CN116170040A - Intelligent reflector optimization method, device, system, medium and program product - Google Patents

Intelligent reflector optimization method, device, system, medium and program product Download PDF

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CN116170040A
CN116170040A CN202310019284.8A CN202310019284A CN116170040A CN 116170040 A CN116170040 A CN 116170040A CN 202310019284 A CN202310019284 A CN 202310019284A CN 116170040 A CN116170040 A CN 116170040A
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phase shift
target
optimization
intelligent
intelligent reflecting
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CN116170040B (en
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沈闓明
徐凡
姚嘉魏
赖文海
李鑫
陈昕
罗智泉
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Huawei Technologies Co Ltd
Chinese University of Hong Kong Shenzhen
Shenzhen Research Institute of Big Data SRIBD
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Huawei Technologies Co Ltd
Chinese University of Hong Kong Shenzhen
Shenzhen Research Institute of Big Data SRIBD
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/005Control of transmission; Equalising
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621Feedback content
    • H04B7/0626Channel coefficients, e.g. channel state information [CSI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0802Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using antenna selection
    • H04B7/0817Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using antenna selection with multiple receivers and antenna path selection
    • H04B7/082Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station using antenna selection with multiple receivers and antenna path selection selecting best antenna path
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The application discloses an intelligent reflector optimization method, device, system, medium and program product, and belongs to the technical field of wireless communication. The method comprises the following steps: receiving an optimization instruction aiming at a target intelligent reflecting surface and sent by a sequence coordinator; optimizing the phase shift array of the target intelligent reflecting surface based on the optimizing instruction, wherein the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged in the process of optimizing the phase shift array of the target intelligent reflecting surface; and sending optimization completion information to the sequence coordinator to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence, or to instruct the sequence coordinator to determine to stop optimizing the phase shift arrays of the plurality of intelligent reflecting surfaces based on the optimization sequence. The technical scheme provided by the embodiment of the application can be used for carrying out joint optimization on a plurality of intelligent reflecting surfaces.

Description

Intelligent reflector optimization method, device, system, medium and program product
Technical Field
The present disclosure relates to the field of wireless communications technologies, and in particular, to an intelligent reflection surface optimization method, apparatus, system, medium, and program product.
Background
In wireless communications, obstruction can significantly attenuate the wireless signal strength, thereby limiting the coverage of the wireless signal. Although this problem can be alleviated by increasing the number of base stations, this also results in an increase in operation costs and energy consumption. One effective way to solve the above problems is the smart reflector technology. The intelligent reflecting surface is a plane composed of a large number of passive reflecting units with low cost. By varying the phase shift value of the reflecting element, the phase of the communication signal passing through the reflecting element can be adjusted.
In practical application, in order to ensure the working effect of the intelligent reflecting surface, the phase shift value of each reflecting unit on the intelligent reflecting surface needs to be set, and this process can also be called as an optimization process of the intelligent reflecting surface. However, the current mainstream research on smart reflector technology is limited to wireless communication networks that include a single smart reflector. In an actual wireless communication network, the network structure is complex, the coverage area is large, and the gain effect of a single intelligent reflecting surface is limited. Therefore, in order to ensure the service quality of the wireless communication network, it is highly desirable to provide an optimization method for multiple intelligent reflection surfaces.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a smart reflector optimization method, apparatus, system, medium, and program product for a plurality of smart reflectors.
In a first aspect, the present application provides an intelligent reflection surface optimization method for use in a phase shift processor, the method comprising:
receiving an optimization instruction aiming at a target intelligent reflecting surface, which is sent by a sequence coordinator, wherein the optimization instruction is sent when the sequence coordinator determines that the target intelligent reflecting surface is the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized; optimizing the phase shift array of the target intelligent reflecting surface based on the optimizing instruction, wherein in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of all reflecting units in the intelligent reflecting surfaces; and sending optimization completion information to the sequence coordinator to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence, or instruct the sequence coordinator to determine to stop optimizing the phase shift arrays of the plurality of intelligent reflecting surfaces based on the optimization sequence.
In one embodiment, the optimizing the phase shift array of the target intelligent reflecting surface based on the optimizing instruction includes: determining an optimized phase shift array of the target intelligent reflecting surface according to a preset optimization strategy based on the optimization instruction; and sending a first phase shift instruction to a phase shift controller based on the optimized phase shift array, wherein the first phase shift instruction is used for instructing the phase shift controller to adjust a phase shift value of a target reflection unit in the target intelligent reflection surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface.
In one embodiment, the determining, based on the optimization instruction, the optimized phase shift array of the target intelligent reflection surface according to a preset optimization strategy includes: transmitting a second phase shift instruction to the phase shift controller, wherein the second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of a target reflection unit in the target intelligent reflection surface so as to configure different target phase shift arrays on the target intelligent reflection surface; and acquiring communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface, and determining the optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
In one embodiment, the target smart reflecting surface is configured to reflect a communication signal, where the communication signal is a signal sent by a transmitter to a receiver, and the acquiring communication quality information corresponding to each of the target phase shift arrays when the target phase shift arrays are configured on the target smart reflecting surface includes: and for each target phase shift array, determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflecting surface.
In one embodiment, the determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflection surface includes: when the number of the receivers is 1, the target phase shift array is configured on the target intelligent reflecting surface, measurement information obtained by measuring communication signals received by 1 receiver is used as the communication quality information corresponding to the target phase shift array; when the number of the receivers is plural, the target phase shift array is configured on the target intelligent reflecting surface, a plurality of pieces of measurement information obtained by measuring communication signals received by the plural receivers are statistically processed, and a result of the statistical processing is used as the communication quality information corresponding to the target phase shift array.
In one embodiment, the communication quality information is a numerical value, and the determining the optimized phase shift array according to the communication quality information corresponding to each target phase shift array includes: determining a plurality of candidate phase shift values which can be supported by each target reflection unit in the target intelligent reflection surface; for each target reflection unit, determining a condition expected value corresponding to each candidate phase shift value supported by the target reflection unit based on communication quality information corresponding to each target phase shift array, and determining an optimized phase shift value from each candidate phase shift value supported by the target reflection unit according to the condition expected value corresponding to each candidate phase shift value supported by the target reflection unit; and determining the optimized phase shift array according to the optimized phase shift value of each target reflection unit.
In one embodiment, the determining, based on the communication quality information corresponding to each of the target phase shift arrays, a conditional expectation value corresponding to each candidate phase shift value that can be supported by the target reflection unit includes: and for each candidate phase shift value supported by the target reflection unit, determining a hit phase shift array from a plurality of target phase shift arrays based on the candidate phase shift values, wherein the phase shift value of the target reflection unit in the hit phase shift array is the same as the candidate phase shift value, and determining a condition expected value corresponding to the candidate phase shift value based on communication quality information corresponding to the hit phase shift array.
In one embodiment, the determining, according to the condition expected values corresponding to the candidate phase shift values supported by the target reflection unit, an optimized phase shift value from the candidate phase shift values supported by the target reflection unit includes: taking the candidate phase shift value with the maximum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit as the optimized phase shift value; or, the candidate phase shift value with the minimum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit is used as the optimized phase shift value.
In a second aspect, an intelligent reflection surface optimization method is provided, and is used in a sequence coordinator, and the method includes:
acquiring an optimization sequence of a plurality of intelligent reflecting surfaces to be optimized; based on the optimization sequence, sequentially sending optimization instructions to a phase shift processor for each intelligent reflection surface; the optimization instruction is configured to instruct the phase shift processor to perform optimization processing on a phase shift array of an intelligent reflecting surface for which the optimization instruction is directed, where during optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, and the phase shift arrays include phase shift values of reflection units in the intelligent reflecting surfaces.
In one embodiment, the sending, based on the optimization order, optimization instructions to the phase shift processor sequentially for each of the intelligent reflection planes includes: and if a certain intelligent reflecting surface is not arranged at the first position in the optimization sequence, after receiving the optimization completion information sent for the last intelligent reflecting surface, sending an optimization instruction to the phase shift processor for the certain intelligent reflecting surface.
In one embodiment, before the obtaining the optimization order of the plurality of intelligent reflecting surfaces to be optimized, the method further includes: determining a target communication link in a communication system, the target communication link being comprised of a transmitter, a plurality of intelligent reflective surfaces, and a receiver; and taking the plurality of intelligent reflecting surfaces in the target communication link as the plurality of intelligent reflecting surfaces to be optimized.
In one embodiment, the communication system includes the transmitter, the receiver, and a plurality of candidate smart reflective surfaces, the determining a target communication link in the communication system includes: determining line-of-sight communication link information between the transmitter and each candidate intelligent reflection surface, between any two candidate intelligent reflection surfaces and between the receiver and each candidate intelligent reflection surface; and determining the target communication link in the communication system according to the line-of-sight communication link information.
In one embodiment, the determining the target communication link in the communication system according to the line-of-sight communication link information includes: acquiring a plurality of candidate communication links according to the line-of-sight communication link information, wherein a preset line-of-sight communication link condition is met between any two adjacent devices in the candidate communication links; and taking the candidate communication link with the shortest path as the target communication link.
In one embodiment, the obtaining the optimization order of the plurality of intelligent reflecting surfaces to be optimized includes any one of the following ways:
determining the optimized sequence according to the sequence from the near to the far from the transmitter;
determining the optimized sequence according to the sequence from far to near to the transmitter;
determining the optimized sequence in a sequence from far to near to the receiver;
determining the optimization sequence according to the sequence from the near to the far from the receiver;
determining the optimization sequence according to the identification of the plurality of intelligent reflecting surfaces to be optimized;
determining the optimization sequence according to sequence indication information sent by other equipment;
determining the optimization sequence according to a preset sequence determination rule;
The optimization order is randomly determined.
In a third aspect, an intelligent reflection surface optimization method is provided, and the method is used in a phase shift controller, and includes: receiving a first phase shift instruction sent by a phase shift processor; responding to the first phase shift instruction, and adjusting a phase shift value of a target reflection unit in a target intelligent reflection surface according to an optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface; the optimization phase shift array is determined according to a preset optimization strategy after the optimization instruction sent by the sequence coordinator aiming at the target intelligent reflecting surface is received, the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, and in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
In one embodiment, before the receiving the first phase shift instruction sent by the phase shift processor, the method further includes: receiving a second phase shift instruction sent by the phase shift processor; and adjusting the phase shift value of the target reflecting unit in the target intelligent reflecting surface based on the second phase shift instruction so as to configure different target phase shift arrays on the target intelligent reflecting surface, wherein the different target phase shift arrays are used for the phase shift processor to determine the optimized phase shift array.
In a fourth aspect, an intelligent reflection surface optimization apparatus is provided, for use in a phase shift processor, the apparatus comprising:
the receiving module is used for receiving an optimization instruction aiming at a target intelligent reflecting surface, which is sent by the sequence coordinator, wherein the optimization instruction is sent when the sequence coordinator determines that the target intelligent reflecting surface is the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized;
the optimization module is used for optimizing the phase shift array of the target intelligent reflecting surface based on the optimization instruction, wherein in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of reflecting units in the intelligent reflecting surfaces;
and the sending module is used for sending optimization completion information to the sequence coordinator so as to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence, or instruct the sequence coordinator to determine to stop optimizing the phase shift arrays of the plurality of intelligent reflecting surfaces based on the optimization sequence.
