CN113766536B - Image data wireless transmission optimization method for extra-high voltage converter station - Google Patents

Image data wireless transmission optimization method for extra-high voltage converter station Download PDF

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CN113766536B
CN113766536B CN202011518389.0A CN202011518389A CN113766536B CN 113766536 B CN113766536 B CN 113766536B CN 202011518389 A CN202011518389 A CN 202011518389A CN 113766536 B CN113766536 B CN 113766536B
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谢民
汪伟
章昊
王同文
邵庆祝
于洋
俞斌
张骏
叶远波
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State Grid Anhui Electric Power Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • 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
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
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Abstract

The invention discloses a wireless transmission optimization method for image data of an extra-high voltage converter station, which comprises the following steps: 1. establishing a model of wireless communication dynamic data transmission; 2. establishing an optimized objective function with minimum transmission delay; 3. solving an optimization objective function to obtain the length of the optimal data packet and the frequency spectrum sensing times of the communication protocol; 4. by using the optimal data packet length and the communication protocol frequency spectrum sensing times, the data transmission delay can be minimized by configuring the wireless communication parameters to transmit data, and the data transmission can be completed within the maximum allowable transmission time. The invention reduces the transmission delay and solves the problem of dynamic data transmission with time constraint by optimizing the size of the data packet and the frequency spectrum sensing times of the communication protocol.

