CN112994782B - Satellite mobile communication method combining space-time-frequency triple multiplexing and bandwidth self-adaption - Google Patents
Satellite mobile communication method combining space-time-frequency triple multiplexing and bandwidth self-adaption Download PDFInfo
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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
- H04B7/1853—Satellite systems for providing telephony service to a mobile station, i.e. mobile satellite service
- H04B7/18539—Arrangements for managing radio, resources, i.e. for establishing or releasing a connection
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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
- H04B7/1853—Satellite systems for providing telephony service to a mobile station, i.e. mobile satellite service
- H04B7/18569—Arrangements for system physical machines management, i.e. for construction operations control, administration, maintenance
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- 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
- H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/06—Airborne or Satellite Networks
Abstract
The invention discloses a satellite mobile communication method combining space-time-frequency triple multiplexing and bandwidth self-adaption, which comprises the following steps: setting the number of wave beams, the ratio of single wave beam receiving gain to noise equivalent temperature and the loss allowance of a link, calculating the sum of the maximum value of a receiving threshold and the loss allowance of the link, and selecting a multiplexing factor value for performing multi-color multiplexing on available frequency resources among multiple wave beams by comparing the receiving carrier-to-interference ratio value with the sum; calculating the maximum carrier wave rate and peak information rate of the satellite user terminal, the number of time division channels and the number of basic carrier waves which can be supported by a single beam; adaptively adjusting the transmission rate according to the channel quality gear and the service type; and calculating a bandwidth cutting factor by utilizing a multi-objective optimization algorithm, and distributing basic carriers to the user terminal according to needs. The invention effectively improves the utilization rate of system communication resources, can adapt to the requirements of various information rates, multi-service communication performance and service quality, and realizes the comprehensive optimization of system capacity and throughput under the resource limitation.
Description
Technical Field
The invention relates to the technical field of satellite mobile communication, in particular to a satellite mobile communication method combining space-time-frequency triple multiplexing and bandwidth self-adaption.
Background
Compared with the ground mobile communication system, the satellite mobile communication system has the remarkable advantages of wide coverage range and no limitation of terrain conditions, and plays an irreplaceable role in serving users in air, at sea, in deserts, mountains and remote and unmanned areas and in dealing with ground communication infrastructure damage caused by natural disasters such as earthquakes, floods and the like. Satellite mobile communication systems often employ satellite-borne large-aperture multi-beam antennas to improve the reception capability of signals transmitted by users, thereby reducing the apertures of the transmitting antennas of the satellite users and enhancing the mobility of the satellite users. However, in practical applications, user capacity, communication performance, service quality, and the like of the satellite mobile communication system are still limited in many ways, which is specifically shown that firstly, the user capacity of the satellite mobile communication system is limited by the bearing capacity and limited frequency resources of the satellite platform; secondly, with the development of satellite communication technology, people have higher and higher requirements on communication service quality, and a satellite mobile communication link is required to meet the transmission quality requirements of different services, so that the communication service quality as high as possible is provided; thirdly, satellite mobile communication is often applied to the key moment of ground communication interruption, so that the reliability of communication performance is required to be high, and particularly, the transmission influence under various severe channel conditions can be overcome; and fourthly, the satellite communication system is required to be capable of adaptively providing user service decisions for the large-user-capacity multi-service-type communication requirements, and comprehensive optimization of user capacity and throughput is guaranteed. Therefore, for a mobile communication satellite adopting multi-beam coverage, under the conditions of limited satellite platform carrying capacity, limited frequency resources and the like, how to reduce the implementation complexity, improve the resource utilization rate and realize user capacity, communication performance and service quality which are possibly high as soon as possible becomes a problem to be solved urgently in availability, availability and good use of a satellite mobile communication system.
Chinese patent CN102752255 proposes a multi-carrier multi-access transmission method suitable for satellite mobile communication, where both uplink and downlink support orthogonal frequency division multiplexing OFDM transmission, which can realize flexible switching of multiple multi-access modes and improve power efficiency of the system; chinese patent CN103796319 proposes a frequency reuse method for downlink of multi-beam satellite mobile communication, which improves the frequency utilization of the communication system by the pre-coding interference elimination technology; chinese patent CN104320174 proposes a satellite multi-beam cooperative transmission method based on partial channel information, which realizes interference suppression and spectrum resource reuse among beams. The above patent can improve the user capacity of the satellite mobile communication system to a certain extent, but only develops a single-dimensional multiplexing technology such as frequency and space, and the like, and cannot multiplex satellite communication resources from multiple dimensions such as space-time-frequency, and the like, and does not consider bandwidth adaptive adjustment under a resource limited condition.
