CN114785402A - Low-interference high-flux satellite dynamic beam hopping method - Google Patents

Low-interference high-flux satellite dynamic beam hopping method Download PDF

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CN114785402A
CN114785402A CN202210365497.1A CN202210365497A CN114785402A CN 114785402 A CN114785402 A CN 114785402A CN 202210365497 A CN202210365497 A CN 202210365497A CN 114785402 A CN114785402 A CN 114785402A
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姚如贵
李童
左晓亚
王立波
樊晔
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Northwestern Polytechnical University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
    • H04B7/1851—Systems using a satellite or space-based relay
    • H04B7/18513—Transmission in a satellite or space-based system
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/14—Relay systems
    • H04B7/15—Active relay systems
    • H04B7/185—Space-based or airborne stations; Stations for satellite systems
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    • H04B7/18519—Operations control, administration or maintenance
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract

The invention provides a low-interference high-flux satellite dynamic beam hopping method, which adopts a GAP method to quickly solve the problem of dynamic beam hopping in a broadband satellite communication system, and can obtain a low-interference high-service satisfaction beam hopping pattern by fully utilizing the sparsity of the beam hopping pattern. The present invention maintains interference below the interference threshold. Meanwhile, the algorithm complexity is only related to the number of satellite transmitters and is not related to the number of ground service cells, and the operation time can be greatly shortened when the high-dimensional complex problem is processed. Therefore, the dynamic beam hopping method based on the GAP method is more suitable for solving the beam pattern design problem of the high-throughput satellite in the presence of inter-beam interference.

