CN113784412B - Communication network vertical switching method and device for complex platform area environment - Google Patents
Communication network vertical switching method and device for complex platform area environment Download PDFInfo
- Publication number
- CN113784412B CN113784412B CN202111323396.XA CN202111323396A CN113784412B CN 113784412 B CN113784412 B CN 113784412B CN 202111323396 A CN202111323396 A CN 202111323396A CN 113784412 B CN113784412 B CN 113784412B
- Authority
- CN
- China
- Prior art keywords
- signal
- network
- signal intensity
- switching
- trend
- 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.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/22—Alternate routing
-
- 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
- H04W36/00—Hand-off or reselection arrangements
- H04W36/14—Reselecting a network or an air interface
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
A communication network vertical switching method and device facing to a complex platform area environment relates to the communication field, and the communication network vertical switching method facing to the complex platform area environment comprises the following steps: firstly, acquiring a network signal of a current network; then, performing trend detection on the signal intensity of the network signal to obtain a trend detection result; when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the network signals to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network; and when the first signal strength is smaller than the first switching threshold value of the current network and the second signal strength is larger than the second switching threshold value of the target network, switching the network signal to the target network for transmission, so that the switching accuracy and switching efficiency of a plurality of communication networks can be improved, the switching times of heterogeneous networks are reduced, and the utilization rate of network resources is improved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for vertical handover of a communication network in a complex cell environment.
Background
In a complex cell environment, network communication methods such as power line carrier, micro-power radio, RS485, and the like are generally used. However, communication nodes in a complex platform area environment usually have the characteristics of complexity and changeability, and once basic equipment is changed, the complexity degree of a topology structure of the platform area is increased, the unknown degree is increased, the changeability degree is increased, and the medium change is increased, so that higher requirements are put forward on a communication network. Based on this, in order to improve the collection rate and success rate of the user power consumption information, a person in the art has started to use a dual-mode communication collection method, but due to many limitations in the aspects of channel characteristics and the like, the switching accuracy and switching efficiency of two communication networks are low, and the performance of the two communication networks cannot be fully exerted.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for vertical handover of a communication network in a complex platform area environment, which can improve handover accuracy and handover efficiency of multiple communication networks, thereby reducing handover times of heterogeneous networks and further facilitating improvement of a utilization rate of network resources.
A first aspect of the embodiments of the present application provides a method for vertical handover of a communication network in a complex platform area environment, including:
acquiring a network signal of a current network;
performing trend detection on the signal intensity of the network signal to obtain a trend detection result;
when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to a target network;
and when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network, switching the network signal to the target network for transmission.
In the implementation process, a network signal of a current network is obtained firstly; then, performing trend detection on the signal intensity of the network signal to obtain a trend detection result; when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the network signals to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network; and when the first signal strength is smaller than the first switching threshold value of the current network and the second signal strength is larger than the second switching threshold value of the target network, switching the network signal to the target network for transmission, so that the switching accuracy and switching efficiency of a plurality of communication networks can be improved, the switching times of heterogeneous networks are reduced, and the utilization rate of network resources is improved.
Further, the step of performing trend detection on the signal strength of the network signal to obtain a trend detection result includes:
acquiring a historical signal corresponding to the network signal;
performing discrete Fourier transform on the signal intensity of the historical signal to obtain an imaginary part result of the Fourier transform;
calculating a mathematical expectation of the imaginary result;
determining a trend detection result of the network signal according to the positive and negative of the mathematical expected value; wherein, the positive mathematical expectation value is used for indicating that the trend detection result is an ascending trend, and the negative mathematical expectation value is used for indicating that the trend detection result is a decaying trend.
Further, the step of performing discrete fourier transform on the signal strength of the historical signal to obtain an imaginary part result of the fourier transform includes:
performing discrete Fourier transform on the signal intensity of the historical signal according to a preset imaginary part calculation formula to obtain an imaginary part result of the Fourier transform;
the preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, X1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
Further, the step of predicting the signal strength at the next time according to the network signal to obtain a first signal strength corresponding to the current network and a second signal strength corresponding to the target network includes:
and predicting the signal intensity at the next moment according to the forward difference prediction and the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network.
