CN116567642A - Spectrum sharing method, device, equipment and storage medium - Google Patents

Spectrum sharing method, device, equipment and storage medium Download PDF

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Publication number
CN116567642A
CN116567642A CN202310834360.0A CN202310834360A CN116567642A CN 116567642 A CN116567642 A CN 116567642A CN 202310834360 A CN202310834360 A CN 202310834360A CN 116567642 A CN116567642 A CN 116567642A
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cell
network
determining
target
target user
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CN116567642B (en
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蔡博文
周子桢
张倩倩
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14—Spectrum sharing arrangements between different networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H04W16/28—Cell structures using beam steering
    • 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
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • 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
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The disclosure provides a spectrum sharing method, device, equipment and storage medium, and relates to the field of communication. The method comprises the steps of determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, and performing beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, so that the network quality of the ground network and the air-based network is improved.

Description

Spectrum sharing method, device, equipment and storage medium
Technical Field
The present disclosure relates to the field of wireless communications, and in particular, to a method, an apparatus, a device, and a storage medium for spectrum sharing.
Background
In order to realize wide area coverage and ubiquitous interconnection, space-space integrated network technology is becoming popular. In the process of the air-ground integrated network application, the lack of frequency spectrum is further in shortage because of the integration of multiple networks. Therefore, spectrum sharing technology needs to be adopted, and application of the cognitive radio technology to an air-ground integrated network has been widely studied. However, in the air-ground network, the service quality requirement of the partial network is high, and the conventional spectrum sharing technology cannot meet the requirement. On the other hand, networks whose demands have been met may have excess resources that conventional spectrum sharing techniques cannot allocate to other networks.
Disclosure of Invention
The present disclosure provides a spectrum sharing method, apparatus, device, and storage medium, which overcome, at least to some extent, the problem of low current network quality caused by spectrum sharing.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to one aspect of the present disclosure, there is provided a spectrum sharing method, including:
Determining a received signal of a target user in a first cell;
determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell;
determining a target beam forming vector of a ground network and a target beam forming vector of a space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of target users in the first cell;
and carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
In one embodiment of the present disclosure, determining, based on a preset constraint, a first preset formula, and a rate of a target user within a first cell, a target beamforming vector of a ground network and a target beamforming vector of a space-based network where a sum rate of the ground networks including the first cell is maximum, includes:
and determining a target beam forming vector of the ground network and a target beam forming vector of the space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on the preset constraint condition, the first preset formula and the rate of the target user in the first cell by a semi-definite relaxation method and a Gaussian randomization method.
In one embodiment of the present disclosure, determining, by a semi-definite relaxation method and a gaussian randomization method, a target beamforming vector of a ground network and a target beamforming vector of a space-based network in a case where a sum rate of the ground network including a first cell is maximum based on a preset constraint condition, a first preset formula, and a rate of a target user within the first cell, includes:
converting a first preset formula and preset constraints into preset forms based on a semi-preset relaxation method, wherein the preset forms can be identified by a modeling system;
iterating a preset constraint of a preset form and a first preset formula based on a modeling system;
under the condition that the auxiliary variable converges, a target beam forming matrix is obtained;
the target beamforming matrix is converted into a target beamforming vector based on a gaussian random method.
In one embodiment of the present disclosure, before determining that the sum rate of the terrestrial networks including the first cell is the largest based on the preset constraint, the first preset formula, and the rate of the target user within the first cell, the method further comprises:
Determining a receiving signal of a user corresponding to the space-based network;
determining the signal-to-interference-and-noise ratio of the corresponding user of the space-based network based on the received signal of the corresponding user of the space-based network;
determining rate data of the corresponding user of the space-based network based on the signal-to-interference-and-noise ratio of the corresponding user of the space-based network;
and determining a preset constraint condition based on the rate data of the corresponding user of the space-based network.
In one embodiment of the present disclosure, before determining that the sum rate of the terrestrial networks including the first cell is the largest based on the preset constraint, the first preset formula, and the rate of the target user within the first cell, the method further comprises:
and determining a preset constraint condition based on the interference temperature of the satellite terminal.
In one embodiment of the present disclosure, before determining that the sum rate of the terrestrial networks including the first cell is the largest based on the preset constraint, the first preset formula, and the rate of the target user within the first cell, the method further comprises:
determining the transmitting power of a base station corresponding to the first cell based on the receiving signal of the target user in the first cell;
And determining a preset constraint condition based on the transmitting power of the base station corresponding to the first cell.