Description

Image data wireless transmission optimization method for extra-high voltage converter station
Technical Field
The invention relates to a wireless transmission optimization method for image data of an extra-high voltage converter station, and belongs to the field of wireless communication.
Background
In recent years, the rapid development of wireless communication networks brings great convenience to the life of people, the demands of people on network communication technologies are exponentially increased, and people classify transmission data into important data and unimportant dynamic data. On one hand, people do not break new wireless communication technology, and various services are provided by utilizing new frequency bands; in another aspect, various improved modulation and coding techniques also result in improved utilization of existing spectrum. However, spectrum resources are ultimately limited. Under the foreseeable circumstance, the utilization efficiency of the frequency spectrum can be improved by three to four times, and the requirement of tens and hundreds of times of bandwidth for people is increased, and the improvement obviously cannot completely meet the requirement. Spectrum resources are becoming a very valuable natural resource, which is becoming increasingly stressed and even depleted. Therefore, the advantages of the cognitive radio technology are gradually highlighted, the cognitive radio technology can intelligently transmit unimportant dynamic data by using an idle channel, and when important data needs to be transmitted, the cognitive radio technology stops using in time and transmits the important data to a main user by using the channel.
In the conventional cognitive radio technology, a large amount of spectrum sensing is required to determine whether a channel is idle, and time overhead caused by retransmission is required. Therefore, how to reduce the time overhead in the transmission process, so that the data transmission quality is ensured and the rapid transmission becomes a difficult problem in the research.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an image data wireless transmission optimization method of an extra-high voltage converter station, so that time expenditure in the transmission process can be reduced, and the method can ensure the reliable data transmission quality and realize rapid transmission.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
the invention relates to an image data wireless transmission optimization method of an extra-high voltage converter station, which is characterized by comprising the following steps:
step one, establishing a dynamic data transmission model of wireless communication, and setting the maximum allowable transmission time as D max The arrival rate of the priority user on the ith channel is L i ；
Step two, establishing an optimized objective function f with minimum transmission delay by using the formula (1):
Figure GDA0004149783580000011
in the formula (1), the components are as follows,
Figure GDA0004149783580000012
time overhead for the ith channel, +.>
Figure GDA0004149783580000013
E is expected for the effective transmission time of the i-th channel;
constructing constraint conditions of the optimization objective function f by using the formula (2) -formula (4):
Figure GDA0004149783580000014
Figure GDA0004149783580000021
Figure GDA0004149783580000022
/>
in the formulas (2) - (4), n represents the number of transmission data packets in the wireless communication network, i represents the serial number of the channel,
Figure GDA0004149783580000023
represents the time required to transmit a packet on the ith channel, R i For the ith channel bandwidth, L represents the length of the packet; t (T) s Representing the time required to run spectrum sensing once, < +.>
Figure GDA0004149783580000024
Representing the total time required to transmit a packet on the ith channel; x is X i The number of spectrum sensing operations on the ith channel;
step three, under the constraint condition of the formulas (2) and (4), solving the optimization objective function f by using a dynamic programming algorithm to obtain the optimal data packet length L * And the frequency spectrum sensing times (X i ) * ；
Step four, utilizing the optimal data packet length L * And the frequency spectrum sensing times (X i ) * The data transmission delay can be minimized by configuring the optimized objective function f, and the data transmission delay D can be maximized max And finishing data transmission in time.
The image data wireless transmission optimization method of the extra-high voltage converter station is also characterized in that in the first step, a dynamic data transmission model of the wireless communication is constructed by utilizing the formulas (5) - (7):
G＝(n,i)(5)
Figure GDA0004149783580000025
Figure GDA0004149783580000026
in the formula (5), G represents transmitting n data packets on the ith channel;
in the formula (7), m represents the number of channels.
In the second step, the time overhead is calculated by using the formulas (8) - (10)
Figure GDA0004149783580000027
And effective transmission time->
Figure GDA0004149783580000028
Figure GDA0004149783580000029
Figure GDA00041497835800000210
Figure GDA00041497835800000211
In the formulas (8) to (10),
Figure GDA00041497835800000212
for running X on the ith channel i Priority is given to the arrival rate of the user after secondary spectrum sensing.
In the second step, the average time overhead expectation is calculated by using the formulas (11) to (14)
Figure GDA00041497835800000213
And the desire for average effective transmission time +.>
Figure GDA00041497835800000214
Figure GDA00041497835800000215
Figure GDA0004149783580000031
Figure GDA0004149783580000032
Figure GDA0004149783580000033
In the formulae (11) to (14), E (X) i ) For the i-th channel running spectrum sensing times X i Is not limited to the desired one;
Figure GDA0004149783580000034
to run X i Priority users on ith channel after secondary spectrum sensingThe arrival rate is desired.
Compared with the prior art, the invention has the beneficial effects that:
the invention reduces the transmission delay, solves the problem of dynamic data transmission with time constraint by jointly optimizing the size of the data packet and the frequency spectrum sensing times, simultaneously reduces the adverse effect caused by the retransmission part in the transmission process, furthest solves the interference of retransmission on data transmission, and improves the transmission efficiency and the success rate; by optimizing the dynamic data transmission algorithm, the real-time performance and the rapidity of dynamic data transmission are improved; in addition, the method for using the invention has higher result stability in multiple solutions. The method is simple and practical and is easy to implement.
Drawings
FIG. 1 is a diagram of a dynamic data transmission model of the present invention;
FIG. 2 is a flow chart of the steps of the present invention.
Detailed Description
In this embodiment, a method for optimizing wireless transmission of image data of an extra-high voltage converter station, see fig. 2, includes the following steps:
step one, establishing a dynamic data transmission model of wireless communication, as shown in fig. 1, setting the maximum allowable transmission time of the transmitted image data as D max The arrival rate of the priority user on the ith channel is L i The method comprises the steps of carrying out a first treatment on the surface of the Constructing a dynamic data transmission model of the wireless communication by using the formula (1) -formula (3):
G＝(n,i)(1)
Figure GDA0004149783580000035
Figure GDA0004149783580000036
in the formula (1), n represents the number of transmission data packets in the wireless communication network, i represents the serial number of the channel, and G represents the transmission of n image data packets on the ith channel;
in the formula (2), the amino acid sequence of the compound,
Figure GDA0004149783580000037
represents the time required to transmit a packet on the ith channel, R i For the ith channel bandwidth, L represents the length of the packet;
in the formula (3), T s Representing the time required to run spectrum sensing once,
Figure GDA0004149783580000038
representing the total time required to transmit a packet on the ith channel; m represents the number of channels.
By modeling a dynamic data transmission model, the abstract problem can be subjected to concrete analysis, so that the purpose of concrete problem concrete analysis is achieved;
step two, establishing an optimized objective function f with minimum transmission delay by using the formula (4):
Figure GDA0004149783580000041
in the formula (4), the amino acid sequence of the compound,
Figure GDA0004149783580000042
time overhead for the ith channel, +.>
Figure GDA0004149783580000043
E is desired for the effective transmission time of the i-th channel. The objective function is digitized by calculating the quotient of the average overhead time and the average effective transmission time existing in the transmission time process, thereby being more beneficial to the optimization and adjustment of the objective function.
Constructing constraint conditions for optimizing an objective function f by using the formulas (5) - (7):
Figure GDA0004149783580000044
Figure GDA0004149783580000045
Figure GDA0004149783580000046
in the formulas (5) - (7), X i For the number of times spectrum sensing is run on the i-th channel.
Calculating the time overhead using equations (8) - (10)
Figure GDA0004149783580000047
And effective transmission time->
Figure GDA0004149783580000048
Figure GDA0004149783580000049
Figure GDA00041497835800000410
Figure GDA00041497835800000411
In the formulas (8) to (10),
Figure GDA00041497835800000412
for running X on the ith channel i Priority is given to the arrival rate of the user after secondary spectrum sensing.
Calculating the average time overhead expectation using equations (11) - (14)
Figure GDA00041497835800000413
And average effective transmission time
Figure GDA00041497835800000414
Figure GDA00041497835800000415
Figure GDA00041497835800000416
Figure GDA00041497835800000417
Figure GDA00041497835800000418
In the formulae (11) to (14), E (X) i ) For the i-th channel running spectrum sensing times X i Is not limited to the desired one;
Figure GDA00041497835800000419
to run X i The expectation of the arrival rate of the priority user on the ith channel after secondary spectrum sensing;
step three, under the constraint condition of the formulas (5) and (7), solving the optimization objective function f by using a dynamic programming algorithm to obtain the optimal image data packet length L * And the frequency spectrum sensing times (X i ) * ；
Step four, utilizing the optimal image data packet length L * And the frequency spectrum sensing times (X i ) * The data transmission delay can be minimized by configuring the optimized objective function f, and the data transmission delay D can be maximized max And finishing data transmission in time.

