CN113746520B - Intelligent reflector communication beam selection method based on beam index map - Google Patents
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- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
- H04B7/0613—Diversity 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
- H04B7/0615—Diversity 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
- H04B7/0619—Diversity 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
- H04B7/0636—Feedback format
- H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
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- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
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- H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
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- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
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Abstract
The invention discloses an intelligent reflector communication beam selection method based on a beam index map, which comprises the following steps: acquiring optimal beam pair information of a base station end and an intelligent reflector end corresponding to each user position, and constructing and timely updating an optimal beam index map based on the user position; when the base station end communicates with the user through the intelligent reflecting surface, the user end obtains real-time geographic positions through various positioning modes, obtains a candidate beam pair set by means of the established beam index map, and directly selects beams or scans beams of the candidate beam pair set in real time according to the occurrence frequency of different beam pairs, so that the intelligent reflecting surface communication beam selection free of channel training or light weight channel training is realized. The method solves the problems of high difficulty in estimating the communication channel of the intelligent reflecting surface, high training overhead of the traditional beam scanning method, complicated training process and the like, simplifies the real-time beam selection process and greatly improves the effective communication rate.
Description
Technical Field
The invention relates to the field of wireless communication standardization processes, in particular to an intelligent reflector communication beam selection method based on a beam index map.
Background
The sixth generation (6G) mobile communication network facing 2030 needs to support ultrahigh spectrum efficiency and energy efficiency, ultra-large range wireless coverage and macro-site connection, and ultra-high reliability and low-delay communication, and the existing 5G technology is difficult to completely meet the requirements. The communication distance is shortened by adding more active nodes such as base stations, access points, relays and the like, so that the network coverage and capacity can be improved, but higher energy and hardware cost and more complex and severe interference problems are caused; by using more antennas to achieve massive MIMO gain, the complexity of signal processing also increases; by using a higher frequency band such as a millimeter wave or even a terahertz frequency band for communication, more active nodes and antennas are needed to make up for the defect of large propagation loss.
In order to solve the above problems, the academic circles have recently proposed a novel communication technology with low cost, low complexity and low energy consumption, namely an intelligent reflector communication technology. An intelligent reflecting surface is a plane composed of a large number of passive reflecting elements, each of which is capable of independently imparting a controlled amplitude and phase change to an incident signal. By densely deploying intelligent reflecting surfaces in a wireless network and flexibly regulating and controlling reflected signals according to requirements, the problems of channel fading and interference can be fundamentally solved, and the capacity and reliability of wireless communication are greatly improved. The intelligent reflecting surface technology has the following advantages: (1) the deployment cost is low; (2) can operate in full duplex mode; (3) and the method is compatible with the existing communication system and is easy to integrate.
In order to fully exert the ability of the intelligent reflecting surface to flexibly regulate and control the signal propagation environment, beams at a base station end and an intelligent reflecting surface end need to be correctly selected, and the traditional beam selection mode mainly comprises the following modes:
(1) the method based on beam training is that the base station end and the intelligent reflecting surface end respectively traverse all beams in the codebook before communication, and finally the user end is selected to receive the beam pair with the maximum signal-to-noise ratio for communication. The method has the advantages of high training overhead and short effective communication time, and low communication efficiency. Although some researchers have proposed a hierarchical codebook-based method to reduce the training overhead, the codebook design is complex and the training overhead is not fundamentally avoided.
(2) The method based on pilot training is that the base station end sends a section of pilot sequence known by the user end before communication, then the user end estimates the channel according to the comparison between the received signal and the known signal, and selects the beam based on the estimated channel. However, since the intelligent reflection surface unit is passive and has no capability of transceiving pilot signals, and the intelligent reflection surface is composed of a large number of reflection units, the channel coefficients to be estimated are large, and the channel estimation requires a large amount of pilot overhead, thereby occupying the communication time and reducing the communication speed. Some researchers put forward that the intelligent reflector units are grouped for channel estimation, channels from a base station end to the intelligent reflector end and channels from the intelligent reflector end to a user end are respectively estimated by different time scales, channel estimation is carried out by a compressed sensing method by utilizing the sparsity of millimeter wave channels, and the like, so that training overhead is reduced, but the number of pilot frequencies required by the methods is increased along with the number of antennas at the base station end and the number of the reflector units at the intelligent reflector end.