In one embodiment, the optimizing module is specifically configured to: determining an optimized phase shift array of the target intelligent reflecting surface according to a preset optimization strategy based on the optimization instruction; and sending a first phase shift instruction to a phase shift controller based on the optimized phase shift array, wherein the first phase shift instruction is used for instructing the phase shift controller to adjust a phase shift value of a target reflection unit in the target intelligent reflection surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface.
In one embodiment, the optimizing module is specifically configured to: transmitting a second phase shift instruction to the phase shift controller, wherein the second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of a target reflection unit in the target intelligent reflection surface so as to configure different target phase shift arrays on the target intelligent reflection surface; and acquiring communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface, and determining the optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
In one embodiment, the target intelligent reflecting surface is used for reflecting a communication signal, wherein the communication signal is a signal sent by a transmitter to a receiver, and the optimizing module is specifically used for: and for each target phase shift array, determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflecting surface.
In one embodiment, the optimizing module is specifically configured to: when the number of the receivers is 1, the target phase shift array is configured on the target intelligent reflecting surface, measurement information obtained by measuring communication signals received by 1 receiver is used as the communication quality information corresponding to the target phase shift array; when the number of the receivers is plural, the target phase shift array is configured on the target intelligent reflecting surface, a plurality of pieces of measurement information obtained by measuring communication signals received by the plural receivers are statistically processed, and a result of the statistical processing is used as the communication quality information corresponding to the target phase shift array.
In one embodiment, the communication quality information is a numerical value, and the optimization module is specifically configured to: determining a plurality of candidate phase shift values which can be supported by each target reflection unit in the target intelligent reflection surface; for each target reflection unit, determining a condition expected value corresponding to each candidate phase shift value supported by the target reflection unit based on communication quality information corresponding to each target phase shift array, and determining an optimized phase shift value from each candidate phase shift value supported by the target reflection unit according to the condition expected value corresponding to each candidate phase shift value supported by the target reflection unit; and determining the optimized phase shift array according to the optimized phase shift value of each target reflection unit.
In one embodiment, the optimizing module is specifically configured to: and for each candidate phase shift value supported by the target reflection unit, determining a hit phase shift array from a plurality of target phase shift arrays based on the candidate phase shift values, wherein the phase shift value of the target reflection unit in the hit phase shift array is the same as the candidate phase shift value, and determining a condition expected value corresponding to the candidate phase shift value based on communication quality information corresponding to the hit phase shift array.
In one embodiment, the optimizing module is specifically configured to: taking the candidate phase shift value with the maximum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit as the optimized phase shift value; or, the candidate phase shift value with the minimum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit is used as the optimized phase shift value.
In a fifth aspect, there is provided an intelligent reflective surface optimization apparatus for use in a sequence coordinator, the apparatus comprising:
the acquisition module is used for acquiring the optimization sequence of the plurality of intelligent reflecting surfaces to be optimized;
the sending module is used for sending an optimization instruction to the phase shift processor for each intelligent reflection surface in turn based on the optimization sequence;
The optimization instruction is configured to instruct the phase shift processor to perform optimization processing on a phase shift array of an intelligent reflecting surface for which the optimization instruction is directed, where during optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, and the phase shift arrays include phase shift values of reflection units in the intelligent reflecting surfaces.
In one embodiment, the sending module is specifically configured to: and if a certain intelligent reflecting surface is not arranged at the first position in the optimization sequence, after receiving the optimization completion information sent for the last intelligent reflecting surface, sending an optimization instruction to the phase shift processor for the certain intelligent reflecting surface.
In one embodiment, the apparatus further comprises a determination module; the determining module is used for: determining a target communication link in a communication system, the target communication link being comprised of a transmitter, a plurality of intelligent reflective surfaces, and a receiver; and taking the plurality of intelligent reflecting surfaces in the target communication link as the plurality of intelligent reflecting surfaces to be optimized.
In one embodiment, the communication system includes the transmitter, the receiver, and a plurality of candidate smart reflective surfaces, and the determining module is specifically configured to: determining line-of-sight communication link information between the transmitter and each candidate intelligent reflection surface, between any two candidate intelligent reflection surfaces and between the receiver and each candidate intelligent reflection surface; and determining the target communication link in the communication system according to the line-of-sight communication link information.
In one embodiment, the determining module is specifically configured to: acquiring a plurality of candidate communication links according to the line-of-sight communication link information, wherein a preset line-of-sight communication link condition is met between any two adjacent devices in the candidate communication links; and taking the candidate communication link with the shortest path as the target communication link.
In one embodiment, the obtaining module is specifically configured to any one of the following:
determining the optimized sequence according to the sequence from the near to the far from the transmitter;
determining the optimized sequence according to the sequence from far to near to the transmitter;
determining the optimized sequence in a sequence from far to near to the receiver;
determining the optimization sequence according to the sequence from the near to the far from the receiver;
determining the optimization sequence according to the identification of the plurality of intelligent reflecting surfaces to be optimized;
determining the optimization sequence according to sequence indication information sent by other equipment;
determining the optimization sequence according to a preset sequence determination rule;
the optimization order is randomly determined.
In a sixth aspect, an intelligent reflective surface optimization apparatus is provided, for use in a phase shift controller, the method comprising:
The receiving module is used for receiving the first phase shift instruction sent by the phase shift processor;
the adjusting module is used for responding to the first phase shift instruction and adjusting the phase shift value of the target reflecting unit in the target intelligent reflecting surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflecting surface;
the optimization phase shift array is determined according to a preset optimization strategy after the optimization instruction sent by the sequence coordinator aiming at the target intelligent reflecting surface is received, the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, and in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
In one embodiment, the receiving module is further configured to: receiving a second phase shift instruction sent by the phase shift processor;
the adjusting module is further configured to adjust a phase shift value of a target reflection unit in the target intelligent reflection surface based on the second phase shift instruction, so as to configure different target phase shift arrays on the target intelligent reflection surface, where the different target phase shift arrays are used for the phase shift processor to determine the optimized phase shift array.
In a seventh aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory storing a computer program, the processor implementing the method according to any one of the first aspects when executing the computer program, or implementing the method according to any one of the second aspects when executing the computer program, or implementing the method according to any one of the third aspects when executing the computer program.
In an eighth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which when executed by a processor implements the method according to any of the first aspects described above, or which when executed by a processor implements the method according to any of the second aspects described above, or which when executed by a processor implements the method according to any of the third aspects described above.
In a ninth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the method according to any of the first aspects described above, or which, when executed by a processor, implements the method according to any of the second aspects described above, or which, when executed by a processor, implements the method according to any of the third aspects described above.
According to the intelligent reflecting surface optimization method, device, system, medium and program product, the sequence coordinator sequentially sends the optimization instructions for the intelligent reflecting surfaces to the phase shift processor according to the optimization sequence of the intelligent reflecting surfaces, the phase shift processor performs optimization processing on the phase shift arrays of the corresponding intelligent reflecting surfaces according to the received optimization instructions after receiving the optimization instructions for the intelligent reflecting surfaces, wherein in the process of performing optimization processing on the phase shift arrays of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise the phase shift values of all reflecting units in the intelligent reflecting surfaces.
Drawings
FIG. 1 is a diagram of an implementation environment for a smart reflector optimization method in one embodiment;
FIG. 2 is a diagram of an implementation environment for a smart reflector optimization method in one embodiment;
FIG. 3 is a diagram of an implementation environment for a smart reflector optimization method in one embodiment;
FIG. 4 is a diagram of an implementation environment for a smart reflector optimization method in one embodiment;
FIG. 5 is a flow chart of a method of intelligent reflector optimization in one embodiment;
FIG. 6 is a flow diagram of a method for optimizing a phase shift array of a target smart reflective surface by a phase shift processor in one embodiment;
FIG. 7 is a flow chart of a method of a phase shift processor determining an optimized phase shift array in one embodiment;
FIG. 8 is a flow chart of a method for a phase shift processor to determine an optimized phase shift array based on communication quality information corresponding to each target phase shift array in one embodiment;
FIG. 9 is a flow chart of a method of intelligent reflector optimization in one embodiment;
FIG. 10 is a flow diagram of a method for a sequence coordinator to determine a plurality of intelligent reflective surfaces to be optimized in one embodiment;
FIG. 11 is a flow chart of a method of intelligent reflector optimization in one embodiment;
FIG. 12 is a flow chart of a method of intelligent reflector optimization in one embodiment;
FIG. 13 is a flow chart of a method of intelligent reflector optimization in one embodiment;
FIG. 14 is a block diagram of a smart reflector optimization device in one embodiment;
FIG. 15 is a block diagram of a smart reflector optimizing apparatus in one embodiment;
FIG. 16 is a block diagram of a smart reflector optimizing apparatus in one embodiment;
FIG. 17 is a block diagram of a smart reflector optimizing apparatus in one embodiment;
fig. 18 is an internal structural view of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In wireless communications, obstruction can significantly attenuate the wireless signal strength, thereby limiting the coverage of the wireless signal. Although this problem can be alleviated by increasing the number of base stations, this also results in an increase in operation costs and energy consumption. One effective way to solve the above problems is to introduce a smart reflector in the communication system.
The intelligent reflecting surface is a plane composed of a large number of passive reflecting units with low cost. By varying the phase shift value of the reflecting element, the phase of the communication signal passing through the reflecting element can be adjusted. This process may be expressed in the following mathematical language: let the phase shift value of the nth reflecting unit in the intelligent reflecting surface be theta n Channel h passing through the reflecting unit n The phase shift becomes
Figure BDA0004041830700000051
The communication signal x becomes +_ after passing through the channel>
Figure BDA0004041830700000052
Compared with the communication signal h output by the channel without phase shift n X, realize a value of θ n Is used for the phase shift of (a).
By encoding each reflection unit, i.e. adjusting the phase shift value of each reflection unit, the intelligent reflection surface can: 1) The power of the received signal is improved, and the coverage range of the base station is expanded; 2) The interference signal strength is reduced, and the user experience is improved; 3) The multipath of a wireless channel is increased, the channel correlation is reduced, and the signal shielding effect on a special user area is realized; 4) Uplink and downlink joint optimization is realized in a wireless communication system; 5) On the premise of unchanged signal quality, the transmitting power of the base station can be reduced, and the energy-saving effect of the network is enhanced.
Generally, the intelligent reflection surface is suitable for being deployed in a scene where a base station is difficult to build and a signal coverage dead angle is large, for example, an outdoor scene such as a long-distance tunnel, a urban area where a high building stands, an indoor scene such as an office building and a house, or a scene of communication between satellites. As described above, by providing the intelligent reflecting surface, the channel quality can be improved, the useful signal strength can be improved, the interference influence can be reduced, and the coverage area of the base station can be improved. For example, in a long-distance tunnel, a plurality of intelligent reflecting surfaces can be sequentially arranged in the tunnel at intervals, and the reflection of signals in the tunnel is utilized to eliminate dead angles of wireless signals and improve network coverage rate. In a house, if WiFi is placed in a living room, a plurality of intelligent reflecting surfaces can be additionally placed at the entrance of other rooms such as bedrooms and study rooms, and the wireless communication rate of each room is improved. In space-sky communication, the intelligent reflecting surfaces are arranged on all satellites, so that on one hand, the communication quality of the whole satellite system can be improved on the premise of not increasing the energy consumption of satellite communication, and on the other hand, the signal quality leaked to an hostile satellite system can be weakened, and the safety is improved.
