CN106879000A - A kind of LTE A system integration project platforms - Google Patents
A kind of LTE A system integration project platforms Download PDFInfo
- Publication number
- CN106879000A CN106879000A CN201710292379.1A CN201710292379A CN106879000A CN 106879000 A CN106879000 A CN 106879000A CN 201710292379 A CN201710292379 A CN 201710292379A CN 106879000 A CN106879000 A CN 106879000A
- Authority
- CN
- China
- Prior art keywords
- module
- base station
- user
- wireless remote
- error rate
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention builds a kind of LTE A system integration project platforms, helps to realize the heterogeneous network system integration project under base station and the separate scene of wireless remote.The system includes three modules：System initialization module, network simulation module and systematic function module.Wherein, system initialization module is used for on-premise network environment and random generation user, wherein the base station disposed and wireless remote are separate, resource grid and scheduler is initialized respectively and decline map is generated；Network simulation module is used for the running according to the network environment analog network disposed in a simulation time interval and calculates Block Error Rate and handling capacity, and wherein wireless remote can be in this heterogeneous network scene dispatching resource；Systematic function module is used for the Block Error Rate and handling capacity of the Block Error Rate calculated according to each simulation time interval and throughput statistics multiple simulation time interval, and the simulation result of system level Block Error Rate performance and throughput performance is worth to according to statistics.The invention belongs to wireless communication technology field.
Description
Technical field
The invention belongs to wireless communication technology field, and in particular to a kind of lte-a system level emulation platform.
Background technology
The emulation of wireless communication system is divided into system integration project and link level simulation.Link level simulation is concerned with point-to-point
Link level performance, by Physical layer modeling from the aspect of bit data, make a concrete analysis of the corresponding physics of physical link layer
The influence that technology is brought to link performance.System integration project focus focuses primarily upon more higher leveled level, with link simulation
Based on, from system level, the performance such as analysis system overall coverage rate, capacity.The purpose of link level simulation be in order to
Checking analysis physical-layer techniques, it is the network planning that system emulation is mainly, cell coordination, scheduling of resource, and base station selection etc. is provided
Reference frame.
At present mostly in system integration project, wireless remote possesses same Cell Identity CI with base station, as just distribution
Formula antenna is present, and although base station co-owns running time-frequency resource, but the loaded scheduling of resource of institute all by base with wireless remote
Stand completion, wireless remote can not distribute running time-frequency resource, it is impossible to reach the effect of load balancing, and only lay particular emphasis on wireless remote with base
Station possesses the heterogeneous network scene of same Cell Identity CI, lacks the supplement to the more scenes of heterogeneous network.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of lte-a system level emulation platform, to solve prior art institute
The wireless remote of presence is with the base station effect for being unable to reach load balancing and the problem for lacking the supplement to the more scenes of heterogeneous network.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of lte-a system level emulation platform, including：
System initialization module：For on-premise network environment and random generation user, wherein the base station disposed and radio remote
End possesses different Cell Identity CIs and separate, and resource grid and scheduler are initialized respectively and decline map is generated；
Network simulation module：For the decline map pipe of the network environment according to deployment, the user of random generation and generation
Reason user and running of the analog network in a simulation time interval, calculate the mistake block in each simulation time interval
Rate and handling capacity, wherein base station and wireless remote each distribute running time-frequency resource, carry out scheduling of resource；
Systematic function module：For base station and wireless remote to be according to the Block Error Rate in each simulation time interval and handle up
The Block Error Rate and handling capacity of the multiple simulation time intervals of amount statistics are simultaneously worth to system level Block Error Rate performance and handle up according to statistics
Measure the simulation result of performance.
Further, it is characterised in that the system initialization module includes：
Network design module：For on-premise network environment and random generation user, wherein the base station disposed and wireless remote
Possess different Cell Identity CIs and separate, resource grid and scheduler are initialized respectively；
Large scale decline module：For according to the network environment generation large scale decline map after initialization；
Anneta module：For generating antenna gain according to the network environment after initialization；
Shadow fading module：For generating shadow fading map according to the network environment after initialization；
Further, the network simulation module includes：
Mobile management module：Translational speed, moving direction and moving range for managing the user of random generation；
Multipath fading module：Multipath fading is generated for the network environment according to initialization, channel matrix is generated；
Interference module：For interference calculation, the position of each base station and wireless remote according to deployment, the setting of antenna,
Interference suffered by the current position of user and current each user of decline map calculation；
Scheduling of resource module：The base station of deployment and wireless remote receive user feedback and independently according to user feedback to every
Individual user distributes running time-frequency resource, carries out scheduling of resource；
Power distribution module：The base station of deployment and wireless remote are used to give each time/frequency source block distribution power；
Precoding module：For generating pre-coding matrix, base station and wireless remote select precoding square according to user feedback
Battle array；
Link measurement module：For communication link quality measurement, user according to claim 2 and above-mentioned module be transmitted through come
Data are measured to link, are calculated the letter on each Resource Block and are dried ratio, calculate optimal further according to the Resource Block being assigned to
Channel quality reporting, and result is fed back into base station and wireless remote.