Further, after the step of acquiring the network signal of the current network, the method further includes:
acquiring a historical signal corresponding to the network signal;
calculating a signal intensity mean value according to the signal intensity of the historical signal;
judging whether the signal intensity mean value is larger than a preset cut-in threshold value of the target network or not;
and when the signal intensity mean value is larger than the preset cut-in threshold value, executing the step of carrying out trend detection on the signal intensity of the network signal to obtain a trend detection result.
A second aspect of the embodiments of the present application provides a communication network vertical handover device for a complex platform area environment, where the communication network vertical handover device for the complex platform area environment includes:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a network signal of a current network;
the detection unit is used for carrying out trend detection on the signal intensity of the network signal to obtain a trend detection result;
the prediction unit is used for predicting the signal intensity at the next moment according to the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to a target network when the trend detection result is an ascending trend;
and the switching unit is used for switching the network signal to the target network for transmission when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network.
In the implementation process, the acquisition unit acquires a network signal of a current network; then the detection unit carries out trend detection on the signal intensity of the network signal to obtain a trend detection result; when the trend detection result is an ascending trend, the prediction unit predicts the signal intensity at the next moment according to the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network; and when the first signal intensity is smaller than the first switching threshold value of the current network and the second signal intensity is larger than the second switching threshold value of the target network, the switching unit switches the network signal to the target network for transmission, so that the switching accuracy and the switching efficiency of a plurality of communication networks can be improved, the switching times of heterogeneous networks are reduced, and the utilization rate of network resources is improved.
Further, the detection unit includes:
a first subunit, configured to acquire a history signal corresponding to the network signal;
the second subunit is used for performing discrete Fourier transform on the signal intensity of the historical signal to obtain an imaginary part result of the Fourier transform;
a third subunit, configured to calculate a mathematical expected value of the imaginary result;
the fourth subunit is used for determining a trend detection result of the network signal according to the positive and negative of the mathematical expected value; wherein, the positive mathematical expectation value is used for indicating that the trend detection result is an ascending trend, and the negative mathematical expectation value is used for indicating that the trend detection result is a decaying trend.
Further, the second subunit is specifically configured to perform discrete fourier transform on the signal intensity of the historical signal according to a preset imaginary part calculation formula to obtain an imaginary part result of the fourier transform;
the preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, X1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
A third aspect of the embodiments of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for vertically switching a communication network facing a complex station area environment according to any one of the first aspect of the embodiments of the present application.
A fourth aspect of the present embodiment provides a computer-readable storage medium, which stores computer program instructions, where the computer program instructions, when read and executed by a processor, perform the method for vertical handover of a communication network to a complex platform area environment according to any one of the first aspect of the present embodiment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a vertical handover method of a communication network for a complex platform area environment according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another method for vertical handover of a communication network in a complex cell environment according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vertical switching device of a communication network facing a complex platform area environment according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another vertical handover apparatus of a communication network facing a complex cell environment according to an embodiment of the present application;
fig. 5 is a system architecture diagram of a heterogeneous network model according to an embodiment of the present application;
fig. 6 is a schematic diagram of a network handover time curve according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a schematic flowchart of a vertical handover method of a communication network for a complex cell environment according to an embodiment of the present disclosure. The communication network vertical switching method facing the complex platform area environment comprises the following steps:
s101, acquiring a network signal of the current network.
In the embodiment of the present application, the network signal of the current network includes a micro-power wireless network signal (MPWNet signal), and the like, which is not limited to this embodiment.
And S102, performing trend detection on the signal intensity of the network signal to obtain a trend detection result.
In the embodiment of the present application, to detect the unavailability and the attenuation of the MPWNet signal, a signal trend detection method based on DFT may be adopted, which is not limited to the embodiment of the present application.
