CN105873214B - A kind of resource allocation methods of the D2D communication system based on genetic algorithm - Google Patents
A kind of resource allocation methods of the D2D communication system based on genetic algorithm Download PDFInfo
- Publication number
- CN105873214B CN105873214B CN201610173554.0A CN201610173554A CN105873214B CN 105873214 B CN105873214 B CN 105873214B CN 201610173554 A CN201610173554 A CN 201610173554A CN 105873214 B CN105873214 B CN 105873214B
- Authority
- CN
- China
- Prior art keywords
- cue
- terminal
- chromosome
- communication system
- population
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/51—Allocation or scheduling criteria for wireless resources based on terminal or device properties
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/52—Allocation or scheduling criteria for wireless resources based on load
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
The resource allocation methods for the D2D communication system based on genetic algorithm that the invention discloses a kind of, the terminal of D2D communication system includes cellular network terminal (CUE) and D2D mobile terminal (DUE), including N number of CUE and M DUE, method includes: the coding mode of (1) setting chromosome；(2) initialization population；(3) channel capacity of solving system, and the fitness function that it is genetic algorithm is set；(4) reproductive process is carried out to population, every breeding generation includes selection, intersects, four variation, amendment steps；(5) algorithm stops after reproductive order of generation, which iterates to, meets termination condition.The transmission power of mobile terminal can be effectively reduced in the present invention under the premise of meeting QoS of customer, increase the channel capacity of system.
Description
Technical field
The present invention relates to the communications fields D2D, and in particular to a kind of resource allocation of the D2D communication system based on genetic algorithm
Method.
Background technique
As the research of 5G technology is further goed deep into, mobile communication technology has further big rate, large capacity
It is required that.The demand of high speed wireless data service also sharply increases, and next generation wireless network is needed to improve throughput of system.Therefore,
Need to develop reasonable method to increase power system capacity, to adapt to increasingly increased voice-and-data service.Traditional nothing
The communication process of line cellular network needs base station to transfer, and is divided into 2 stages: transmitter to base station, i.e. uplink；Base station is arrived
Receiver, i.e. downlink.This centralization working method is convenient for the management and control to resource and interference, but the utilization of resources is imitated
Rate is low.Device-to-device (D2D) communicates the resource utilization that can effectively improve cellular network.In order to improve spectrum utilization efficiency,
Qualcomm in 2008 is put forward for the first time the D2D communication technology: D2D communication is a kind of under cellular network control, allows terminal user
Resource by sharing conventional cellular network carries out the new technology of direct communication.The D2D communication resource based on cellular system control
The mode of distribution has following two: the first is D2D user using dedicated frequency spectrum resource, between D2D user and phone user
Not mutual interference, but it is faced with the limited situation of frequency spectrum resource；Second is D2D user under cellular network centralized control
The resource of shared phone user.Cellular network can mitigate base station burden by the introducing D2D communication technology, reduce communication delay,
Compared with conventional cellular network, D2D communicates the resource that can share cellular network, can greatly improve power system capacity.Therefore,
D2D communicates the key technology for having become future mobile communications.
But D2D introducing brings a series of challenge, and the different terminals in cell are multiplexed identical channel resource, can be to small
Other terminals in area generate co-channel interference.It would therefore be desirable to design reasonable resource allocation algorithm, meeting user service
Resource allocation is effectively carried out under the premise of quality.For these problems of appearance, the present invention proposes a kind of based on genetic algorithm
D2D communication system resource allocation methods, efficiently utilize cellular network frequency spectrum resource, improve spectrum efficiency.
Summary of the invention
Goal of the invention: it object of the present invention is to be directed to the resource allocation problem of D2D communication system, provides a kind of based on heredity calculation
The resource allocation methods of the D2D communication system of method fast and effeciently carry out the optimization of resource allocation, effectively improve network capacity.
