Adaptive beam directional antenna resource scheduling method and device based on reflection path enhancement

Abstract

The invention discloses an adaptive beam directional antenna resource scheduling method and device based on reflection path enhancement, and a user has two transmission paths: a main receiver for direct line-of-sight (LoS) communication; the auxiliary receiver forms a virtual receiving node through a reflection path; in each round, the base station carries out multicast scheduling according to the following steps: firstly, when a user set is not empty, beam direction scanning and maximum user coverage calculation are carried out on each beam; for each beam, calculating the weight of the resource required by the unit user based on the number of the physical resource blocks, selecting the beam with the minimum weight as the optimal beam, and accumulating the number of the occupied physical resource blocks into the total resource consumption; and removing all users covered by the optimal beam from the total user set, deleting the corresponding main receiver and auxiliary receiver, and ending the transmission until all the users receive the data stream. The modulation and coding scheme is dynamically selected, the PRB is scheduled, and efficient data transmission is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless relay network communications, and relates to an adaptive beam resource scheduling method and device based on reflection path enhancement. Background Art

[0002] 3GPP defines two operating modes for the Multimedia Broadcast / Multicast Service (MBMS): broadcast and multicast. In multicast mode, multimedia data is transmitted unidirectionally from a single source to a group of users within a specific multicast area. The network defines the corresponding multicast area as needed and can selectively deliver data to one or more consecutive multicast sessions.

[0003] Due to their high frequency and short wavelength, millimeter-wave signals experience significant path loss during transmission. Beamforming techniques are often required to focus the signal in a specific direction, creating "directivity." Generally speaking, the wider the beam, the lower the gain of directional transmission, and the signal-to-noise ratio (SNR) experienced by users. Conversely, while narrow beams offer a higher SNR, they also reduce coverage. This phenomenon highlights the inherent contradiction between directional transmission and wireless broadcasting.

[0004] With the development of 5G and future 6G communication systems, millimeter wave communication is becoming a key technology due to its high bandwidth advantages. However, millimeter wave transmission faces challenges such as line-of-sight (LoS) obstruction and large path loss. To improve communication efficiency, multi-beam directional antennas have become a common technical means. However, in terms of resource scheduling, existing strategies generally suffer from coarse scheduling granularity, inefficient use of physical resource blocks (PRBs), and neglect of reflection paths. Typically, scheduling strategies only consider line-of-sight connections on the main path and fail to fully utilize reflection paths in the environment, resulting in insufficient resource utilization and uneven user service.

[0005] At the same time, research has shown that in the presence of strong reflectors such as metal surfaces, the channel quality of non-line-of-sight (NLOS) paths based on reflection is comparable to that of line-of-sight (LOS) paths. Currently, most work only uses reflection paths as a backup solution when line-of-sight connections are blocked. Summary of the Invention

[0006] The present invention applies reflection paths to adaptive beamforming antenna resource scheduling and proposes a method and apparatus for adaptive beamforming antenna resource scheduling based on reflection path enhancement. The present invention dynamically selects a modulation and coding scheme (MCS) and schedules PRBs to achieve efficient data transmission, with the goal of minimizing the number of required PRBs.

[0007] The object of the present invention is achieved through the following technical solutions: In a first aspect, the present invention provides an adaptive beam directional antenna resource scheduling method based on reflection path enhancement, the method comprising the following steps:

[0008] (1) Initialization phase: Assume that the number of user equipment within the coverage area of ​​the base station is N, where each user equipment i∈N has two transmission paths: the primary receiver p i , used for direct line-of-sight LoS communication; secondary receiver s i , is a virtual receiving node formed by the reflection path;

[0009] (2) Data packet transmission phase: In each round, the base station performs multicast scheduling according to the following steps:

[0010] (2.1) When the user set N is not empty, the beam direction is scanned and the maximum user coverage is calculated for each beam;

[0011] (2.2) Calculate the number of physical resource blocks (PRBs) a required for the beam kj .

[0012] (2.3) For each beam, the weight of the resources required per user is calculated based on the number of physical resource blocks. The beam with the smallest weight is selected as the optimal beam, and the number of physical resource blocks it occupies is added to the total resource consumption.

[0013] (2.4) All users covered by the optimal beam are removed from the total user set N, and the corresponding primary and secondary receivers are deleted;

[0014] (2.5) Determine whether all users have received the data stream. If so, end the transmission; if not, return to (2.1).