In one embodiment of the present disclosure, before determining that the sum rate of the terrestrial networks including the first cell is the largest based on the preset constraint, the first preset formula, and the rate of the target user within the first cell, the method further comprises:
determining the transmitting power of a base station corresponding to the space-based network;
and determining a preset constraint condition based on the transmitting power of the base station corresponding to the space-based network.
According to another aspect of the present disclosure, there is provided a spectrum sharing apparatus including:
a first determining module, configured to determine a received signal of a target user in a first cell;
the second determining module is used for determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
a third determining module, configured to determine a rate of the target user in the first cell based on a signal-to-interference-and-noise ratio of the target user in the first cell;
a fourth determining module, configured to determine, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network in a case where a sum rate of the ground networks including the first cell is maximum;
And the shaping module is used for carrying out beam shaping on the ground network and the space-based network based on the target beam shaping vectors respectively corresponding to the ground network and the space-based network.
In one embodiment of the present disclosure, the fourth determination module includes:
a first determining unit, configured to determine, by using a semi-definite relaxation method and a gaussian randomization method, a target beamforming vector of a ground network and a target beamforming vector of a space-based network, where a sum rate of the ground networks including the first cell is maximum, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell.
In one embodiment of the present disclosure, the first determining unit includes:
the conversion subunit is used for converting a first preset formula and preset constraint into a preset form based on a semi-fixed relaxation method, and the preset form can be identified by the modeling system;
the iteration subunit is used for iterating the preset constraint of the preset form and the first preset formula based on the modeling system;
a determining subunit, configured to obtain a target beam forming matrix under the condition that the auxiliary variable converges;
a transformation subunit for transforming the target beamforming matrix into a target beamforming vector based on a gaussian random method.
In one embodiment of the present disclosure, the apparatus further comprises:
a fifth determining module, configured to determine a received signal of a corresponding user of the space-based network before determining, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network, where the sum rate of the ground networks including the first cell is maximum;
a sixth determining module, configured to determine a signal-to-interference-and-noise ratio of the user corresponding to the space-based network based on the received signal of the user corresponding to the space-based network;
a seventh determining module, configured to determine rate data of the user corresponding to the space-based network based on a signal-to-interference-and-noise ratio of the user corresponding to the space-based network;
and the eighth determining module is used for determining preset constraint conditions based on the rate data of the corresponding user of the space-based network.
In one embodiment of the present disclosure, the apparatus further comprises:
a ninth determining module, configured to determine, before determining, based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, that the sum rate of the terrestrial networks including the first cell is the largest, the target beamforming vector of the terrestrial network and the target beamforming vector of the space-based network, the preset constraint condition based on the interference temperature of the satellite terminal.
In one embodiment of the present disclosure, the apparatus further comprises:
a tenth determining module, configured to determine, based on the received signal of the target user in the first cell, a transmit power of a base station corresponding to the first cell, before determining, based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, that the sum rate of the ground network including the first cell is the largest, the target beamforming vector of the ground network and the target beamforming vector of the space-based network;
an eleventh determining module, configured to determine a preset constraint condition based on a transmission power of the base station corresponding to the first cell;
in one embodiment of the present disclosure, the apparatus further comprises:
a twelfth determining module, configured to determine, before determining, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network in a case where a sum rate of the ground network including the first cell is maximum, a transmit power of a base station corresponding to the space-based network;
and a thirteenth determining module, configured to determine a preset constraint condition based on the transmission power of the base station corresponding to the space-based network.
According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the above-described spectrum sharing method via execution of the executable instructions.
According to yet another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described spectrum sharing method.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 shows a schematic diagram of a spectrum sharing architecture in an embodiment of the disclosure.
Fig. 2 shows a flowchart of a spectrum sharing method in an embodiment of the disclosure.
Fig. 3 shows a flowchart of another spectrum sharing method in an embodiment of the disclosure.
Fig. 4 is a flowchart illustrating another spectrum sharing method according to an embodiment of the disclosure.
Fig. 5 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
Fig. 6 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
Fig. 7 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
Fig. 8 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
Fig. 9 shows a schematic diagram of a spectrum sharing apparatus in an embodiment of the disclosure.