Disclosure of Invention
Aiming at the situation that the satellite mobile communication system resources are limited, the satellite mobile communication method based on the combination of space-time-frequency triple multiplexing and bandwidth self-adaption is provided for supporting the requirements of high-capacity users and multi-service communication, the resource use frequency can be effectively improved, higher user capacity and more flexible multi-service bearing capacity are provided, and meanwhile, the method has the characteristics that the scheme is simpler and is easy to implement.
The invention discloses a space-time-frequency triple multiplexing and bandwidth self-adapting combined satellite mobile communication method, which is realized by a satellite, a satellite user terminal and a gateway station, wherein the satellite adopts a satellite-borne multi-beam antenna to realize multi-beam coverage on the ground, and the specific steps comprise:
s1, according to the load weight, load power consumption and device process level supported by the satellite, setting the aperture of the satellite-borne multi-beam antenna, the number of feed sources and the beam forming matrix scale, and further setting the number B of beams which can be formed by the whole satelliteGeneral assemblyAnd the receiving gain of the single beam and the receiving noise equivalent temperature ratio G/T value, the G/T value is (G/T)0Represents;
s2, setting S modulation coding combinations adopted by the system, and setting the receiving threshold value corresponding to the ith combination as UiI is 1,2, …, S, multi-color multiplexing can be performed between beams by using frequency resources, the multiplexing factor is set as k, and k takes values of 1, 3, 4, 7 and 12 according to the multi-color multiplexing rule;
s3, calculating the ratio C/I value of the carrier power received by the satellite and the co-channel interference power when k takes 1, 3, 4, 7 and 12 respectively to obtain (C/I)k，k＝1、3、4、7、12；
S4, selecting UiThe maximum value of i 1,2, …, S is denoted as Ui,maxIn satisfying (C/I)k≥Ui,max+U0All of (C/I)kThe minimum K value is selected as a communication multiplexing factor, and is recorded as K0Wherein U is0A link loss margin set for a transmission loss according to a satellite communication link;
s5, the total available frequency bandwidth is marked as W, and the single beam available bandwidth W0＝W/K0；
S6, according to (G/T)0、Ui,max、(C/I)kMinimum caliber guardMaximum transmission power P of satellite user terminalmaxCalculating the maximum carrier rate R of the satellite user terminal with the minimum aperturesAnd peak information rate Rb；
S7, setting the minimum information rate requirement of the satellite user terminal as R0Calculating the number n of time division channels which can be divided by each carrier,
δRin order to be a time-domain guard interval,
represents rounding down;
s8, according to the maximum carrier rate RsAnd the frequency spectrum forming roll-off coefficient alpha is summed up, and the peak information rate R is calculatedbThe occupied channel bandwidth w ═ Rs(1+ alpha), defining the channel bandwidth w as a basic carrier, thereby calculating the number of the basic carriers which can be supported by a satellite single beam
S9, dividing satellite communication channel quality into p grades according to difference, satellite user terminal sharing q kinds of service, each kind of service having p kinds of information speed corresponding to different channel quality, sharing M ═ p.q possible information speed grades, satellite user terminal adaptively selecting proper speed from M grade speed grades to transmit service according to communication channel quality grade and service kind to be transmitted, information transmission speed of each grade is expressed as R grademM is 1,2, …, M, where M is 1,2, …, v is a narrowband service, M is v +1, v +2, …, M is a wideband service, 1 < v < M;
s10, calculating the number of basic carriers needed by the satellite user terminal service, wherein the calculation formula is as follows:
wherein m is 1,2, …,m, U is 1,2, …, U being the total number of satellite user terminals with traffic transmission requirements, Rm,uFor the mth information rate requirement of the uth satellite user terminal,
represents rounding up;
s11, calculating the optimal allocation proportion of the bandwidth and narrowband service resources, namely a bandwidth cutting factor beta, by using a multi-objective optimization algorithm;
s12, calculating the total number of basic carriers needed by the narrow-band service
Calculating the total number of basic carriers needed by broadband service
S13, if Vn-b+Vb-bC, the gateway station distributes basic carrier wave to each user terminal according to the need, otherwise, V is calculatedn-b/Vb-bIf V isn-b/Vb-bIf beta is greater than beta, the narrowband services from the last to the first are rejected in sequence in all the services received at present according to the sequence from the last to the first, until the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by a single beam, if V is greater than beta, the narrowband services from the last to the first are rejected in sequence, and if V is greater than beta, the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by the single beamn-b/Vb-bIf the sum of the number of basic carriers required by the rest services does not exceed the number of basic carriers c supportable by a single beam, sequentially rejecting the last broadband services in all the currently received services according to the sequence from last to first until the last;
therefore, the satellite mobile communication combining space-time-frequency triple multiplexing and bandwidth self-adaption under dense multi-beam coverage is completed.