In practical application, in order to ensure the working effect of the intelligent reflecting surface, the phase shift value of each reflecting unit on the intelligent reflecting surface needs to be set, and this process may also be called as an optimization process of the intelligent reflecting surface. However, the current mainstream research on smart reflector technology is limited to wireless communication networks that include a single smart reflector. In an actual wireless communication network, the network structure is complex, the coverage area is large, and the gain effect of a single intelligent reflecting surface is limited. Therefore, in order to ensure the service quality of the wireless communication network, it is highly desirable to provide an optimization method for multiple intelligent reflection surfaces.
The following will describe an implementation environment related to the intelligent reflection surface optimization method provided in the embodiment of the present application.
Referring to fig. 1, a schematic diagram of an implementation environment provided in an embodiment of the present application is shown in fig. 1, where the implementation environment includes a transmitter 101, a receiver 102, a plurality of intelligent reflection surfaces 103, a phase shift processor 104, a phase shift controller 105, a signal processor 106, and a sequence coordinator 107.
The transmitter 101 may be a device having a signal transmitting function in a wireless communication network, for example, the transmitter 101 may be a base station, a terminal, or the like, and the receiver 102 may be a device having a signal receiving function in a wireless communication network, for example, the receiver 102 may be a base station, a terminal, or the like.
The plurality of intelligent reflecting surfaces 103 are used for reflecting signals emitted by the transmitter 101 or for reflecting signals reflected by other intelligent reflecting surfaces 103 again, and the signals emitted by the transmitter 101 can be reflected to the receiver 102 by the reflection of the plurality of intelligent reflecting surfaces 103.
It should be noted that although only two intelligent reflecting surfaces 103 are shown in fig. 1, in practical applications, more intelligent reflecting surfaces than two intelligent reflecting surfaces 103 may be included, and the number of intelligent reflecting surfaces 103 is not limited in the embodiments of the present application.
It should also be noted that the smart reflecting surface 103 in fig. 1 is a smart reflecting surface to be optimized, and may include all smart reflecting surfaces in the wireless communication network, or may include only a part of the smart reflecting surfaces in the wireless communication network, for example, assuming that the wireless communication network includes 10 smart reflecting surfaces in total, the present application may implement an environment in which only 3 smart reflecting surfaces are involved, and the 3 smart reflecting surfaces are smart reflecting surfaces that need to be optimized, and of course, in some cases, all 10 smart reflecting surfaces may be involved in the present application, and in this case, all 10 smart reflecting surfaces are all smart reflecting surfaces that need to be optimized.
It should also be noted that the plurality of smart reflective surfaces 103 in fig. 1 are smart reflective surfaces located on the same communication link.
As shown in fig. 1, the sequence coordinator 107 is connected to the phase shift processor 104, and is configured to sequentially send optimization instructions for each of the intelligent reflection surfaces 103 to the phase shift processor 104 according to the optimization sequence of the plurality of intelligent reflection surfaces 103, so as to instruct the phase shift processor 104 to sequentially perform optimization processing on the plurality of intelligent reflection surfaces 103 according to the received optimization instructions.
The signal processor 106 is connected to the receiver 102 and the phase shift processor 104, respectively, and is configured to measure a communication signal received by the receiver 102 to obtain measurement information, and send the measurement information to the phase shift processor 104, so that the phase shift processor 104 performs an optimization process on the intelligent reflection surface 103 according to the measurement information.
Each intelligent reflecting surface 103 has a corresponding phase shift controller 105, each phase shift controller 105 is connected to a phase shift processor 104, and the phase shift processor 104 is used for controlling the phase shift controller 105 to optimize the intelligent reflecting surface 103, wherein the functions of the phase shift controller 105 include controlling the reflecting units in the intelligent reflecting surface to change the phase shift value. For example, the phase shift processor 104 may control the phase shift controller 105 corresponding to the intelligent reflection surface a to adjust the phase shift value of the reflection unit in the intelligent reflection surface a, thereby realizing the optimization of the intelligent reflection surface a.
In alternative embodiments of the present application, all or a portion of the phase shift processor 104, the phase shift controller 105, the signal processor 106, and the sequence coordinator 107 may be integrated together as one device. In alternative embodiments of the present application, the signal processor 106 and the receiver 102 may be integrated together as one device. In alternative embodiments of the present application, the phase shift controller 105 and its corresponding smart reflective surface 103 may be integrated together as one device.
It should be noted that, the integration manner of the devices in the embodiment of the present application may be various, and the embodiment of the present application is not limited thereto, so long as each device may implement the functions of the transmitter 101, the receiver 102, the plurality of intelligent reflection surfaces 103, the phase shift processor 104, the phase shift controller 105, the signal processor 106, and the sequence coordinator 107, which are separately disposed or integrated together, and are considered to fall within the protection scope of the present application.
Referring to fig. 2, a schematic diagram of another implementation environment provided by an embodiment of the present application is shown, where the implementation environment shown in fig. 2 is substantially similar to the implementation environment shown in fig. 1, except that a plurality of receivers 102 are included in the implementation environment shown in fig. 2, that is, the implementation environment shown in fig. 1 corresponds to a single user scenario, and the implementation environment shown in fig. 2 corresponds to a multi-user scenario.
It should be noted that the multiple receivers 102 in fig. 2 may be different receivers, or the same receiver may be disposed at different positions and/or different frequency bands in different periods, which is not specifically limited in the embodiments of the present application.
It should be noted that although only two receivers 102 are shown in fig. 2, the reader should understand that in practical applications, more than two receivers 102 may be included, and the number of receivers is not limited in the embodiments of the present application.
It should be further noted that, although each receiver 102 is provided with a corresponding signal processor 106 in fig. 2, in practical applications, the signal processors 106 may be provided in a many-to-one manner, that is, a plurality of receivers 102 may share one signal processor 106, and the arrangement manner and number of the signal processors 106 are not specifically limited in the embodiment of the present application.
It should be further noted that, in fig. 2, each signal processor 106 is connected to the phase shift processor 104, and each signal processor 106 may send measurement information obtained by measuring the communication signal received by the receiver 102 to the phase shift processor 104, so that the phase shift processor 104 performs optimization processing on the intelligent reflection surface 103 according to the measurement information.
Referring to fig. 3 and 4, schematic diagrams of two other implementation environments provided in the embodiments of the present application are shown, where the implementation environment shown in fig. 3 is substantially similar to the implementation environment shown in fig. 1, and the implementation environment shown in fig. 4 is substantially similar to the implementation environment shown in fig. 2, and a difference is that the implementation environments shown in fig. 3 and 4 include a plurality of phase shift processors 104, where the plurality of phase shift processors 104 are in one-to-one correspondence with the plurality of smart reflection surfaces 103, and the phase shift processors 104 in fig. 3 and 4 are connected to the phase shift controllers 105 of the corresponding smart reflection surfaces 103.
It is readily understood that in the implementation environments shown in fig. 1 and 2, 1 phase shift processor 104 comprised by the implementation environment is responsible for the optimization of all the intelligent reflective surfaces 103, whereas in the implementation environments shown in fig. 3 and 4, a plurality of phase shift processors 104 comprised by the implementation environment are responsible for the optimization of the corresponding intelligent reflective surfaces 103. Generally, the arrangement of the phase shift processor 104 in the implementation environment shown in fig. 1 and 2 may be referred to as a centralized arrangement, while the arrangement of the phase shift processor 104 in the implementation environment shown in fig. 3 and 4 may be referred to as a distributed arrangement.
Referring to fig. 5, an intelligent reflection surface optimization method provided in an embodiment of the present application may be applied to a phase shift processor in the implementation environment shown in fig. 1 to 4, and as shown in fig. 5, the intelligent reflection surface optimization method includes the following steps:
step 501, receiving an optimization instruction aiming at a target intelligent reflecting surface, which is sent by a sequence coordinator.
In an alternative embodiment of the present application, the sequence coordinator may obtain an optimization sequence of a plurality of intelligent reflection surfaces to be optimized, and sequentially send an optimization instruction for each intelligent reflection surface to the phase shift processor according to the optimization sequence, for example, assuming that there are 3 intelligent reflection surfaces to be optimized, namely, an intelligent reflection surface a, an intelligent reflection surface B and an intelligent reflection surface C, the optimization sequence determined by the sequence coordinator is: the sequence coordinator can firstly send an optimization instruction aiming at the intelligent reflecting surface B to the phase shift processor, after the intelligent reflecting surface B is optimized, the sequence coordinator can send an optimization instruction aiming at the intelligent reflecting surface A to the phase shift processor, and after the intelligent reflecting surface A is optimized, the sequence coordinator can send an optimization instruction aiming at the intelligent reflecting surface C to the phase shift processor.
It should be noted that in the case of a central arrangement of phase shift processors, the implementation environment includes only 1 phase shift processor, which is responsible for the optimization of all intelligent reflection surfaces, in which case the order coordinator sends an optimization instruction for each intelligent reflection surface to the phase shift processor.
In the case that the arrangement mode of the phase shift processors is a distributed arrangement mode, the implementation environment comprises a plurality of phase shift processors corresponding to the intelligent reflecting surfaces to be optimized one by one, the plurality of phase shift processors are responsible for optimizing the corresponding intelligent reflecting surfaces, and in the case, an optimization instruction of the sequence coordinator for each intelligent reflecting surface is sent to the phase shift processor corresponding to each intelligent reflecting surface. For example, the order coordinator may send the optimization instruction for the intelligent reflection plane a to the phase shift processor corresponding to the intelligent reflection plane a, the order coordinator may send the optimization instruction for the intelligent reflection plane B to the phase shift processor corresponding to the intelligent reflection plane B, and the order coordinator may send the optimization instruction for the intelligent reflection plane C to the phase shift processor corresponding to the intelligent reflection plane C.
The target smart reflection surface in step 501 is any one of a plurality of smart reflection surfaces to be optimized, and in step 501, the phase shift processor may receive an optimization instruction for the target smart reflection surface sent by the sequence coordinator, where the optimization instruction is sent when the sequence coordinator determines that the target smart reflection surface is a smart reflection surface that needs to be optimized currently based on an optimization sequence of the plurality of smart reflection surfaces to be optimized.
It should be noted that, in the case where the arrangement of the phase shift processors is the central arrangement, the phase shift processor that receives the optimization instruction for the target smart reflection surface (and the phase shift processor that performs the subsequent steps) may be the phase shift processor that is only included in the implementation environment, and in the case where the arrangement of the phase shift processors is the distributed arrangement, the phase shift processor that receives the optimization instruction for the target smart reflection surface (and the phase shift processor that performs the subsequent steps) may be the phase shift processor that corresponds to the target smart reflection surface.
Step 502, optimizing the phase shift array of the target intelligent reflecting surface based on the optimizing instruction.