Fig. 10 shows a block diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
In a star-to-ground fusion system, cognitive spectrum sharing has been widely studied. The spectrum sharing technology in the underlay mode mainly comprises 4 scenes, namely (a) satellite uplink and ground uplink coexist; (b) satellite downlink co-existence with ground downlink; (c) satellite uplink and ground downlink coexistence; (d) satellite downlink coexists with ground uplink. Wherein the link from the satellite to the satellite station or satellite terminal is referred to as satellite downlink.
For cognitive spectrum sharing in the underly mode, existing interference management schemes mainly include power control, beam forming, interference alignment, geographic protection and beam hopping. However, the existing cognitive spectrum sharing work in the star-ground fusion system is based on the cognitive architecture of the layer 2 system.
In the context of an air-to-ground integrated network, spectrum sharing has also been studied. However, these studies all employ conventional cognitive spectrum sharing architecture.
In an air-ground integrated network, devices from different networks belong to different operating entities and have different requirements. For example, air users, such as aircraft, often have quality of service requirements due to interference and poor channel quality from multiple base stations of the ground network. However, conventional architectures may not meet this requirement. Meanwhile, if this requirement is satisfied, the space-based user is not expected to consume more resources. When such a space-based network participates in cognitive spectrum sharing as a secondary network, excess resources may be used by other secondary networks to increase the rate. Therefore, there is a need to study cognitive spectrum sharing technology with hierarchical secondary networks for application to aerospace networks to achieve more efficient utilization of spectrum resources.
In order to solve the above problems, embodiments of the present disclosure provide a spectrum sharing method, apparatus, device, and storage medium.
To facilitate understanding, the disclosed embodiments first describe a spectrum sharing architecture.
Fig. 1 shows a schematic diagram of a spectrum sharing architecture in an embodiment of the disclosure.
As shown in fig. 1, the architecture is divided into 3 layers of networks with different priorities, namely a satellite network, namely a space-based network, an air-based network, and a ground cellular network, namely a ground-based network. The priority of the layer 3 network decreases in turn. In the disclosed embodiments, the layer 3 network considers the downlink. Specifically, in the space-based network, 1 hasThe satellite of the root antenna transmits signals to a satellite terminal of a single antenna which is positioned on the ground; in an air-based network, 1 has +.>The space-based station of the root antenna transmits signals to 1 single-antenna aircraft; in a ground-based network, consider N cells; in the nth (n= … N) cell,1 has->Ground cellular base station of the root antenna transmits signals to +.>Ground based cellular terminals with single antennas. For the sake of simplicity of the formula, the air-based network is considered as the 0 th cell, thus +.>=1。
From the firstThe channels from the base station of the cell to the kth receiver in the nth cell, the users of the space-based network, the satellite terminals are +. >，/>，/>The channels from the base station of the space-based network to the kth receiver in the nth cell, the users of the space-based network, the satellite terminals are +.>，/>，/>The channels from the satellite to the kth receiver in the nth cell, the users of the space-based network are respectively +.>，/>。
Fig. 2 shows a flowchart of a spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 2, the spectrum sharing method may include:
s210, determining a received signal of a target user in the first cell.
In some embodiments, the first cell may be any cell of a terrestrial network, and the target user may be any user within the first cell.
In some embodiments, the received signal of the target user in the first cell may be determined by the desired signal, intra-cell interference, inter-cell interference, base station interference of the space-based network, satellite interference, and noise.
S220, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell.
In some embodiments, after determining the received signal of the target user in the first cell, the signal-to-interference-and-noise ratio of the target user in the first cell may be determined based on a ratio of the effective power and the ineffective power of the received signal. For example, the power of the desired signal may be determined as the effective power, and the total power of the interference and noise of each stage may be determined as the ineffective power.
S230, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell.
S240, determining a target beam forming vector of the ground network and a target beam forming vector of the space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on the preset constraint condition, the first preset formula and the rate of the target user in the first cell.
In some implementations, the first preset formula may include an optimization formula, where variables in the optimization formula are a beamforming vector corresponding to the space-based network and a beamforming vector corresponding to the ground network, and then the variables in the optimization formula may be iterated to obtain a maximum value of the optimization formula when constraint conditions are satisfied, where the beamforming vector corresponding to the space-based network and the beamforming vector corresponding to the ground network are a target beamforming vector of the ground network and a target beamforming vector of the space-based network.
The first preset formula will be described in detail in the following embodiments, and will not be described herein.