(3) The method based on statistical model models the channel based on the probability distribution of some channel parameters (channel gain, shadow fading, and whether there is a line of sight) or the information of the surrounding environment (building position and height), but this method only uses the rough transceiver position information and signal propagation environment information, ignores the environment factors in the actual communication process, and the estimated channel has a larger deviation from the actual channel.
Based on the analysis of the three traditional beam selection methods, it can be seen that a beam selection method with both environmental awareness and low overhead is urgently needed in a future intelligent reflector communication system.
Disclosure of Invention
The invention aims to solve the technical problem that aiming at the defects provided by the background technology, a beam index map is utilized to establish the mapping relation between the position of a user end and the optimal beam pair of a base station end and an intelligent reflecting surface end, and an intelligent reflecting surface communication beam selection method based on the beam index map is provided.
The invention adopts the following technical scheme for solving the technical problems:
the invention provides an intelligent reflector communication beam selection method based on a beam index map, which takes the position information of a user side as input and takes the optimal beam pair of a base station end and an intelligent reflector end corresponding to the position as output, and comprises the following steps:
s1, obtaining the optimal beam information based on the actual geographic environment and the signal propagation environment, and constructing an optimal beam database with the position information as an index, namely a beam index map;
s2, based on the constructed beam index map, obtaining real-time geographic position information of a user by using multiple positioning systems, obtaining a candidate beam pair set at the position through the beam index map, and directly selecting beams according to the occurrence times of different beam pairs in the candidate beam pair set or scanning the beams of the candidate beam pair set to select an optimal beam pair; and the base station end and the intelligent reflecting surface end use the selected wave beam pair to communicate with the user within the set time length.
Further, in the method for selecting a communication beam of an intelligent reflecting surface based on a beam index map, step S1 is to obtain an optimal beam pair of a base station end and an intelligent reflecting surface end corresponding to user position information by off-line ray tracing simulation calculation, on-site measurement and on-line measurement methods based on geographic environment information and signal propagation environment information, and construct the beam index map.
Further, in the method for selecting a communication beam on an intelligent reflective surface based on a beam index map provided by the present invention, step S2 specifically includes:
s201, when a base station end and a user end need to communicate, acquiring real-time geographic position information of the user through a positioning system;
s202, according to the position information of the user, K measuring point positions closest to the position of the user are found in a beam index map, and a candidate beam pair set is constructed by utilizing the optimal beam pairs corresponding to the K measuring point positions in the beam index map;
s203, directly selecting the beam pair with the largest occurrence frequency in the candidate beam pair set as the beam pair for the user communication, when a plurality of beam pairs with the largest occurrence frequency and equal occurrence frequency exist in the candidate beam pair set, calculating the sum of reciprocal distances from the measuring point positions corresponding to different beam pairs to the user position, and selecting the beam pair with the largest sum of the reciprocal distances as the beam pair for the user communication;
s204, the base station end and the intelligent reflecting surface end perform beam scanning on the candidate beam pair set, and an optimal beam pair is selected according to the signal-to-noise ratio received by a user;
s205, the base station end and the intelligent reflector end communicate with the user by using the optimal beam pair obtained in the step S203 or S204 in the next time with the duration of t;
s206, when the time t is finished, the base station end or the user end judges whether the communication is finished, if so, the process is finished; if the communication continues, the processes S201-S205 are repeated until the communication ends.
Furthermore, the invention provides an intelligent reflector communication beam selection method based on a beam index map, wherein the beam index map forms a database for storing the optimal beam indexes of a base station end and an intelligent reflector end based on position information; when the map usage time exceeds the time limit T, or when the actual geographic environment or signal propagation environment corresponding to the map has a certain change, the operation of step S1 is executed to update the map.
Furthermore, for a scene in which the base station end and the user end are seriously blocked, that is, the base station end mainly communicates with the user end through the intelligent reflecting surface, the optimal beam at the base station end is updated at a relatively low frequency, and the optimal beam at the intelligent reflecting surface end is updated at a relatively high frequency.