The phase shift array comprises phase shift values of reflection units in the intelligent reflection surface. The purpose of optimizing the phase shift array of the target intelligent reflecting surface is as follows: an optimized phase shift array (i.e., an optimal or superior phase shift array) of the target smart reflective surface is determined and configured on the target smart reflective surface.
In an alternative embodiment of the present application, during the optimization processing of the phase shift array of the target intelligent reflection surface, the phase shift array of the target intelligent reflection surface may be changed, so that the phase shift processor determines the optimized phase shift array of the target intelligent reflection surface through the change of the phase shift array of the target intelligent reflection surface, thereby implementing the optimization processing of the target intelligent reflection surface, and meanwhile, during the optimization processing of the phase shift array of the target intelligent reflection surface, the phase shift arrays of other intelligent reflection surfaces in the plurality of intelligent reflection surfaces remain unchanged.
For example, assuming that there are 3 intelligent reflecting surfaces to be optimized, namely, an intelligent reflecting surface a, an intelligent reflecting surface B and an intelligent reflecting surface C, in the process of optimizing the phase shift array of the intelligent reflecting surface a, the phase shift array of the intelligent reflecting surface a can be changed, and the phase shift processor determines the optimized phase shift array of the intelligent reflecting surface a through the change of the phase shift array of the intelligent reflecting surface a, so that the optimization of the intelligent reflecting surface a is realized, and meanwhile, in the process of optimizing the phase shift array of the intelligent reflecting surface a, the phase shift arrays of the intelligent reflecting surface B and the intelligent reflecting surface C remain unchanged.
Step 503, sending optimization completion information to the order coordinator to instruct the order coordinator to send an optimization instruction for the next intelligent reflection plane based on the optimization order, or instruct the order coordinator to determine to stop performing optimization processing on the phase shift arrays of the plurality of intelligent reflection planes based on the optimization order.
In an alternative embodiment of the present application, the phase shift processor may send the optimization completion information to the sequence coordinator after the optimization process of the target intelligent reflection surface is completed, that is, after determining the optimized phase shift array of the target intelligent reflection surface and configuring the optimized phase shift array on the target intelligent reflection surface.
If the target intelligent reflecting surface is the last in the optimization sequence, the sequence coordinator may stop the optimization processing of the phase shift arrays of the plurality of intelligent reflecting surfaces after receiving the optimization completion information, that is, the sequence coordinator may end the optimization flow, and if the target intelligent reflecting surface is not the last in the optimization sequence, the sequence coordinator may send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence after receiving the optimization completion information.
For example, assuming that there are 3 intelligent reflection surfaces to be optimized, namely an intelligent reflection surface a, an intelligent reflection surface B and an intelligent reflection surface C, the optimization order determined by the order coordinator is: the phase shift processor can send optimization completion information to the sequence coordinator after the intelligent reflection surface B completes optimization processing, the sequence coordinator can send optimization instructions for the intelligent reflection surface A to the phase shift processor after receiving the optimization completion information, the phase shift processor can send optimization completion information to the sequence coordinator after the intelligent reflection surface A completes optimization processing, the sequence coordinator can send optimization instructions for the intelligent reflection surface C to the phase shift processor after receiving the optimization completion information, the phase shift processor can send optimization completion information to the sequence coordinator after the intelligent reflection surface C completes optimization processing, and the sequence coordinator can end the optimization flow after receiving the optimization completion information.
Based on the description of step 503, it is easy to understand that "the order coordinator determines that the target smart reflection surface is the smart reflection surface that currently needs to be optimized based on the optimization order of the plurality of smart reflection surfaces to be optimized" mentioned in step 501 may be: and the sequence coordinator receives the optimization completion information of the last intelligent reflecting surface of the target intelligent reflecting surface.
According to the intelligent reflecting surface optimization method, the sequence coordinator sequentially sends optimization instructions for all intelligent reflecting surfaces to the phase shift processor according to the optimization sequence of the intelligent reflecting surfaces, the phase shift processor performs optimization processing on the phase shift arrays of the corresponding intelligent reflecting surfaces according to the received optimization instructions after receiving the optimization instructions for all intelligent reflecting surfaces, wherein in the process of performing optimization processing on the phase shift arrays of certain intelligent reflecting surfaces, the phase shift arrays of other intelligent reflecting surfaces in the intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of all reflecting units in the intelligent reflecting surfaces.
Referring to fig. 6, an exemplary method for optimizing a phase shift array of a target smart reflective surface by a phase shift processor is shown, and as shown in fig. 6, the method includes the steps of:
step 601, determining an optimized phase shift array of the target intelligent reflecting surface according to a preset optimization strategy based on the optimization instruction.
As described above, the optimized phase shift array refers to an optimal or superior phase shift array.
It should be noted that, the embodiment of the present application does not specifically limit the optimization strategy, as long as the phase shift processor can determine the optimized phase shift array of the target intelligent reflecting surface based on a certain optimization strategy, and all strategies that can enable the phase shift processor to determine the optimized phase shift array of the target intelligent reflecting surface should fall within the protection scope of the present application.
Step 602, a first phase shift instruction is sent to a phase shift controller based on an optimized phase shift array.
As described above, the function of the phase shift controller includes controlling the reflective elements in the smart reflective surface to change the phase shift value, and based on the function of the phase shift controller, the phase shift processor may send a first phase shift instruction to the phase shift controller to instruct the phase shift controller to adjust the phase shift value of the target reflective element in the target smart reflective surface according to the optimized phase shift array to configure the optimized phase shift array to the target smart reflective surface.
It should be noted that the phase shift controller in step 602 is a phase shift controller corresponding to the target smart reflective surface.
Referring to fig. 7, an exemplary method for determining an optimized phase shift array by a phase shift processor is shown, that is, an exemplary optimization strategy is shown in fig. 7, and as shown in fig. 7, the method includes the steps of:
Step 701, sending a second phase shift instruction to the phase shift controller.
It should be noted that the phase shift controller in step 701 is a phase shift controller corresponding to the target smart reflective surface. The second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of the target reflecting unit in the target intelligent reflecting surface so as to configure different target phase shift arrays on the target intelligent reflecting surface.
In an alternative embodiment of the present application, the same codebook is stored in both the phase shift processor and the phase shift controller, where the codebook may include a plurality of candidate phase shift arrays that can be supported by the target smart reflective surface, and based on the second phase shift instruction, the phase shift controller may determine a plurality of target phase shift arrays from the plurality of candidate phase shift arrays, where the plurality of target phase shift arrays may be a part or all of the plurality of candidate phase shift arrays, and then the phase shift controller may adjust a phase shift value of a target reflective unit in the target smart reflective surface, so as to configure different target phase shift arrays to the target smart reflective surface.
For example, assuming that the codebook includes 100 candidate phase shift arrays, the phase shift controller may determine 10 candidate phase shift arrays as target phase shift arrays from the 100 candidate phase shift arrays based on the second phase shift instruction, and then, the phase controller may respectively configure the 10 target phase shift arrays on the target smart reflection surface by adjusting the phase shift values of the target reflection units in the target smart reflection surface.
In one possible implementation, the second phase shift instruction may carry a phase shift array identification (e.g., the phase shift array identification may be an index), and the phase shift controller may extract the phase shift array identification after receiving the second phase shift instruction, and determine a plurality of target phase shift arrays corresponding to the phase shift array identification from a plurality of candidate phase shift arrays included in a codebook based on the phase shift array identification.
In another possible implementation, the policy of determining the target phase shift array from the codebook may be predetermined by negotiation or specified by a communication protocol, and the phase shift controller may determine the plurality of target phase shift arrays from the codebook according to the predetermined policy or specified by the communication protocol after receiving the second phase shift instruction sent by the phase shift processor.
Step 702, obtaining communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface, and determining an optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
In an alternative embodiment of the present application, after each target phase shift array is configured on the target smart reflection surface, the phase shift processor obtains communication quality information, and uses the obtained communication quality information as communication quality information corresponding to the currently configured target phase shift array.
For example, assuming that there are 3 target phase shift arrays, the phase shift processor may acquire communication quality information when the 1 st target phase shift array is configured on the target smart reflection surface, and use the acquired communication quality information as communication quality information corresponding to the 1 st target phase shift array, the phase shift processor may acquire communication quality information when the 2 nd target phase shift array is configured on the target smart reflection surface, and use the acquired communication quality information as communication quality information corresponding to the 2 nd target phase shift array, and the phase shift processor may acquire communication quality information when the 3 rd target phase shift array is configured on the target smart reflection surface, and use the acquired communication quality information as communication quality information corresponding to the 3 rd target phase shift array.
After the communication quality information corresponding to each target phase shift array is obtained, the phase shift processor can determine the optimized phase shift array of the target intelligent reflecting surface according to the communication quality information corresponding to each target phase shift array.
In an alternative embodiment of the present application, for each target phase shift array, the communication quality information corresponding to the target phase shift array is determined according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflection surface, in other words, the communication quality information may be determined according to measurement information obtained by measuring the communication signal received by the receiver.
As can be seen from the above description, the implementation environment of the embodiments of the present application includes a signal processor, where the signal processor may measure a communication signal received by the receiver to obtain measurement information, and may send the measurement information to the phase shift processor, and then the phase shift processor may obtain communication quality information according to the measurement information sent by the signal processor.
For example, assuming that there are 3 target phase shift arrays, the signal processor may measure the communication signal received by the receiver when the 1 st target phase shift array is configured on the target smart reflection surface to obtain measurement information, and send the measurement information to the phase shift processor, so that the phase shift processor determines the communication quality information according to the measurement information, and uses the communication quality information as communication quality information corresponding to the 1 st target phase shift array, the signal processor may measure the communication signal received by the receiver when the 2 nd target phase shift array is configured on the target smart reflection surface to obtain measurement information, and send the measurement information to the phase shift processor, so that the phase shift processor determines the communication quality information according to the measurement information, uses the communication quality information as communication quality information corresponding to the 2 nd target phase shift array, and sends the measurement information to the phase shift processor, so that the signal processor determines the communication quality information corresponding to the 3 rd target phase shift array, and uses the communication quality information as communication quality information corresponding to the 2 nd target phase shift array.
In one possible implementation, in order to avoid that other factors affect the communication quality information, it may be ensured that the transmission power of the transmitter and the signal strength of the communication signal transmitted by the transmitter remain unchanged when configuring the respective target phase shift array.
Of course, in another possible implementation, the transmission power of the transmitter and the signal strength of the communication signal transmitted by the transmitter may not be limited, and in this case, the communication quality information may be corrected to eliminate the influence of the inconsistency of the transmission power and/or the signal strength on the communication quality information.
It should be further noted that the embodiments of the present application may be applied to SISO scenarios, where the measurement information may be information obtained according to RSRP, SINR, etc., or MIMO scenarios, where the measurement information may be information according to spectral efficiency of a receiver, etc., or information obtained according to other physical quantities. In an alternative embodiment of the present application, the measurement information may be a numerical value for facilitating subsequent calculations.
It should also be noted that the embodiments of the present application may be applicable to a single-user scenario (the number of receivers is 1) or may be applicable to a multi-user scenario (the number of receivers is multiple). When the number of the receivers is 1, measurement information obtained by measuring communication signals received by the 1 receivers is used as communication quality information corresponding to the target phase shift array when the target phase shift array is configured on the target intelligent reflecting surface, and when the number of the receivers is multiple, statistics processing is performed on multiple measurement information obtained by measuring communication signals received by the multiple receivers when the target phase shift array is configured on the target intelligent reflecting surface, and the result of the statistics processing is used as communication quality information corresponding to the target phase shift array.