Description

Low-interference high-flux satellite dynamic beam hopping method
Technical Field
The invention relates to the technical field of wireless communication, and provides a greedy adaptive tracking GAP (gap adaptive pursuit) method based on a greedy algorithm, which is suitable for solving the problem of dynamic beam hopping caused by interference between beams in an actual high-throughput satellite communication system.
Background
The high-flux beam hopping satellite system is a brand-new high-sensitivity system and has the advantages of high safety coefficient, high response speed, large communication capacity and the like. The high-throughput satellite beam hopping technology can perform resource allocation in four dimensions of space, time, frequency and power, and has excellent flexibility, resource utilization efficiency and the capability of adapting to dynamic changes of ground services.
One of the important factors restricting the communication capacity of the high-throughput beam hopping satellite system is Co-channel Interference (CCI), all beams of the high-throughput beam hopping satellite work simultaneously, and the beams using the same frequency band interfere with each other, so that the communication rate is reduced. When each beam in the high-throughput beam hopping satellite system uses the full frequency bandwidth, if the spot beam simultaneously serves two ground cells with similar distances in the same time slot, a serious CCI problem can be caused.
Document 1 "Hu X, Zhang Y, Liao X, et al. dynamic Beam steering Method Based on Multi-Objective Deep recovery Learning for Next Generation Satellite Broadcasting Systems [ J ]. IEEE Transactions on Broadcasting,2020, PP (99): 1-17." it is important to propose that when considering diversity services, it is important to flexibly adjust Satellite resources to meet different conditions, and how to match system capacity requirements with effective utilization of beams by solving the high dimensional problem of Beam Hopping is a completely new challenge.
Document 2 "Anzalchi J, Couchman A, Gabellini P, et al. Beam hopping in multi-beam branched Satellite Systems System and performance complex with non-ported Systems [ C ]// Advanced Satellite Multimedia Systems reference & the Signal Processing for Space Communications works IEEE, 2010" uses Genetic Algorithm (GA) for jump beam Satellite resource allocation optimization, but due to the non-linearity of the objective function and the many dimensions of the solution Space, it is computationally inefficient and unsuitable for scenarios where the ground traffic dynamics change relatively quickly.
Document 3 "Alberti X, Ce Brian J M, Bianco A D, et al. System capacity optimization in time and frequency for multi-beam multi-media Systems [ C ]// Advanced software Multimedia Systems Conference & the Signal Processing for Space Communications works. IEEE, 2010" proposes that under an ideal situation without considering CCI, convex optimization can be used to solve the beam hopping problem, thereby improving the computation speed while solving this high dimensional problem. This ideal case without considering CCI is not applicable to practical engineering.
To sum up, when the beam hopping problem is processed by adopting heuristic methods such as the traditional PSO algorithm and the GA algorithm, a long time is required or even the optimal beam hopping result cannot be converged, and the traditional convex optimization method cannot solve the actual engineering problem in the presence of CCI.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a low-interference high-throughput satellite dynamic beam hopping method. The invention adopts the GAP method to quickly solve the problem of dynamic beam jump in the broadband satellite communication system. By fully utilizing the sparsity of the beam hopping pattern, a beam hopping pattern with low interference and high service satisfaction can be obtained. The invention provides a dynamic beam hopping method of a broadband communication satellite with low interference and high service satisfaction. The method adopts GAP method on the wave beam jump.
The technical scheme adopted by the invention for solving the technical problem comprises the following steps:
step 1: determining input parameters of the GAP method: satellite transmission power PTOLNumber of satellite transmitters K, threshold value of interference between satellite beams ITHN number of terrestrial cells, and f ═ f of service satisfaction of terrestrial cells1,…,fN]Inter-beam interference database
Figure BDA0003585707180000021
Representing the interference caused to other cells n' when the terrestrial cell n gets satellite beam service;
step 2: initialization: the iteration number i is 1, and the global optimum satisfaction degree F0＝0；
And step 3: the cells are sorted in descending order according to the service satisfaction degree f of each ground cell,
Figure BDA0003585707180000022
wherein, NsortRepresenting the ground number set after N ground cells are sequenced; wherein Sort () is a sorting function, 'descnd' denotes descending order, and arg () is an argument function;
and 4, step 4: entering a loop, executing the step 5 when the iteration times i are less than or equal to N, otherwise, directly entering the step 15;
and 5: in the ith iteration, a beam beating pattern X is initializediSet cell candidate set to 0
Figure BDA0003585707180000023
The number k of beams providing service beams is 1;
wherein the beam pattern
Figure BDA0003585707180000031
Represents the relationship between cell n and beam k if
Figure BDA0003585707180000032
Denotes that beam k serves cell n if
Figure BDA0003585707180000033
Indicating that beam k does not serve cell n;
step 6: entering an inner loop, executing the step 7 when the number K of the service beams is less than or equal to K, otherwise, directly entering the step 12;
and 7: finding the serving target cell of the beam k when the kth beam provides service
Figure BDA0003585707180000034
Figure BDA0003585707180000035
And 8: setting a beam pattern XiIn (1)
Figure BDA0003585707180000036
Consider beam k serving cell
Figure BDA0003585707180000037
The cell is in an active state illuminated by a beam, i.e. the beam serves the cell; if it is
Figure BDA0003585707180000038
The cell is considered to be not lighted by the beam and is in a blocking state, and the beam does not serve the cell;
and step 9: beam-finding k service
Figure BDA0003585707180000039
Time-of-flight serving cell exclusion zone set
Figure BDA00035857071800000310
According to a given interference threshold ITHAnd ground cell
Figure BDA00035857071800000311
Interference caused to any other cell n' while obtaining beam service
Figure BDA00035857071800000312
By judging interference
Figure BDA00035857071800000313
And interference threshold ITHIn order to find the relation between the interference threshold I and the measured interference levelTHServing cell interference of
Figure BDA00035857071800000314
