CN112583468B - Multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on MF-TDMA system - Google Patents
Multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on MF-TDMA system 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
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18513—Transmission in a satellite or space-based system
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- 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
- H04B7/18519—Operations control, administration or maintenance
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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
- H04W28/20—Negotiating bandwidth
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0446—Resources in time domain, e.g. slots or frames
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- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on an MF-TDMA system, which aims at the problem of multi-beam satellite uplink resource distribution based on the MF-TDMA system, wherein a frequency reuse rate is improved by adopting a three-color reuse mode by a multi-beam, factors such as interference among users, channel conditions and the like are considered, a satellite uplink resource distribution model is established, resources distributed to the users by a system cannot be larger than resources required by the users so as to ensure that the resources are not wasted, the difference between the resources distributed to the users by the system and actual demands cannot be too large, and the fairness among the users is ensured by the minimum supply variance of the demands. The invention fully utilizes the resources of the time slot, the bandwidth and the power by an optimization method of combining and dynamically adjusting the uplink time slot, the bandwidth and the power, shortens the difference between the user requirement and the resource allocation, improves the fairness among users to a certain extent and improves the utilization rate of the resources as much as possible.
Description
Technical Field
The invention relates to the technical field of satellite communication, in particular to an uplink resource allocation method of a multi-beam satellite, which enables the uplink resource of the satellite to be utilized to the maximum through reasonable allocation, and specifically relates to a three-dimensional joint allocation method of uplink time slots, bandwidths and powers of the multi-beam satellite based on an MF-TDMA system.
Background
Since birth, the satellite communication network has been widely used by people in the fields of communication, radio and television, aviation, maritime affairs and mobility through development of half a century. The government provides services for the national people, the army needs to establish an information combat system, enterprises need to meet the requirements of various multimedia users, consumers are eager to enjoy rapid and smooth internet experience at any time, and the demand of various industries on satellite resources is increasing. The traditional allocation mode has low resource utilization rate and does not reach the maximization of resource utilization.
In a conventional resource allocation algorithm, channels and time slots are separated, and allocation of resources is achieved by dividing carrier channels according to a first step and dividing time slots in each channel according to a second step. Although the allocation process is simplified, in the resource optimization process, fluctuation of access stability and resource waste inevitably exist in each step, and in the satellite communication system, the number of users is large, the requirement on the resource utilization rate is high, and the conventional optimization strategy has certain defects in solving the problem, which is not favorable for fast allocation of resources and easily causes resource waste and time delay increase.
The invention provides a three-dimensional joint allocation method of time slots, bandwidths and power aiming at the problem of multi-beam satellite uplink resource allocation based on an MF-TDMA system, and establishes a satellite uplink resource allocation model by considering factors such as interference among users, channel conditions and the like. The resources allocated to the users by the system cannot be larger than the resources required by the users so as to ensure that the resources are not wasted, the resources allocated to the users by the system cannot be greatly different from the actual requirements, the fairness among the users is ensured by the minimum requirement supply variance, and the optimal solution is solved by Lagrange duality theory and sub-gradient iteration. The invention fully utilizes the resources of the time slot, the bandwidth and the power, shortens the difference between the user requirement and the time slot allocation, improves the fairness among users to a certain extent and improves the utilization rate of the resources as much as possible by the optimization method of the combined dynamic adjustment of the uplink time slot, the bandwidth and the power.
Disclosure of Invention
The invention provides a multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on an MF-TDMA system, aiming at the problem of resource distribution of a multi-beam satellite network based on the MF-TDMA system.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on an MF-TDMA system, which comprises the following steps:
step 1, a satellite user communicates with a network control center and sends a request resource packet to the network control center, wherein the request resource packet comprises the total amount of data to be sent by the user and the service type;
step 2, after receiving the request resource packet of the user, the network control center extracts the total amount of data and the service type to be sent by the user, and initializes the values of time, bandwidth and power to be allocated to the user according to the received resource allocation application value and the current corresponding channel condition of each user;
step 3, the network control center updates the time slot distribution value of each user through a formula according to the initial values of the time slot number, the bandwidth and the power of the user, then updates the power distribution value of the user, and finally updates the bandwidth distribution value of the user, wherein a new group of values of the time slot number, the bandwidth and the power are obtained at the moment;
step 4, comparing the updated three-dimensional resource value with a preset update error threshold of the resource allocation parameter; if not, updating the current distribution value of the three-dimensional resource through each updating operator, continuously and iteratively executing the step 3, comparing the obtained new value with the preset updating error threshold of the resource distribution parameter, if the new value is within the preset updating error threshold of the resource distribution parameter, outputting a group of current values, namely the optimal values under the current condition, and then outputting relevant parameter values of time slots, bandwidth, power and the like of the user;
and 5, finally, the network control center outputs the obtained result to obtain a resource allocation result of the next period, the result is distributed to each user through a forward broadcast signaling channel, and each user makes corresponding preparation according to the information sent by the network control center.