Wherein the statistical processing above may include: the averaging process, the maximum value process, the minimum value process, the variance process, and the like, which are not particularly limited in the embodiment of the present application.
In order to facilitate the reader to understand the technical solutions provided by the embodiments of the present application, the embodiments of the present application will respectively illustrate the manner in which the communication quality information is determined in the single user scenario and the multi-user scenario.
Single user scenario:
assuming that there are 3 target phase shift arrays, the signal processor may measure the communication signal received by the receiver when the 1 st target phase shift array is configured on the target intelligent reflection surface to obtain measurement information, and send the measurement information to the phase shift processor, the phase shift processor may directly use the measurement information as communication quality information, and use the communication quality information as communication quality information corresponding to the 1 st target phase shift array, the signal processor may measure the communication signal received by the receiver when the 2 nd target phase shift array is configured on the target intelligent reflection surface to obtain measurement information, and send the measurement information to the phase shift processor, the phase shift processor may directly use the measurement information as communication quality information, and use the communication quality information as communication quality information corresponding to the 2 nd target phase shift array, the signal processor may directly use the measurement information as communication quality information, and use the communication quality information corresponding to the 3 rd target phase shift array as communication quality information, and send the measurement information to the phase shift processor.
Multi-user scenario:
assuming that there are 3 target phase shift arrays, 3 receivers, and 3 signal processors corresponding to the 3 receivers one by one, each signal processor may measure a communication signal received by its corresponding receiver when the 1 st target phase shift array is configured on the target smart reflection surface to obtain measurement information and send the measurement information to the phase shift processor, the phase shift processor may obtain 3 measurement information, then the phase shift processor may statistically process (for example, perform averaging processing) on the 3 measurement information, after obtaining an average value, the phase shift processor may take the average value as communication quality information, and use the communication quality information as communication quality information corresponding to the 1 st target phase shift array, each signal processor may measure a communication signal received by its corresponding receiver when the 2 nd target phase shift array is configured on the target smart reflection surface to obtain measurement information, and send the measurement information to the phase shift processor, the phase shift processor may obtain 3 measurement information, then the phase shift processor may statistically process the 3 measurement information (for example, perform averaging processing) on the 3 measurement information, and send the communication quality information as communication quality information corresponding to the 3 rd target phase shift array, and send the communication quality information corresponding to the 3 phase shift array to the corresponding to the target phase shift array when the 2 nd target phase shift array is configured on the target smart reflection surface, and then the phase shift processor may perform statistical processing (for example, averaging processing) on the 3 measurement information, and after obtaining an average value, the phase shift processor may use the average value as communication quality information, and use the communication quality information as communication quality information corresponding to the 3 rd target phase shift array.
It should be noted that most of the prior studies assume that the core network can obtain all information of the channel from the transmitting end to the intelligent reflecting surface and the channel from the intelligent reflecting surface to the receiving end when optimizing the intelligent reflecting surface, however, this assumption lacks realistic consideration: 1) The large-scale deployment and the large-scale MIMO of the base station make the channel model in the real communication scene very complex, and the multipath is also very abundant, so that the signal incoming wave direction is difficult to determine; 2) The physical distance of each reflecting unit on the intelligent reflecting surface is close, so that the channel states of the reflection passing through different reflecting units are close, and the difficulty of accurately estimating the states of all the channels is increased; 3) In order to obtain channel information from a transmitting end to an intelligent reflecting surface and from the intelligent reflecting surface to a receiving end, the existing channel estimation strategy needs the intelligent reflecting surface to feed back received pilot signals in real time, so that an independent information transmission link is required between the intelligent reflecting surface and a base station, the intelligent reflecting surface also needs signal receiving and processing functions, but the current network protocol architecture does not support the settings; 4) Even if information interaction is allowed between the intelligent reflection surface and the base station, the construction cost and network energy consumption of the intelligent reflection surface are increased, so that the intelligent reflection surface is difficult to deploy on a large scale.
Based on the above practical considerations, in the embodiment of the present application, when the target intelligent reflecting surface is optimized, that is, when the optimized phase shift array of the target intelligent reflecting surface is determined, the communication quality information is utilized, and is not dependent on the channel information, where the communication quality information can be obtained according to the measurement information of the signal received by the signal processor to the receiver, so that the method provided in the embodiment of the present application does not need to rely on the channel information and the information interaction between the base station and the intelligent reflecting surface, and only needs the signal processor to measure the signal received by the receiver.
In an alternative embodiment of the present application, the communication quality information may be a numerical value, and please refer to fig. 8, which illustrates an exemplary method for determining, by the phase shift processor, an optimized phase shift array according to the communication quality information corresponding to each target phase shift array, as shown in fig. 8, the method includes the following steps:
step 801, determining a plurality of candidate phase shift values supported by each target reflection unit in the target intelligent reflection surface.
In practical applications, the candidate phase shift values that can be supported by the reflective element of the smart reflective surface are limited, e.g., in one case, the candidate phase shift values that can be supported by the reflective element of the smart reflective surface include both 0 and pi. In step 801, for each target reflecting element in the target smart reflecting surface, the phase shift processor obtains a plurality of candidate phase shift values that it can support.
Step 802, for each target reflection unit, determining, based on the communication quality information corresponding to each target phase shift array, a condition expected value corresponding to each candidate phase shift value that can be supported by the target reflection unit, and determining, according to the condition expected value corresponding to each candidate phase shift value that can be supported by the target reflection unit, an optimized phase shift value from each candidate phase shift value that can be supported by the target reflection unit.
For example, for the nth target reflection unit in the target intelligent reflection surface, the candidate phase shift values that can be supported by the nth target reflection unit include two values of 0 and pi, for 0, the phase shift processor may determine the condition expected value corresponding to the candidate phase shift unit according to the communication quality information corresponding to each target phase shift array, for pi, the phase shift processor may determine the condition expected value corresponding to each target phase shift array according to the communication quality information corresponding to each target phase shift array, and after obtaining the condition expected value corresponding to 0 and the condition expected value corresponding to pi, the optimal phase shift value of the nth target reflection unit may be determined from 0 and pi according to the condition expected value corresponding to 0 and the condition expected value corresponding to pi, for example, the optimal phase shift value is 0.
In the following, an exemplary manner of determining a conditional expectation value corresponding to a candidate phase shift value will be provided in the embodiments of the present application.
Optionally, for each candidate phase shift value supported by a certain target reflection unit, determining a hit phase shift array from a plurality of target phase shift arrays based on the candidate phase shift value, wherein the phase shift value of the certain target reflection unit in the hit phase shift array is the same as the candidate phase shift value, and then determining a condition expected value corresponding to the candidate phase shift value based on communication quality information corresponding to the hit phase shift array.
For example, for the nth target reflection unit in the target intelligent reflection surface, the candidate phase shift values that can be supported by the nth target reflection unit include 0 and pi, for 0, the phase shift processor needs to determine a hit phase shift array from a plurality of target phase shift arrays, where the phase shift value of the nth target reflection unit in the hit phase shift array is 0, after obtaining the hit phase shift array, the phase shift processor may obtain communication quality information corresponding to the hit phase shift array, and obtain a condition expected value corresponding to 0 based on the communication quality information corresponding to the hit phase shift array, for pi, the phase shift processor also needs to determine a hit phase shift array from a plurality of target phase shift arrays, where the phase shift value of the nth target reflection unit in the hit phase shift array is pi, after obtaining the hit phase shift array, the phase shift processor may obtain communication quality information corresponding to the hit phase shift array, and obtain the condition expected value corresponding to pi based on the communication quality information corresponding to the hit phase shift array.
In an alternative embodiment of the present application, the phase shift processor may perform statistical processing on the communication quality information corresponding to the hit phase shift array, and determine a result of the statistical processing as a conditional expectation value, for example, the statistical processing may be an averaging processing.
For example, for a target reflection element n, a candidate phase shift value φ k For example, the candidate phase shift value φ k The conditional expectation of (2) is calculated by:
Figure BDA0004041830700000101
wherein y represents communication quality information, θ n Representing the phase shift value of the target reflection unit n, ey|theta n =φ k ]Representing the phase shift value of the target reflection unit n as a candidate phase shift value phi k Calculation result of condition expected value of time communication quality information, Q n,k Indicating that all phase shift values satisfying the target reflection unit n are candidate phase shift values phi k I.e. hit the set of phase shift arrays |Q n,k I represents set Q n,k Number of inner phase shift arrays, y t Indicating the communication quality information corresponding to the hit phase shift array t.
For example, for the nth target reflection unit in the target intelligent reflection surface, the candidate phase shift values that can be supported by the n target reflection unit include two of 0 and pi, for 0, the phase shift processor needs to determine a hit phase shift array from the multiple target phase shift arrays, where the phase shift value of the nth target reflection unit in the hit phase shift array is 0, after obtaining the hit phase shift array, the phase shift processor may obtain communication quality information corresponding to the hit phase shift array, then the phase shift processor may average the communication quality information corresponding to the hit phase shift array, and take the average value as a condition expected value corresponding to 0, for pi, the phase shift processor also needs to determine the hit phase shift array from the multiple target phase shift arrays, where the phase shift value of the nth target reflection unit in the hit phase shift array is pi, after obtaining the hit phase shift array, the phase shift processor may obtain the communication quality information corresponding to the hit phase shift array, and then the phase shift processor may average the communication quality information corresponding to the hit phase shift array, and take the average value as the pi corresponding condition expected value.
As described above, for each target reflection unit, after obtaining the condition expected value corresponding to each candidate phase shift value that it can support, the optimal phase shift value of the target reflection unit may be determined from each candidate phase shift value according to the condition expected value corresponding to each candidate phase shift value that it can support.
Alternatively, in one possible implementation manner, the target reflection unit may be denoted as the target reflection unit n, where the candidate phase shift value with the largest corresponding condition expected value among the candidate phase shift values that can be supported is used as the optimized phase shift value, that is:
Figure BDA0004041830700000111
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0004041830700000112
representing the optimized phase shift value, θ, of the target reflection unit n n Representing the phase shift value, Φ, of the target reflection unit n n Representing a set of all candidate phase shift values of the target reflection unit n k For any candidate phase shift value of the target reflection unit n, ey|θ n =φ k ]Representing the phase shift value of the target reflection unit n as a candidate phase shift value phi k The result of calculation of the conditional expectation value of the time communication quality information, arg indicates that the maximum value +.>
Figure BDA0004041830700000113
The corresponding candidate phase shift value.
In another possible implementation manner, the target reflection unit may be denoted as the target reflection unit n, and the candidate phase shift value with the smallest corresponding condition expected value among the candidate phase shift values that can be supported is used as the optimized phase shift value, that is:
Figure BDA0004041830700000114
/>
Wherein arg represents taking the minimum value
Figure BDA0004041830700000115
The corresponding candidate phase shift value.
Step 803, determining an optimized phase shift array according to the optimized phase shift value of each target reflection unit.