Technical solution: for achieving the above object, the present invention adopts the following technical scheme:
A kind of resource allocation methods of the D2D communication system based on genetic algorithm, the terminal of the D2D communication system include
Cellular network terminal (CUE) and D2D mobile terminal (DUE), a pair of of DUE include that D2D transmitting mobile terminal (DTUE) and D2D are received
Mobile terminal (DRUE), wherein there is M to share uplink resource to DUE and N number of CUE, M and N are the integer greater than 0, feature
It is, the described method comprises the following steps:
(1) system parameter is initialized, the parameter includes snr threshold, the power of D2D launch terminal, mobile terminal number
The distance of amount and terminal room；
(2) Resource Allocation Formula is subjected to chromosome coding, coding mode is G=(g1,…,gj,…,gM), each dyeing
Body shares M gene position, each gene position gjValue be 1 ... N；
(3) chromosome of certain scale is randomly generated as initial population；
(4) using the channel capacity for maximizing system as target, the corresponding channel capacity value of each chromosome, and conduct are calculated
The fitness function value of genetic algorithm；
(5) population is bred, every breeding generation includes selection, intersection, variation and makeover process；
(6) repeat reproduction process is until meeting stopping criterion for iteration, according to the maximum individual of fitness function value in population
Carry out the distribution of resource.
Preferably, x-th of chromosome U in the step (4)xThe channel capacity of system under corresponding resource distribution mode
C(Ux) calculation formula are as follows:
Wherein, B is subchannel bandwidth, SINRciFor the SINR that CUEi is received, SINRdjFor the SINR that DRUEj is received,
Calculation formula is respectively as follows:
Wherein, PiFor the transmission power of CUE i, riFor the distance between CUE i and base station, PTFor the transmission power of DTUE,
dk,iIt is path loss index, N for the distance between DTUE k and CUE i, α0For noise power,It is corresponding for i-th of subchannel
Termination set；
Wherein, ljFor the distance between DTUE j and DRUE j, PmFor the transmission power of CUE m, dm,jFor CUE m and DRUE
The distance between j, dk,jFor the distance between DTUE k and DRUE j,For the corresponding termination set of m-th of subchannel.
The utility model has the advantages that compared with prior art, the present invention is based on the resource allocation sides of the D2D communication system of genetic algorithm
Method can effectively improve power system capacity, reduce transmission power, superior performance, and be easily achieved.
Detailed description of the invention
Fig. 1 is the specific flow chart that the D2D communication resource allocation method based on genetic algorithm is realized；
Fig. 2 is the application scenario diagram of D2D communication system；
Fig. 3 is the distribution example diagram of the D2D communication resource based on genetic algorithm；
Fig. 4 is using genetic algorithm and the resulting D2D communication channel capacity figure of other algorithms；
Fig. 5 is the CUE average emitted power diagram using genetic algorithm and the resulting D2D communication system of other algorithms.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate
It the present invention rather than limits the scope of the invention, after the present invention has been read, those skilled in the art are to of the invention each
The modification of kind equivalent form falls within the application range as defined in the appended claims.
The selection of scene directly affects the performance of resource allocation methods, analyzes the setting and ginseng of scene in detail below
Several settings.
1. the classification and quantity of mobile terminal
In D2D communication system, terminal is divided into two classes: legacy cellular net mobile terminal CUE and D2D mobile terminal DUE.
DUE be in the form of pairs of existing for, a pair of of DUE include D2D transmitting mobile terminal DTUE and D2D receive mobile terminal DRUE.?
In FDD-LTE network, a sub-channels distribute to a CUE, and multiple DUE to can share channel used in CUE simultaneously
Resource.In this patent, our N number of CUE and M share all channel resources to DUE.Fig. 2 is the applied field of D2D communication system
Jing Tu, wherein N number of CUE and M DTUE are evenly distributed in the cell that a radius is R, DRUE is distributed in corresponding with its
DTUE is the center of circle, and L is in the circle of radius.The invention patent is the D2D communication based on genetic algorithm proposed based on this scene
The resource allocation methods of system.
2. the foundation of channel model
In conventional cellular network, CUE uses tight power control mode.However in D2D communication, D2D launch terminal
DTUE generallys use identical transmission power, is denoted as PT.We assume that launch terminal and the channel model received between terminal are
Free space attenuation model, i.e. Pr/Pt=1/rα, wherein PrIt is the power for receiving terminal and receiving, PtIt is the transmitting for sending terminal
Power, r are the distance between terminal, and α is path-loss factor.