Furthermore, the invention provides an intelligent reflector communication beam selection method based on a beam index map, wherein different optimal beam pairs exist at different times for each measuring point position in the beam index map, and a plurality of optimal beam pairs are stored in each measuring point in a database.
Furthermore, in the method for selecting the intelligent reflecting surface communication beam based on the beam index map, the number of the selectable beam pairs corresponding to the K value in the candidate beam pair set of each user position is in direct proportion to the calculation and training overhead in the subsequent beam selection process.
Further, the method for selecting the communication beam of the intelligent reflecting surface based on the beam index map, provided by the invention, comprises the steps of S203 obtaining a beam pair for user communication when the signal propagation environment is stable; when the signal propagation environment changes rapidly, step S204 is adopted to select the optimal beam pair as the beam pair for user communication.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
(1) the method can be fully based on the position provided by the beam index map and the corresponding optimal beam information, the information reflects the actual geographic environment and the signal propagation environment to a certain extent, and the accuracy and the environmental adaptability of the selected beam are ensured.
(2) The method can fully utilize the existing base station beam scanning method, and the beam selection method based on the lightweight training in the step (204) actually reduces the original beam scanning range by means of the beam index map, thereby reducing the beam scanning expense.
(3) The method can select different beam index maps according to different communication scenes and requirements, determine different beam candidate set sizes and different beam selection methods, and has strong flexibility and wide application range.
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Fig. 1 is a schematic diagram of beam index map construction provided in the embodiment of the present invention.
Fig. 2 is a schematic diagram of an example of selecting an intelligent reflecting surface communication beam based on a beam index map according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a beam selection process of an intelligent reflective surface communication based on a beam index map according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The invention can establish the mapping relation between the user position and the optimal beam pair of the base station end and the intelligent reflector end by utilizing the beam index map, and for each user position in the service area, the beam index map can provide the optimal beam pair of the base station end and the intelligent reflector end according to the stored position and the corresponding beam index information, thereby greatly reducing the training overhead on one hand, and ensuring the accuracy and the environmental adaptability of the provided beam as the information stored in the beam index map can reflect the actual communication environment information to a certain extent on the other hand.
Therefore, the invention provides an intelligent reflector communication beam selection method based on a beam index map, which obtains the optimal beam information based on the actual geographic environment and the signal propagation environment through offline ray tracing simulation calculation, on-site measurement or online real-time measurement and the like, and constructs an optimal beam database with the position information as the index. Based on the constructed beam index map, a novel intelligent reflector communication beam selection method is provided, namely, positioning systems such as Beidou, GPS, 5G, laser radar and the like are used for obtaining user position information, a candidate beam pair set at the position is obtained through the beam index map, beam selection is directly carried out or beam scanning is carried out on the candidate beam pair set according to the occurrence times of different beam pairs in the candidate beam pair set, so that beam selection free of channel training or light-weight channel training is realized, the expense and complexity of intelligent reflector communication beam selection are reduced, and the effective communication rate is improved.
Referring to the flow diagram shown in fig. 3, the method for selecting a communication beam of an intelligent reflecting surface provided by the present invention includes the following main steps:
a. acquiring an optimal beam pair of a base station end and an intelligent reflecting surface end corresponding to user position information by an off-line ray tracing simulation calculation, on-site measurement and on-line measurement method based on information such as geographic environment information, signal propagation environment and the like, and constructing a beam index map;
b. when the base station end and the user end need to communicate, the real-time geographic position of the user is obtained through positioning systems such as a GPS, a Beidou, a cellular network, a laser radar and the like;
c. according to the position information of the user, K measuring point positions closest to the position of the user are found in the beam index map, and a candidate beam pair set is constructed by utilizing the optimal beam pair corresponding to the K measuring point positions in the beam index map;
d. directly selecting the beam pair with the largest occurrence number in the candidate beam pair set as the beam pair for the user communication, when a plurality of beam pairs with the largest occurrence number and equal occurrence number exist in the candidate beam pair set, calculating the sum of reciprocal distances from the measurement point positions corresponding to different beam pairs to the user position, and selecting the beam pair with the largest sum of the reciprocal distances as the beam pair for the user communication;
e. the base station end and the intelligent reflecting surface end scan the candidate beam pair set, and an optimal beam pair is selected according to the signal-to-noise ratio received by a user;
f. the base station end and the intelligent reflector end communicate with the user by using the beam pair corresponding to the optimal beam pair index obtained in the step d or e within the time with the next time length of t;
g. when the time t is finished, the base station end or the user end judges whether the communication is finished, and if the communication is finished, the process is finished;
if the communication continues, repeating the processes b-g until the communication is finished;
h. and c, when the using time of the map exceeds the time limit T or the actual geographic environment or the signal propagation environment corresponding to the map has great change, executing the operation of the step a to update the map.