[0015] Furthermore, in step (2.1), the user equipment farthest from the base station among the current primary receivers is preferentially selected, so that the beam set can find a combination that can cover more user receivers while maintaining effective coverage. By utilizing the reflection path where the secondary receiver is located, the effective coverage range of the beam can be expanded, thereby improving the overall number of user coverage.

[0016] Furthermore, in step (2.1), the specific calculation process is as follows:

[0017] 1) Select the user equipment farthest from the base station among the current main receivers, and use the azimuth angle θ of its main receiver position i As the center, it is the center direction of the current beam scan;

[0018] 2) Get the width of the beam ω j , calculate its half width as Δθ=ω j / 2; with reference direction θi As the center, in [θ i -Δθ,θ i +Δθ] interval, and set the scanning angle step to δθ; the number of users r that the beam can cover simultaneously is obtained. jm , take the maximum number of users covered by beam j as b kj =maxr jm .

[0019] Furthermore, in step (2.1), if both the primary receiver and the secondary receiver of a user are covered at the same time, only one user is counted.

[0020] Furthermore, the specific implementation of step (2.2) is as follows: Calculate the number of physical resource blocks (PRBs) required for the beam kj , whose expression is:

[0021]

[0022] where h kj represents the spectrum efficiency of the farthest receiver in the coverage area of ​​beam j during the kth scheduling, in bit / s / Hz, w PRB is the bandwidth size of a single PRB; each time a beam is selected, the corresponding spectrum efficiency h is obtained by looking up the table according to the worst channel condition among the users covered by the current beam. kj , further calculate the required PRB resources.

[0023] Furthermore, the MCS mapping table in the 3GPP NR standard is used to quantify the relationship between SINR value and spectrum efficiency. The table maps different MCS indices to modulation modes, coding rates and corresponding spectrum efficiencies.

[0024] Furthermore, in step (2.3): for each beam, the size of the physical resources required by its unit user is calculated and recorded as the weight:

[0025]

[0026] The beam with the smallest weight is selected in the beam, recorded as the optimal beam in the kth round, and the number of physical resource blocks it occupies is accumulated to the total resource consumption sum PRB middle.

[0027] In the second aspect, the present invention also provides an adaptive beam directional antenna resource scheduling device based on reflection path enhancement, comprising a memory and one or more processors, wherein the memory stores executable code, and when the processor executes the executable code, it implements the adaptive beam directional antenna resource scheduling method based on reflection path enhancement.

[0028] In a third aspect, the present invention further provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the adaptive beam-directional antenna resource scheduling method based on reflection path enhancement.

[0029] In a fourth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the adaptive beam-directional antenna resource scheduling method based on reflection path enhancement.

[0030] The present invention has the following technical effects: the present invention applies the reflection path to the adaptive beam directional antenna resource scheduling, and realizes the optimization of the high efficiency and resource utilization of millimeter wave multicast transmission by dynamically selecting the modulation and coding scheme (MCS) and physical resource block (PRB) scheduling. In the initialization stage, the present invention selects the corresponding user set based on the main receiver and the secondary receiver of the user equipment within the coverage range of the base station, and provides accurate coverage information for subsequent scheduling; in the data packet transmission stage, the system obtains the corresponding spectrum efficiency by using the MCS mapping table in the 3GPP NR standard for the receiver with the worst condition in the user channel state, and then accurately calculates the required PRB resources, and adopts the beam scanning and unit user resource weight evaluation method starting from the user farthest from the base station to select the optimal beam for data multicast while ensuring the transmission bit rate. Through this comprehensive strategy, the present invention not only effectively improves the throughput of millimeter wave multicast scheduling and significantly reduces the total resource consumption of the system, but also makes full use of the advantages of the reflection path and significantly alleviates the resource waste problem caused by the traditional scheduling strategy relying solely on line-of-sight transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a reflection schematic diagram of the present invention.

[0032] Figure 2 This is a flow chart of an adaptive beam-directional antenna resource scheduling method based on reflection path enhancement provided by the present invention.