3. resource allocation methods
Because a sub-channels can only give a CUE, and multiple DUE can share a son in FDD-LTE network
Channel, so N number of CUE and M at least needs N number of subchannel to DUE shared channel resources.In this patent, it will be assumed that system
There is N number of subchannel, then each CUE distributes a corresponding sub-channels, other DUE share all subchannels.Therefore, corresponding every height
Channel can accommodate a CUE and y DUE (y=1 ... M), we are denoted as the termination set of every sub-channels
4. capacity definition
The SINR (Signal Interference and Noise Ratio) that honeycomb network termination CUEi is received can be indicated are as follows:
Similarly, the SINR that D2D receives that terminal D RUE is received can be expressed as
Obviously, the capacity of D2D communication system includes two parts: the capacity of CUE terminal and the capacity of DUE terminal pair.According to
The capacity of its SINR formula, CUE i can indicate are as follows:
Cci=Blog2(1+SINRci)
Similarly, the capacity of DUE j can indicate are as follows:
Cdj=Blog2(1+SINRdj)
Finally, total power system capacity is denoted as:
Based on above-mentioned theory basis, the D2D communication resource allocation method of the invention based on genetic algorithm is designed.
It is as follows to the symbol of the invention used or parameter declaration first:
CUE: legacy cellular net mobile terminal；
DUE:D2D mobile terminal；
The transmitting mobile terminal of DTUE:D2D mobile terminal centering；
The reception mobile terminal of DRUE:D2D mobile terminal centering；
M: the quantity of D2D mobile terminal pair in cell；
N: the quantity of CUE mobile terminal in cell；
R: radius of society；
BS: base station；
L: the maximum distance in a pair of of DUE between DRUE and DTUE；
Pi: the transmission power of CUE i；
ri: the distance between CUE i and base station；
PT: the transmission power of DTUE k；
dk,i: the distance between DTUE k and CUE i；
α: path loss index；
N0: noise power；
lj: the distance between DTUE j and DRUE j；
dm,j: the distance between CUE m and DRUE j；
dk,j: the distance between DTUE k and DRUE j；
B: subchannel bandwidth；
The corresponding termination set of i-th of subchannel；
P0: crossover probability；
P1: mutation probability.
As shown in Figure 1, a kind of D2D communication resource allocation method based on genetic algorithm disclosed by the embodiments of the present invention, packet
Include following steps:
(1) it initializes:
1) system parameter is initialized, the parameter includes the power of snr threshold, D2D launch terminal；
2) the quantity N and various distances for obtaining quantity M, the CUE mobile terminal of the D2D communication mobile terminal in network become
Measure dk,i、dm,jAnd dk,jValue；Each range information can be estimated to obtain or be based on based on detection signal each terminal to base station
The positional information calculation of report obtains, and each equipment position information can be directly initialized in simulated environment；
3) for each CUE, only and a channel is only taken up, without loss of generality, it will be assumed that distribute to the 1st
The number of the CUE terminal of channel is denoted as 1, and successively column push away, that is, the number for distributing to the CUE terminal of i-th of channel is denoted as i.
(2) set chromosome is encoded to G=(g1,…,gj,…,gM), each chromosome shares M gene position, represents M
To DUE terminal, each gene position gjValue be 1 ... N, value represent the serial number of DUE shared channel resources.
(3) initialization population, the population scale the big more may find global solution, but runing time is also relatively long.This reality
10*N chromosome is randomly generated in total and forms population for we in example, can be according to the scale and algorithm of number of terminals in concrete application
Efficiency requirements appropriate adjustment, the gene position of each chromosome is also to be randomly generated, value 1 ... N, probability 1/N；
(4) the channel capacity C (U of solving systemx), and the fitness function that it is genetic algorithm, wherein U are setxFor xth
A chromosome, wherein channel capacity C (Ux) solution procedure it is as follows:
According to Cellular Networks basic theory, the SINR (Signal Interference and Noise Ratio) that honeycomb network termination CUEi is received can be indicated
Are as follows:
Similarly, the SINR that D2D receives that terminal D RUE is received can be expressed as
Obviously, the capacity of D2D communication system includes two parts: the capacity of CUE terminal and the capacity of DUE terminal pair.According to
The capacity of its SINR formula, CUE i can indicate are as follows:
Cci=Blog2(1+SINRci)
Similarly, the capacity of DUE j can indicate are as follows:
Cdj=Blog2(1+SINRdj)
Finally, total power system capacity is denoted as:
(5) reproductive process is carried out to population, every breeding generation includes selection, intersects, four variation, amendment steps:
1) it selects
In this patent, we are selective staining body, x-th of chromosome U from population using classical roulette selection methodx
The probability selected are as follows:
2) intersect
The effect of intersection be it is preferably next-generation in order to obtain, we use single point crossing mode, crosspoint random selection,
Latter two right chromosome is based on crosspoint left-right parts and is interchangeable.We set crossover probability as P0, crossover algorithm is as follows:
3) it makes a variation
Variation is exactly in population according to mutation probability P1Optional several gene positions change its place value, in this patent, base
The N because the value of position is 1 ..., so the supplementary set of value after genetic mutation for its value.