Wherein:
the beam selection method takes the position information of a user side as input, takes the optimal beam pair of a base station end and an intelligent reflector end corresponding to the position as output, and the existing positioning technologies such as GPS, Beidou, cellular network, laser radar and the like and other continuously developed positioning technologies can be applied to the acquisition of the position information of the user side.
The beam index map focuses on the actual transmission environment of signals based on information such as geographic environment information and signal propagation environment, obtains the optimal beam pair of a base station end and an intelligent reflecting surface end corresponding to user position information through methods such as off-line ray tracing simulation, on-site measurement and on-line measurement, and constructs the beam index map.
According to the antenna configuration of the base station end, the configuration of the intelligent reflecting surface reflecting unit, the weather condition, the task requirement and the like, various types of beam index maps of the same service area can be constructed, and in an actual communication scene, different types of beam index maps are called according to the configuration of different base station ends and intelligent reflecting surface ends, the weather condition, the task requirement and the like, so that the applicability and the accuracy of the beam index maps are improved.
The beam index map forms a database for storing the optimal beam indexes of the base station side and the intelligent reflecting surface side based on the position information. And when the situation that the service area of the beam index map has large environmental change is monitored, the step a is executed to update the map. For the scene that the base station end and the user end are seriously blocked, namely the base station end is mainly communicated with the user end through the intelligent reflecting surface, the channel between the base station and the intelligent reflecting surface is slower than the channel between the intelligent reflecting surface and the user, so that the optimal beam at the base station end can be updated at a lower frequency, and the optimal beam at the intelligent reflecting surface end can be updated at a higher frequency.
For each measuring point position in the beam index map, different optimal beam pairs are possible at different times, and a plurality of optimal beam pairs can be stored, so that the adaptability to environmental changes is improved to a certain extent.
The candidate beam pair set size K for each user position determines the number of beam pairs to be selected on the one hand, and also relates to the overhead of calculation and training in the subsequent beam selection process on the other hand. For some cases where the environment changes slowly or the device processing performance is limited, a smaller value of K may be selected, and for some cases where the environment changes rapidly or the device processing performance is superior, a larger value of K may be selected.
The method for directly selecting the optimal beam pair of the base station end and the intelligent reflector end according to the occurrence frequency of different beam pairs in the step d does not need extra training overhead, and is suitable for scenes with relatively stable signal propagation environments, and the method for selecting the optimal beam pair of the base station end and the intelligent reflector end through small-range beam scanning in the step e needs light-weight training overhead and is suitable for scenes with relatively fast signal propagation environment change.
And d, in the step e or the step d, the optimal base station end intelligent reflector end beam pair obtained in real time on line through the beam index map based on the user position information can be fed back to the map building and updating system on line in real time, or can be cached at the base station end user side, and fed back to the map building and updating system off line after the time is mature or reaches a certain data volume.
The method is not only suitable for simple scenes of a single user and a single intelligent reflecting surface, but also suitable for complex scenes of a plurality of users and a plurality of intelligent reflecting surfaces, different types of beam index maps can be selected according to different scenes, and then the optimal beam pairs of the base station end and the intelligent reflecting surface end are further selected.
Fig. 1 illustrates a data source and a construction method of a beam index map according to an exemplary embodiment of the present invention.
FIG. 2 is a diagram illustrating an example of a practical scenario and effect for intelligent reflector communication beam selection based on a beam index map, according to an example embodiment. And according to different user positions, the base station end and the intelligent reflector end select different optimal beams to communicate with the user based on the beam index map.