Further, the network control center described in step 2 receives the resource request packet of the user, and the signal to interference plus noise ratio thereof can be described as formula (1) according to the current channel state
Wherein, the actual power value obtained by the ith user is p i The obtained actual bandwidth value is W i And all of the spot beam noise power spectral densities in the communication transmission are N 0 The attenuation factor of the link of the channel in which the ith user is located is
In addition, it is also considered that user i is influenced by user k, h ik Represents the interference coefficient, p, generated by user k to user i k Actual power values obtained for the kth user;
the resource expression distributed to the user i by the computing system in the step of the invention by utilizing the Shannon formula is the formula (2)
U i ＝T i *W i *log 2 (1+SINR i ) (2)
Wherein, U i Actual amount of resources, W, acquired by the ith user i Is the actual bandwidth value obtained.
Further, in step 3, updating the time slot allocation value of each user through a formula (3), updating the power allocation value of the user through a formula (4), and finally updating the bandwidth allocation value of the user through a formula (5), wherein a new group of values of time slot number, bandwidth and power are obtained;
the formula is described in detail as follows:
the corresponding time slot number T to be allocated to each user after updating is obtained by the following formula (3) i ；
Wherein, T i For being allocated to each after updatingThe number of corresponding time slots allocated to an individual user,
amount of resources, σ, requested by the ith user i One of the nonnegative dual variables is used for iteratively updating the value, W i The bandwidth value is actually allocated to the user i, and m is also one of non-negative dual variables and is also used for iteratively updating the numerical value;
p can be obtained by the following formula (4) i Namely the updated power value distributed by each user;
wherein, T i The number of corresponding time slots, W, allocated to each user after updating i One of the non-negative dual variables is used for iteratively updating the numerical value;
w can be obtained by the following formula (5) i Namely, the bandwidth values obtained by each user after updating;
wherein p is i And one of the variables mu is a non-negative dual variable used for iteratively updating the numerical value for the power value allocated to each updated user.
Further, in step 4, the dual variable is iteratively updated, the m update operator can be expressed as formula (6), the μ update operator can be expressed as formula (7), the l update operator can be expressed as formula (8), and σ is updated i The update operator can be expressed as equation (9);
wherein the content of the first and second substances,
is the parameter T i The step size of the update of (a),
is a parameter W i The step size of the update of (a),
is a parameter p i The update step size of (a) is,
is parameter U i The update step size of (c).
Further, in step 5, the updated values of the parameters are compared with the termination condition to judge whether the expected target is met, if the expected target is met, the updating is stopped, the current group of values, namely the optimal values under the current condition, are output, and then the current group of values are distributed to each user through a forward signaling channel for communication; otherwise, continuing to iteratively execute the step 2; the judgment rule of the termination condition can be said to be expressed by the following formulas (10) to (12):
wherein epsilon 1 ，ε 2 ，ε 3 Is a preset updating error threshold of three resource allocation parameters. When the threshold is reached, the iterative updating is stopped, and the optimal solution at the moment is output.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention considers the factors of interference between users, channel conditions and the like, and establishes a satellite uplink resource allocation model; the resources allocated to the users by the system cannot be larger than the resources required by the users so as to ensure that the resources are not wasted, the resources allocated to the users by the system cannot be greatly different from the actual requirements, and the fairness among the users is ensured due to the minimum requirement supply variance; and solving the optimal solution through Lagrange dual theory and sub-gradient iteration.
2. The invention fully utilizes the resources of the time slot, the bandwidth and the power, shortens the difference between the user requirement and the time slot allocation, improves the fairness among users to a certain extent and improves the utilization rate of the resources as much as possible by the optimization method of the combined dynamic adjustment of the uplink time slot, the bandwidth and the power.