Link circuit self-adapting module：For according to the optimal channel quality report adjustment modulation system and coding speed for calculating
Rate.
Link performance module：For being calculated in an emulation according to the optimal channel quality report for calculating and Signal to Interference plus Noise Ratio
Time interval Block Error Rate and handling capacity；
Further, the systematic function module includes：
Block Error Rate module：For according to the BLER statistic multiple simulation time interval in each simulation time interval
Block Error Rate, the simulation result of system level Block Error Rate performance is drawn according to statistical value；
Throughput module：For according to the throughput statistics multiple simulation time interval in each simulation time interval
Handling capacity, the simulation result of system-level throughput performance is drawn according to statistical value.
A kind of lte-a system level emulation platform provided in an embodiment of the present invention, the system includes three modules：At the beginning of system
Beginningization module, network simulation module and systematic function module.Wherein, system initialization module is used for on-premise network environment and random
Generation user, wherein the base station disposed and wireless remote possess different Cell Identity CIs and separate, initialization money respectively
Source grid and scheduler simultaneously generate decline map；Network simulation module：For the network environment according to deployment, the use of random generation
The decline management map user of family and generation and running of the analog network in a simulation time interval, calculate at each
Running time-frequency resource is each distributed in Block Error Rate and handling capacity in simulation time interval, wherein base station and wireless remote, carries out resource tune
Degree；Systematic function module：United according to the Block Error Rate in each simulation time interval and handling capacity for base station and wireless remote
The Block Error Rate and handling capacity of the multiple simulation time intervals of meter are simultaneously worth to system level Block Error Rate performance and handling capacity according to statistics
The simulation result of energy.So, the effect that the wireless remote existing for prior art is unable to reach load balancing with base station can be solved
Fruit and the problem for lacking the supplement to the more scenes of heterogeneous network.
On the other hand, the embodiment of the present invention provides a kind of method based on lte-a system level emulation platform, including：
On-premise network environment, wherein the base station disposed and wireless remote initialize respective resource grid and scheduler, on ground
Random generation user in figure, corresponding large scale decline, antenna gain, shadow fading are calculated at every place of map.
It is to drive with the time in each simulation time interval, user is moved in the simulation time of setting and judges to use
Whether family moves out map, again random in map to generate user if moving out map.
Network environment according to initialization generates multipath fading, generates channel matrix；
Interference calculation is carried out, the position of each base station and wireless remote according to deployment, the setting of antenna, user are current
Interference suffered by position and current each user of decline map calculation；
In each simulation time interval, base station and wireless remote receive user feedback.
In each simulation time interval, base station and wireless remote dispatch user, distribute Resource Block, by scheduling result by letter
Order is sent to user.
In each simulation time interval, user measures current letter and dries ratio according to channel status.
In each simulation time interval, user is dried than calculating channel quality reporting according to the letter on current each Resource Block,
It is fed back to base station or wireless remote.
In each simulation time interval, optimal channel quality report adjustment modulation system and coding speed according to user feedback
Rate.
In each simulation time interval, user receives base station or wireless remote signaling, according to scheduling result and optimum channel
Quality report calculates Block Error Rate, and handling capacity is further calculated further according to Signal to Interference plus Noise Ratio.
Statistics of error rate and handling capacity, and Block Error Rate curve and throughput curve are shown with graphic user interface, draw
Simulation result.
In such scheme, system initialization module is used for on-premise network environment and random generation user, wherein the base disposed
Stand and wireless remote possesses different Cell Identity CIs and separate, resource grid and scheduler are initialized respectively and is generated and declined
Landing figure；Network simulation module is used for the decline management map of the network environment, the user of random generation and generation according to deployment
User and running of the analog network in a simulation time interval, calculate the Block Error Rate in each simulation time interval
And handling capacity, wherein base station and wireless remote each distributes running time-frequency resource, carries out scheduling of resource；Systematic function module is used for base station
With wireless remote according to the Block Error Rate in each simulation time interval and the mistake block of throughput statistics multiple simulation time interval
Rate and handling capacity are simultaneously worth to the simulation result of system level Block Error Rate performance and throughput performance according to statistics.So, can solve
Certainly the wireless remote existing for prior art is unable to reach the effect of load balancing and lacks to the more scenes of heterogeneous network with base station
Supplement problem.