After obtaining the optimized phase shift values for each target reflection unit, an optimized phase shift array may be determined based on the optimized phase shift values for each target reflection unit.
In order to facilitate the reader to understand the technical solutions provided by the embodiments of the present application, the embodiments of the present application will be described below with reference to examples.
Assuming that the current implementation environment only includes 1 receiver (i.e. a single user scenario), and includes two intelligent reflection surfaces, each intelligent reflection surface includes 3 reflection units, candidate phase shift values that can be supported by each reflection unit include 0 and pi, the target phase shift arrays configured on each intelligent reflection surface are 6, and the optimization sequence is to optimize the first intelligent reflection surface first and then optimize the second intelligent reflection surface.
First, the phase shift arrays of the respective smart reflective surfaces are initialized, and illustratively, the initial phase shift arrays of the two smart reflective surfaces are respectively:
θ 1 =(θ 1,11,21,3 )=(0,0,π);θ 2 =(θ 2,12,22,3 )=(0,π,0)。
next, the first intelligent reflecting surface is optimized, wherein the target phase shift array of the first intelligent reflecting surface and the communication quality information corresponding to each target phase shift array are shown in table 1:
TABLE 1
Numbering device 1 2 3 4 5 6
Target phase shift array (0,0,0) (0,0,π) (0,π,π) (π,0,0) (π,π,0) (π,π,π)
Communication quality information 2 2 6 4 9 5
Taking the first reflection unit as an example, for the candidate phase shift value 0 supported by the first reflection unit, since the phase shift values of the first reflection unit in the target phase shift arrays 1, 2 and 3 in table 1 are all 0, the hit phase shift array of the candidate phase shift value 0 is the target phase shift array 1, 2 and 3 in table 1, and the condition expected value corresponding to the candidate phase shift value 0 is:
Figure BDA0004041830700000116
for the candidate phase shift values pi supported by the phase shift register, since the phase shift values of the first reflection unit in the target phase shift arrays 4, 5 and 6 in table 1 are pi, the hit phase shift array of the candidate phase shift value pi is the target phase shift array 4, 5 and 6 in table 1, and the condition expected value corresponding to the candidate phase shift value pi is:
Figure BDA0004041830700000117
by similar calculation, table 2 shows expected values of communication quality information conditions corresponding to different candidate phase shift values for each reflection unit:
TABLE 2
Figure BDA0004041830700000118
If the optimized phase shift value is the candidate phase shift value with the largest conditional expectation, the optimized phase shift value is pi for the first reflection unit, pi for the second reflection unit, and 0 for the third reflection unit, the optimized phase shift array of the first intelligent reflection surface is (pi, 0).
The second intelligent reflecting surface is then optimized. The target phase shift array of the second intelligent reflecting surface and the communication quality information corresponding to each target phase shift array are shown in table 3:
TABLE 3 Table 3
Numbering device 1 2 3 4 5 6
Target phase shift array (0,0,0) (π,π,0) (0,π,π) (π,0,π) (0,π,0) (π,π,π)
Communication quality information 3 5 2 7 8 4
Taking the first reflection unit as an example, for the candidate phase shift value 0 supported by the first reflection unit, since the phase shift values of the first reflection unit in the target phase shift arrays 1, 3 and 5 in table 3 are all 0, the hit phase shift array of the candidate phase shift value 0 is the target phase shift array 1, 3 and 5 in table 3, and the condition expected value corresponding to the candidate phase shift value 0 is:
Figure BDA0004041830700000121
for the candidate phase shift values pi supported by the phase shift register, since the phase shift values of the first reflection unit in the target phase shift arrays 2, 4 and 6 in table 3 are pi, the hit phase shift array of the candidate phase shift value pi is the target phase shift array 2, 4 and 6 in table 3, and the condition expected value corresponding to the candidate phase shift value pi is:
Figure BDA0004041830700000122
by similar calculation, table 4 shows expected values of communication quality information conditions corresponding to different candidate phase shift values for each reflection unit:
TABLE 4 Table 4
Figure BDA0004041830700000123
If the optimized phase shift value is the candidate phase shift value with the largest conditional expectation, the optimized phase shift value is pi for the first reflection unit, the optimized phase shift value is 0 for the second reflection unit, and the optimized phase shift value is 0 for the third reflection unit, the optimized phase shift array of the second intelligent reflection surface is (pi, 0).
It should be noted that when optimizing the second intelligent reflecting surface, the phase shift array of the first intelligent reflecting surface is an optimized phase shift array (pi, 0) and remains unchanged.
Referring to fig. 9, an intelligent reflection surface optimization method provided in an embodiment of the present application may be applied to a sequence coordinator in an implementation environment shown in fig. 1 to 4, and as shown in fig. 9, the intelligent reflection surface optimization method includes the following steps:
step 901, obtaining an optimization sequence of a plurality of intelligent reflecting surfaces to be optimized.
In alternative embodiments of the present application, the order coordinator may determine the optimal order of the plurality of intelligent reflective surfaces in any of the following ways:
1. the optimization order is determined in order from near to far from the transmitter.
2. The optimization order is determined in order from far to near to the transmitter.
3. The optimization order is determined in order from far to near to the receiver.
4. The optimization order is determined in order from near to far from the receiver.
5. And determining an optimization sequence according to the identification of the plurality of intelligent reflecting surfaces to be optimized.
For example, each intelligent reflector may correspond to a unique reflector index, the order coordinator may determine an optimal order based on the order of the reflector indexes from large to small, or the order coordinator may determine an optimal order based on the order of the reflector indexes from small to large.
6. And determining an optimization sequence according to sequence indication information sent by other devices.
7. And determining an optimization sequence according to a preset sequence determination rule.
8. The optimization order is determined randomly.
Step 902, based on the optimization sequence, sequentially sending optimization instructions to the phase shift processor for each intelligent reflection.
The optimization instruction is configured to instruct the phase shift processor to perform optimization processing on the phase shift array of the intelligent reflecting surface for which the optimization instruction is directed, and as described above, during the optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, where the phase shift arrays include phase shift values of each reflecting unit in the intelligent reflecting surface.
In an alternative embodiment of the present application, if a certain intelligent reflection plane is not ranked first in the optimization sequence, after receiving the optimization completion information sent for the last intelligent reflection plane, an optimization instruction is sent for the phase shift processor for the certain intelligent reflection plane.
In an optional embodiment of the present application, if a certain intelligent reflection surface is ranked first in the optimization sequence, the sequence coordinator may send an optimization instruction to the phase shift processor for a certain intelligent reflection surface after receiving an optimization start instruction sent by other devices, or the sequence coordinator may send an optimization instruction to the phase shift processor for a certain intelligent reflection surface after reaching a preset time point, or the sequence coordinator may send an optimization instruction to the phase shift processor for a certain intelligent reflection surface when detecting that the current state meets a preset condition.
The manner in which the sequence coordinator sequentially sends the optimization instructions to the phase shift processor for each intelligent reflection has been described in detail above, and the embodiments of the present application are not described herein again.
As will be readily appreciated, before the order coordinator determines the optimization order of the plurality of intelligent reflective surfaces to be optimized, the order coordinator needs to determine the plurality of intelligent reflective surfaces to be optimized first, please refer to fig. 10, which illustrates an exemplary method for determining the plurality of intelligent reflective surfaces to be optimized by the order coordinator, as shown in fig. 10, which includes the steps of:
step 1001, determining a target communication link in a communication system.
The communication system is a wireless communication system and comprises a transmitter, a receiver and a plurality of candidate intelligent reflecting surfaces. The target communication link is comprised of a transmitter, a plurality of intelligent reflective surfaces, and a receiver. It will be readily appreciated that the plurality of smart reflective surfaces included in the target communication link may comprise all or only a portion of the candidate smart reflective surfaces in the communication system.
In the following, embodiments of the present application will provide a way to exemplarily determine a target communication link, including the following steps:
And step A, determining line-of-sight communication link information between a transmitter and each candidate intelligent reflecting surface, between any two candidate intelligent reflecting surfaces and between a receiver and each candidate intelligent reflecting surface in the communication system.
And B, determining a target communication link in the communication system according to the line-of-sight communication link information.
Optionally, the sequence coordinator may determine a plurality of candidate communication links according to the line-of-sight communication link information acquired in the step a, where a preset line-of-sight communication link condition is satisfied between any two adjacent devices in the candidate communication links, and then, the candidate communication link with the shortest path is taken as the target communication link.
Alternatively, the line-of-sight communication link condition may be that the two devices are visible to each other and the distance between the two devices is less than a preset distance threshold.
Step 1002, using a plurality of intelligent reflecting surfaces in a target communication link as a plurality of intelligent reflecting surfaces to be optimized.
Referring to fig. 11, an intelligent reflection surface optimization method provided in an embodiment of the present application may be applied to a phase shift controller in the implementation environment shown in fig. 1 to 4, and as shown in fig. 11, the intelligent reflection surface optimization method includes the following steps:
Step 1101, receiving a first phase shift instruction sent by a phase shift processor.
Step 1102, in response to the first phase shift instruction, adjusting a phase shift value of a target reflection unit in the target intelligent reflection surface according to the optimized phase shift array, so as to configure the optimized phase shift array on the target intelligent reflection surface.
The optimization phase shift array is determined according to a preset optimization strategy after receiving an optimization instruction for a target intelligent reflecting surface sent by the sequence coordinator, wherein the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be an intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, the phase shift array of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces is kept unchanged in the process of optimizing the phase shift array of the target intelligent reflecting surface, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
Referring to fig. 12, in an alternative embodiment of the present application, before receiving the first phase shift instruction sent by the phase shift processor, the intelligent reflection surface optimization method provided in the embodiment of the present application may further include the following steps:
step 1201, receiving a second phase shift instruction sent by the phase shift processor.
Step 1202, adjusting the phase shift value of the target reflection unit in the target smart reflection surface based on the second phase shift instruction, so as to configure different target phase shift arrays on the target smart reflection surface.
Wherein different target phase shift arrays are used for the phase shift processor to determine the optimized phase shift array described above.
Referring to fig. 13, a method for optimizing an intelligent reflecting surface according to an embodiment of the present application may be applied to the implementation environments shown in fig. 1 to 4, and as shown in fig. 13, the method for optimizing an intelligent reflecting surface includes the following steps:
step 1301, the sequence coordinator determines line-of-sight communication link information between the transmitter and each candidate smart reflection surface, between any two candidate smart reflection surfaces, and between the receiver and each candidate smart reflection surface in the communication system.
Step 1302, the sequence coordinator obtains a plurality of candidate communication links according to the line-of-sight communication link information.
The method comprises the step of enabling any two adjacent devices in the candidate communication links to meet preset line-of-sight communication link conditions.
In step 1303, the sequence coordinator uses the candidate communication link with the shortest path as the target communication link.
The target communication link is composed of a transmitter, a plurality of intelligent reflecting surfaces and a receiver.
In step 1304, the sequence coordinator uses the plurality of intelligent reflecting surfaces in the target communication link as a plurality of intelligent reflecting surfaces to be optimized.
Step 1305, the sequence coordinator obtains the optimization sequence of the plurality of intelligent reflecting surfaces to be optimized.
Step 1306, based on the optimization sequence, the sequence coordinator sequentially sends optimization instructions to the phase shift processor for each intelligent reflection.