Drawings
FIG. 1 is a flow chart of resource allocation according to the present invention;
FIG. 2 is a block diagram of the system of the present invention;
FIG. 3 is a flowchart of iterative computation of resources.
The specific implementation mode is as follows:
example 1
The technical method comprises the following steps: the multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on the MF-TDMA system comprises the following steps:
step 1, a satellite user communicates with a network control center and sends a request resource to the network control center, wherein the request resource packet comprises the total amount of data to be sent by the user and the service type;
step 2, the network control center extracts the total amount of data and the service type to be sent by the user after receiving the request packet of the user, and initializes the values of time, bandwidth and power to be allocated to the user according to the received resource allocation application value and the current corresponding channel condition of each user;
the method for calculating the SINR of the user according to the current channel state at this step of the present invention can be described as formula (1)
Wherein, the actual power value obtained by the ith user is p i The obtained actual bandwidth value is W i And all of the spot beam noise power spectral densities in the communication transmission are N 0 The attenuation factor of the link of the channel in which the ith user is located is
In addition, it is also considered that user i is influenced by user k, h ik Represents the interference coefficient, p, generated by user k to user i k Actual power values obtained for the kth user;
the resource expression distributed to the user i by the computing system in the step of the invention by utilizing the Shannon formula is the formula (2)
U i ＝T i *W i *log 2 (1+SINR i ) (2)
Wherein, U i Actual amount of resources, W, acquired by the ith user i Is the actual bandwidth value obtained;
step 3, solving the number of the corresponding time slots which should be allocated to each user after updating by using the following formula (3);
wherein, T i The corresponding number of time slots allocated to each user after updating,
amount of resource, σ, requested by the ith user i One of the nonnegative dual variables is used for iteratively updating the value, W i The bandwidth value is actually allocated to the user i, and m is also one of non-negative dual variables and is also used for iteratively updating the numerical value;
p can be obtained by the following formula (4) i Namely the updated power value distributed by each user;
wherein, T i Number of corresponding time slots, W, allocated to each user after updating i One of the nonnegative dual variables is used for iteratively updating the numerical value;
w can be obtained by the following formula (5) i Namely, the updated bandwidth values obtained by the users;
wherein p is i One of the variables mu is a non-negative dual variable and is used for iteratively updating the numerical value for the power value distributed to each user after updating;
step 4, iteratively updating the dual variables, wherein m updating operator can be expressed as formula (6), μ updating operator can be expressed as formula (7), l updating operator can be expressed as formula (8), and σ updating operator i The update operator can be expressed as equation (9);
wherein the content of the first and second substances,
is the parameter T i The update step size of (a) is,
is a parameter W i The step size of the update of (a),
is a parameter p i The step size of the update of (a),
is parameter U i The update step size of.
Step 5, comparing the updated values of the parameters with the termination condition to judge whether the parameters meet the expected target, if so, stopping updating, outputting the current group of values which are the optimal values under the current condition, and then distributing the values to each user through a forward signaling channel for communication use; otherwise, continuing to iteratively execute the step 3; the judgment rule of the termination condition can be said to be expressed by the following formulas (10) to (12):
wherein epsilon 1 ，ε 2 ，ε 3 Is a preset updating error threshold of three resource allocation parameters; when the threshold is reached, the iterative updating is stopped, and the optimal solution at the moment is output.
The working principle of the invention is as follows: the invention provides a three-dimensional joint allocation method for time slots, bandwidths and power, aiming at the problem of uplink resource allocation of a multi-beam satellite based on an MF-TDMA system. A multi-beam satellite network is shown in figure 1. The multi-beam of the invention adopts a three-color multiplexing mode to improve the frequency multiplexing rate. Factors such as interference between users and channel conditions are considered, and a satellite uplink resource allocation model is established. The resources allocated to the users by the system cannot be larger than the resources required by the users so as to ensure that the resources are not wasted, the resources allocated to the users by the system cannot be greatly different from the actual requirements, and the fairness among the users is ensured by the minimum requirement supply variance; and solving the optimal solution through Lagrange dual theory and sub-gradient iteration.
In conclusion, the invention fully utilizes the resources of the time slot, the bandwidth and the power by the optimization method of the combined dynamic adjustment of the uplink time slot, the bandwidth and the power, shortens the difference between the user requirement and the time slot allocation, improves the fairness among the users to a certain extent, and improves the utilization rate of the resources as much as possible.