[0033] Figure 3 This is a structural diagram of an adaptive beam-directional antenna resource scheduling device based on reflection path enhancement provided by the present invention. DETAILED DESCRIPTION

[0034] To further illustrate the millimeter-wave multicast scheduling strategy based on reflection path enhancement proposed in the present invention, the following is a complete scheduling process based on actual user layout, including initialization, beam scanning, SINR calculation, MCS mapping, spectrum efficiency evaluation and PRB scheduling, to illustrate the specific application process of the present invention.

[0035] The present invention proposes an adaptive beam-directional antenna resource scheduling method based on reflection path enhancement. Even if the line-of-sight path is not blocked, the reflection path can be opportunistically utilized to expand the coverage range of a single beam, thereby further improving the overall transmission performance of millimeter wave communication through reasonable transmission path and beam joint scheduling.

[0036] like Figure 1 As shown in the left figure of , assuming that there are two receiving nodes in the network, nodes 1 and 2, and they are far away from each other; the optimal transmission strategy is to use two "narrow" beams to perform unicast transmission to nodes 1 and 2 respectively. Figure 1 In the right figure, there is an additional reflection path (green dashed line) between the transmitter and node 1. The present invention records the mirror image of node 1 after the reflection surface as node 1'. Since node 1' is located near node 2, the transmitter can transmit data to node 1' and node 2 at the same time through a "wider" beam. The strategy of the present invention not only effectively expands the coverage range of the beam, but also significantly improves resource utilization, providing a new technical approach for the application of millimeter wave communication systems in complex environments. The specific steps of the present invention are as follows:

[0037] (1) Initialization phase

[0038] Assume that the set of user equipment within the coverage area of ​​the base station is N, where each user equipment i∈N has two transmission paths: the primary receiver p i , for direct line-of-sight (LoS) communication; secondary receiver s i , is a virtual receiving node formed by the reflection path. Define set P to represent the set of primary receivers of all users, set S to represent the set of secondary receivers, satisfying P = {p i |i∈N},S={s i |i∈N}. The system requires the multicast transmission bit rate to be C. Based on the antenna configuration of the base station, the set of its transmittable beamwidths is denoted as J. Let k be the scheduling round, initialized to 0.

[0039] (2) Data packet transmission phase. In each round, the base station performs multicast scheduling according to the following steps:

[0040] (2.1) When the user set N is not empty, k = k + 1, and for each beam j∈J, the beam direction is scanned and the maximum user coverage is calculated:

[0041] (2.1.1) Select the user equipment i that is farthest from the base station among the current main receivers * , with the azimuth angle θ of its main receiver position i As the center, it is used as the center direction of the current beam scan.

[0042] (2.1.2) Get the width ω of the beam j j, calculate its half width as Δθ=ω j / 2; with reference direction θ i As the center, in [θ i -Δθ,θ i +Δθ] interval, and the scanning angle step is δθ, usually δθ<ω j , that is, each time the beam center direction θ is changed jm :

[0043]

[0044] Calculated in When beam j is at θ j The number of users that can be covered simultaneously under the direction angle r jm (If a user's primary receiver and secondary receiver are covered at the same time, it is counted as only one user.) The maximum number of users covered by beam j is b. kj =maxr jm .

[0045] (2.1.3) Calculate the number of PRBs (Physical Resource Blocks) a required for beam j to cover the maximum number of users. kj , whose expression is:

[0046]

[0047] where h kj represents the spectrum efficiency (in bit / s / Hz) corresponding to the farthest receiver in the coverage area of ​​beam j during the kth scheduling, w PRB is the bandwidth size of a single PRB.

[0048] (2.1.4) For each beam j, calculate the weight of the resources required by its unit user:

[0049]

[0050] (2.2) In j∈J, select the weight ρ kj The smallest beam is recorded as the optimal beam And the number of PRBs occupied by it Added to the total system resource consumption:

[0051] (2.3) j * All covered users are removed from the total user set N, and the corresponding primary and secondary receivers are deleted at receivers P and S.

[0052] (2.4) If the user set N is not empty, return to step (2.1); if it is an empty set, terminate the iteration process and output the total system resource cost: sum PRB .

[0053] In step (2.1.3), in the kth beam scheduling, it is necessary to find the user with the worst channel condition among the receivers covered by the current beam j. The corresponding SINR value is mapped to the spectrum efficiency h through the 3GPP standard MCS table. kj .