4) it corrects
For the service quality QoS for guaranteeing each terminal, SINR necessarily is greater than the threshold value of SINR, but is planting sometimes
Group's initialization intersects, the corresponding channel distribution state of generated chromosome and is unsatisfactory for each terminal in mutation process
SINR is higher than certain threshold value, it is therefore desirable to modified process.In this patent, we are repeated using simple process
(process once selected from former generation again, intersect, to make a variation) is modified.
(6) after reproductive order of generation iterates to the maximum quantity Num of setting or meet and find preferably chromosome, each dyeing
The fitness function value of body tend towards stability etc. other conditions of convergence when algorithm stop.Finally calculate final target function value, root
The distribution of resource is carried out according to the maximum individual of fitness function value.
Fig. 3 is the specific example of the embodiment of the present invention based on the distribution example diagram of the D2D communication resource of genetic algorithm, with M=
For 8, N=3, corresponding chromosome is (1,2,1,3,2,3,1,3), it may be assumed that DUE terminal shares channel money with CUE 1 to 1,3,7
Source 1, DUE terminal are to 2,5 and 2 shared channel resources 2 of CUE, DUE terminal to 4,6,8 and 3 shared channel resources 3 of CUE.
Fig. 4 is compared in detail using genetic algorithm and the resulting D2D communication channel capacity of other algorithms.For the verifying present invention
For method than the advantage of the prior art, the present invention sets following simulation parameter: radius of society R as 600m, DUE terminal pair it is maximum away from
It is 20m from L, the quantity of DUE terminal pair is that the maximum transmission power that the quantity of 10, CUE terminal is 3, CUE is 2W, the transmitting of DUE
Power is 0.001W, noise power N0For -105dBm, channel path loss coefficient is 4, the number of iterations 50, the door of SINR
Limit value is 6dB.It can be seen from the figure that resource allocation methods its channel capacity maximum that exhaust algorithm is searched out, but exhaustion
Method is that all feasible allocation plans are listed and calculated, and computationally intensive, time-consuming, and it is extremely difficult to find optimal value.Base
Although simple in the resource allocation methods that random algorithm obtains, the result that it is obtained is not satisfactory.Compared to first two method, originally
The resource allocation method calculation amount based on genetic algorithm used in invention is small, time-consuming short, and convergence is fast, and result is close to exhaust algorithm
Gained optimal result.
Fig. 5 compares the CUE average emitted power using genetic algorithm and the resulting D2D communication system of other algorithms.From
As can be seen that the CUE mean power for mentioning the resource allocation methods based on genetic algorithm is lower, because in our mentioned bases in figure
Because CUE still uses power control in algorithm, it can be effectively reduced its transmission power, efficiently improve network capacity.
