the momentary channel quality reflecting frequency-domain and time-domain.
Concrete steps are as follows:
(1) the minimum RB number reached required for the minimum requested data rates of each user first, is calculated.
Add up the channel quality condition of each user and the QoS requirement request of each user, count each user according to each user actual SINR situation and reach minimum RB number required for requested data rates
.Wherein
for user
udata rate request;
for RB under current channel condition
ithe upper information bit number that can carry,
b i represent RB
ibandwidth,
p i represent base station for RB
ion delivering power, |
h m,u |
2 represent serving BS
mto targeted customer
upath gain,
h m,u represent corresponding frequency response and suppose can know relatively accurate numerical value in base station end,
n 0 represent noise power spectral density,
i i represent RB
ion the interference power sum that is subject to;
for
the maximum integer obtained.
(2) according to statistics, for each user distributes the minimum RB number met needed for its minimum data rate request.Be each user distribution to meet needed for its minimum data rate request
d u the individual RB with good channel condition, and ensure at 1 Transmission Time Interval TTI(Transmission Time Interval) in each RB can only distribute at most a user, and each RB distributing to a user must use identical modulating-coding mechanism MCS(Module code scheme).
(3) add up each community RB according to allocation result and remain situation, residue RB number is the difference of the RB number that the total RB number of system and system have dispensed.
(4) according to the channel quality information of each user, prioritization is carried out to user.
Each user carries out prioritization from high to low by channel quality, and the user that channel quality is good has the right of preferential utilized bandwidth expansion, and the user that namely channel quality is good is partial to use larger spreading factor value.(due to the translational speed of each user, the impact of the correlative factors such as geographical position condition, the channel fading profiles that result in each user is different, and the correlated performance characteristic of each user also exists difference to a certain extent.The theoretical analysis finds, the down link transmission energy saving that the user with high target SINR is brought by utilized bandwidth mode of extension is more.Therefore, different according to each user fading characteristics uses different spreading factors to different user
α, use identical bandwidth expansion factor with to all users
αvalue is that a good energy efficient is selected.）
(5) by User Priority, the RB outside each user's allocation is followed successively by.
When distributing first, spreading factor
α=2, after all users of traversal, judge whether to still have RB to remain, if there is surplus resources, then give each user by a RB outside each User Priority again allocation, poll like this goes down until do not have surplus resources.After bandwidth expansion pattern, the frequency spectrum resource utilization rate of system can be greatly improved.
Present invention employs the dummy load equilibrating mechanism being different from conventional load equilibrium, and by itself and bandwidth expansion conbined usage.The method is applicable to low load scene particularly unbalanced low load scene, greatly improves the availability of frequency spectrum of whole network, and can bring considerable energy saving, compensate for the deficiency of existing research.
Claims (2)
- Based on the resource allocation methods of efficiency in 1.LTE network, it is characterized in that, detect whether current area is virtual high capacity community according to average largest extension factor values, obtain each neighbor cell load information, terminal can be switched neighbor cell in the past and add destination virtual load balancing set of cells, generate target Neighboring Cell List Nbr_cell_list, select the community of load disparity for carrying out dummy load equalization target community, current virtual high capacity Cell statistical switches to the terminal list set UE_list of Target cell, successively the user in UE_list is switched to Target cell, until current area changes non-virtual high capacity community into, send load balancing handover request by current virtual high capacity community to the low load neighbor cell of target in network, and select the user terminal being in two cell overlapping region to switch to the low load neighbor cell of target, system selects suitable spreading factor α to carry out bandwidth expansion according to current residual Resource Block RB to user, increases the bandwidth of current active user, and the amount of information that each Resource Block carries is reduced, and described bandwidth expansion is specially: according to formula determine i-th Resource Block RB ithe upper information bit number that can carry, according to formula calculate each user and reach minimum RB number required for requested data rates, for each user distributes the minimum RB number met needed for its minimum data rate request, add up each community RB and remain situation, according to the channel quality information of each user, prioritization is carried out to user, by User Priority, be followed successively by the RB outside each user's allocation, wherein, can for the average largest extension factor values of each user community be virtual high capacity community, the neighbor cell that terminal can switch in the past meets: can for the average largest extension factor values of each user neighbor cell, B irepresent RB ibandwidth, P irepresent base station for RB ion delivering power, | h m,u| 2represent the path gain of serving BS m to targeted customer u, N 0represent noise power spectral density, I irepresent RB ion the interference power sum that is subject to, for the data rate request of user u, wherein U is the total number of users in each community, α ufor user u is by the spreading factor value of getting.
- 2. resource allocation methods according to claim 1, is characterized in that, describedly distributes the minimum RB number met needed for its minimum data rate request for each user, is each user and distributes and meet its D needed for minimum data rate request uindividual RB, and ensure that each RB can only distribute at most a user in 1 Transmission Time Interval TTI, and each RB distributing to a user uses identical modulating-coding mechanism.
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| WO2015169361A1 (en) * | 2014-05-08 | 2015-11-12 | Huawei Technologies Co., Ltd. | A method to save energy for mobile terminals in wireless network |
| CN104023346B (en) * | 2014-06-27 | 2017-08-04 | 北京大学 | The efficiency measuring method and resource regulating method of mobile communication base station accessing user |
| CN104936234B (en) * | 2015-01-20 | 2018-10-12 | 重庆邮电大学 | A kind of joint dynamic resource allocation method optimized for efficiency in LTE system |
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| CN107645731B (en) * | 2017-09-21 | 2019-10-08 | 北京邮电大学 | Load-balancing method based on self-organizing resource allocation in a kind of NOMA system |
| CN108668235A (en) * | 2018-04-23 | 2018-10-16 | 西安邮电大学 | Handoff algorithms based on efficiency under cell breathing system |
| CN113938902A (en) * | 2020-06-29 | 2022-01-14 | 华为技术有限公司 | Cell selection method and device |
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