As an alternative implementation, performing trend detection on the signal strength of the network signal to obtain a trend detection result may include the following steps:
carrying out discrete Fourier transform processing on the network signal to obtain a result of a transformed imaginary part;
calculating a mathematical expectation value of the result of the imaginary part of the transformation;
judging whether the mathematical expected value is positive or not;
if so, determining the trend detection result as a signal rising trend;
and if not, determining that the trend detection result is an attenuation signal trend.
In the above-described embodiments, the unavailability and the attenuation of the network signal may be judged by the DFT-based signal trend detection method.
S103, when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the network signals to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network.
In the embodiment of the application, according to the network state of the target network, the network signal is subjected to simulation prediction, and the second signal intensity corresponding to the target network is obtained.
And S104, when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network, switching the network signal to the target network for transmission.
In the embodiment of the present application, the execution subject of the method may be a computing device such as a computer and a server, and is not limited in this embodiment.
In this embodiment, an execution subject of the method may also be an intelligent device such as a smart phone and a tablet computer, which is not limited in this embodiment.
It can be seen that, by implementing the method for vertically switching a communication network facing a complex platform area environment described in this embodiment, the switching accuracy and switching efficiency of multiple communication networks can be improved, so that the switching times of heterogeneous networks are reduced, and the utilization rate of network resources is further improved.
Example 2
Referring to fig. 2, fig. 2 is a schematic flowchart of another method for vertical handover of a communication network in a complex cell environment according to an embodiment of the present application. As shown in fig. 2, the method for vertically switching a communication network facing a complex cell environment includes:
s201, acquiring a network signal of the current network.
S202, acquiring a historical signal corresponding to the network signal.
And S203, calculating a signal intensity mean value according to the signal intensity of the historical signal.
After step S203, the following steps are also included:
s204, judging whether the signal intensity mean value is larger than a preset cut-in threshold value of the target network, if so, executing the step S205-step S210; if not, the flow is ended.
In the embodiment of the present application, the preset cut-in threshold of the target network is preset, and the embodiment of the present application is not limited thereto.
S205, acquiring a historical signal corresponding to the network signal.
In the embodiment of the present application, when steps S202 to S204 occur before steps S205 to S208, after the step S202 acquires the history signal corresponding to the network signal, the step S205 may not acquire the history signal again, and the history signal acquired in step S202 may be directly used, or the history signal may be acquired again, but both of them may acquire the same history signal corresponding to the network signal.
Specifically, the history signals acquired in step S205 are history signals of the past N times, including signals of the network signals at 0-N-1 times.
After step S205, the following steps are also included:
s206, performing discrete Fourier transform on the signal intensity of the historical signal to obtain an imaginary part result of the Fourier transform.
As an alternative embodiment, discrete fourier transform is performed on the signal strength of the historical signal according to a preset imaginary part calculation formula, so as to obtain an imaginary part result of fourier transform.
The preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, and X (k) is1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
And S207, calculating the mathematical expected value of the imaginary part result.
In the embodiment of the present application, the mathematical expected value is X1Expected value of E [ X ]1]According to E [ X ]1]Can detect X (k) trend, wherein E [ X ]1]A positive value indicates a rising trend of the signal, and E [ X ]1]Negative values indicate a trend of the attenuated signal.
And S208, determining a trend detection result of the network signal according to the positive and negative of the mathematical expected value.
In the embodiment of the present application, when the mathematical expectation value is a positive value, the trend detection result is an ascending trend, and when the mathematical expectation value is a negative value, the trend detection result is an attenuation trend.
In the embodiment of the present application, by implementing the steps S206 to S208, the signal strength of the network signal can be subjected to trend detection, so as to obtain a trend detection result.
And S209, when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the forward difference prediction and the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network.