The invention has the beneficial effects that: the invention realizes the optimal compromise of the frequency spectrum efficiency and the same frequency interference, and effectively improves the utilization rate of the communication resource of the system; the invention can adapt to the communication requirements of multiple information rates and multiple services such as voice, data, video and the like, supports the self-adaptive adjustment of bandwidth, and meets the requirements of users on the communication performance and the service quality of different services; the invention realizes the comprehensive optimization of the system capacity and the throughput under the condition of resource limitation.
Drawings
Fig. 1 is a flowchart of an implementation of a space-time-frequency triplex multiplexing and bandwidth adaptive method according to the present invention;
fig. 2 is a C/I analysis model of the multi-beam antenna of the present invention.
Detailed Description
For a better understanding of the present disclosure, an example is given here.
The present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the present invention describes a space-time-frequency triple multiplexing and bandwidth adaptive satellite mobile communication method, which specifically includes the following steps:
s1, according to the load weight, load power consumption and device process level supported by the satellite, setting the aperture of the satellite-borne multi-beam antenna, the number of feed sources and the beam forming matrix scale, and further setting the number B of beams which can be formed by the whole satelliteGeneral assemblyAnd the receiving gain of the single beam and the receiving noise equivalent temperature ratio G/T value, the G/T value is (G/T)0Represents;
s2, setting S modulation coding combinations adopted by the system, and setting the receiving threshold value corresponding to the ith combination as UiI is 1,2, …, S, multi-color multiplexing can be performed between beams by using frequency resources, the multiplexing factor is set as k, and k takes values of 1, 3, 4, 7 and 12 according to the multi-color multiplexing rule;
s3, calculating the ratio C/I value of the carrier power received by the satellite and the co-channel interference power when k takes 1, 3, 4, 7 and 12 respectively to obtain (C/I)kK is 1, 3, 4, 7, 12; FIG. 2 is a C/I analysis model of the multi-beam antenna of the present invention;
for any beam b in the multi-beam antenna of the same-frequency multiplexing satellite, when a user is located at the center point of the beam b, the power of a useful signal received by the user is the largest, and the power of the useful signal received by the user gradually decreases along with the deviation of the position of the user from the center point of the beam, namely the power of the useful signal changes along with the axial deviation angle theta of the position of the user relative to the beam b, and the deviation angle theta influences the power of the useful signal. When the deviation angle of the position of the user relative to the center of a certain beam in the same-frequency multiplexing satellite multi-beam antenna is theta, the receiving gain of the user is expressed as a gain function G (theta).