Brief description of the drawings
Fig. 1 is lte-a system provided in an embodiment of the present invention level emulation platform Organization Chart；
Fig. 2 is system model flow chart provided in an embodiment of the present invention；
Specific embodiment
Wireless remote of the present invention existing for existing prior art is unable to reach the effect of load balancing with base station
With lack the supplementary question to the more scenes of heterogeneous network, there is provided a kind of lte-a system level emulation platform, including：System initialization
Module, network simulation module and systematic function module.
Referring to shown in Fig. 1,
11：On-premise network environment and random generation user, wherein the base station disposed and wireless remote possess different cells
Identification number and separate, initializes resource grid and scheduler and generates decline map respectively；
12：Network environment, the user of random generation and the decline management map user of generation according to deployment simultaneously simulate net
Running of the network in a simulation time interval, calculates Block Error Rate and handling capacity in a simulation time interval, its
Middle base station and wireless remote each distribute running time-frequency resource, carry out scheduling of resource；
13：Base station and wireless remote are according to the Block Error Rate in each simulation time interval and the multiple emulation of throughput statistics
The Block Error Rate and handling capacity of time interval simultaneously show simulation result.
In foregoing specific embodiment, further, system initialization module has four submodules：Network design
Module, large scale decline module, Anneta module and shadow fading module；Network simulation module has nine submodules：Moving tube
Reason module, multipath fading module, scheduling of resource module, power distribution module, precoding module, interference module, link measurement
Module, link performance module and link circuit self-adapting module；Systematic function module has two submodules：Block Error Rate module and handle up
Amount module.
Network design module is used for the deployment of network environment, completes generation map, affixes one's name to base station location and nothing in mid-map
Line remote location, wherein the base station disposed and wireless remote possess different Cell Identity CIs and separate, initializes respectively
Resource grid and scheduler.
Large scale decline module is used for according to the network environment generation large scale decline map after initialization.
Anneta module is used to generate antenna gain according to the network environment after initialization.
Shadow fading module is used to generate shadow fading map according to the network environment after initialization.
Mobile management module is used for translational speed, moving direction and the moving range of the user for managing random generation.
Multipath fading module is used to generate multipath fading according to the network environment of initialization, generates channel matrix.
Interference module is used for interference calculation, the position of each base station and wireless remote according to deployment, the setting of antenna, use
Interference suffered by the current position in family and current each user of decline map calculation.
Scheduling of resource module, the base station of deployment and wireless remote receive user feedback and independently according to user feedback to every
Individual user distributes running time-frequency resource, carries out scheduling of resource.
Power distribution module, the base station of deployment and wireless remote are used to give each time/frequency source block distribution power；
Precoding module is used to generate pre-coding matrix, and base station and wireless remote select precoding square according to user feedback
Battle array.
Link measurement module is one of nucleus module of the system level emulation platform, user's ten module output according to more than
Data link is measured, obtain letter on each Resource Block and dry ratio, calculated most further according to the Resource Block being assigned to
Good channel quality reporting, and result is fed back into base station or wireless remote.
User's optimal channel quality report adjustment modulation methods that link circuit self-adapting module is calculated according to link measurement module
Formula and code rate.
Link performance module is another nucleus module of the system level emulation platform, is calculated according to link measurement module
User's optimal channel quality report calculate Block Error Rate, calculate handling capacity further according to Signal to Interference plus Noise Ratio.
Block Error Rate module, throughput module statistics of error rate and handling capacity, and show Block Error Rate with graphic user interface
Curve and throughput curve, intuitively show simulation result.
The present invention devises a kind of LTE-A systems for convenience of the algorithm simulating checking in LTE-A researchs and System Performance Analysis
Irrespective of size emulation platform.The design of this platform employs the thought of object-oriented, in MATLAB design realize, by user, base station,
Wireless remote, scheduler, channel, antenna and fading model it is abstract be class, and assign corresponding attribute and method.To realize LTE-
A system integration projects, the present invention devises 3 modules, including system initialization module, network simulation module and systematic function mould
Block.
System integration project platform realizes flow referring to shown in Fig. 2,
S11：The parameters such as scene set, network topology.