[0054] To this end, the present invention uses the MCS (Modulation and Coding Scheme) mapping table in the 3GPP NR standard to quantify the relationship between SINR value and spectrum efficiency. The mapping relationship refers to the MCS table defined in the 3GPP TS 36.213 protocol, which maps different MCS indices to modulation modes, coding rates, and corresponding spectrum efficiencies (in units of bit / s / Hz). Each time a beam is selected, the system obtains the corresponding spectrum efficiency h by looking up the table based on the worst channel condition among the users covered by the current beam. kj , in order to further calculate the required PRB resources.

[0055] A specific embodiment of the present invention is as follows:

[0056] The parameters of the present invention configure the transmission power P of the base station A The user gain G of the user terminal is 30dBm. U is 10dB, the carrier frequency f c is 28GHz, and the bandwidth of a single PRB is w PRB is 1.44MHz, the total bandwidth w is 50Mhz, and the noise power spectrum density N0 is 10 - 17.4 W / Hz (-174dBm / Hz), interference power M I Set to 10 -10 W (-100dBm) is used as a fixed interference margin, and the path loss formula is: L dB (y) = 32.4 + 21log 10 (y)+20log 10 (f c ). Where y represents the distance between the base station and the target receiving node (primary receiver or secondary receiver) (unit: meter). Assume that the multicast transmission bit rate is set to C = 2Gbps. The beamwidth set supported by the base station is:

[0057]

[0058] The main lobe gain formula is:

[0059]

[0060] The sidelobe gain is fixed at δ = 0.1 (-10dB). When the receiver is within the main lobe coverage, it is considered to be effectively covered. The receiver in the side lobe is considered to be unable to receive data. Indicates that the current beam adopts the set A width configuration specified in .

[0061] Assume that there are 3 user devices in the system, initialize the user set Each user equipment i∈N contains a set of primary receivers p i and secondary receivers i , forming the main path (LoS) and the reflection path (NLoS). The following are the coordinates of the user's main and secondary receivers:

[0062] User 1: Primary receiver coordinates p1 = (0, 150), secondary receiver s1 = (180, -30)

[0063] User 2: Primary receiver coordinates p2 = (160, 40), secondary receiver s2 = (-50, -160)

[0064] User 3: Primary receiver coordinates p3 = (-40, -150), secondary receiver s3 = (-180, -30)

[0065] 1) First round of scheduling, k = 1:

[0066] Calculate the current distance between the main receiver and the base station:

[0067]

[0068] rice

[0069] rice

[0070] The current farthest primary receiver is p2 = (160, 40). Therefore, the reference user for this round of scheduling is user 2, whose primary receiver determines the central azimuth angle during scanning as

[0071]

[0072] In the traversal beam set For each beam j in the , under the premise of ensuring coverage of user 2, calculate the maximum number of users that the beam can serve simultaneously. For example, when the beam width ω3 = 30°, its half width is Δθ = 15°, with the reference direction 14.04° as the center, and scans at equal intervals in the interval [-0.04, 29.04]. If the scanning angle step size is 10°, θ 20 =θ i-Δθ+m·δθ=14.04-30+0·10=-15.96, in the interval [-15.96,14.04], the number of users r that the current beam can simultaneously cover 20 =2;θ 21 =θ i -Δθ+m·δθ=14.04-30+1·10=-5.96. In the interval [-5.96,24.04], the number of users r that the current beam can simultaneously cover is 21 is 1; θ 22 =θ i -Δθ+m·δθ=14.04-30+2·10=4.04, in the interval [4.04,34.04], the number of users r that the current beam can simultaneously cover 22 is 1; θ 23 =θ i -Δθ+m·δθ=14.04-30+3·10=14.04, in the interval [14.04,44.04], the number of users r that the current beam can simultaneously cover 23 is 1; the maximum number of users covered by the current beam j = 3 is b 13 =2.

[0073] The beam width θ = 10°, 20° covers at most one receiver p2, so b 11 、b 12 1,θ=30°, 60° can cover (s1, p2) at the same time, b 13 、b 14 When θ=120°, it can cover (p1, s1, p2), b 15 is 2.

