CN106879000B - A kind of lte-a system grade emulation platform - Google Patents

A kind of lte-a system grade emulation platform Download PDF

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CN106879000B
CN106879000B CN201710292379.1A CN201710292379A CN106879000B CN 106879000 B CN106879000 B CN 106879000B CN 201710292379 A CN201710292379 A CN 201710292379A CN 106879000 B CN106879000 B CN 106879000B
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module
wireless remote
base station
error rate
block error
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CN106879000A (en
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陈月云
王新哲
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University of Science and Technology Beijing USTB
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University of Science and Technology Beijing USTB
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution

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  • 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 grade emulation platform, helps to realize the heterogeneous network system integration project under base station and the mutually indepedent scene of wireless remote.The system comprises three modules: system initialization module, network simulation module and system performance module.Wherein, system initialization module is for on-premise network environment and random generation user, wherein the base station and wireless remote disposed are mutually indepedent, initialize resource grid and scheduler respectively and generates decline map;Network simulation module is used for the operational process according to the network environment analog network of deployment 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;System performance module is used for Block Error Rate and handling capacity according to the calculated Block Error Rate of each simulation time interval and the multiple simulation time intervals of throughput statistics, obtains the simulation result of system level Block Error Rate performance and throughput performance according to statistical value.The invention belongs to wireless communication technology fields.