S12：On-premise network environment, generates map, disposes base station and wireless remote, the random generation user in map.
S13：Base station and wireless remote are separate, and respective antenna configuration, resource grid and scheduler are initialized respectively.
S14：Corresponding large scale decline, antenna gain and shadow fading are calculated at every place of map
With the time to drive, user is moved in the simulation time of setting, downlink data transmission etc. is emulated.Every
Main flow in individual simulation time interval is completed by following steps：
S21：User moves, and mobile management module judges whether user moves out map, if moving out map, in map
In random generation user again.
S22：In each simulation time interval, multipath fading module calculates multipath fading, with reference to large scale decline, day
Line gain and shadow fading generation channel matrix.
S23：Base station and wireless remote receive user feedback.
S24：Base station and wireless remote scheduling user, distribute Resource Block, and optimum channel is calculated in link measurement module
Quality report, user is sent to by scheduling result by signaling.
S25：User measures current letter and dries ratio according to channel status, is dried according to the letter on each Resource Block more optimal than calculating
Channel quality reporting, and result is fed back into base station or wireless remote.
S26：Base station and wireless remote are reported according to the optimal channel quality of user feedback in link circuit self-adapting module and adjusted
Modulation system and code rate.
S27：User receives base station or wireless remote signaling, and block by mistake is calculated according to scheduling result and optimal channel quality report
Rate, dries ratio and further obtains handling capacity further according to letter.
S31：Base station and wireless remote are multiple imitative according to the Block Error Rate in each simulation time interval and throughput statistics
The Block Error Rate and handling capacity of true time interval, and the emulation of system level Block Error Rate performance and throughput performance is worth to according to statistics
As a result.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, these improvements and modifications
Should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of lte-a system level emulation platform, it is characterised in that including：
System initialization module：For on-premise network environment and random generation user, wherein the base station disposed and wireless remote are gathered around
There are different Cell Identity CIs and separate, resource grid and scheduler are initialized respectively and decline map is generated；
Network simulation module：Decline management map for the network environment according to deployment, the user of random generation and generation is used
Family and running of the analog network in a simulation time interval, and calculate Block Error Rate in each simulation time interval
And handling capacity, wherein base station and wireless remote each distributes running time-frequency resource, carries out scheduling of resource；
Systematic function module：United according to the Block Error Rate in each simulation time interval and handling capacity for base station and wireless remote
The Block Error Rate and handling capacity of the multiple simulation time intervals of meter, and system level Block Error Rate performance and handling capacity are worth to according to statistics
The simulation result of energy.
2. lte-a system according to claim 1 level emulation platform, it is characterised in that the system initialization module bag
Include：
Network design module：For on-premise network environment and random generation user, wherein the base station disposed and wireless remote possess
Different Cell Identity CI and separate, initializes resource grid and scheduler respectively；
Large scale decline module：For according to the network environment generation large scale decline map after initialization；
Anneta module：For generating antenna gain according to the network environment after initialization；
Shadow fading module：For generating shadow fading map according to the network environment after initialization.
3. lte-a system according to claim 1 level emulation platform, it is characterised in that the network simulation module includes：
Mobile management module：Translational speed, moving direction and moving range for managing the user of random generation；
Multipath fading module：Multipath fading is generated for the network environment according to initialization, channel matrix is generated；
Interference module：For interference calculation, setting, the user of the position, antenna of each base station and wireless remote according to deployment
Interference suffered by current position and current each user of decline map calculation；
Scheduling of resource module：The base station of deployment and wireless remote receive user feedback and independently according to user feedback give each use
Running time-frequency resource is distributed at family, carries out scheduling of resource；
Power distribution module：The base station of deployment and wireless remote are used to give each time/frequency source block distribution power；
Precoding module：For generating pre-coding matrix, base station and wireless remote select pre-coding matrix according to user feedback；
Link measurement module：For communication link quality measurement, user is according to claim 2 and the above-mentioned module of present claims
The data for being transmitted through are measured to link, are calculated the letter on each Resource Block and are dried ratio, further according to the resource that user is assigned to
Block calculates optimal channel quality report, and optimal channel quality report is fed back into base station or wireless remote；
Link circuit self-adapting module：For according to optimal channel quality report adjustment modulation system and the code rate for calculating；
Link performance module：For being calculated in a simulation time according to the optimal channel quality report for calculating and Signal to Interference plus Noise Ratio
Block Error Rate and handling capacity in interval.