Claims (1)

1. The wireless transmission optimization method for the image data of the extra-high voltage converter station is characterized by comprising the following steps of:
step one, establishing a dynamic data transmission model of wireless communication by using a formula (5) -a formula (7), and setting the maximum allowable transmission time as D max The arrival rate of the priority user on the ith channel is L i ；
G＝(n,i) (5)
Figure FDA0004149783570000011
Figure FDA0004149783570000012
In the formula (5), G represents transmitting n data packets on the ith channel;
in the formula (7), m represents the number of channels;
step two, establishing an optimized objective function f with minimum transmission delay by using the formula (1):
Figure FDA0004149783570000013
in the formula (1), the components are as follows,
Figure FDA0004149783570000014
time overhead for the ith channel, +.>
Figure FDA0004149783570000015
E is expected for the effective transmission time of the i-th channel;
calculating the time overhead using equations (8) - (10)
Figure FDA0004149783570000016
And effective transmission time->
Figure FDA0004149783570000017
Figure FDA0004149783570000018
Figure FDA0004149783570000019
Figure FDA00041497835700000110
In the formulas (8) to (10),
Figure FDA00041497835700000111
for running X on the ith channel i Priority is given to the arrival rate of the user after secondary spectrum sensing;
calculating the average time overhead expectation using equations (11) - (14)
Figure FDA00041497835700000112
And average effective transmission time
Figure FDA00041497835700000113
Figure FDA00041497835700000114
Figure FDA00041497835700000115
Figure FDA00041497835700000116
Figure FDA00041497835700000117
In the formulae (11) to (14), E (X) i ) For the i-th channel running spectrum sensing times X i Is not limited to the desired one;
Figure FDA00041497835700000118
to run X i The expectation of the arrival rate of the priority user on the ith channel after secondary spectrum sensing;
constructing constraint conditions of the optimization objective function f by using the formula (2) -formula (4):
Figure FDA00041497835700000119
Figure FDA0004149783570000021
Figure FDA0004149783570000022
in the formulas (2) - (4), n represents the number of transmission data packets in the wireless communication network, i represents the serial number of the channel,
Figure FDA0004149783570000023
represents the time required to transmit a packet on the ith channel, R i For the ith channel bandwidth, L represents the length of the packet; t (T) s Representing the time required to run spectrum sensing once, < +.>
Figure FDA0004149783570000024
Representing the total time required to transmit a packet on the ith channel; x is X i The number of spectrum sensing operations on the ith channel;
step three, under the constraint condition of the formulas (2) and (4), solving the optimization objective function f by using a dynamic programming algorithm to obtain the optimal data packet length L * And the frequency spectrum sensing times (X i ) * ；
Step four, utilizing the optimal data packet length L * And the frequency spectrum sensing times (X i ) * Configuring optimization targetsThe function f can minimize the data transmission delay and transmit D at maximum allowable max And finishing data transmission in time.
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CN107592172A (en) * 2016-07-06 2018-01-16 中央军委装备发展部第六十三研究所 A kind of multichannel efficiency frequency spectrum sensing method based on perceptual performance

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US8428632B2 (en) * 2008-03-31 2013-04-23 Motorola Solutions, Inc. Dynamic allocation of spectrum sensing resources in cognitive radio networks
US8666421B2 (en) * 2011-05-13 2014-03-04 Limei Xu Method for spectrum sensing in cognitive radio networks with open wireless architecture

Patent Citations (2)

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Publication number Priority date Publication date Assignee Title
WO2015035804A1 (en) * 2013-09-11 2015-03-19 中兴通讯股份有限公司 Broadband spectrum sensing method, fusion center, sensing node and system
CN107592172A (en) * 2016-07-06 2018-01-16 中央军委装备发展部第六十三研究所 A kind of multichannel efficiency frequency spectrum sensing method based on perceptual performance

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