In the embodiment of the application, a forward difference prediction method is adopted to predict the signal at the next moment, a decision-making link is added, and whether the node needs to be accessed to a target network is judged, so that the switching and fusion of heterogeneous networks can be more effectively carried out, and the ping-pong effect can be effectively reduced.
In the embodiment of the application, a forward differential prediction method is adopted, which can accurately predict the RSS (received signal strength) at the next moment; specifically, the signal prediction formula is as follows:
RSS（k+1）= RSS（k）- RSS（k-1）；
where RSS (k) is the current signal strength, RSS (k-1) is the signal strength of the previous time, and RSS (k + 1) is the predicted signal strength value of the signal at the next time.
In the embodiment of the present invention, the step S209 is performed to predict the signal strength at the next time from the network signal, and obtain the first signal strength corresponding to the current network and the second signal strength corresponding to the target network.
S210, when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network, switching the network signal to the target network for transmission.
In the embodiment of the present application, network switching is performed when the following conditions are satisfied: the signal strength is judged first, and if the average RSS value of the current network RSS _ t is larger than the cut-in threshold RSS _ th, network switching is carried out. And then, judging by a signal trend detection method based on DFT, and if the network signal of the current network has an ascending trend, further adopting a forward difference prediction algorithm to carry out prediction judgment. And if the first signal intensity is less than the first switching threshold value of the current network and the second signal intensity is greater than the second switching threshold value of the target network, switching the network signal to the target network for transmission.
In the embodiment of the application, signal trend detection based on DFT is adopted to detect the unavailability and attenuation of MPWNet signals, and then when the availability and enhancement of MPWNet are detected, the RSS (received signal strength) of the signals at the next moment is accurately predicted through a forward differential prediction algorithm, so as to decide whether to access the target network.
In the embodiment of the present application, for example, a vertical network coverage architecture (i.e., an architecture of a heterogeneous network model) is shown in fig. 5, and fig. 5 is a system architecture schematic diagram of a heterogeneous network model provided in the embodiment of the present application, as shown in fig. 5, the heterogeneous network model includes a Power Line Communication (PLC) network and two micro Power wireless networks (mpwnets), i.e., a micro Power wireless channel 1 and a micro Power wireless channel 2, where relevant parameters of the vertical network model are shown in table 1.
The coordinates of the central node of the power line communication network are set to (0, 0), and the coordinates of the central nodes of the network of the micropower wireless channel 1 and the micropower wireless channel 2 are set to (300, 0), (600, 0) in sequence, so that a network switching frequency curve is obtained as shown in fig. 6, and fig. 6 is a schematic diagram of the network switching frequency curve provided by the embodiment of the present application. As shown in fig. 6, a comparison of the number of handovers for the different algorithms can be seen.
It can be seen that, by implementing the method for vertically switching a communication network facing a complex platform area environment described in this embodiment, the switching accuracy and switching efficiency of multiple communication networks can be improved, so that the switching times of heterogeneous networks are reduced, and the utilization rate of network resources is further improved.
Example 3
Referring to fig. 3, fig. 3 is a schematic structural diagram of a vertical handover apparatus of a communication network facing a complex cell environment according to an embodiment of the present application. As shown in fig. 3, the vertical switching apparatus of a communication network facing a complex station area environment includes:
an obtaining unit 310, configured to obtain a network signal of a current network;
the detecting unit 320 is configured to perform trend detection on the signal strength of the network signal to obtain a trend detection result;
a predicting unit 330, configured to predict, when the trend detection result is an ascending trend, a signal strength at a next time according to the network signal, and obtain a first signal strength corresponding to the current network and a second signal strength corresponding to the target network;
the switching unit 340 is configured to switch the network signal to the target network for transmission when the first signal strength is smaller than a first switching threshold of the current network and the second signal strength is greater than a second switching threshold of the target network.