S250, carrying out beam forming on the ground network and the space-based network based on target beam forming vectors respectively corresponding to the ground network and the space-based network.
In some embodiments, after determining the target beamforming vectors corresponding to the ground network and the air-based network, the target beamforming vectors may be sent to the ground network and the air-based network, respectively, so that the ground network and the air-based network shape the beam.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 3 shows a flowchart of another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 3, the spectrum sharing method may include:
s310, determining a received signal of a target user in a first cell;
s320, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
s330, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell;
s340, determining a target beam forming vector of the ground network and a target beam forming vector of the space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell by a semi-definite relaxation method and a Gaussian randomization method.
In some embodiments, the first preset formula reaches the maximum value based on the semi-definite relaxation method and the gaussian randomization method under the condition that the preset constraint condition is met, and then the variables at the moment are determined to be the target beam forming vector of the ground network and the target beam forming vector of the space-based network.
And S350, carrying out beam forming on the ground network and the space-based network based on target beam forming vectors respectively corresponding to the ground network and the space-based network.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 4 shows a flowchart of still another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 4, the spectrum sharing method may include:
s410, converting a first preset formula and preset constraints into preset forms based on a semi-preset relaxation method, wherein the preset forms can be identified by a modeling system.
In a writing embodiment, the first preset formula may be:
wherein ,for the actual signal-to-interference-and-noise ratio of the kth receiver in the nth cell, +.>Is the rate of the kth receiver in the nth cell.
In some embodiments, the preset constraints may include:
wherein the interference temperature of the satellite terminal can be expressed as，/>Representing the maximum interference temperature which can be tolerated by the satellite terminal; />Representing the maximum transmit power of the base station of the nth cell; />Representing the minimum signal-to-interference-and-noise ratio requirement of the kth receiver in the nth cell,/-, for the kth receiver in the nth cell>For the actual transmit power of the base station of the nth cell, is>Is the actual signal-to-interference-and-noise ratio of the kth receiver in the nth cell.
In some embodiments, the above-described preset constraints may be translated into:
converting the first preset formula into:
it should be noted that, the first preset formula and the preset constraint before transformation have been described in detail, and the transformed formula will not be described in detail herein after transformation according to the transformation method of the present disclosure.
The lower bound of the objective function of the original problem is used as the objective function of the new problem by introducing new variables and constraints related to the new variables. The constraints are converted into a form that can be handled by the CVX by performing a first order Taylor expansion on certain terms. The use of the semi-definite relaxation method introduces a non-convex rank 1 constraint.
S420, iterating the preset constraint in the preset form and the first preset formula based on the modeling system.
In some embodiments, the modeling system may include a CVX system that temporarily discards rank 1 constraints when using CVX to solve the above problems.
And S430, obtaining a target beam forming matrix under the condition that the auxiliary variable converges.
In some embodiments, after solving the converted preset constraint and the first preset formula using CVX, the auxiliary variables need to be updated：
The preset constraint converted by the semi-definite relaxation method is solved through iteration, and the auxiliary variable is updated until the auxiliary variableConvergence, an optimal beamforming matrix can be obtained>。
S440, converting the target beam forming matrix into a target beam forming vector based on a Gaussian random method.
In some embodiments, the matrix may be formed from optimal beams using Gaussian randomization techniques Beam vector of the original problem is recovered>，/>。
For example, the spectrum sharing method in the embodiment of the present disclosure may include:
step 1, setting precisionThe number of iterations t=0. Step 2. Obtaining a viable initial point +.>. And 3, repeating the following steps: t=t+1; given->And (3) solving the initial point of the step (2) by using CVX to obtain a solution:the method comprises the steps of carrying out a first treatment on the surface of the Update ∈3 based on>Up to->。
In step 2 above, a viable initiation point needs to be obtained. For this purpose, by introducing variablesAll inequality constraints of the converted preset constraint are expressed as +.>Is converted into the form +.>And the first preset formula becomes maximum +.>。
The reconverted preset constraint and the first preset formula may be:
iteratively solving the preset constraint and the first preset formula of the conversion completion by using the CVX untilA possible initial auxiliary variable +.>. The initial point search algorithm is as follows:
step 1: setting accuracyIteration number t=0, step 2, randomly giving initial point +.>. And 3, repeating the following steps: t=t+1; given->And (3) solving the initial point of the step (2) by using CVX to obtain a solution:the method comprises the steps of carrying out a first treatment on the surface of the Update ∈3 based on>Up to->Output is feasible 。
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 5 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 5, the spectrum sharing method may include:
s510, determining a received signal of a target user in a first cell;
s520, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
s530, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell.