Claims (3)
1. a kind of resource allocation methods of the D2D communication system based on genetic algorithm, the terminal of the D2D communication system includes bee
The nest network terminal (CUE) and D2D mobile terminal (DUE), a pair of of DUE include that D2D transmitting mobile terminal (DTUE) and D2D are received and moved
It moves terminal (DRUE), in the D2D communication system, a sub-channels distribute to a CUE, and multiple DUE are to shared CUE institute simultaneously
The channel resource used, if M shares uplink resource to DUE and N number of CUE, M and N are the integer greater than 0, which is characterized in that
It the described method comprises the following steps:
(1) initialize system parameter, the parameter include snr threshold, the D2D transmitting power of mobile terminal, terminal quantity with
And the distance of terminal room；
(2) Resource Allocation Formula is subjected to chromosome coding, coding mode is G=(g1,…,gj,…,gM), each chromosome is total
There are M gene position, each gene position gjValue be 1 ... N；
(3) 10*N chromosome is randomly generated as initial population；The gene position of each chromosome is also to be randomly generated, general
Rate is 1/N；
(4) using the channel capacity for maximizing system as target, the corresponding channel capacity value of each chromosome is calculated, and as heredity
The fitness function value of algorithm；
(5) population is bred, every breeding generation includes selection, intersection, variation and makeover process；Wherein the intersection uses
Single point crossing mode, crosspoint random selection, latter two right chromosome are based on crosspoint left-right parts and are interchangeable；Setting intersects
Probability is P0；
The variation is in population according to mutation probability P1Optional several gene positions change its place value, and the value of gene position is 1 ...
N, so the supplementary set of value after genetic mutation for its value；
It is described to correct the letter for being higher than setting with the SINR of each terminal under the corresponding channel distribution state of generated chromosome
It makes an uproar and is modified than threshold value for condition；It is modified using the process for once being selected, intersecting, being made a variation from former generation again；
(6) repeat reproduction process is carried out until meeting stopping criterion for iteration according to the maximum individual of fitness function value in population
The distribution of resource.
2. a kind of resource allocation methods of D2D communication system based on genetic algorithm according to claim 1, feature exist
In x-th of chromosome U in the step (4)xChannel capacity C (the U of system under corresponding resource distribution modex) calculation formula
Are as follows:
Wherein, B is subchannel bandwidth, SINRciFor the SINR that CUEi is received, SINRdjFor the SINR that DRUEj is received, calculate
Formula is respectively as follows:
Wherein, PiFor the transmission power of CUE i, riFor the distance between CUE i and base station, PTFor the transmission power of DTUE, dk,i
It is path loss index, N for the distance between DTUE k and CUE i, α0For noise power,It is corresponding for i-th of subchannel
Termination set；
Wherein, ljFor the distance between DTUE j and DRUE j, PmFor the transmission power of CUE m, dm,jFor CUE m and DRUE j it
Between distance,For the corresponding termination set of m-th of subchannel.
3. a kind of resource allocation methods of D2D communication system based on genetic algorithm according to claim 1, feature exist
In, in the step (5) when Population breeding using classical roulette selection method from population selective staining body, x-th of dye
Colour solid UxThe probability selected are as follows:Q is the number of chromosome in generation population, C (Uk) it is UxIt is corresponding
The channel capacity of system under resource distribution mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610173554.0A CN105873214B (en) | 2016-03-24 | 2016-03-24 | A kind of resource allocation methods of the D2D communication system based on genetic algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610173554.0A CN105873214B (en) | 2016-03-24 | 2016-03-24 | A kind of resource allocation methods of the D2D communication system based on genetic algorithm |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105873214A CN105873214A (en) | 2016-08-17 |
| CN105873214B true CN105873214B (en) | 2019-10-18 |
Family
ID=56624785
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610173554.0A Expired - Fee Related CN105873214B (en) | 2016-03-24 | 2016-03-24 | A kind of resource allocation methods of the D2D communication system based on genetic algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105873214B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108023664B (en) * | 2016-10-28 | 2020-11-10 | 中国电信股份有限公司 | Interference coordination method and system, base station, user terminal and spectrum allocation device |
| CN106792451B (en) * | 2016-12-17 | 2020-04-21 | 河海大学 | D2D communication resource optimization method based on multi-population genetic algorithm |