Finally, the interference threshold value I exceeding is obtained by applying the independent variable function argTHServing cell forbidden zone set
Figure BDA00035857071800000315
Step 10: updating cell candidatesCollection
Figure BDA00035857071800000316
Aggregating forbidden zones of service cells
Figure BDA00035857071800000317
From the candidate set
Figure BDA00035857071800000318
The acid-soluble organic acid is removed in the process,
Figure BDA00035857071800000319
step 11: increasing the number k of service beams plus 1;
step 12: in the ith iteration, the sum of the service satisfaction of the serving cells is calculated:
Figure BDA00035857071800000320
step 13: in the ith iteration, if Fi-1≥FiEnding the circulation, and entering step 15, otherwise, entering step 14;
step 14: increasing the iteration times, adding 1 to i, and returning to the step 4;
step 15: output beam beating pattern X ═ Xi-1。
The input parameter of the step 1 is satellite transmitting power
Figure BDA00035857071800000321
Figure BDA00035857071800000321
20 dbW-30 dbW, the number K of satellite transmitters is 3-10, and the number N of ground cells is 50-100; arbitrary ground cell n service satisfaction fn: 0 to 1, interference threshold ITHAnd satellite transmission power
Figure BDA0003585707180000041
Related, setting-115 dbW to-100 dbW; interference caused to any other cell n' when any terrestrial cell n is served by a beam
Figure BDA0003585707180000042
125dbW to 95dbW, and the interference to the self is expressed as
Figure BDA0003585707180000043
The invention has the advantages that the wave beam hopping method based on the GAP method can obtain higher service satisfaction degree and simultaneously keep the interference lower than the interference threshold value. Meanwhile, the algorithm adopts a greedy thought, so that the complexity of the algorithm is only related to the number of satellite transmitters and is not related to the number of ground service cells. Compared with the traditional heuristic algorithm, the method can greatly shorten the operation time when processing high-dimensional complex problems. Therefore, the dynamic beam hopping method based on the GAP method is more suitable for solving the beam pattern design problem when the high-throughput satellite has the inter-beam interference.
Drawings
Fig. 1 is a diagram illustrating a beam hopping model in a broadband satellite communication system.
Fig. 2 is a schematic diagram illustrating a low interference dynamic beam hopping process in a broadband satellite communication system.
Fig. 3 is a schematic diagram illustrating the comparison of the sum of cell service satisfaction based on the GAP method and other algorithms.
Fig. 4 is a schematic diagram of maximum inter-beam interference comparison based on the GAP method and other algorithms.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the drawings.
The invention provides a dynamic beam hopping method of a broadband communication satellite, which takes a ground cell N as 60 in a satellite scene as an example, and provides a method for performing dynamic beam hopping by adopting a GAP (GAP) method. A beam hopping model in a broadband satellite communication system is shown in fig. 1, a dynamic beam hopping process is shown in fig. 2, and the specific implementation is as follows:
step 1: determining input parameters of the GAT method: satellite transmission power PTOL20dbW, 6 satellite transmitters, threshold I for inter-satellite-beam interferenceTH-113dbW, the number N of terrestrial cells being 60, and the service satisfaction f of terrestrial cells being f1,…,fN]Small, arbitrary groundSatisfaction f of region nnIs composed of
Figure BDA0003585707180000047
Random number between, inter-beam interference database
Figure BDA0003585707180000044
Indicating the interference caused to other cells n' when any terrestrial cell n is served by a satellite beam,
Figure BDA0003585707180000045
is a random number between-125 dbW and-95 dbW, and the interference to the random number is expressed as
Figure BDA0003585707180000046
Step 2: initialization: the iteration number i is 1, and the global optimum satisfaction degree F0＝0。
And step 3: arranging the cells in descending order according to the service satisfaction degree f of the ground cells
Figure BDA0003585707180000051
Wherein N issortRepresenting the sorted ground number set of the N ground cells.
And 4, step 4: and (5) entering a loop, executing the following operation steps when the iteration number i is less than or equal to N, and otherwise, directly entering the step 15.
And 5: in the ith iteration, a beam beat pattern X is initializediSetting a cell candidate set as 0
Figure BDA0003585707180000052
The number k of beams providing the service beam is 1.
Wherein the beam pattern
Figure BDA0003585707180000053
Represents the relationship between cell n and beam k if
Figure BDA0003585707180000054
Denotes that beam k serves cell n if
Figure BDA0003585707180000055
Indicating that beam k is not serving cell n.
And 6: and entering an inner loop, executing the following operation steps when the number K of the service beams is less than or equal to K, and otherwise, directly entering the step 12.
And 7: when the kth beam provides service, finding the serving target cell of the beam k
Figure BDA0003585707180000056
Figure BDA0003585707180000057
And 8: patterning the beam XiIn (1)
Figure BDA0003585707180000058
Consider beam k serving cell
Figure BDA0003585707180000059
And step 9: beam-finding k service
Figure BDA00035857071800000510
Time-of-flight serving cell exclusion zone set
Figure BDA00035857071800000511
Step 10: updating cell candidate sets
Figure BDA00035857071800000512
Aggregating forbidden zones of service cells
Figure BDA00035857071800000513
From candidate sets
Figure BDA00035857071800000514
The acid-soluble organic acid is removed in the process,
Figure BDA00035857071800000515
step 11: the number k of service beams is increased to k + 1.
Step 12: in the ith iteration, the sum of the service satisfaction degrees of the selected cells is calculated:
Figure BDA00035857071800000516
step 13: in the ith iteration, if Fi-1≥FiThe loop is ended and step 15 is entered, otherwise step 14 is entered.
Step 14: and (3) increasing the iteration times: and returning to the step 4 when i is equal to i + 1.
Step 15: output beam beating pattern X ═ Xi-1。
Fig. 3 is a schematic diagram illustrating the comparison of the sum of cell service satisfaction based on the GAP method and other algorithms. Fig. 4 is a schematic diagram of maximum inter-beam interference comparison based on the GAP method and other algorithms. It can be seen that the beam hopping method based on the GAP method can obtain a higher service satisfaction compared to other methods, while maintaining interference below the interference threshold. Therefore, the dynamic beam hopping method based on the GAP method is more suitable for solving the problem of beam hopping of the high-throughput satellite in the presence of inter-beam interference.