In the embodiment of the present application, for the explanation of the communication network vertical handover apparatus oriented to the complex platform area environment, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, by implementing the communication network vertical handover apparatus for a complex platform area environment described in this embodiment, handover accuracy and handover efficiency of multiple communication networks can be improved, so that handover times of heterogeneous networks are reduced, and further, the utilization rate of network resources is improved.
Example 4
Referring to fig. 4, fig. 4 is a schematic structural diagram of another vertical handover apparatus of a communication network for a complex cell environment according to an embodiment of the present application. The communication network vertical switching device facing the complex cell environment shown in fig. 4 is optimized by the communication network vertical switching device facing the complex cell environment shown in fig. 3. As shown in fig. 4, the detection unit 320 includes:
a first subunit 321, configured to obtain a history signal corresponding to a network signal;
the second subunit 322 is configured to perform discrete fourier transform on the signal strength of the historical signal to obtain an imaginary part result of the fourier transform;
a third subunit 323, configured to calculate a mathematical expected value of the imaginary result;
a fourth subunit 324, configured to determine a trend detection result of the network signal according to the positive or negative of the mathematical expected value; wherein, the positive mathematical expected value is used for indicating that the trend detection result is an ascending trend, and the negative mathematical expected value is used for indicating that the trend detection result is a decaying trend.
As an optional implementation manner, the second sub-unit 322 is specifically configured to perform discrete fourier transform on the signal intensity of the historical signal according to a preset imaginary part calculation formula to obtain an imaginary part result of the fourier transform;
the preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, and X (k) is1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
As an alternative embodiment, the prediction unit 330 is specifically configured to predict the signal strength at the next time according to the forward difference prediction and the network signal, and obtain a first signal strength corresponding to the current network and a second signal strength corresponding to the target network.
As an optional implementation manner, the obtaining unit 310 is further configured to obtain a history signal corresponding to the network signal after obtaining the network signal of the current network;
a calculating unit 350, configured to calculate a signal strength average value according to the signal strength of the historical signal;
the judging unit 360 is configured to judge whether the signal strength mean value is greater than a preset cut-in threshold of the target network; and when the signal intensity mean value is greater than the preset cut-in threshold value, triggering the detection unit 320 to perform trend detection on the signal intensity of the network signal to obtain a trend detection result.
In the embodiment of the present application, for the explanation of the communication network vertical handover apparatus oriented to the complex platform area environment, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, by implementing the communication network vertical handover apparatus for a complex platform area environment described in this embodiment, handover accuracy and handover efficiency of multiple communication networks can be improved, so that handover times of heterogeneous networks are reduced, and further, the utilization rate of network resources is improved.
An embodiment of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for vertical handover of a communication network to a complex station area environment according to any one of embodiment 1 or embodiment 2 of the present application.
An embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method for performing vertical handover of a communication network to a complex platform area environment according to any one of embodiment 1 or embodiment 2 of the present application is executed.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (9)
1. A communication network vertical switching method facing to a complex platform area environment is characterized by comprising the following steps:
acquiring a network signal of a current network;
acquiring a historical signal corresponding to the network signal;
calculating a signal intensity mean value according to the signal intensity of the historical signal;
judging whether the signal intensity mean value is larger than a preset cut-in threshold value of the target network or not;
when the signal intensity mean value is larger than the preset cut-in threshold value, carrying out trend detection on the signal intensity of the network signal to obtain a trend detection result;
when the trend detection result is an ascending trend, predicting the signal intensity at the next moment according to the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to a target network;
and when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network, switching the network signal to the target network for transmission.
2. The method for vertically switching the communication network facing the complex platform area environment according to claim 1, wherein the step of performing trend detection on the signal strength of the network signal to obtain a trend detection result comprises:
acquiring a historical signal corresponding to the network signal;
performing discrete Fourier transform on the signal intensity of the historical signal to obtain an imaginary part result of the Fourier transform;
calculating a mathematical expectation of the imaginary result;
determining a trend detection result of the network signal according to the positive and negative of the mathematical expected value; wherein, the positive mathematical expectation value is used for indicating that the trend detection result is an ascending trend, and the negative mathematical expectation value is used for indicating that the trend detection result is a decaying trend.