S540, determining a received signal of the corresponding user of the space-based network.
In some embodiments, the received signal for the user of the air-based network may be a sum of the expected signal for the air-based network, interference from the terrestrial network, satellite interference, and noise.
Illustratively, the received signal of the corresponding user of the space-based network may be:
wherein the expected signal isThe interference of the base station of the foundation network is +.>The interference of satellite is->，/>Representing additive Gaussian white noise with real and imaginary variances of +.>。
S550, determining the signal-to-interference-and-noise ratio of the corresponding user of the space-based network based on the received signal of the corresponding user of the space-based network.
In some embodiments, the signal-to-interference-and-noise ratio of the corresponding user of the space-based network is:
wherein ,。
in some embodiments, the method for determining the signal-to-interference-and-noise ratio of the corresponding user of the space-based network based on the received signal of the corresponding user of the space-based network is the same as the method for determining the signal-to-interference-and-noise ratio of the target user of the first cell based on the received signal of the target user of the first cell, and is not repeated here.
S560, determining the rate data of the corresponding user of the space-based network based on the signal-to-interference-and-noise ratio of the corresponding user of the space-based network.
In some embodiments, the rate data of the corresponding user of the space-based network is。
S570, determining preset constraint conditions based on rate data of the corresponding users of the space-based network.
S580, determining a target beam forming vector of a ground network and a target beam forming vector of a space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on the preset constraint condition, the first preset formula and the rate of target users in the first cell;
and S590, carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 6 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 6, the spectrum sharing method may include:
s610, determining a received signal of a target user in a first cell;
s620, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
s630, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell.
S640, determining a preset constraint condition based on the interference temperature of the satellite terminal.
In some embodiments, the interference temperature of a satellite terminal may be expressed as:
wherein, each letter has been explained in detail in other embodiments, and will not be described here again.
S650, determining a target beamforming vector of the terrestrial network and a target beamforming vector of the space-based network in a case where a sum rate of the terrestrial networks including the first cell is maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell.
And S660, carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 7 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 7, the spectrum sharing method may include:
s710, determining a received signal of a target user in a first cell;
s720, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
s730, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell.
S740, determining the transmitting power of the base station corresponding to the first cell based on the receiving signal of the target user in the first cell.
S750, determining a preset constraint condition based on the transmitting power of the base station corresponding to the first cell.
In some embodiments, the transmit power of the base station corresponding to the first cell may be:
wherein, each letter has been explained in detail in other embodiments, and will not be described here again.
S760, determining a target beamforming vector of the terrestrial network and a target beamforming vector of the space-based network in a case where a sum rate of the terrestrial networks including the first cell is maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell.
And S770, carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Fig. 8 shows a flowchart of yet another spectrum sharing method in an embodiment of the disclosure.
As shown in fig. 8, the spectrum sharing method may include:
s810, determining a received signal of a target user in a first cell;
s820, determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
s830, determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell.
S840, determining the transmitting power of the base station corresponding to the space-based network.
S850, determining the preset constraint condition based on the transmitting power of the base station corresponding to the space-based network.
In some embodiments, the transmit power of the corresponding base station of the space-based network may be:
wherein, each letter has been explained in detail in other embodiments, and will not be described here again.
S860, determining a target beamforming vector of the terrestrial network and a target beamforming vector of the space-based network in a case where a sum rate of the terrestrial networks including the first cell is maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell.
And S870, carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
According to the spectrum sharing method provided by the embodiment of the disclosure, through determining a receiving signal of a target user in a first cell, determining a signal-to-interference-and-noise ratio of the target user in the first cell based on the receiving signal of the target user in the first cell, then determining a rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell, determining a target beam forming vector of the ground network and a target beam forming vector of the air-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of the target user in the first cell, then carrying out beam forming on the ground network and the air-based network based on the target beam forming vectors respectively corresponding to the ground network and the air-based network, and carrying out beam forming on the ground network and the air-based network, and the sum rate of the ground network can be maximized in spectrum sharing under the constraint condition that interference which a satellite terminal can bear, network quality of the air-based network and the transmitting power of a base station of the ground network and the air-based network are satisfied.