In the beam index map building stage, Q represents a set of measurement point positions, QiIndicating the position of each measuring point, FiThe representation corresponds to a position qiBase station side optimal beam index, ViThe representation corresponds to a position qiThe intelligent reflecting surface end optimal beam index. In the information acquisition phase, q represents the obtained user location information. In the beam selection phase, W represents a set of candidate beam pairs and K represents the number of elements in the set of candidate beam pairs. T denotes a coherent slot of a channel, and T denotes a beam index map use period.
Based on the above definitions, the specific implementation steps of the exemplary embodiment of the proposed method can be summarized as follows:
1. and a beam index map construction phase. Firstly, determining a beam index map measuring point position set Q = [ Q ]1,q2,…,qN]Then for each position Q in QiI =1,2, …, N, using off-line field measurementsObtaining corresponding base station end and intelligent reflecting surface end optimal wave beam pairs in the modes of ray tracing simulation or on-line measurement and the like and indexing the optimal wave beam pairs in the codebook (F)i,Vi) And storing to form a database.
2. And an information acquisition stage. Before communication, the base station side acquires the position information q of the user side through positioning the user side, or the user side acquires the position information through a positioning system, such as a GPS, a Beidou, a cellular network, a laser radar and the like, and sends the position information q to the base station side.
3. A beam selection phase. And the base station end selects a corresponding beam index map through analyzing factors such as equipment configuration, weather factors, task requirements and the like.
4. A beam selection phase. And (3) the base station end finds K measuring points with the nearest distance q and the optimal beam pair indexes of the base station end and the intelligent reflector end corresponding to the K measuring points in the beam index map according to the user side position information q obtained in the step (2) to form a candidate beam pair set W.
5. A beam selection phase. And calculating the occurrence times of different beam pairs in the candidate beam pair set W, and selecting the beam pair with the maximum occurrence time as the beam pair for communicating with the user. And when the frequency of the occurrence of a plurality of beam pairs in the candidate beam pair set W is equal and maximum, respectively calculating the sum of the reciprocal distances from the measurement point position corresponding to each beam pair to q, and selecting the beam pair corresponding to the maximum value as the beam pair communicated with the user.
6. A beam selection phase. And the base station end and the intelligent reflector end traverse different beam pairs according to the beam candidate set W, and select the optimal beam pair as the beam pair communicated with the user according to the signal-to-noise ratio received by the user end.
7. And (5) a communication phase. And in the next time period t, the base station end and the intelligent reflecting surface end communicate with the user end by using the optimal beam pair obtained in the step 5 or the step 6.
8. A beam reselection phase. And after the time t is finished, the base station and the user judge whether to continue communication, and if not, the whole communication process is finished. If the communication needs to be continued, the process from step 2 to step 7 is repeated until the communication is finished.
9. And a map updating stage. When the map use time reaches the use period T or the environment of the area served by the map is monitored to be greatly changed, the step 1 is executed to update the map.
The method obtains the optimal wave beams of the base station end and the intelligent reflecting surface end corresponding to different measuring point positions through the modes of on-site measurement under a line, ray tracing simulation, on-line real-time measurement and the like, and constructs a wave beam index map (step 1). Based on the beam index map, optimal beam indexes of a base station side and an intelligent reflector side can be provided for all spatial positions in the service range of the beam index map through a beam selection method of channel-free training or lightweight channel training (step 2-step 7). The method also includes updating the beam index map to improve its accuracy and sustainability (step 9).