3. The method for vertical handover of a communication network facing a complex cell environment according to claim 2, wherein the step of performing discrete fourier transform on the signal strength of the historical signal to obtain an imaginary part result of the fourier transform comprises:
performing discrete Fourier transform on the signal intensity of the historical signal according to a preset imaginary part calculation formula to obtain an imaginary part result of the Fourier transform;
the preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, X1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
4. The method for vertically switching the communication network facing the complex platform area environment according to claim 1, wherein the step of predicting the signal strength at the next time according to the network signal to obtain the first signal strength corresponding to the current network and the second signal strength corresponding to the target network comprises:
and predicting the signal intensity at the next moment according to the forward difference prediction and the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to the target network.
5. A vertical switching device of a communication network facing a complex platform area environment is characterized in that the vertical switching device of the communication network facing the complex platform area environment comprises:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a network signal of a current network;
the acquisition unit is further used for acquiring a historical signal corresponding to the network signal after acquiring the network signal of the current network;
the computing unit is used for computing a signal intensity mean value according to the signal intensity of the historical signal;
the judging unit is used for judging whether the signal intensity mean value is larger than a preset cut-in threshold value of the target network or not;
the detection unit is used for carrying out trend detection on the signal intensity of the network signal when the signal intensity mean value is larger than a preset cut-in threshold value to obtain a trend detection result;
the prediction unit is used for predicting the signal intensity at the next moment according to the network signal to obtain a first signal intensity corresponding to the current network and a second signal intensity corresponding to a target network when the trend detection result is an ascending trend;
and the switching unit is used for switching the network signal to the target network for transmission when the first signal strength is smaller than a first switching threshold value of the current network and the second signal strength is larger than a second switching threshold value of the target network.
6. The vertical switching device of communication network facing complex platform area environment according to claim 5, wherein said detecting unit comprises:
a first subunit, configured to acquire a history signal corresponding to the network signal;
the second subunit is used for performing discrete Fourier transform on the signal intensity of the historical signal to obtain an imaginary part result of the Fourier transform;
a third subunit, configured to calculate a mathematical expected value of the imaginary result;
the fourth subunit is used for determining a trend detection result of the network signal according to the positive and negative of the mathematical expected value; wherein, the positive mathematical expectation value is used for indicating that the trend detection result is an ascending trend, and the negative mathematical expectation value is used for indicating that the trend detection result is a decaying trend.
7. The communication network vertical switching device oriented to the complex platform area environment according to claim 6, wherein the second subunit is specifically configured to perform discrete fourier transform on the signal strength of the historical signal according to a preset imaginary part calculation formula to obtain an imaginary part result of the fourier transform;
the preset imaginary part calculation formula is as follows:
wherein X (k) is a Fourier transform result obtained by performing discrete Fourier transform on the signal intensity of the historical signal, X1Is the imaginary part of x (k), and N is the total number of signals of the historical signal.
8. An electronic device, characterized in that the electronic device comprises a memory for storing a computer program and a processor for executing the computer program to make the electronic device execute the method for vertical handover of a communication network facing a complex station area environment according to any one of claims 1 to 4.