Based on the same inventive concept, the embodiments of the present disclosure also provide a spectrum sharing device, as follows. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.
Fig. 9 shows a schematic diagram of a spectrum sharing apparatus in an embodiment of the disclosure.
As shown in fig. 9, the spectrum sharing apparatus 900 may include:
a first determining module 910, configured to determine a received signal of a target user in a first cell;
a second determining module 920, configured to determine a signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
a third determining module 930, configured to determine a rate of the target user in the first cell based on a signal-to-interference-and-noise ratio of the target user in the first cell;
a fourth determining module 940, configured to determine, based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network in a case where the sum rate of the ground networks including the first cell is maximum;
and a shaping module 950, configured to perform beamforming on the ground network and the space-based network based on the target beamforming vectors respectively corresponding to the ground network and the space-based network.
In one embodiment of the present disclosure, the fourth determination module includes:
a first determining unit, configured to determine, by using a semi-definite relaxation method and a gaussian randomization method, a target beamforming vector of a ground network and a target beamforming vector of a space-based network, where a sum rate of the ground networks including the first cell is maximum, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell.
In one embodiment of the present disclosure, the first determining unit includes:
the conversion subunit is used for converting a first preset formula and preset constraint into a preset form based on a semi-fixed relaxation method, and the preset form can be identified by the modeling system;
the iteration subunit is used for iterating the preset constraint of the preset form and the first preset formula based on the modeling system;
a determining subunit, configured to obtain a target beam forming matrix under the condition that the auxiliary variable converges;
a transformation subunit for transforming the target beamforming matrix into a target beamforming vector based on a gaussian random method.
In one embodiment of the present disclosure, the apparatus further comprises:
a fifth determining module, configured to determine a received signal of a corresponding user of the space-based network before determining, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network, where the sum rate of the ground networks including the first cell is maximum;
a sixth determining module, configured to determine a signal-to-interference-and-noise ratio of the user corresponding to the space-based network based on the received signal of the user corresponding to the space-based network;
A seventh determining module, configured to determine rate data of the user corresponding to the space-based network based on a signal-to-interference-and-noise ratio of the user corresponding to the space-based network;
and the eighth determining module is used for determining preset constraint conditions based on the rate data of the corresponding user of the space-based network.
In one embodiment of the present disclosure, the apparatus further comprises:
a ninth determining module, configured to determine, before determining, based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, that the sum rate of the terrestrial networks including the first cell is the largest, the target beamforming vector of the terrestrial network and the target beamforming vector of the space-based network, the preset constraint condition based on the interference temperature of the satellite terminal.
In one embodiment of the present disclosure, the apparatus further comprises:
a tenth determining module, configured to determine, based on the received signal of the target user in the first cell, a transmit power of a base station corresponding to the first cell, before determining, based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, that the sum rate of the ground network including the first cell is the largest, the target beamforming vector of the ground network and the target beamforming vector of the space-based network;
An eleventh determining module, configured to determine a preset constraint condition based on a transmission power of the base station corresponding to the first cell;
in one embodiment of the present disclosure, the apparatus further comprises:
a twelfth determining module, configured to determine, before determining, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network in a case where a sum rate of the ground network including the first cell is maximum, a transmit power of a base station corresponding to the space-based network;
a thirteenth determining module, configured to determine a preset constraint condition based on a transmission power of a base station corresponding to the space-based network;
those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 1000 according to such an embodiment of the present disclosure is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. Components of electronic device 1000 may include, but are not limited to: the at least one processing unit 1010, the at least one memory unit 1020, and a bus 1030 that connects the various system components, including the memory unit 1020 and the processing unit 1010.
Wherein the storage unit stores program code that is executable by the processing unit 1010 such that the processing unit 1010 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 1010 may perform the following steps of the method embodiment described above:
determining a received signal of a target user in a first cell;
determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell;
determining a target beam forming vector of a ground network and a target beam forming vector of a space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of target users in the first cell;
And carrying out beam forming on the ground network and the space-based network based on the target beam forming vectors respectively corresponding to the ground network and the space-based network.
The memory unit 1020 may include readable media in the form of volatile memory units such as Random Access Memory (RAM) 10201 and/or cache memory unit 10202, and may further include Read Only Memory (ROM) 10203.