Description

A kind of lte-a system grade emulation platform
Technical field
The invention belongs to wireless communication technology fields, and in particular to a kind of lte-a system grade emulation platform.
Background technique
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 make a concrete analysis of the corresponding physics of physical link layer by Physical layer modeling from the level of bit data Technology is influenced to link performance bring.System integration project focus focuses primarily upon more higher leveled level, with link simulation Based on, from system level, the performances such as coverage rate, the capacity of analysis system entirety.The purpose of link level simulation be in order to Verifying analysis physical-layer techniques, system emulation are mainly the network planning, cell coordination, scheduling of resource, the offer such as base station selection Reference frame.
At present mostly in system integration project, wireless remote possesses same Cell Identity CI with base station, as just distribution Formula antenna exists, and although base station and wireless remote co-own running time-frequency resource, but the loaded scheduling of resource of institute is all by base It stands completion, wireless remote cannot distribute running time-frequency resource, be unable 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.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of lte-a system grade emulation platforms, to solve prior art institute Existing wireless remote is unable to reach the problem of effect of load balancing is with the supplement to the more scenes of heterogeneous network is lacked with base station.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of lte-a system grade emulation platform, comprising:
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 CI and mutually indepedent, initializes resource grid and scheduler respectively and generates decline map;
Network simulation module: the decline map pipe of user and generation for generating according to the network environment of deployment, at random User and operational process of the analog network in a simulation time interval are managed, the mistake block in each simulation time interval is calculated Rate and handling capacity, wherein base station and wireless remote respectively distribute running time-frequency resource, carry out scheduling of resource;
System performance module: it according to the Block Error Rate in each simulation time interval and handles up for base station and wireless remote The Block Error Rate and handling capacity of the multiple simulation time intervals of amount statistics simultaneously obtain system level Block Error Rate performance according to statistical value and handle up Measure the simulation result of performance.
Further, which is characterized in that the system initialization module includes:
Network deployment module: for on-premise network environment and random generation user, wherein the base station disposed and wireless remote Possess different Cell Identity CI and mutually indepedent, initializes resource grid and scheduler respectively;
Large-scale fading module: for generating large-scale fading map according to the network environment 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: for managing movement speed, moving direction and the moving range of the user generated at random;
Multipath fading module: for generating multipath fading according to the network environment of initialization, channel matrix is generated;
Interference module: being used for interference calculation, according to each base station of deployment and the position of wireless remote, the setting of antenna, The current position of user and interference suffered by 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 A user distributes running time-frequency resource, carries out scheduling of resource;
Power distribution module: the base station of deployment and wireless remote are used for each time/frequency source block distribution power;
Precoding module: precoding square is selected according to user feedback for generating pre-coding matrix, base station and wireless remote Battle array;
Link measurement module: for communication link quality measure, user according to claim 2 and above-mentioned module be transmitted through come Data measure link, calculate the dry ratio of letter on each resource block, calculate further according to the resource block being assigned to best Channel quality reporting, and result is fed back into base station and wireless remote.
Link circuit self-adapting module: for reporting adjustment modulation system and coding speed according to calculated optimal channel quality Rate.
Link performance module: it is emulated for being calculated according to the report of calculated optimal channel quality and Signal to Interference plus Noise Ratio at one Time interval Block Error Rate and handling capacity;
Further, the system performance module includes:
Block Error Rate module: for according to the multiple simulation time intervals of BLER statistic in each simulation time interval Block Error Rate obtains the simulation result of system level Block Error Rate performance according to statistical value;
Throughput module: for according to the multiple simulation time intervals of throughput statistics in each simulation time interval Handling capacity obtains the simulation result of system-level throughput performance according to statistical value.
A kind of lte-a system grade emulation platform provided in an embodiment of the present invention, the system comprises three modules: at the beginning of system Beginningization module, network simulation module and system performance module.Wherein, system initialization module is for on-premise network environment and random User is generated, wherein the base station and wireless remote disposed possess different Cell Identity CI and mutually indepedent, initialization money respectively Source grid and scheduler simultaneously generate decline map;Network simulation module: the use for generating according to the network environment of deployment, at random Family and the decline management map user generated and operational process of the analog network in a simulation time interval, calculate each Block Error Rate and handling capacity in simulation time interval, wherein base station and wireless remote respectively distribute running time-frequency resource, carry out resource tune Degree;System performance module: for base station and wireless remote according to the Block Error Rate and handling capacity system in each simulation time interval It counts the Block Error Rate of multiple simulation time intervals and handling capacity and system level Block Error Rate performance and handling capacity is obtained according to statistical value The simulation result of energy.In this way, can solve the effect that wireless remote present in the prior art is unable to reach load balancing with base station The problem of fruit is with the supplement to the more scenes of heterogeneous network is lacked.
On the other hand, the embodiment of the present invention provides a kind of method based on lte-a system grade emulation platform, comprising:
On-premise network environment, wherein the base station disposed and wireless remote initialize respective resource grid and scheduler, on ground User is generated in figure at random, calculates corresponding large-scale fading, antenna gain, shadow fading at every place of map.
It is driving with the time in each simulation time interval, it is mobile to user in the simulation time of setting and judge to use Whether family moves out map, if moving out map, generates user at random again in map.
Multipath fading is generated according to the network environment of initialization, generates channel matrix;
Interference calculation is carried out, according to each base station of deployment and the position of wireless remote, the setting of antenna, user are current Position and interference suffered by 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, scheduling result is passed through letter Order is sent to user.
In each simulation time interval, user measures the dry ratio of current letter according to channel status.