In conclusion, the invention solves the problems of high estimation difficulty of the communication channel of the intelligent reflecting surface, high training overhead of the traditional wave beam scanning method, complicated training process and the like by constructing and using the environment-perceived wave beam index map and combining with increasingly precise and diversified positioning methods, and simplifies the real-time wave beam selection process, thereby realizing the environment-perceived communication without channel training or light-weight channel training and greatly improving the effective communication speed.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. An intelligent reflector communication beam selection method based on a beam index map takes the position information of a user side as input and takes the optimal beam pair of a base station end and an intelligent reflector end corresponding to the position as output, and is characterized by comprising the following steps:
s1, obtaining the optimal beam information based on the actual geographic environment and the signal propagation environment, and constructing an optimal beam database with the position information as an index, namely a beam index map;
s2, based on the constructed beam index map, obtaining real-time geographic position information of a user by using multiple positioning systems, obtaining a candidate beam pair set at the position through the beam index map, and directly selecting beams according to the occurrence times of different beam pairs in the candidate beam pair set or scanning the beams of the candidate beam pair set to select an optimal beam pair; the base station end and the intelligent reflector end use the selected wave beam pair to communicate with the user within a set time length;
the beam index map forms a database for storing the optimal beam indexes of the base station end and the intelligent reflector end based on the position information; when the using time of the map exceeds the time limit T, or the actual geographic environment or the signal propagation environment corresponding to the map changes to a certain extent, executing step S1 to update the map;
for the scene that the base station end and the user end are seriously blocked, namely, the base station end mainly communicates with the user end through the intelligent reflecting surface, the optimal beam at the base station end is updated at a relatively low frequency, and the optimal beam at the intelligent reflecting surface end is updated at a relatively high frequency.
2. The method for selecting an intelligent reflector communication beam based on a beam index map as claimed in claim 1, wherein step S1 is implemented by obtaining an optimal beam pair of the base station side and the intelligent reflector side corresponding to the user location information through offline ray tracing simulation calculation, on-site measurement and online measurement based on the geographic environment information and the signal propagation environment information, and constructing the beam index map.
3. The method for selecting an intelligent reflector communication beam based on a beam index map as claimed in claim 1, wherein step S2 specifically includes:
s201, when a base station end and a user end need to communicate, acquiring real-time geographic position information of the user through a positioning system;
s202, according to the position information of the user, K measuring point positions closest to the position of the user are found in a beam index map, and a candidate beam pair set is constructed by utilizing the optimal beam pairs corresponding to the K measuring point positions in the beam index map;
s203, directly selecting the beam pair with the largest occurrence frequency in the candidate beam pair set as the beam pair for the user communication, when a plurality of beam pairs with the largest occurrence frequency and equal occurrence frequency exist in the candidate beam pair set, calculating the sum of reciprocal distances from the measuring point positions corresponding to different beam pairs to the user position, and selecting the beam pair with the largest sum of the reciprocal distances as the beam pair for the user communication;
s204, the base station end and the intelligent reflecting surface end perform beam scanning on the candidate beam pair set, and an optimal beam pair is selected according to the signal-to-noise ratio received by a user;
s205, the base station end and the intelligent reflector end communicate with the user by using the optimal beam pair obtained in the step S203 or S204 in the next time with the duration of t;
s206, when the time t is finished, the base station end or the user end judges whether the communication is finished, if so, the process is finished;
if the communication continues, steps S201-S205 are repeated until the communication ends.
4. The method of claim 1, wherein the method comprises: for each measurement point location in the beam index map, there is a different optimal beam pair at different times, with each measurement point storing multiple optimal beam pairs in the database.
5. The method of claim 1, wherein the method comprises: the number of the selectable beam pairs corresponding to the K values in the candidate beam pair set of each user position is in direct proportion to the calculation and training overhead in the subsequent beam selection process.
6. The method of claim 3, wherein the method comprises: when the signal propagation environment is stable, adopting step S203 to obtain a beam pair for user communication; when the signal propagation environment changes rapidly, step S204 is adopted to select the optimal beam pair as the beam pair for user communication.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111311635.XA CN113746520B (en) | 2021-11-08 | 2021-11-08 | Intelligent reflector communication beam selection method based on beam index map |
| JP2023545826A JP2024504784A (en) | 2021-11-08 | 2022-04-12 | Intelligent reflective surface communication beam selection method based on beam index map |
| PCT/CN2022/086405 WO2023077724A1 (en) | 2021-11-08 | 2022-04-12 | Beam index map-based intelligent reflecting surface communication beam selection method |
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| CN114553643B (en) * | 2022-04-24 | 2022-08-02 | 杭州电子科技大学 | Millimeter wave intelligent super-surface channel estimation method based on double-time scale cooperative sensing |
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| US20240098518A1 (en) * | 2022-09-15 | 2024-03-21 | Qualcomm Incorporated | Coarse and refined beam determination for a sub-terahertz beam path |
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