4. lte-a system according to claim 1 level emulation platform, it is characterised in that the systematic function module includes：
Block Error Rate module：For the mistake block according to the BLER statistic multiple simulation time interval in each simulation time interval
Rate, the simulation result of system level Block Error Rate performance is drawn according to statistical value；
Throughput module：For handling up according to the throughput statistics multiple simulation time interval in each simulation time interval
Amount, the simulation result of system-level throughput performance is drawn according to statistical value.
5. the implementation method of a kind of lte-a system level emulation platform, it is characterised in that comprise the following steps：
On-premise network environment and random generation user, wherein the base station disposed and wireless remote possess different Cell Identity CIs and
It is separate, resource grid and scheduler are initialized respectively and generate decline map；
Network environment, the user of random generation and the decline management map user of generation and analog network according to deployment is at one
Running in simulation time interval, calculates Block Error Rate in each simulation time interval and handling capacity, wherein base station and
Wireless remote each distributes running time-frequency resource, carries out scheduling of resource；
Base station and wireless remote are according between the Block Error Rate in each simulation time interval and throughput statistics multiple simulation time
Every Block Error Rate and handling capacity, and the simulation result of system level Block Error Rate performance and throughput performance is worth to according to statistics.
6. a kind of implementation method of lte-a system level emulation platform according to claim 5, it is characterised in that the portion
Administration's network environment and random generation user, wherein the base station disposed and wireless remote possess different Cell Identity CIs and mutually solely
Vertical, resource grid and scheduler are initialized respectively and decline map is generated includes：
On-premise network environment and random generation user, wherein the base station disposed and wireless remote possess different Cell Identity CIs and
It is separate, resource grid and scheduler are initialized respectively；
According to the network environment generation large scale decline map after initialization；
Antenna gain is generated according to the network environment after initialization；
Shadow fading map is generated according to the network environment after initialization.
7. the implementation method of a kind of lte-a system level emulation platform according to claim 5, it is characterised in that described
According to the network environment of deployment, the decline management map user of the user of random generation and generation and analog network when emulating for one
Between running in interval, calculate Block Error Rate in each simulation time interval and handling capacity, wherein base station and radio remote
Running time-frequency resource is each distributed at end, and carrying out scheduling of resource includes：
Manage translational speed, moving direction and the moving range of the user of random generation；
Network environment according to initialization generates multipath fading, generates channel matrix；
Interference calculation is carried out, the position of each base station and wireless remote according to deployment, the current position of the setting of antenna, user
With the interference suffered by current each user of decline map calculation；
The base station of deployment and wireless remote receive user feedback and independently distribute time-frequency to each user according to user feedback and provide
Source, carries out scheduling of resource；
The base station of deployment and wireless remote give each time/frequency source block distribution power；
Generation pre-coding matrix, base station and wireless remote select pre-coding matrix according to user feedback；
Measurement communication link quality, user according to the above-mentioned module of claim 6 and present claims be transmitted through come data to chain
Road is measured, and calculates the letter on each Resource Block and dries ratio, and optimal channel quality is calculated further according to the Resource Block being assigned to
Report, and result is fed back into base station or wireless remote；
According to the optimal channel quality report adjustment modulation system and the code rate that calculate；
Calculate in a simulation time interval Block Error Rate and handle up according to the optimal channel quality report for calculating and Signal to Interference plus Noise Ratio
Amount.