In each simulation time interval, user is dry 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, adjustment modulation system and coding speed are reported according to the optimal channel quality of 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, further calculates to obtain handling capacity 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, it obtains Simulation result.
In above scheme, system initialization module is for on-premise network environment and random generation user, wherein the base disposed It stands and wireless remote possesses different Cell Identity CI and mutually indepedent, initialize resource grid and scheduler respectively and generate and decline Landing figure;Network simulation module is used for the decline management map of the network environment according to deployment, the user and generation that generate at random User and operational process 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 respectively distribute running time-frequency resource, carry out scheduling of resource;System performance module is used for base station With wireless remote according to the mistake block of Block Error Rate and the multiple simulation time intervals of throughput statistics in each simulation time interval Rate and handling capacity simultaneously obtain the simulation result of system level Block Error Rate performance and throughput performance according to statistical value.In this way, can solve Certainly wireless remote present in the prior art is unable to reach the effect of load balancing with base station and lacks to the more scenes of heterogeneous network Supplement the problem of.
Detailed description of the invention
Fig. 1 is lte-a system grade emulation platform architecture diagram provided in an embodiment of the present invention;
Fig. 2 is system model flow chart provided in an embodiment of the present invention;
Specific embodiment
The present invention is unable to reach the effect of load balancing for wireless remote present in the existing prior art with base station With lack the supplementary question to the more scenes of heterogeneous network, provide a kind of lte-a system grade emulation platform, comprising: system initialization Module, network simulation module and system performance module.
Referring to shown in Fig. 1,
11: on-premise network environment and random generation user, wherein the base station and wireless remote disposed possess different cells Identification number and mutually indepedent, initializes resource grid and scheduler respectively and generates decline map;
12: the decline management map user of the user and generation that generate according to the network environment of deployment, at random simultaneously simulate net Operational process of the network in a simulation time interval calculates Block Error Rate and handling capacity in a simulation time interval, Middle base station and wireless remote respectively distribute running time-frequency resource, carry out scheduling of resource;
13: base station and wireless remote according in each simulation time interval Block Error Rate and the multiple emulation of throughput statistics The Block Error Rate and handling capacity of time interval simultaneously show simulation result.
In specific embodiment above-mentioned, further, system initialization module has four submodules: network deployment Module, large-scale fading module, Anneta module and shadow fading module;Network simulation module has nine submodules: moving tube Manage 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;System performance module has two submodules: Block Error Rate module and handling up Measure module.
Network deployment module is used for the deployment of network environment, completes to generate map, affixes one's name to base station location and nothing in mid-map Line remote location initializes respectively wherein the base station and wireless remote disposed possess different Cell Identity CI and mutually indepedent Resource grid and scheduler.
Large-scale fading module is used to generate large-scale fading map according to the network environment 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 to manage movement speed, moving direction and the moving range of the user generated at random.
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, and according to each base station of deployment and the position of wireless remote, the setting of antenna is used The current position in family and interference suffered by 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 A user distributes running time-frequency resource, carries out scheduling of resource.
Power distribution module, the base station of deployment and wireless remote are used for each time/frequency source block distribution power;
Precoding module selects precoding square according to user feedback for generating pre-coding matrix, base station and wireless remote Battle array.
Link measurement module is one of the nucleus module of this system grade emulation platform, and user exports according to above ten modules Data link is measured, obtain the dry ratio of letter on each resource block, 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.
Link circuit self-adapting module is according to the calculated user's optimal channel quality report adjustment modulation methods of link measurement module Formula and code rate.
Link performance module is another nucleus module of this system grade 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 Block Error Rate is shown with graphic user interface Curve and throughput curve, intuitively show simulation result.
The present invention verifies for convenience of the algorithm simulating in LTE-A research and System Performance Analysis, devises a kind of LTE-A system Irrespective of size emulation platform.This platform design use object-oriented thought, in MATLAB design realize, by user, base station, Wireless remote, scheduler, channel, antenna and fading model are abstracted as class, and assign corresponding attribute and method.To realize LTE- A system integration project, the present invention devise 3 modules, including system initialization module, network simulation module and system performance mould Block.
The implementation process of system integration project platform 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, generates user at random in map.
S13: base station and wireless remote are mutually indepedent, initialize respective antenna configuration, resource grid and scheduler respectively.
S14: corresponding large-scale fading, antenna gain and shadow fading are calculated at every place of map
It is driving with the time, mobile to user in the simulation time of setting, downlink data transmission etc. is emulated.Every Main flow in a simulation time interval is completed by following steps:
S21: user is mobile, and mobile management module judges whether user moves out map, if map is moved out, in map In again at random generate user.
S22: in each simulation time interval, multipath fading module calculates multipath fading, in conjunction with large-scale fading, day Line gain and shadow fading generate channel matrix.
S23: base station and wireless remote receive user feedback.
S24: base station and wireless remote dispatch user, distribute resource block, calculate optimum channel in link measurement module Scheduling result is sent to user by signaling by quality report.
S25: user measures the dry ratio of current letter according to channel status, dry more best than calculating according to the letter on each resource block 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 are adjusted Modulation system and code rate.
S27: user receives base station or wireless remote signaling, calculates accidentally block according to scheduling result and optimal channel quality report Rate further obtains handling capacity further according to the dry ratio of letter.
S31: base station and wireless remote according in each simulation time interval Block Error Rate and throughput statistics it is multiple imitative 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 obtained according to statistical value As a result.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications It should be regarded as protection scope of the present invention.