Step 1307, for a target intelligent reflecting surface of the plurality of intelligent reflecting surfaces to be optimized, the phase shift processor receives an optimization instruction for the target intelligent reflecting surface sent by the sequence coordinator.
The optimization instruction is sent when the sequence coordinator determines that the target intelligent reflecting surface is the intelligent reflecting surface needing to be optimized currently based on the optimization sequence of the intelligent reflecting surfaces to be optimized.
Step 1308, the phase shift processor optimizes the phase shift array of the target intelligent reflecting surface based on the optimizing instruction.
And in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of all reflecting units in the intelligent reflecting surfaces.
The method for optimizing the phase shift array of the target intelligent reflecting surface comprises the following steps of:
And step A, the phase shift processor sends a second phase shift instruction to the phase shift controller.
The second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of the target reflecting unit in the target intelligent reflecting surface so as to configure different target phase shift arrays on the target intelligent reflecting surface.
And B, acquiring communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface.
Specifically, for each target phase shift array, the communication quality information corresponding to the target phase shift array is determined according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is arranged on the target intelligent reflecting surface.
When the number of the receivers is 1, measurement information obtained by measuring communication signals received by the 1 receivers is used as communication quality information corresponding to the target phase shift array, and when the number of the receivers is plural, statistical processing is performed on plural measurement information obtained by measuring communication signals received by the plural receivers, and the result of the statistical processing is used as communication quality information corresponding to the target phase shift array.
And C, determining an optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
And D, sending a first phase shift instruction to a phase shift controller based on the optimized phase shift array.
The first phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of the target reflection unit in the target intelligent reflection surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface.
Step 1309, after the optimization processing is completed on the target intelligent reflection surface, the phase shift processor sends optimization completion information to the sequence coordinator to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflection surface based on the optimization sequence, or to instruct the sequence coordinator to determine to stop the optimization processing on the phase shift arrays of the plurality of intelligent reflection surfaces based on the optimization sequence.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides an intelligent reflecting surface optimizing device for realizing the intelligent reflecting surface optimizing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the one or more intelligent reflection surface optimization devices provided below may be referred to the limitation of the intelligent reflection surface optimization method hereinabove, and will not be repeated here.
In one embodiment, as shown in FIG. 14, an intelligent reflector optimization apparatus 1400 is provided, comprising: a receiving module 1401, an optimizing module 1402 and a transmitting module 1403.
The receiving module 1401 is configured to receive an optimization instruction for a target intelligent reflection plane sent by the sequence coordinator, where the optimization instruction is sent when the sequence coordinator determines that the target intelligent reflection plane is an intelligent reflection plane that needs to be optimized currently based on an optimization sequence of a plurality of intelligent reflection planes to be optimized.
The optimizing module 1402 is configured to perform an optimizing process on the phase shift array of the target intelligent reflecting surface based on the optimizing instruction, where during the optimizing process on the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, and the phase shift arrays include phase shift values of each reflecting unit in the intelligent reflecting surfaces.
The sending module 1403 is configured to send optimization completion information to the order coordinator, to instruct the order coordinator to send an optimization instruction for a next intelligent reflection plane based on the optimization order, or to instruct the order coordinator to determine to stop performing optimization processing on the phase shift arrays of the plurality of intelligent reflection planes based on the optimization order.
In an alternative embodiment of the present application, the optimizing module 1402 is specifically configured to: determining an optimized phase shift array of the target intelligent reflecting surface according to a preset optimization strategy based on the optimization instruction; and sending a first phase shift instruction to a phase shift controller based on the optimized phase shift array, wherein the first phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of a target reflection unit in the target intelligent reflection surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface.
In an alternative embodiment of the present application, the optimizing module 1402 is specifically configured to: transmitting a second phase shift instruction to the phase shift controller, wherein the second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of a target reflection unit in the target intelligent reflection surface so as to configure different target phase shift arrays on the target intelligent reflection surface; and acquiring communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface, and determining the optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
In an alternative embodiment of the present application, the target smart reflective surface is configured to reflect a communication signal, where the communication signal is a signal sent by a transmitter to a receiver, and the optimizing module 1402 is specifically configured to: and for each target phase shift array, determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflecting surface.
In an alternative embodiment of the present application, the optimizing module 1402 is specifically configured to: when the number of the receivers is 1, the target phase shift array is configured on the target intelligent reflecting surface, measurement information obtained by measuring communication signals received by 1 receiver is used as the communication quality information corresponding to the target phase shift array; when the number of the receivers is plural, the target phase shift array is arranged on the target intelligent reflecting surface, a plurality of pieces of measurement information obtained by measuring communication signals received by the plurality of receivers are statistically processed, and the result of the statistical processing is used as the communication quality information corresponding to the target phase shift array.
In an alternative embodiment of the present application, the communication quality information is a numerical value, and the optimizing module 1402 is specifically configured to: determining a plurality of candidate phase shift values which can be supported by each target reflection unit in the target intelligent reflection surface; for each target reflection unit, determining a condition expected value corresponding to each candidate phase shift value supported by the target reflection unit based on communication quality information corresponding to each target phase shift array, and determining an optimized phase shift value from each candidate phase shift value supported by the target reflection unit according to the condition expected value corresponding to each candidate phase shift value supported by the target reflection unit; the optimized phase shift array is determined based on the optimized phase shift values for each of the target reflection units.
In an alternative embodiment of the present application, the optimizing module 1402 is specifically configured to: for each candidate phase shift value supported by the target reflection unit, determining a hit phase shift array from a plurality of target phase shift arrays based on the candidate phase shift value, wherein the phase shift value of the target reflection unit in the hit phase shift array is the same as the candidate phase shift value, and determining a condition expected value corresponding to the candidate phase shift value based on communication quality information corresponding to the hit phase shift array.
In an alternative embodiment of the present application, the optimizing module 1402 is specifically configured to: taking the candidate phase shift value with the maximum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit as the optimized phase shift value; or, the candidate phase shift value with the minimum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit is used as the optimized phase shift value.
The modules in the intelligent reflection surface optimization device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be stored in a processor in a computer device (e.g., a phase shift processor), or may be stored in software in a memory in a computer device (e.g., a phase shift processor), so that the processor may invoke and perform the operations corresponding to the above modules.
In one embodiment, as shown in FIG. 15, an intelligent reflector optimization apparatus 1500 is provided, comprising: acquisition module 1501 and transmission module 1502.
The acquiring module 1501 is configured to acquire an optimization order of a plurality of intelligent reflecting surfaces to be optimized.
The sending module 1502 is configured to send, based on the optimization order, an optimization instruction to the phase shift processor for each of the intelligent reflection planes in turn; the optimization instruction is used for instructing the phase shift processor to perform optimization processing on the phase shift array of the intelligent reflecting surface aimed at by the optimization instruction, wherein in the process of performing optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of reflecting units in the intelligent reflecting surfaces.
In an alternative embodiment of the present application, the sending module 1502 is specifically configured to: if a certain intelligent reflecting surface is not arranged first in the optimization sequence, after receiving the optimization completion information sent for the last intelligent reflecting surface, sending an optimization instruction to the phase shift processor for the certain intelligent reflecting surface.
In one embodiment, the obtaining module 1501 is specifically configured to any of the following:
determining the optimized sequence in the sequence from the near to the far from the transmitter;
determining the optimized sequence in the sequence from far to near to the transmitter;
determining the optimization order according to the order from far to near to the receiver;
determining the optimization order in order from near to far from the receiver;
determining the optimization sequence according to the identification of the plurality of intelligent reflecting surfaces to be optimized;
determining the optimization sequence according to sequence indication information sent by other equipment;
determining the optimization sequence according to a preset sequence determination rule;
the optimization order is randomly determined.
Referring to fig. 16, another intelligent reflector optimization apparatus 1600 is shown, where the intelligent reflector optimization apparatus 1600 optionally includes a determination module 1503 in addition to the modules included in the intelligent reflector optimization apparatus 1500.
Wherein, this determination module is used for 1503: determining a target communication link in a communication system, the target communication link being comprised of a transmitter, a plurality of intelligent reflective surfaces, and a receiver; the plurality of intelligent reflecting surfaces in the target communication link are used as the plurality of intelligent reflecting surfaces to be optimized.
In an alternative embodiment of the present application, the communication system includes the transmitter, the receiver, and a plurality of candidate smart reflective surfaces, the determining module 1503 is specifically configured to: determining line-of-sight communication link information between the transmitter and each candidate intelligent reflection surface, between any two candidate intelligent reflection surfaces and between the receiver and each candidate intelligent reflection surface; the target communication link is determined in the communication system based on the line-of-sight communication link information.
In an alternative embodiment of the present application, the determining module 1503 is specifically configured to: acquiring a plurality of candidate communication links according to the line-of-sight communication link information, wherein a preset line-of-sight communication link condition is met between any two adjacent devices in the candidate communication links; the candidate communication link with the shortest path is taken as the target communication link.
The modules in the intelligent reflection surface optimization device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in a computer device (e.g., a sequence coordinator), or may be stored in software in a memory in a computer device (e.g., a sequence coordinator), so that the processor may invoke and perform operations corresponding to the above modules.
In one embodiment, as shown in fig. 17, there is provided an intelligent reflective surface optimization apparatus 1700, comprising: a receiving module 1701 and an adjusting module 1702.
A receiving module 1701, configured to receive the first phase shift instruction sent by the phase shift processor.
An adjusting module 1702, configured to respond to the first phase shift instruction, and adjust a phase shift value of a target reflection unit in a target intelligent reflection surface according to an optimized phase shift array, so as to configure the optimized phase shift array on the target intelligent reflection surface; the optimization phase shift array is determined according to a preset optimization strategy after the optimization instruction sent by the sequence coordinator aiming at the target intelligent reflecting surface is received, the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, and in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
In an alternative embodiment of the present application, the receiving module 1701 is further configured to: receiving a second phase shift instruction sent by the phase shift processor;
The adjusting module 1702 is further configured to adjust a phase shift value of a target reflection unit in the target smart reflection surface based on the second phase shift instruction, so as to configure a different target phase shift array to the target smart reflection surface, where the different target phase shift array is used for the phase shift processor to determine the optimized phase shift array.
The modules in the intelligent reflection surface optimization device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be stored in a processor in a computer device (e.g., a phase shift controller) or may be stored in software in a memory in a computer device (e.g., a phase shift controller) so that the processor invokes operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a phase shift processor, a sequence coordinator or a phase shift controller, the internal structure of which may be as shown in fig. 18. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an intelligent reflector optimization method.
It will be appreciated by those skilled in the art that the structure shown in fig. 18 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application is applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps involved in the above-described method embodiments when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps involved in the above-described method embodiments.
In an embodiment a computer program product is provided comprising a computer program which, when executed by a processor, implements the steps involved in the above-described method embodiments.
In one embodiment, an intelligent reflector optimization system is provided that includes a phase shift processor, a sequence coordinator, a phase shift controller, and a plurality of intelligent reflectors.
The phase shift processor is configured to perform the steps performed by the phase shift processor in the above method embodiment.
The sequence coordinator is configured to perform the steps performed by the sequence coordinator in the method embodiment.