9. A readable storage medium, wherein computer program instructions are stored in the readable storage medium, and when the computer program instructions are read and executed by a processor, the method for vertical handover of a communication network facing a complex station area environment according to any one of claims 1 to 4 is performed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111323396.XA CN113784412B (en) | 2021-11-10 | 2021-11-10 | Communication network vertical switching method and device for complex platform area environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111323396.XA CN113784412B (en) | 2021-11-10 | 2021-11-10 | Communication network vertical switching method and device for complex platform area environment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113784412A CN113784412A (en) | 2021-12-10 |
| CN113784412B true CN113784412B (en) | 2022-02-22 |
Family
ID=78873672
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111323396.XA Active CN113784412B (en) | 2021-11-10 | 2021-11-10 | Communication network vertical switching method and device for complex platform area environment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113784412B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101083832A (en) * | 2006-05-30 | 2007-12-05 | 中兴通讯股份有限公司 | Method for preventing frequent switching in wireless LAN |
| CN108882326A (en) * | 2018-06-29 | 2018-11-23 | 吉林大学 | Vertical Handover algorithm based on hidden Naive Bayes Classification method under car networking environment |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6944144B2 (en) * | 2003-02-28 | 2005-09-13 | Microsoft Corporation | Vertical roaming in wireless networks through improved quality of service measures |
| EP2169997A1 (en) * | 2008-09-30 | 2010-03-31 | BRITISH TELECOMMUNICATIONS public limited company | Controlling handovers in radio communication networks based on predictions of received signal strenght indicators (RSSI) |
| EP2688342B1 (en) * | 2012-07-19 | 2018-02-21 | TerraNet AB | Soft Topology Reconfiguration for Improved Robustness in a Mesh Network |
| CN103546933A (en) * | 2013-10-22 | 2014-01-29 | 惠州Tcl移动通信有限公司 | Method and system for intelligently switching network connection |
| CN112954755B (en) * | 2021-04-20 | 2023-10-17 | 努比亚技术有限公司 | Optimized network switching method and device and computer readable storage medium |
-
2021
- 2021-11-10 CN CN202111323396.XA patent/CN113784412B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101083832A (en) * | 2006-05-30 | 2007-12-05 | 中兴通讯股份有限公司 | Method for preventing frequent switching in wireless LAN |
| CN108882326A (en) * | 2018-06-29 | 2018-11-23 | 吉林大学 | Vertical Handover algorithm based on hidden Naive Bayes Classification method under car networking environment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113784412A (en) | 2021-12-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Multi-agent deep reinforcement learning-based cooperative spectrum sensing with upper confidence bound exploration | |
| US20150333998A1 (en) | System and Method for Anomaly Detection | |
| CN107852771A (en) | Network anomaly detection based on adaptive-filtering | |
| CN102883386A (en) | Cell switching method and device in LTE network | |
| CN107623900B (en) | Paging conflict processing method and device for multi-card multi-standby mobile terminal and mobile terminal | |
| JP6577135B2 (en) | Signal processing method and related apparatus | |
| CN107071788B (en) | Spectrum sensing method and device in cognitive wireless network | |
| CN109842521A (en) | A kind of mobile terminal delay machine forecasting system and method | |
| WO2014107526A1 (en) | Methods and systems for dynamic detection of consumer venue walk-ins | |
| CN112836911A (en) | Method and device for determining cell energy-saving parameter, electronic equipment and storage medium | |
| JP2009182538A (en) | Mobile communication system, handover performance monitoring method, and control apparatus | |
| CN106792910B (en) | Load balancing method and device | |
| CN107809737B (en) | Method and device for determining network flow of base station | |
| CN113784412B (en) | Communication network vertical switching method and device for complex platform area environment | |
| CN102869091B (en) | Method and device for determining arrival time of location reference signals | |
| CN108513309A (en) | A kind of access jamming control method of NB-IoT systems | |
| CN100574130C (en) | The detection method and the device of TD-SCDMA system same frequency sub-district intermediate code | |
| CN105323828A (en) | Multi-mode terminal network access selection method and terminal | |
| CN105491633A (en) | Wireless network vertical handoff method and apparatus | |
| CN111343711B (en) | Method, device, equipment and medium for reducing terminal power consumption | |
| EP3078181A1 (en) | User service prediction in a communication network | |
| CN105812104B (en) | Carrier polymerizing method and device and terminal device | |
| CN106792882A (en) | Network estimation method and device | |
| Huai et al. | Wideband spectrum sensing using the all-phase FFT | |
| CN111294889B (en) | Cell search method and device, storage medium and terminal |
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 |