When the intensive multi-beam of the satellite is k-color multiplexing, when the ratio C/I value of the carrier power received by the satellite beam and the same-frequency interference power is calculated, the nearest H from the beam needs to be considered at the same time0Interference caused by the same frequency wave beam;
setting the transmitting power of a target user as P, the loss from the user to a satellite link as L, and the axial deviation angle of the position of the user relative to the beam as thetacThen, the power C of the useful signal received by the satellite is:
setting the H (H is 1,2, …, H) of the periphery of the beam where the user is located0) The loss from co-channel interference user in each co-channel beam to satellite link is LhThe axial deviation angle of the position of the user relative to the h-th same-frequency wave beam is thetahSatellite received from the periphery H0The interference signal power sum I of the same frequency wave beams is:
thus, the ratio C/I of the carrier power and the interference power received by the satellite is obtained as follows:
in general, H0＝6。
S4, selecting UiThe maximum value of i 1,2, …, S is denoted as Ui,maxIn satisfying (C/I)k≥Ui,max+U0All of (C/I)kThe minimum k value is selected as the communication multiplexing factorSub, mark K0Wherein U is0A link loss margin set for a transmission loss according to a satellite communication link;
s5, the total available frequency bandwidth is marked as W, and the single beam available bandwidth W0＝W/K0；
S6, according to (G/T)0、Ui,max、(C/I)kMaximum transmission power P of satellite user terminal with minimum aperturemaxCalculating the maximum carrier rate R of the satellite user terminal with the minimum aperturesAnd peak information rate Rb；
kbMaximum carrier rate R of satellite user terminal as Boltzmann constantsThe calculation formula of (2) is as follows:
Rs＝Pmax·(G/T)0·[U-1 i,max-(C/I)-1 K]/(kb·L)，
Ui,maxthe corresponding modulation order is X, the coding code rate is Y, and the peak information rate R of the satellite user terminalbThe calculation formula of (2) is as follows:
Rb＝Rs·X·Y；
s7, setting the minimum information rate requirement of the satellite user terminal as R0Calculating the number n of time division channels which can be divided by each carrier,
δRin order to be a time-domain guard interval,
represents rounding down;
s8, according to the maximum carrier rate RsAnd the frequency spectrum forming roll-off coefficient alpha is summed up, and the peak information rate R is calculatedbThe occupied channel bandwidth w ═ Rs(1+ alpha), defining the channel bandwidth w as a basic carrier, thereby calculating the number of the basic carriers which can be supported by a satellite single beam
S9, dividing satellite communication channel quality into p grades according to difference, satellite user terminal sharing q kinds of service, each kind of service having p kinds of information speed corresponding to different channel quality, sharing M ═ p.q possible information speed grades, satellite user terminal adaptively selecting proper speed from M grade speed grades to transmit service according to communication channel quality grade and service kind to be transmitted, information transmission speed of each grade is expressed as R grademM is 1,2, …, M, where M is 1,2, …, v is a narrowband service, M is v +1, v +2, …, M is a wideband service, 1 < v < M;
s10, calculating the number of basic carriers needed by the satellite user terminal service, wherein the calculation formula is as follows:
where M is 1,2, …, M, U is 1,2, …, U being the total number of satellite ues with traffic transmission requirements, R being the total number of satellite ues with traffic transmission requirementsm,uFor the mth information rate requirement of the uth satellite user terminal,
represents rounding up;
s11, calculating the optimal allocation proportion of the bandwidth and narrowband service resources, namely a bandwidth cutting factor beta, by using a multi-objective optimization algorithm;
when the total number of basic carriers required by the satellite user terminal in the satellite single beam exceeds the number c of basic carriers supportable by the satellite single beam, selecting service or refusing for each satellite user terminal so as to maximize user capacity NuserAnd establishing a multi-objective optimization model g (Λ) by taking the maximum throughput T as a target:
s.t.:T≤c，
wherein Λ ═ λ1,λ2,…,λU]As a matrix of decision factors, lambdauA decision factor for the u-th user, if the u-th user terminal is served, λu1, otherwise λu＝0；
According to NuserAnd the importance of the two targets, defining the weights omega of the two objective functions respectively1、ω2A weighted multi-objective optimization model g0(Λ) is expressed as:
s.t.:T≤c
solving the weighted multi-objective optimization model to obtain an optimal decision factor matrix meeting the objectives of maximizing user capacity and maximizing throughput, and recording the optimal decision factor matrix as lambdaopt＝[λopt,1,λopt,2,…,λopt,U]，λu,optAn optimal decision factor for the U-th user, U ═ 1,2, …, U;
based on the optimal decision factor matrix, calculating the total number of basic carriers allocated by the narrow-band service
And the total number of basic carriers allocated by the broadband service
Calculating a bandwidth cutting factor beta:
s12, calculating the total number of basic carriers needed by the narrow-band service
Calculating the total number of basic carriers needed by broadband service
S13, if Vn-b+Vb-bC, the gateway station distributes basic carrier wave to each user terminal according to the need, otherwise, V is calculatedn-b/Vb-bIf V isn-b/Vb-bIf beta is greater than beta, the narrowband services from the last to the first are rejected in sequence in all the services received at present according to the sequence from the last to the first, until the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by a single beam, if V is greater than beta, the narrowband services from the last to the first are rejected in sequence, and if V is greater than beta, the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by the single beamn-b/Vb-bIf the sum of the number of basic carriers required by the rest services does not exceed the number of basic carriers c supportable by a single beam, sequentially rejecting the last broadband services in all the currently received services according to the sequence from last to first until the last;