Claims (7)

1. a kind of lte-a system grade emulation platform characterized by comprising
System initialization module: for on-premise network environment and random generation user, wherein the base station and wireless remote disposed are gathered around There is different Cell Identity CI and mutually indepedent, initializes resource grid and scheduler respectively and generate decline map;
Network simulation module: the decline management map of user and generation for generating according to the network environment of deployment, at random are used Family and operational process of the analog network in a simulation time interval, and Block Error Rate is calculated in each simulation time interval And handling capacity, wherein base station and wireless remote respectively distribute running time-frequency resource, carry out scheduling of resource;
System performance module: for base station and wireless remote according to the Block Error Rate and handling capacity system in each simulation time interval The Block Error Rate and handling capacity of multiple simulation time intervals are counted, and system level Block Error Rate performance and handling capacity are obtained according to statistical value The simulation result of energy.
2. lte-a system grade emulation platform according to claim 1, which is characterized in that the system initialization module packet It includes:
Network deployment module: for on-premise network environment and random generation user, wherein the base station and wireless remote disposed possess Different Cell Identity CI and mutually indepedent, initializes resource grid and scheduler respectively;
Large-scale fading module: for generating large-scale fading map according to the network environment 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 grade emulation platform according to claim 1, which is characterized in that the network simulation module includes:
Mobile management module: for managing movement speed, moving direction and the moving range of the user generated at random;
Multipath fading module: for generating multipath fading according to the network environment of initialization, channel matrix is generated;
Interference module: it is used for interference calculation, according to each base station of deployment and the position of wireless remote, the setting of antenna, user Interference suffered by current position and each user of decline map calculation currently;
Scheduling of resource module: the base station of deployment and wireless remote receive user feedback and independently according to user feedback to 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 for each time/frequency source block distribution power;
Precoding module: pre-coding matrix is selected according to user feedback for generating pre-coding matrix, base station and wireless remote;
Link measurement module: measuring for communication link quality, and user is according to the above-mentioned module of claim 2 and present claims It is transmitted through the data come to measure link, calculates the dry ratio of letter on each resource block, the resource being assigned to further according to user Block calculates optimal channel quality report, and optimal channel quality report is fed back to base station or wireless remote;
Link circuit self-adapting module: for reporting adjustment modulation system and code rate according to calculated optimal channel quality;
Link performance module: for being calculated according to the report of calculated optimal channel quality and Signal to Interference plus Noise Ratio in a simulation time Block Error Rate and handling capacity in interval.
4. lte-a system grade emulation platform according to claim 1, which is characterized in that the system performance module includes:
Block Error Rate module: for the mistake block according to the multiple simulation time intervals of BLER statistic in each simulation time interval Rate obtains the simulation result of system level Block Error Rate performance according to statistical value;
Throughput module: for handling up according to the multiple simulation time intervals of throughput statistics in each simulation time interval Amount, the simulation result of system-level throughput performance is obtained according to statistical value.
5. a kind of implementation method of lte-a system grade emulation platform, which comprises the following steps:
On-premise network environment and it is random generate user, wherein the base station and wireless remote disposed possess different Cell Identity CIs and Independently of each other, resource grid and scheduler are initialized respectively and generate decline map;
According to the network environment of deployment, at random the decline management map user of the user and generation that generate and analog network is at one Operational process in simulation time interval calculates Block Error Rate and handling capacity in each simulation time interval, wherein base station and Wireless remote respectively 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 the multiple simulation times of throughput statistics Every Block Error Rate and handling capacity, and the simulation result of system level Block Error Rate performance and throughput performance is obtained according to statistical value.
6. a kind of implementation method of lte-a system grade emulation platform according to claim 5, which is characterized in that the portion Affix one's name to network environment and it is random generate user, wherein the base station and wireless remote disposed possess different Cell Identity CI and mutually solely It is vertical, resource grid and scheduler are initialized respectively and generates decline map includes:
On-premise network environment and it is random generate user, wherein the base station and wireless remote disposed possess different Cell Identity CIs and Independently of each other, resource grid and scheduler are initialized respectively;
Large-scale fading map is generated according to the network environment 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. a kind of implementation method of lte-a system grade emulation platform according to claim 5, which is characterized in that the base The mistake stood with wireless remote according to Block Error Rate and the multiple simulation time intervals of throughput statistics in each simulation time interval Block rate and handling capacity simultaneously according to the simulation result that statistical value obtains system level Block Error Rate performance and throughput performance include:
According to the Block Error Rate of the multiple simulation time intervals of BLER statistic 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 multiple simulation time intervals of throughput statistics in each simulation time interval, obtained according to statistical value To the simulation result of system-level throughput performance.
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