The storage unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 1030 may be representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 1000 can also communicate with one or more external devices 1040 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1050. Also, electronic device 1000 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1060. As shown, the network adapter 1060 communicates with other modules of the electronic device 1000 over the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 1000, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a remote execution unit device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure. In some possible implementations, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a remote execution unit device to carry out the steps according to the various exemplary embodiments of the present disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the remote execution unit device.
More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Alternatively, the program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile remote execution unit, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. A method of spectrum sharing, comprising:
determining a received signal of a target user in a first cell;
determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
determining the rate of the target user in the first cell based on the signal-to-interference-and-noise ratio of the target user in the first cell;
determining a target beam forming vector of a ground network and a target beam forming vector of a space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula and the rate of target users in the first cell;
and carrying out beam forming on the ground network and the space-based network based on target beam forming vectors respectively corresponding to the ground network and the space-based network.
2. The spectrum sharing method according to claim 1, wherein the determining the target beamforming vector of the terrestrial network and the target beamforming vector of the space-based network based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell in the case that the sum rate of the terrestrial networks including the first cell is maximum comprises:
And determining a target beam forming vector of the ground network and a target beam forming vector of the space-based network under the condition that the sum rate of the ground network including the first cell is maximum based on the preset constraint condition, the first preset formula and the rate of the target user in the first cell by a semi-definite relaxation method and a Gaussian randomization method.
3. The spectrum sharing method according to claim 2, wherein the determining, by the semi-definite relaxation method and the gaussian randomization method, the target beamforming vector of the ground network and the target beamforming vector of the space-based network in a case where the sum rate of the ground network including the first cell is maximum based on a preset constraint condition, a first preset formula, and a rate of the target user in the first cell, comprises:
converting the first preset formula and preset constraints into preset forms based on a semi-fixed relaxation method, wherein the preset forms can be identified by a modeling system;
iterating a first preset formula based on the preset constraint of the preset form by the modeling system;
under the condition that the auxiliary variable converges, a target beam forming matrix is obtained;
the target beamforming matrix is converted to a target beamforming vector based on a gaussian random method.
4. The spectrum sharing method according to claim 1, wherein, in the case that the sum rate of the ground networks including the first cell is determined to be maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, the method further comprises:
determining a received signal of a user corresponding to the space-based network;
determining the signal-to-interference-and-noise ratio of the space-based network corresponding user based on the received signal of the space-based network corresponding user;
determining rate data of the corresponding user of the space-based network based on the signal-to-interference-and-noise ratio of the corresponding user of the space-based network;
and determining the preset constraint condition based on the rate data of the corresponding user of the space-based network.
5. The spectrum sharing method according to claim 1, wherein, in the case that the sum rate of the ground networks including the first cell is determined to be maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, the method further comprises:
And determining the preset constraint condition based on the interference temperature of the satellite terminal.
6. The spectrum sharing method according to claim 1, wherein, in the case that the sum rate of the ground networks including the first cell is determined to be maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, the method further comprises:
determining the transmitting power of a base station corresponding to the first cell based on the receiving signal of the target user in the first cell;
and determining the preset constraint condition based on the transmitting power of the base station corresponding to the first cell.
7. The spectrum sharing method according to claim 1, wherein, in the case that the sum rate of the ground networks including the first cell is determined to be maximum based on the preset constraint condition, the first preset formula, and the rate of the target user in the first cell, the method further comprises:
determining the transmitting power of a base station corresponding to the space-based network;
And determining the preset constraint condition based on the transmitting power of the base station corresponding to the space-based network.
8. A spectrum sharing apparatus, comprising:
a first determining module, configured to determine a received signal of a target user in a first cell;
the second determining module is used for determining the signal-to-interference-and-noise ratio of the target user in the first cell based on the received signal of the target user in the first cell;
a third determining module, configured to determine a rate of the target user in the first cell based on a signal-to-interference-and-noise ratio of the target user in the first cell;
a fourth determining module, configured to determine, based on a preset constraint condition, a first preset formula, and a rate of a target user in the first cell, a target beamforming vector of the ground network and a target beamforming vector of the space-based network in a case where a sum rate of the ground networks including the first cell is maximum;
and the beamforming module is used for performing beamforming on the ground network and the space-based network based on target beamforming vectors respectively corresponding to the ground network and the space-based network.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
Wherein the processor is configured to perform the spectrum sharing method of any of claims 1-7 via execution of the executable instructions.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the spectrum sharing method of any of claims 1-7.
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Citations (3)

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