therefore, the satellite mobile communication combining space-time-frequency triple multiplexing and bandwidth self-adaption under dense multi-beam coverage is completed.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. A space-time-frequency triple multiplexing and bandwidth self-adaptive combined satellite mobile communication method is characterized by being realized by a satellite, a satellite user terminal and a gateway station, wherein the satellite adopts a satellite-borne multi-beam antenna to realize multi-beam coverage on the ground, and the method specifically comprises the following steps:
s1, according to the load weight, load power consumption and device process level supported by the satellite, setting the aperture of the satellite-borne multi-beam antenna, the number of feed sources and the beam forming matrix scale, and further setting the number B of beams which can be formed by the whole satelliteGeneral assemblyAnd the receiving gain of the single beam and the receiving noise equivalent temperature ratio G/T value, the G/T value is (G/T)0Represents;
s2, setting S modulation coding combinations adopted by the system, and setting the receiving threshold value corresponding to the ith combination as Ui，i＝1,2,…,S，The available frequency resources are subjected to multi-color multiplexing among the beams, the multiplexing factor is set to be k, and the value of k is 1, 3, 4, 7 and 12 according to the multi-color multiplexing rule;
s3, calculating the ratio C/I value of the carrier power received by the satellite and the co-channel interference power when k takes 1, 3, 4, 7 and 12 respectively to obtain (C/I)k，k＝1、3、4、7、12；
S4, selecting UiThe maximum value of i 1,2, …, S is denoted as Ui,maxIn satisfying (C/I)k≥Ui,max+U0All of (C/I)kThe minimum K value is selected as a communication multiplexing factor, and is recorded as K0Wherein U is0A link loss margin set for a transmission loss according to a satellite communication link;
s5, the total available frequency bandwidth is marked as W, and the single beam available bandwidth W0＝W/K0；
S6, according to (G/T)0、Ui,max、(C/I)kMaximum transmission power P of satellite user terminal with minimum aperturemaxCalculating the maximum carrier rate R of the satellite user terminal with the minimum aperturesAnd peak information rate Rb；
S7, setting the minimum information rate requirement of the satellite user terminal as R0Calculating the number n of time division channels which can be divided by each carrier,
δRin order to be a time-domain guard interval,
represents rounding down;
s8, according to the maximum carrier rate RsAnd the frequency spectrum forming roll-off coefficient alpha is summed up, and the peak information rate R is calculatedbThe occupied channel bandwidth w ═ Rs(1+ alpha), defining the channel bandwidth w as a basic carrier, thereby calculating the number of the basic carriers which can be supported by a satellite single beam
S9, dividing satellite communication channel quality into p grades according to difference, satellite user terminal sharing q kinds of service, each kind of service having p kinds of information speed corresponding to different channel quality, sharing M ═ p.q possible information speed grades, satellite user terminal adaptively selecting proper speed from M grade speed grades to transmit service according to communication channel quality grade and service kind to be transmitted, information transmission speed of each grade is expressed as R grademM is 1,2, …, M, where M is 1,2, …, v is a narrowband service, M is v +1, v +2, …, M is a wideband service, 1 < v < M;
s10, calculating the number of basic carriers needed by the satellite user terminal service, wherein the calculation formula is as follows:
where M is 1,2, …, M, U is 1,2, …, U being the total number of satellite ues with traffic transmission requirements, R being the total number of satellite ues with traffic transmission requirementsm,uFor the mth information rate requirement of the uth satellite user terminal,
denotes rounding up, Vm,uThe number of basic carriers required by the mth gear information transmission rate of the uth satellite user terminal;
s11, calculating the optimal allocation proportion of the bandwidth and narrowband service resources, namely a bandwidth cutting factor beta, by using a multi-objective optimization algorithm;
s12, calculating the total number of basic carriers needed by the narrow-band service
Calculating the total number of basic carriers needed by broadband service
S13, if Vn-b+Vb-bC, the gateway station distributes basic carrier wave to each user terminal according to the need, otherwise, V is calculatedn-b/Vb-bIf V isn-b/Vb-bIf beta is greater than beta, the narrowband services from the last to the first are rejected in sequence in all the services received at present according to the sequence from the last to the first, until the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by a single beam, if V is greater than beta, the narrowband services from the last to the first are rejected in sequence, and if V is greater than beta, the total number of the basic carriers required by the rest services does not exceed the number c of the basic carriers supportable by the single beamn-b/Vb-bAnd if the sum of the number of the basic carriers required by the rest services does not exceed the number of the basic carriers c supportable by a single beam, sequentially rejecting the last broadband services in all the currently received services according to the sequence from the last to the first, wherein the total number of the basic carriers required by the rest services does not exceed the number of the basic carriers c supportable by the single beam.