[0074] The present invention will now illustrate how to obtain the current resource consumption a when the beam width θ=10° and j=1. 11 :

[0075] Transmitter gain The path loss is The signal-to-noise ratio of the current farthest user p2 is:

[0076] According to the MCS (Modulation and Coding Scheme) table mapping table, this value is greater than the threshold of CQI = 12 (14.122dB) and less than the threshold of CQI = 13 (15.849dB). It can be obtained that MCS Index = 12, modulation mode: 64QAM, corresponding to the spectrum efficiency h 11 =3.9023bit / s / Hz. Current resource demand a 11 and weight ρ11 As shown below:

[0077]

[0078] The MCS table defined in the 3GPP TS 36.213 protocol in the present invention is as follows:

[0079]

[0080] In addition, let's take an example. When the beam width θ = 30° and j = 3, and both s1 and p2 are covered at the same time, how to get the current resource consumption a? 13 :

[0081] Therefore, the farthest receiver is currently s1.

[0082] The base station transmission gain is The path loss is The signal-to-noise ratio of the current farthest user s1

[0083] According to the MCS table mapping table: MCS Index = 9, modulation mode: 64QAM, corresponding spectrum efficiency h 13 =2.4063bit / s / Hz.

[0084]

[0085]

[0086] It can be seen that when the beam angle increases and the number of covered users increases, the average PRB consumption of a single user decreases.

[0087] The following table can be obtained through calculation:

[0088]

[0089] Therefore, in round k=1, the beam width 30° is selected as the optimal beam j * , schedule user 1 and user 2, sum PRB =578, and update the set: N←{3}, P←{p3},

[0090] 2) Second round of scheduling, k = 2:

[0091] The farthest primary receiver is p3, and the optimal beam j is selected. *=1, 10° to cover, the current SINR of p3 is 16.01db, according to the MCS table mapping table MCS Index = 13, modulation mode: 64QAM, corresponding spectral efficiency h 13 =3.9023bit / s / Hz.

[0092]

[0093] ρ 21 =356

[0094] Therefore, in the case of k=1 rounds, sum PRB =578+356=934, and update the set:

[0095] 3) User Set

[0096] End scheduling, the final number of PRBs consumed by the system is sum PRB =934.

[0097] The present invention belongs to the field of wireless relay network communication technology, based on a collaborative optimization resource scheduling strategy of reflection path enhancement and adaptive beam scheduling. By introducing this solution, while ensuring the quality of service for key users, it solves the inherent contradiction between coverage and resources in millimeter wave multicast, maximizes system resource utilization, and has strong patentability and industrial application value.

[0098] Corresponding to the aforementioned embodiment of an adaptive beam directional antenna resource scheduling method based on reflection path enhancement, the present invention also provides an embodiment of an adaptive beam directional antenna resource scheduling device based on reflection path enhancement.

[0099] See also Figure 3 An embodiment of the present invention provides an adaptive beam directional antenna resource scheduling device based on reflection path enhancement, including a memory and one or more processors, wherein the memory stores executable code, and when the processor executes the executable code, it is used to implement an adaptive beam directional antenna resource scheduling method based on reflection path enhancement in the above embodiment.

[0100] An embodiment of an adaptive beam-directional antenna resource scheduling device based on reflection path enhancement provided by the present invention can be applied to any device with data processing capabilities, and the device with data processing capabilities can be a device or apparatus such as a computer. The device embodiment can be implemented through software, or through hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, it is formed by the processor of any device with data processing capabilities in which it is located reading the corresponding computer program instructions in the non-volatile memory into the memory for execution. From the hardware level, if Figure 3 As shown in FIG, a hardware structure diagram of any device with data processing capability where an adaptive beam directional antenna resource scheduling device based on reflection path enhancement provided by the present invention is located, except Figure 3 In addition to the processor, memory, network interface, and non-volatile memory shown, any device with data processing capabilities in which the apparatus in the embodiment is located may also include other hardware, generally based on the actual functions of the device with data processing capabilities, which will not be described in detail.

[0101] The implementation process of the functions and effects of each unit in the above-mentioned device is specifically described in the implementation process of the corresponding steps in the above-mentioned method, and will not be repeated here.

[0102] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present invention. A person of ordinary skill in the art can understand and implement the present invention without inventive work.

[0103] An embodiment of the present invention further provides a computer-readable storage medium having a program stored thereon. When the program is executed by a processor, the method for adaptive beam-directional antenna resource scheduling based on reflection path enhancement in the above embodiment is implemented.