| CN108738103B (en) * | 2017-04-13 | 2021-03-02 | 电信科学技术研究院 | Resource allocation method and device |
| CN108271242B (en) * | 2017-12-14 | 2021-01-05 | 南京邮电大学 | D2D resource allocation method based on energy efficiency |
| CN108990160B (en) * | 2018-07-25 | 2020-07-31 | 河海大学 | 5G communication system capacity optimization method based on improved bat algorithm |
| CN109041016B (en) * | 2018-07-25 | 2020-04-03 | 河海大学 | Method for optimizing terminal access number of 5G communication system in dense scene |
| CN109089245B (en) * | 2018-08-07 | 2021-10-15 | 国网江苏省电力有限公司电力科学研究院 | Method and device for communication between devices considering lowest transmission rate of cellular user |
| CN110049474B (en) * | 2019-05-17 | 2020-07-17 | 北京邮电大学 | Wireless resource allocation method, device and base station |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103796317A (en) * | 2013-12-06 | 2014-05-14 | 南京邮电大学 | Device-to-device relay communication-based resource allocation method |
| CN103916223A (en) * | 2014-03-24 | 2014-07-09 | 西安交通大学 | D2D collaboration retransmission method based on genetic algorithm |
-
2016
- 2016-03-24 CN CN201610173554.0A patent/CN105873214B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103796317A (en) * | 2013-12-06 | 2014-05-14 | 南京邮电大学 | Device-to-device relay communication-based resource allocation method |
| CN103916223A (en) * | 2014-03-24 | 2014-07-09 | 西安交通大学 | D2D collaboration retransmission method based on genetic algorithm |
Non-Patent Citations (2)
| Title |
|---|
| Joint Optimization of Channel Allocation, Link Assignment and Power Control for Device-to-Device Communication Underlaying Cellular Network;Rui Tang，et al.;《China Communications 》;20151231;第12卷(第12期);全文 * |
| 终端直通通信的资源管理技术的研究;杨程程;《中国优秀硕士学位论文全文数据库 信息科技辑》;20150815;第4-5、12-22、44-47页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105873214A (en) | 2016-08-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105873214B (en) | A kind of resource allocation methods of the D2D communication system based on genetic algorithm | |
| CN107071914B (en) | Dynamic mode selection and energy distributing method in a kind of energy capture D2D network | |
| CN108834080B (en) | Distributed cache and user association method based on multicast technology in heterogeneous network | |
| CN106792451A (en) | A kind of D2D communication resource optimization methods based on Multiple-population Genetic Algorithm | |
| CN103873146B (en) | Resource regulating method in indoor distributed visible light communication system | |
| CN104717755A (en) | Downlink frequency spectrum resource distribution method with D2D technology introduced in cellular network | |
| CN111586646B (en) | Resource allocation method for D2D communication combining uplink and downlink channels in cellular network | |
| CN106454700A (en) | D2D (Device-to-Device) communication content distribution scheme based on social network | |
| CN108064077B (en) | The power distribution method of full duplex D2D in cellular network | |
| CN106454920A (en) | Resource allocation optimization algorithm based on time delay guarantee in LTE (Long Term Evolution) and D2D (Device-to-Device) hybrid network | |
| CN109905864A (en) | A kind of cross-layer Resource Allocation Formula towards electric power Internet of Things | |
| CN106231665B (en) | Resource allocation methods based on the switching of RRH dynamic mode in number energy integrated network | |
| CN108848045B (en) | D2D communication interference management method based on joint interference alignment and power optimization | |
| CN109039494A (en) | A kind of 5G resource assignment method of communication system based on improvement harmonic search algorithm | |
| CN104936250B (en) | The method being route in wireless D2D networks based on P2P file-sharings | |
| CN108990160A (en) | A kind of 5G capacity of communication system optimization method based on improvement bat algorithm | |
| CN106060917A (en) | Antenna and power joint allocation algorithm based on group match | |
| CN105979586A (en) | D2D multicast communication resource distribution method based on graph theory | |
| Zhou et al. | Joint radio resource allocation for decoupled control and data planes in densely deployed coordinated WLANs | |
| CN104619028A (en) | MIMO (Multiple Input Multiple Output) heterogeneous network resource allocation method capable of guaranteeing users' fairness | |
| CN107249212B (en) | The maximized power distribution method of efficiency in a kind of D2D communication | |
| CN108601083B (en) | Resource management method based on non-cooperative game in D2D communication | |
| CN106714083B (en) | A kind of resource allocation methods of the 5G communication system based on Predatory search algorithm | |
| CN107249213B (en) | A kind of maximized power distribution method of D2D communication Intermediate Frequency spectrum efficiency | |
| CN109152060A (en) | Transmitter channel distribution model and method in a kind of shortwave downlink communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20191018 |