The phase shift controller is configured to perform the steps performed by the phase shift controller in the foregoing method embodiment.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (23)

1. An intelligent reflector optimization method, for use in a phase shift processor, the method comprising:
receiving an optimization instruction aiming at a target intelligent reflecting surface, which is sent by a sequence coordinator, wherein the optimization instruction is sent when the sequence coordinator determines that the target intelligent reflecting surface is the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized;
Optimizing the phase shift array of the target intelligent reflecting surface based on the optimizing instruction, wherein in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of all reflecting units in the intelligent reflecting surfaces;
and sending optimization completion information to the sequence coordinator to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence, or instruct the sequence coordinator to determine to stop optimizing the phase shift arrays of the plurality of intelligent reflecting surfaces based on the optimization sequence.
2. The method of claim 1, wherein optimizing the phase shift array of the target smart reflective surface based on the optimization instructions comprises:
determining an optimized phase shift array of the target intelligent reflecting surface according to a preset optimization strategy based on the optimization instruction;
and sending a first phase shift instruction to a phase shift controller based on the optimized phase shift array, wherein the first phase shift instruction is used for instructing the phase shift controller to adjust a phase shift value of a target reflection unit in the target intelligent reflection surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface.
3. The method of claim 2, wherein determining the optimized phase shift array of the target intelligent reflective surface according to a preset optimization strategy based on the optimization instructions comprises:
transmitting a second phase shift instruction to the phase shift controller, wherein the second phase shift instruction is used for instructing the phase shift controller to adjust the phase shift value of a target reflection unit in the target intelligent reflection surface so as to configure different target phase shift arrays on the target intelligent reflection surface;
and acquiring communication quality information corresponding to each target phase shift array when the target phase shift arrays are configured on the target intelligent reflecting surface, and determining the optimized phase shift array according to the communication quality information corresponding to each target phase shift array.
4. The method of claim 3, wherein the target smart reflective surface is configured to reflect a communication signal, the communication signal being a signal sent by a transmitter to a receiver, and the obtaining communication quality information corresponding to each of the target phase-shift arrays when the target phase-shift arrays are configured on the target smart reflective surface, includes:
and for each target phase shift array, determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is configured on the target intelligent reflecting surface.
5. The method according to claim 4, wherein determining the communication quality information corresponding to the target phase shift array according to measurement information obtained by measuring the communication signal received by the receiver when the target phase shift array is disposed on the target smart reflection surface includes:
when the number of the receivers is 1, the target phase shift array is configured on the target intelligent reflecting surface, measurement information obtained by measuring communication signals received by 1 receiver is used as the communication quality information corresponding to the target phase shift array;
when the number of the receivers is plural, the target phase shift array is configured on the target intelligent reflecting surface, a plurality of pieces of measurement information obtained by measuring communication signals received by the plural receivers are statistically processed, and a result of the statistical processing is used as the communication quality information corresponding to the target phase shift array.
6. The method of claim 3, wherein the communication quality information is a numerical value, and wherein determining the optimized phase shift array based on the communication quality information corresponding to each of the target phase shift arrays comprises:
Determining a plurality of candidate phase shift values which can be supported by each target reflection unit in the target intelligent reflection surface;
for each target reflection unit, determining a condition expected value corresponding to each candidate phase shift value supported by the target reflection unit based on communication quality information corresponding to each target phase shift array, and determining an optimized phase shift value from each candidate phase shift value supported by the target reflection unit according to the condition expected value corresponding to each candidate phase shift value supported by the target reflection unit;
and determining the optimized phase shift array according to the optimized phase shift value of each target reflection unit.
7. The method of claim 6, wherein determining the conditional expectation value for each candidate phase shift value that can be supported by the target reflection unit based on the communication quality information for each target phase shift array comprises:
and for each candidate phase shift value supported by the target reflection unit, determining a hit phase shift array from a plurality of target phase shift arrays based on the candidate phase shift values, wherein the phase shift value of the target reflection unit in the hit phase shift array is the same as the candidate phase shift value, and determining a condition expected value corresponding to the candidate phase shift value based on communication quality information corresponding to the hit phase shift array.
8. The method according to claim 6 or 7, wherein the determining the optimized phase shift value from the candidate phase shift values supportable by the target reflection unit according to the condition expectation value corresponding to each of the candidate phase shift values supportable by the target reflection unit, comprises:
taking the candidate phase shift value with the maximum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit as the optimized phase shift value; or alternatively, the process may be performed,
and taking the candidate phase shift value with the minimum corresponding condition expected value in the candidate phase shift values supported by the target reflection unit as the optimized phase shift value.
9. An intelligent reflector optimization method, characterized by being used in a sequence coordinator, comprising:
acquiring an optimization sequence of a plurality of intelligent reflecting surfaces to be optimized;
based on the optimization sequence, sequentially sending optimization instructions to a phase shift processor for each intelligent reflection surface;
the optimization instruction is configured to instruct the phase shift processor to perform optimization processing on a phase shift array of an intelligent reflecting surface for which the optimization instruction is directed, where during optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, and the phase shift arrays include phase shift values of reflection units in the intelligent reflecting surfaces.
10. The method of claim 9, wherein the sequentially sending optimization instructions for each of the intelligent reflection-side phase shift processors based on the optimization order comprises:
and if a certain intelligent reflecting surface is not arranged at the first position in the optimization sequence, after receiving the optimization completion information sent for the last intelligent reflecting surface, sending an optimization instruction to the phase shift processor for the certain intelligent reflecting surface.
11. The method of claim 9, wherein prior to the obtaining the optimization order for the plurality of intelligent reflective surfaces to be optimized, the method further comprises:
determining a target communication link in a communication system, the target communication link being comprised of a transmitter, a plurality of intelligent reflective surfaces, and a receiver;
and taking the plurality of intelligent reflecting surfaces in the target communication link as the plurality of intelligent reflecting surfaces to be optimized.
12. The method of claim 11, wherein the communication system includes the transmitter, the receiver, and a plurality of candidate smart reflective surfaces, the determining a target communication link in the communication system comprising:
determining line-of-sight communication link information between the transmitter and each candidate intelligent reflection surface, between any two candidate intelligent reflection surfaces and between the receiver and each candidate intelligent reflection surface;
And determining the target communication link in the communication system according to the line-of-sight communication link information.
13. The method of claim 12, wherein said determining said target communication link in said communication system based on said line-of-sight communication link information comprises:
acquiring a plurality of candidate communication links according to the line-of-sight communication link information, wherein a preset line-of-sight communication link condition is met between any two adjacent devices in the candidate communication links;
and taking the candidate communication link with the shortest path as the target communication link.
14. The method according to any one of claims 9 to 13, wherein the obtaining an optimization order of the plurality of intelligent reflecting surfaces to be optimized comprises any one of the following ways:
determining the optimized sequence according to the sequence from the near to the far from the transmitter;
determining the optimized sequence according to the sequence from far to near to the transmitter;
determining the optimized sequence in a sequence from far to near to the receiver;
determining the optimization sequence according to the sequence from the near to the far from the receiver;
determining the optimization sequence according to the identification of the plurality of intelligent reflecting surfaces to be optimized;
Determining the optimization sequence according to sequence indication information sent by other equipment;
determining the optimization sequence according to a preset sequence determination rule;
the optimization order is randomly determined.
15. An intelligent reflector optimization method, characterized by being used in a phase shift controller, comprising:
receiving a first phase shift instruction sent by a phase shift processor;
responding to the first phase shift instruction, and adjusting a phase shift value of a target reflection unit in a target intelligent reflection surface according to an optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflection surface;
the optimization phase shift array is determined according to a preset optimization strategy after the optimization instruction sent by the sequence coordinator aiming at the target intelligent reflecting surface is received, the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, and in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
16. The method of claim 15, wherein prior to receiving the first phase shift instruction sent by the phase shift processor, the method further comprises:
receiving a second phase shift instruction sent by the phase shift processor;
and adjusting the phase shift value of the target reflecting unit in the target intelligent reflecting surface based on the second phase shift instruction so as to configure different target phase shift arrays on the target intelligent reflecting surface, wherein the different target phase shift arrays are used for the phase shift processor to determine the optimized phase shift array.
17. An intelligent reflective surface optimization apparatus for use in a phase shift processor, the apparatus comprising:
the receiving module is used for receiving an optimization instruction aiming at a target intelligent reflecting surface, which is sent by the sequence coordinator, wherein the optimization instruction is sent when the sequence coordinator determines that the target intelligent reflecting surface is the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized;
the optimization module is used for optimizing the phase shift array of the target intelligent reflecting surface based on the optimization instruction, wherein in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift arrays comprise phase shift values of reflecting units in the intelligent reflecting surfaces;
And the sending module is used for sending optimization completion information to the sequence coordinator so as to instruct the sequence coordinator to send an optimization instruction for the next intelligent reflecting surface based on the optimization sequence, or instruct the sequence coordinator to determine to stop optimizing the phase shift arrays of the plurality of intelligent reflecting surfaces based on the optimization sequence.
18. An intelligent reflective surface optimization apparatus for use in a sequence coordinator, the apparatus comprising:
the acquisition module is used for acquiring the optimization sequence of the plurality of intelligent reflecting surfaces to be optimized;
the sending module is used for sending an optimization instruction to the phase shift processor for each intelligent reflection surface in turn based on the optimization sequence;
the optimization instruction is configured to instruct the phase shift processor to perform optimization processing on a phase shift array of an intelligent reflecting surface for which the optimization instruction is directed, where during optimization processing on the phase shift array of a certain intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces remain unchanged, and the phase shift arrays include phase shift values of reflection units in the intelligent reflecting surfaces.
19. An intelligent reflective surface optimization apparatus for use in a phase shift controller, the apparatus comprising:
The receiving module is used for receiving the first phase shift instruction sent by the phase shift processor;
the adjusting module is used for responding to the first phase shift instruction and adjusting the phase shift value of the target reflecting unit in the target intelligent reflecting surface according to the optimized phase shift array so as to configure the optimized phase shift array on the target intelligent reflecting surface;
the optimization phase shift array is determined according to a preset optimization strategy after the optimization instruction sent by the sequence coordinator aiming at the target intelligent reflecting surface is received, the optimization instruction is sent by the sequence coordinator when the target intelligent reflecting surface is determined to be the intelligent reflecting surface which needs to be optimized currently based on the optimization sequence of a plurality of intelligent reflecting surfaces to be optimized, and in the process of optimizing the phase shift array of the target intelligent reflecting surface, the phase shift arrays of other intelligent reflecting surfaces in the plurality of intelligent reflecting surfaces are kept unchanged, and the phase shift array comprises phase shift values of reflecting units in the intelligent reflecting surfaces.
20. An intelligent reflector optimization system, comprising a phase shift processor, a sequence coordinator, a phase shift controller, and a plurality of intelligent reflectors;
The phase shift processor for performing the method of any of claims 1 to 8;
the sequence coordinator for performing the method of any of claims 9 to 14;
the phase shift controller for performing the method of any of claims 15 to 16.
21. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 16 when the computer program is executed.
22. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 16.
23. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 16.
CN202310019284.8A 2023-01-06 2023-01-06 Intelligent reflector optimization method, device, system, medium and program product Active CN116170040B (en)

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