2. The space-time-frequency triple multiplexing and bandwidth adaptive satellite mobile communication method according to claim 1, wherein in step S3, when the deviation angle of the user' S position from the center of a certain beam in the same-frequency multiplexing satellite multi-beam antenna is θ, the reception gain of the user is represented as a gain function G (θ);
when the intensive multi-beam of the satellite is k-color multiplexing, when the ratio C/I value of the carrier power received by the satellite beam and the same-frequency interference power is calculated, the nearest H from the beam needs to be considered at the same time0Interference caused by the same frequency wave beam;
setting the transmitting power of a target user as P, the loss from the user to a satellite link as L, and the axial deviation angle of the position of the user relative to the beam as thetacThen, the power C of the useful signal received by the satellite is:
setting H, H1, 2, H around the beam where the user is located0Loss from co-channel interfering user in one co-channel beam to satellite link is LhThe axial deviation angle of the position of the user relative to the h-th same-frequency wave beam is thetahSatellite received from the periphery H0The interference signal power sum I of the same frequency wave beams is:
thus, the ratio C/I of the carrier power and the interference power received by the satellite is obtained as follows:
3. the space-time-frequency triple multiplexing and bandwidth adaptive satellite mobile communication method according to claim 1, wherein the steps S6, kbMaximum carrier rate R of satellite user terminal as Boltzmann constantsThe calculation formula of (2) is as follows:
Rs＝Pmax·(G/T)0·[U-1 i，max-(C/I)-1 K]/(kb·L)，
Ui，maxthe corresponding modulation order is X, the coding code rate is Y, and the peak information rate R of the satellite user terminalbThe calculation formula of (2) is as follows:
Rb＝Rs·X·Y。
4. the space-time-frequency triple-reuse and bandwidth-adaptive combined satellite mobile communication method according to claim 1, wherein said step S11, when the total number of basic carriers required by the satellite user terminal in the satellite single beam exceeds the number c of basic carriers supportable by the satellite single beam, selects service or rejection for each satellite user terminal to maximize user capacity NuserAnd establishing a multi-objective optimization model g (Λ) by taking the maximum throughput T as a target:
s.t.：T≤c，
wherein Λ ═ λ1，λ2，…，λU]As a matrix of decision factors, lambdauA decision factor for the u-th user, if the u-th user terminal is served, λu1, otherwise λu＝0；
According to NuserAnd the importance of the two targets, defining the weights omega of the two objective functions respectively1、ω2A weighted multi-objective optimization model g0(Λ) is expressed as:
s.t.：T≤c
solving the weighted multi-objective optimization model to obtain an optimal decision factor matrix meeting the objectives of maximizing user capacity and maximizing throughput, and recording the optimal decision factor matrix as lambdaopt＝[λopt，1，λopt，2，…，λopt，U]，λu，optAn optimal decision factor for the U-th user, U ═ 1,2, …, U;
based on the optimal decision factor matrix, calculating the total number of basic carriers allocated by the narrow-band service
And the total number of basic carriers allocated by the broadband service
Calculating a bandwidth cutting factor beta:
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