[0104] The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities described in any of the aforementioned embodiments, such as a hard disk or memory. The computer-readable storage medium may also be an external storage device of any device with data processing capabilities, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc. equipped on the device. Furthermore, the computer-readable storage medium may also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or is to be output.

[0105] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the adaptive beam directional antenna resource scheduling method based on reflection path enhancement.

[0106] The preferred embodiments and principles of the present invention are described in detail above. For those skilled in the art, there may be changes in the specific implementation methods based on the ideas provided by the present invention, and these changes should also be considered as the scope of protection of the present invention.

Claims

1. A method for adaptive beam directional antenna resource scheduling based on reflection path enhancement, characterized in that: The method comprises the following steps: (1) Initialization phase: Assume that the number of user equipment within the coverage area of ​​the base station is N, where each user equipment i∈N has two transmission paths: the primary receiver p i , used for direct line-of-sight LoS communication; secondary receiver s i , is a virtual receiving node formed by the reflection path; (2) Data packet transmission phase: In each round, the base station performs multicast scheduling according to the following steps: (2.1) When the user set N is not empty, the beam direction is scanned and the maximum user coverage is calculated for each beam; (2.2) Calculate the number of physical resource blocks (PRBs) a required for the beam kj . (2.3) For each beam, the weight of the resources required per user is calculated based on the number of physical resource blocks. The beam with the smallest weight is selected as the optimal beam, and the number of physical resource blocks it occupies is added to the total resource consumption. (2.4) All users covered by the optimal beam are removed from the total user set N, and the corresponding primary and secondary receivers are deleted; (2.5) Determine whether all users have received the data stream. If so, end the transmission; if not, return to (2.1).

2. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 1, characterized in that: In step (2.1), the user equipment farthest from the base station among the current primary receivers is preferentially selected, so that the beam set can find a combination that can cover more user receivers while maintaining effective coverage. By utilizing the reflection path where the secondary receiver is located, the effective coverage range of the beam can be expanded, thereby improving the overall number of user coverage.

3. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 1, characterized in that: In step (2.1), the specific calculation process is as follows: 1) Select the user equipment farthest from the base station among the current main receivers, and use the azimuth angle θ of its main receiver position i As the center, it is the center direction of the current beam scan; 2) Get the width of the beam ω j , calculate its half width as Δθ=ω j / 2; with reference direction θ i As the center, in [θ i -Δθ,θ i +Δθ] interval, and set the scanning angle step to δθ; the number of users r that the beam can cover simultaneously is obtained. jm , take the maximum number of users covered by beam j as b kj =maxr jm .

4. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 3, characterized in that: In step (2.1), if a user's primary receiver and secondary receiver are covered at the same time, only one user is counted.

5. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 2, characterized in that: Specific implementation of step (2.2): Calculate the number of physical resource blocks (PRBs) required for the beam kj , whose expression is: where h kj represents the spectrum efficiency of the farthest receiver in the coverage area of ​​beam j during the kth scheduling, in bit / s / Hz, w PRB is the bandwidth size of a single PRB; each time a beam is selected, the corresponding spectrum efficiency h is obtained by looking up the table according to the worst channel condition among the users covered by the current beam. lj , further calculate the required PRB resources.

6. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 5, characterized in that: The MCS mapping table in the 3GPP NR standard is used to quantify the relationship between SINR value and spectrum efficiency. The table maps different MCS indices to modulation modes, coding rates, and corresponding spectrum efficiencies.

7. The adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to claim 3, characterized in that: Step (2.3): For each beam, calculate the size of the physical resources required by its unit user and record it as the weight: The beam with the smallest weight is selected in the beam, recorded as the optimal beam in the kth round, and the number of physical resource blocks it occupies is accumulated to the total resource consumption sum PRB middle.

8. An adaptive beam-direction antenna resource scheduling device based on reflection path enhancement, comprising a memory and one or more processors, wherein the memory stores executable code, characterized in that: When the processor executes the executable code, it implements an adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to any one of claims 1 to 7.

9. A computer-readable storage medium having a program stored thereon, characterized in that: When the program is executed by a processor, an adaptive beam directional antenna resource scheduling method based on reflection path enhancement according to any one of claims 1 to 7 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for adaptive beam-directional antenna resource scheduling based on reflection path enhancement according to any one of claims 1 to 7 is implemented.

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