Claims (2)
1. A multi-beam satellite uplink time slot, bandwidth and power three-dimensional joint distribution method based on an MF-TDMA system is characterized by comprising the following steps:
step 1, a satellite user communicates with a network control center and sends a request resource packet to the network control center, wherein the request resource packet comprises the total amount of data to be sent by the user and the service type;
step 2, after receiving the request resource packet of the user, the network control center extracts the total amount of data and the service type to be sent by the user, and initializes the values of time, bandwidth and power to be allocated to the user according to the received resource allocation application value and the current corresponding channel condition of each user; wherein, the network control center receives the resource request packet of the user, and the signal to interference plus noise ratio is described as formula (1) according to the current channel state
Wherein, the actual power value obtained by the ith user is p i The obtained actual bandwidth value is W i And all the spot beam noise power spectral densities in the communication transmission are N 0 The attenuation factor of the link of the channel in which the ith user is located is
h ik Represents the interference coefficient, p, generated by user k to user i k Actual power values obtained for the kth user;
the resource expression distributed to the user i by the calculation system of the shannon formula rule step is the formula (2)
U i ＝T i *W i *log 2 (1+SINR i ) (2)
Wherein, U i Actual amount of resources, W, obtained for the ith user i Is the actual bandwidth value obtained;
step 3, the network control center updates the time slot distribution value of each user through a formula according to the initial values of the time slot number, the bandwidth and the power of the user, then updates the power distribution value of the user, and finally updates the bandwidth distribution value of the user, wherein a new group of values of the time slot number, the bandwidth and the power are obtained at the moment; calculating the number of corresponding time slots which should be allocated to each user after updating by using the following formula (3);
wherein, T i The corresponding number of time slots allocated to each user after updating,
amount of resources, σ, applied for the ith user i One of the nonnegative dual variables is used for iteratively updating the value, W i The bandwidth value is actually allocated to the user i, and m is also one of non-negative dual variables and is also used for iteratively updating the numerical value;
p can be obtained by the following formula (4) i Namely the updated power value distributed by each user;
wherein, T i Number of corresponding time slots, W, allocated to each user after updating i One of non-negative dual variables is used for iteratively updating the value for the bandwidth value actually distributed to the user i;
w can be obtained by the following formula (5) i Namely, the updated bandwidth values obtained by the users;
wherein p is i One of the variables mu is a non-negative dual variable and is used for iteratively updating the numerical value for the power value distributed to each user after updating;
step 4, comparing the updated three-dimensional resource value with a preset update error threshold of the resource allocation parameter; if the current three-dimensional resource distribution value is not within the preset update error threshold of the resource distribution parameter, updating the current three-dimensional resource distribution value through each update operator, continuously and iteratively executing the step 3, comparing the obtained new value with the preset update error threshold of the resource distribution parameter, if the current three-dimensional resource distribution value is within the preset update error threshold of the resource distribution parameter, outputting a group of current values which are optimal values under the current condition, and then outputting the time slot, bandwidth and power parameter values of the user; iteratively updating the dual variables, wherein m updates the operator as formula (6), μ updates the operator as formula (7), l updates the operator as formula (8), σ updates the operator i The update operator is expressed as formula (9);
wherein the content of the first and second substances,
is the parameter T i The step size of the update of (a),
is a parameter W i The step size of the update of (a),
is a parameter p i The update step size of (a) is,
is parameter U i The update step length of (2);
and 5, the network control center outputs the result obtained in the step 4 to obtain a resource allocation result of the next period, the result is distributed to each user through a forward broadcast signaling channel, and each user makes corresponding preparation according to the information sent by the network control center.
2. The method for the three-dimensional joint allocation of the uplink timeslots, bandwidths and powers of the multi-beam satellite based on the MF-TDMA scheme according to claim 1, wherein the step 4 determines whether the desired target is met by comparing the updated values of the respective parameters with the termination condition, and if the desired target is met with the termination condition, the updating is stopped, the current set of values, which are the optimal values under the current condition, is output, and then the current set of values is distributed to the respective users through the forward signaling channel for communication use; otherwise, continuing to iteratively execute the step 3; the judgment rule of the termination condition is expressed by the following formulas (10) to (12):
wherein epsilon 1 ，ε 2 ，ε 3 Is a preset updating error threshold of three resource allocation parameters; when the threshold is reached, the iterative update is stopped, and the optimal solution at the moment is output.
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