Claims (2)

1. A low-interference high-throughput satellite dynamic beam hopping method is characterized by comprising the following steps:
step 1: determining input parameters of the GAP method: satellite transmission power PTOLNumber of satellite transmitters K, threshold value of interference between satellite beams ITHN number of terrestrial cells, and f ═ f of service satisfaction of terrestrial cells1,…,fN]Inter-beam interference database
Figure FDA0003585707170000011
Meaning that when terrestrial cell n gets satellite beam service,interference caused to other cells n';
step 2: initialization: the iteration number i is 1, and the global optimum satisfaction degree F0＝0；
And step 3: the cells are sorted in descending order according to the service satisfaction degree f of each ground cell,
Figure FDA0003585707170000012
wherein, NsortRepresenting the ground number set after N ground cells are sequenced; wherein Sort () is a sorting function, 'descnd' denotes descending order, and arg () is an argument function;
and 4, step 4: entering a loop, executing the step 5 when the iteration times i are less than or equal to N, otherwise, directly entering the step 15;
and 5: in the ith iteration, a beam beat pattern X is initializediSetting a cell candidate set as 0
Figure FDA0003585707170000013
The number k of beams providing the service beam is 1;
wherein the beam pattern
Figure FDA0003585707170000014
Figure FDA0003585707170000015
Represents the relationship between cell n and beam k if
Figure FDA0003585707170000016
Denotes that beam k serves cell n if
Figure FDA0003585707170000017
Indicating that beam k does not serve cell n;
step 6: entering an inner loop, executing the step 7 when the number K of the service beams is less than or equal to K, or directly entering the step 12;
and 7: finding the serving target cell of the beam k when the kth beam provides service
Figure FDA0003585707170000018
Figure FDA0003585707170000019
And 8: setting a Beam Pattern XiIn
Figure FDA00035857071700000110
Consider beam k serving cell
Figure FDA00035857071700000111
The cell is in an active state illuminated by a beam, i.e. the beam serves the cell; if it is
Figure FDA00035857071700000112
The cell is considered to be not lighted by the beam and is in a blocking state, and the beam does not serve the cell;
and step 9: beam-finding k service
Figure FDA0003585707170000021
Time-of-flight serving cell exclusion zone set
Figure FDA0003585707170000022
Figure FDA0003585707170000023
According to a given interference threshold ITHAnd ground cell
Figure FDA0003585707170000024
Interference caused to any other cell n' while obtaining beam service
Figure FDA0003585707170000025
By judging interference
Figure FDA0003585707170000026
And interference threshold ITHIn order to find the relation between the interference threshold I and the measured interference levelTHServing cell interference
Figure FDA0003585707170000027
Finally, the interference threshold value I exceeding is obtained by applying the independent variable function argTHServing cell forbidden zone set
Figure FDA0003585707170000028
Step 10: updating cell candidate sets
Figure FDA0003585707170000029
Aggregating forbidden zones of service cells
Figure FDA00035857071700000210
From candidate sets
Figure FDA00035857071700000211
The acid-soluble organic acid is removed in the process,
Figure FDA00035857071700000212
step 11: increasing the number k of service beams plus 1;
step 12: in the ith iteration, the sum of the service satisfaction of the serving cells is calculated:
Figure FDA00035857071700000213
step 13: in the ith iteration, if Fi-1≥FiEnding the circulation, and entering step 15, otherwise, entering step 14;
step 14: increasing the iteration times, adding 1 to i, and returning to the step 4;
step 15: output beam hopping pattern X ═ Xi-1。
2. The low-interference high-throughput satellite dynamic beam hopping method as set forth in claim 1, wherein:
the input parameter of the step 1 is satellite transmitting power
Figure FDA00035857071700000214
20 dbW-30 dbW, the number K of satellite transmitters is 3-10, and the number N of ground cells is 50-100; arbitrary ground cell n service satisfaction fn: 0 to 1, interference threshold ITHAnd satellite transmission power
Figure FDA00035857071700000215
Related, setting-115 dbW to-100 dbW; interference caused to any other cell n' when any terrestrial cell n is served by a beam
Figure FDA00035857071700000216
125-125 dbW to 95-95 dbW, the interference to itself is expressed as
Figure FDA00035857071700000217
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EP2632061A1 (en) * 2012-02-27 2013-08-28 Agence Spatiale Européenne A method and a system of providing multi-beam coverage of a region of interest in multi-beam satellite communication.
CN109450498A (en) * 2018-11-05 2019-03-08 南京邮电大学 A kind of high throughput satellite communication system beam-hopping method
CN110996394A (en) * 2019-12-12 2020-04-10 南京邮电大学 Satellite communication system resource scheduling method combining beam hopping and precoding
CN113692051A (en) * 2021-07-23 2021-11-23 西安空间无线电技术研究所 Cross-wave-bit resource allocation method for beam-hopping satellite
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