8. a kind of implementation method of lte-a system level emulation platform according to claim 5, it is characterised in that the base
Stand and wireless remote is according to the Block Error Rate in each simulation time interval and the mistake of throughput statistics multiple simulation time interval
Block rate and handling capacity simultaneously include according to the simulation result that statistics is worth to system level Block Error Rate performance and throughput performance：
According to the Block Error Rate of the BLER statistic multiple simulation time interval in each simulation time interval, obtained according to statistical value
To the simulation result of system level Block Error Rate performance；
According to the handling capacity of the throughput statistics multiple simulation time interval in each simulation time interval, obtained according to statistical value
To the simulation result of system-level throughput performance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710292379.1A CN106879000B (en) | 2017-04-28 | 2017-04-28 | A kind of lte-a system grade emulation platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710292379.1A CN106879000B (en) | 2017-04-28 | 2017-04-28 | A kind of lte-a system grade emulation platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106879000A true CN106879000A (en) | 2017-06-20 |
| CN106879000B CN106879000B (en) | 2019-06-21 |
Family
ID=59161726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710292379.1A Active CN106879000B (en) | 2017-04-28 | 2017-04-28 | A kind of lte-a system grade emulation platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106879000B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111954244A (en) * | 2020-08-04 | 2020-11-17 | 工业互联网创新中心（上海）有限公司 | 5G signal simulation method and device, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090019335A1 (en) * | 2007-07-10 | 2009-01-15 | Sun Microsystems, Inc. | Auxiliary path iterative decoding |
| CN102026259A (en) * | 2010-12-06 | 2011-04-20 | 西安交通大学 | System level simulation method for CoMP (coordinated multi-point) technique in LTE-A (long term evolution-advanced) system |
| EP2479915A1 (en) * | 2009-09-18 | 2012-07-25 | Fujitsu Limited | Method and device for generating pre-coding matrix codebook |
| CN106027184A (en) * | 2016-07-01 | 2016-10-12 | 东南大学 | Link level to system level simulation interface method based on LTE-A |
-
2017
- 2017-04-28 CN CN201710292379.1A patent/CN106879000B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090019335A1 (en) * | 2007-07-10 | 2009-01-15 | Sun Microsystems, Inc. | Auxiliary path iterative decoding |
| EP2479915A1 (en) * | 2009-09-18 | 2012-07-25 | Fujitsu Limited | Method and device for generating pre-coding matrix codebook |
| CN102026259A (en) * | 2010-12-06 | 2011-04-20 | 西安交通大学 | System level simulation method for CoMP (coordinated multi-point) technique in LTE-A (long term evolution-advanced) system |
| CN106027184A (en) * | 2016-07-01 | 2016-10-12 | 东南大学 | Link level to system level simulation interface method based on LTE-A |
Non-Patent Citations (2)
| Title |
|---|
| 张清华: "LTE_A下行链路级仿真及与系统仿真接口方法", 《中国优秀硕士学位论文全文数据库》 * |
| 陈月云: "MIMO_OFDM系统多播无线资源管理研究", 《中国博士学位论文全文数据库》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111954244A (en) * | 2020-08-04 | 2020-11-17 | 工业互联网创新中心（上海）有限公司 | 5G signal simulation method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106879000B (en) | 2019-06-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jao et al. | WiSE: a system-level simulator for 5G mobile networks | |
| CN102113395B (en) | Method of joint resource allocation and clustering of base stations | |
| WO2012037643A1 (en) | System and method for co-channel interference measurement and managed adaptive resource allocation for wireless backhaul | |
| CN105916198B (en) | Resource allocation and Poewr control method based on efficiency justice in a kind of heterogeneous network | |
| CN106060872B (en) | A kind of heuristic proportional fair dispatching method that D2D coexists with cellular network | |
| Abouelseoud et al. | The effect of human blockage on the performance of millimeter-wave access link for outdoor coverage | |
| Blume et al. | Energy efficiency of lte networks under traffic loads of 2020 | |
| CN106612136A (en) | Downlink data transmission method, device and system | |
| CN107896125A (en) | A kind of safe transmission method of physical layer of full dimension multiple antennas SWIPT systems | |
| CN108631891A (en) | The measurement method and device of link between communication node | |
| An et al. | Trajectory optimization and power allocation algorithm in MBS-assisted cell-free massive MIMO systems | |
| CN104144485B (en) | User equipment ascending power control method in the dual link scene of up-downgoing separation | |
| CN103619066B (en) | Method for distributing downlink interference mitigation based on distributed channel | |
| CN106254050B (en) | Extensive mimo system dynamic pilot allocation method based on large scale information | |
| CN108882352A (en) | A kind of downlink NOMA power distribution method that the weight rate based on non-perfect SIC is optimal | |
| Abouelseoud et al. | System level performance of millimeter-wave access link for outdoor coverage | |
| CN106879000B (en) | A kind of lte-a system grade emulation platform | |
| CN108462975A (en) | Power and temporal joint distribution method in D2D wireless power communication networks | |
| CN104902574A (en) | Antenna selection and power distribution method based on energy efficiency | |
| CN103634834B (en) | Parallel structure based coordinated network system-level simulation method | |
| CN106255138B (en) | Taking under isomery fading channel can transmit multi-user dispatching method | |
| CN107135512A (en) | A kind of Remote Radio Unit merges cell uplink capacity boost method and system | |
| CN102065445A (en) | Simulation system and method for realizing wireless network communication rate coverage | |
| CN104684064B (en) | A kind of up and down power distribution method of multiple cell multi-user MIMO system | |
| Tseng et al. | Set cover problem of coverage planning in LTE-Advanced relay networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |