A 6g network service cooperation transmission method

Abstract

This invention discloses a 6G non-cellular network service cooperative transmission method, comprising: Step 1: measuring the distance between the user terminal and each non-cellular network cell; Step 2: normalizing the distance between the user terminal and the non-cellular network cell; Step 3: calculating the radio resource utilization rate of each non-cellular network cell; Step 4: calculating the amount of radio resources required by the user terminal for service transmission; Step 5: calculating the weighting coefficient of each non-cellular network cell for user terminal service transmission based on the distance and radio resource utilization rate; Step 6: calculating the radio resources required by each non-cellular network cell for user terminal service transmission based on the weighting coefficient and service carrying efficiency; Step 7: based on the calculated radio resources required by each non-cellular network cell for user terminal service transmission, each non-cellular network cell cooperates to complete the user terminal service transmission.

Description

Technical Field

[0001] This invention relates to the field of mobile communication technology, and in particular to a 6G non-cellular network service cooperative transmission method. Background Technology

[0002] In June 2021, the IMT-2030 (6G) Promotion Group of the Ministry of Industry and Information Technology released the white paper "6G Overall Vision and Potential Key Technologies," which proposed some key technical indicators for 6G. Air interface wireless transmission technology is the main technical approach to achieving these key 6G indicators. In the spectrum currently used by 5G (including millimeter wave and sub-6 GHz bands), the scarcity of spectrum resources is very prominent. For future 6G networks, spectrum efficiency urgently needs to be further improved.

[0003] Multi-antenna technology and dense networking, as the main methods to improve spectrum efficiency, have been widely used in 3G / 4G / 5G networks, along with cell splitting technology, from macrocells and microcells to picocells. However, interference problems encountered in cell splitting prevent the continuous improvement of spectrum efficiency in mobile communication systems. Therefore, the industry is researching ways to break away from traditional cellular architecture and cell splitting thinking, adopting new cellular-free networking (de-cellularization) and corresponding large-scale cooperative MIMO transmission technologies.

[0004] In 6G acellular architecture, improving spectrum efficiency through cooperative transmission inevitably raises the issue of allocating and transmitting user terminal services across multiple acellular network cells. There is limited research on cooperative transmission in acellular architectures; currently, a method of distributing user traffic evenly across multiple acellular network cells can achieve network cooperative transmission.

[0005] For user terminals operating in a 6G non-cellular network architecture, when data is collaboratively transmitted using multiple non-cellular cells, the data is distributed and transmitted collaboratively among these cells. Currently, a common approach is average service allocation, where the user distributes the total amount of data they need to transmit evenly across multiple non-cellular cells, with each cell cooperating to complete the transmission. However, in practice, different types of services carried by terminals inevitably have different network latency requirements; varying distances between user terminals and non-cellular cells result in different network quality (channel quality) across cells, leading to varying efficiency of radio resource carrying capacity per unit network; and different radio resource utilization rates across networks mean that average service allocation can significantly increase the radio resource utilization of some non-cellular cells, thus reducing network stability. Therefore, when collaboratively transmitting data between non-cellular cells, an average allocation approach makes it difficult to achieve optimal collaborative transmission of user terminals within a non-cellular network architecture. Therefore, in the 6G non-cellular network architecture, when user terminals cooperate in service transmission among multiple non-cellular cells, it is necessary to comprehensively consider the service type of the user terminal, the distance between the user terminal and the non-cellular cell, the wireless resource utilization rate of the non-cellular network cell, etc., in order to achieve good transmission of user terminal services in multiple non-cellular network cells. Summary of the Invention

[0006] Purpose of the invention: The technical problem to be solved by the present invention is to provide a 6G non-cellular network service cooperative transmission method to address the shortcomings of the existing technology.

[0007] In a 6G non-cellular network employing a cooperative transmission method, when allocating services required by user terminals across multiple non-cellular network cells, the network first considers the latency requirements of user terminal services. For services with high latency requirements, the network allocates more radio resources to them to improve carrying capacity and reduce latency. For non-cellular network cells closer to user terminals, the network fully utilizes its high carrying efficiency, providing more radio resources to user terminals to improve spectrum efficiency. For non-cellular network cells with low radio resource utilization, more radio resources can be provided to user terminals. This improves their radio resource utilization and avoids further increasing the radio resource utilization of other non-cellular network cells with high service loads, thereby improving network operational stability.

[0008] Under the 6G non-cellular network architecture, the services that user terminals need to transmit are distributed and carried among multiple non-cellular network cells according to the following steps to complete the collaborative transmission of services.

[0009] To address the aforementioned technical problems, this invention discloses a 6G non-cellular network service cooperative transmission method, comprising the following steps:

[0010] Step 1: Measure the distance between the user terminal and each non-cellular cell;

[0011] In a 6G non-cellular network architecture, a user terminal UT is surrounded by N non-cellular cells that can provide services to it. The i-th non-cellular cell is CELL-i. Through measurement and calculation, the distance between the user terminal UT and the base station of the i-th non-cellular cell is... ,in .

[0012] Step 2: Normalize the distance between the user terminal and the non-cellular base station;

[0013] The distances between the user terminal (UT) and each base station in a non-cellular cell, after normalization, are: ,Right now:

[0014] (1)

[0015] in, Let be the normalized distance between the user terminal UT and the i-th non-cellular base station.

[0016] Step 3: Calculate the wireless resource utilization rate of each non-cellular cell;

[0017] Assume the total number of radio resources in the i-th cell without cellular network is At a certain moment The total number of wireless resources occupied (used) is Its remaining available (idle) wireless resources are ,Right now:

[0018] (2)

[0019] Therefore, the i-th non-cellular cell is at time... The wireless resource utilization rate is It can be calculated using the following formula:

[0020] (3)

[0021] Step 4: Calculate the amount of wireless resources required by the user terminal for service transmission.

[0022] At a certain moment The total traffic volume that the user terminal UT needs to transmit is The service transmission latency requirement is (Different services have different requirements for transmission latency. In mobile communication systems, the three main service scenarios—low latency and high reliability—have the highest latency requirements; massive machine-type communications have relatively lower latency requirements; and enhanced mobile broadband has moderate latency requirements.) Therefore, regarding latency requirements… The amount of radio resources required for the transmission traffic TRA (Transmission Traffic Flow). It can be calculated using the following formula:

[0023] (4)

[0024] in: The network signal-to-noise ratio (SNR) is the service (data) carrying efficiency of a 6G non-cellular cell, which refers to the amount of service that a unit of radio resources (RB) can carry per unit of time. It is related to the quality of the network environment. A higher network SNR indicates better channel quality, and therefore higher service carrying efficiency, meaning a larger amount of service carried per unit of RB. Conversely, a lower network SNR indicates worse channel quality, and therefore lower service carrying efficiency, meaning a smaller amount of service carried per unit of RB. The network SNR is generally related to the location of the terminal within the coverage area of ​​the non-cellular cell. When the terminal is near the base station of the non-cellular cell, the network SNR is good; when the terminal is far from the base station, the network SNR is poor.

[0025] Based on the above analysis, the service carrying efficiency (the amount of service that a unit of radio resource RB can carry per unit of radio resource RB per unit time) in a cellless network is related to the distance between the terminal and the cellless network base station. The value of can be approximated by the following formula:

[0026] (5)

[0027] in, The amount of traffic that a unit of radio resource (RB) can carry per unit of time when a user terminal is at the edge of a cell without a cellular network. Let be a logarithmic function to base 10; k be a radio resource carrying efficiency adjustment factor; and D be the distance between the user terminal and the base station of the non-cellular cell. When the user terminal is located at the edge of the non-cellular cell, i.e.: hour( This refers to the distance between the edge of the non-cellular cell and the base station of the non-cellular cell, i.e., the cell coverage radius. ,Right now: .

[0028] Based on the above analysis, for the user terminal UT, the distance between the cell edge of the i-th non-cellular cell CELL-i and the non-cellular cell base station is... The distance between the user terminal and the i-th non-cellular base station is For the user terminal, the service carrying efficiency per unit radio resource (RB) of the i-th non-cellular cell is... It can be calculated using the following formula:

[0029] (6)

[0030] in, Let be the wireless resource carrying efficiency adjustment factor for the i-th cell. ; Let RB be the amount of traffic that a unit of radio resource can carry per unit of time when the user terminal is located at the edge of the i-th non-cellular cell.

[0031] For N cells without cellular networks, the average efficiency of RB service carrying per unit of radio resources is: It can be calculated using the following formula.

[0032] (7)

[0033] When considering that multiple non-cellular cells jointly serve the user terminal, the average of the unit radio resource (RB) service carrying efficiency of multiple non-cellular cells is used to calculate the total traffic volume transmitted by the user terminal (UT). When performing a service, the method for calculating the required number of wireless resources can be adjusted as follows.

[0034] (8)

[0035] Step 5: Calculate the weighting coefficients for user terminal service transmission in each non-cellular cell.

[0036] For a cellular network-free cell, the closer it is to the user terminal, the higher its radio resource carrying efficiency. Therefore, under the service cooperation transmission strategy, more services need to be allocated to it. If the radio resource utilization rate of the cellular network-free cell is low, it indicates that the network load is low, so it can provide more radio resources. Based on the above analysis, for the i-th cellular network-free cell, the weighted coefficient of radio resources required for user terminal service cooperation transmission is... It can be calculated using the following formula.

[0037] (9)

[0038] Step 6: Calculate the radio resources required for user terminal service transmission in each non-cellular cell.

[0039] Each non-cellular cell jointly provides resources to serve user terminals in order to complete the transmission of user traffic TRA. The radio resources required by the i-th non-cellular cell are... It can be calculated using the following formula:

[0040] = (10)

[0041] Step 7: Each non-cellular cell collaborates to complete the service transmission of the user terminal.

[0042] The i-th cell in the 6G non-cellular network architecture provides user terminals with... One wireless resource is used for data transmission, among which .

[0043] Step 8: The user terminal waits for the new service to arrive, and then executes Step 1.

[0044] Beneficial effects:

[0045] 1. The method proposed in this invention considers the latency requirements of user terminal services when calculating the wireless resource requirements for transmission. For services with high latency requirements, the system will allocate more wireless resources to reduce network latency. Therefore, the method proposed in this invention allows cellular-free cells to dynamically provide different amounts of wireless resources to meet the latency requirements of different services.

[0046] 2. The method proposed in this invention considers the distance between the user terminal and the base station of the non-cellular network when calculating the service carrying efficiency of unit radio resources in a non-cellular network. The closer the distance, the higher the service carrying efficiency; the farther the distance, the lower the service carrying efficiency. This method is more in line with the actual situation of non-cellular networks, and thus the calculated radio resource requirements can more accurately meet the service carrying needs of user terminals.

[0047] 3. The method proposed in this invention considers the radio resource utilization rate of the non-cellular cells and the distance between the user terminal and the non-cellular cell base station when calculating the weighting factor for radio resource demand during the allocation of user terminal services between different non-cellular cells. The system prioritizes scheduling non-cellular network cells with shorter distances and lower radio resource utilization rates to provide more resources for user terminal services. This improves the radio resource utilization rate of non-cellular cells and avoids allocating too many services that need to be transmitted to non-cellular network cells with high radio resource utilization rates, thereby improving network stability. Attached Figure Description

[0048] Figure 1 This is a flowchart of the method. Detailed Implementation

[0049] Step 1: Measure the distance between the user terminal and each non-cellular cell;

[0050] In a 6G non-cellular network architecture, a user terminal UT is surrounded by N non-cellular cells that can provide services to it. The i-th non-cellular cell is CELL-i. Through measurement and calculation, the distance between the user terminal UT and the i-th non-cellular cell is... ,in .

[0051] In this embodiment, specifically:

[0052] In a 6G non-cellular network architecture, a user terminal UT has six non-cellular network cells around it that can provide cooperative transmission services. The distances of the user terminal UT from these six non-cellular network base stations are as follows:

[0053] Table 1. Distance between Terminal UT and Individual Cells ( m)

[0054] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 150 120 200 186 210 214

[0055] Step 2: Normalize the distance between the user terminal and the non-cellular cell;

[0056] The distances between the user terminal (UT) and each non-cellular cell, after normalization, are: ,Right now:

[0057] (1)

[0058] in, Let be the normalized distance between the user terminal UT and the i-th cell without cellular networks.

[0059] In this embodiment, specifically:

[0060] The distance between the user terminal (UT) and each non-cellular base station is calculated using the formula... The distances were normalized, and the processed distances are shown in the table below:

[0061] Table 2. Distance between the terminal UT and each cell after normalization ( )

[0062] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 0.19 0.24 0.14 0.15 0.14 0.13

[0063] Step 3: Calculate the wireless resource utilization rate of each non-cellular cell;

[0064] Assume the total number of radio resources in the i-th cell without cellular network is At a certain moment The total number of wireless resources occupied (used) is Its remaining available (idle) wireless resources are ,Right now:

[0065] (2)

[0066] Therefore, the i-th non-cellular cell is at time... The wireless resource utilization rate is It can be calculated using the following formula:

[0067] (3)

[0068] In this embodiment, specifically:

[0069] Assuming these 6 cells without cellular networks, at a certain moment, the total number of radio resources, the radio resources in use, and the remaining available (idle) radio resources are shown in the table below:

[0070] Table 3. Wireless Resource Status of Cellular Unrestricted Cells

[0071] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 Number of wireless resources used 98 38 149 51 168 42 Number of remaining available wireless resources 175 62 124 49 105 58 Total number of wireless resources 273 100 273 100 273 100

[0072] Therefore, the wireless resource utilization rate of each non-cellular cell is calculated as follows:

[0073] Table 4. Wireless resource utilization rate of non-cellular cells ( )

[0074] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 36% 38% 55% 51% 62% 42%

[0075] Step 4: Calculate the amount of wireless resources required by the user terminal for service transmission.

[0076] At a certain moment The total traffic volume that the user terminal UT needs to transmit is The service transmission latency requirement is (Different services have different requirements for transmission latency. In mobile communication systems, the three main service scenarios—low latency and high reliability—have the highest latency requirements; massive machine-type communications have relatively lower latency requirements; and enhanced mobile broadband has moderate latency requirements.) Therefore, regarding latency requirements… The required radio resources for the following transmission traffic (TRA) It can be calculated using the following formula:

[0077] (4)

[0078] in: The network signal-to-noise ratio (SNR) is the service (data) carrying efficiency of a 6G non-cellular cell, which refers to the amount of service that can be carried per unit of radio resource (RB) per unit of time. It is related to the quality of the network environment. A higher network SNR indicates better channel quality, and therefore higher service carrying efficiency, meaning a larger amount of service can be carried per RB. Conversely, a lower network SNR indicates worse channel quality, and therefore lower service carrying efficiency, meaning a smaller amount of service can be carried per RB. The network SNR is generally related to the terminal's location within the non-cellular cell's coverage area. When the terminal is near the non-cellular cell base station, the network SNR is good; when the terminal is far from the non-cellular cell base station, the network SNR is poor.

[0079] Based on the above analysis, the service carrying efficiency (the amount of service that a unit of radio resource RB can carry per unit of radio resource RB per unit time) in a cellless network is related to the distance between the terminal and the cellless network base station. The value of can be approximated by the following formula:

[0080] (5)

[0081] in, The amount of traffic that a unit of radio resource (RB) can carry per unit of time when a user terminal is at the edge of a cell without a cellular network. Let be a logarithmic function to base 10; k be a radio resource carrying efficiency adjustment factor; and D be the distance between the user terminal and the base station of the non-cellular cell. When the user terminal is located at the edge of the non-cellular cell, i.e.: hour( This refers to the distance between the edge of the non-cellular cell and the base station of the non-cellular cell, i.e., the cell coverage radius. ,Right now: .

[0082] Based on the above analysis, for the user terminal UT, the distance between the cell edge of the i-th non-cellular cell CELL-i and the non-cellular cell base station is... The distance between the user terminal and the i-th non-cellular base station is For the user terminal, the service carrying efficiency per unit radio resource (RB) of the i-th non-cellular cell is... It can be calculated using the following formula:

[0083] (6)

[0084] in, Let be the wireless resource carrying efficiency adjustment factor for the i-th cell. ; Let RB be the amount of traffic that a unit of radio resource can carry per unit of time when the user terminal is located at the edge of the i-th non-cellular cell.

[0085] For N cells without cellular networks, the average efficiency of RB service carrying per unit of radio resources is: It can be calculated using the following formula.

[0086] (7)

[0087] In this embodiment, specifically:

[0088] Based on the above analysis, for the six non-cellular cells, assume their wireless network coverage radii are as shown in the table below:

[0089] Table 5. Wireless Coverage Radius of Non-Cellular Cells (m)

[0090] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 300.0 250.0 300.0 280.0 300.0 280.0

[0091] The wireless resource carrying efficiency adjustment factor k for 6 non-cellular cells is calculated according to the formula. The calculation results are as follows:

[0092] Table 6. Wireless Resource Bearing Efficiency Adjustment Factor k

[0093] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 2.5 2.4 2.5 2.4 2.5 2.4

[0094] According to the formula Service (data) carrying efficiency in non-cellular networks The calculation results are as follows:

[0095] Table 7. Wireless Resource Carrying Efficiency

[0096] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 1.71 1.73 1.61 1.62 1.60 1.58

[0097] For these six non-cellular cells, the average efficiency of RB service carrying per unit of radio resources is... It can be calculated using the following formula.

[0098]

[0099] When considering that multiple non-cellular cells jointly serve the user terminal, the average of the unit radio resource (RB) service carrying efficiency of multiple non-cellular cells is used to calculate the total traffic volume transmitted by the user terminal (UT). When performing a service, the method for calculating the required number of wireless resources can be adjusted as follows.

[0100] (indivual)

[0101] Step 5: Calculate the weighting coefficients for user terminal service transmission in each non-cellular cell.

[0102] For a cellular network-free cell, the closer it is to the user terminal, the higher its radio resource carrying efficiency. Therefore, under the service cooperation transmission strategy, more services need to be allocated to it. If the radio resource utilization rate of the cellular network-free cell is low, it indicates that the network load is low, so it can provide more radio resources. Based on the above analysis, for the i-th cellular network-free cell, the weighted coefficient of radio resources required for user terminal service cooperation transmission is... It can be calculated using the following formula.

[0103] (9)

[0104] In this embodiment, specifically:

[0105] Based on the above formula, the wireless resource weighting coefficients for each non-cellular cell are calculated, and the results are shown in the table below.

[0106] Table 8. Wireless Resource Weighting Coefficients

[0107] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 0.23 0.27 0.12 0.14 0.10 0.14

[0108] Step 6: Calculate the radio resources required for user terminal service transmission in each non-cellular cell.

[0109] Each non-cellular cell jointly provides resources to serve user terminals in order to complete the transmission of user traffic TRA. The radio resources required by the i-th non-cellular cell are... It can be calculated using the following formula:

[0110] = (10)

[0111] In this embodiment, specifically:

[0112] Based on the above formula, the amount of wireless resources required for these six non-cellular cells is as follows:

[0113] Table 9. Number of wireless resources required for a non-cellular cell

[0114] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 18.6 22.4 9.9 11.4 8.0 11.8

[0115] Considering that the allocation of radio resources (RBs) must be an integer, the number of radio resources required for a non-cellular cell is adjusted as follows:

[0116] Table 10. Number of wireless resources required for a non-cellular cell

[0117] Cellular-free cell 1 Cellular-free cell 2 Cellular-free cell 3 Cellular-free cell 4 Cellular-free cell 5 Cellular-free community 6 19.0 23.0 10.0 12.0 8.0 12.0

[0118] Step 7: Each non-cellular cell collaborates to complete the service transmission of the user terminal.

[0119] The i-th cell in the 6G non-cellular network architecture provides user terminals with... One wireless resource is used for data transmission, among which .

[0120] In this embodiment, specifically:

[0121] In a 6G non-cellular network, each non-cellular cell provides corresponding wireless resources to the user terminal based on the calculated amount of wireless resources required by the non-cellular cell, in order to complete data transmission.

[0122] Step 8: The user terminal waits for the new service to arrive, and then executes Step 1.

[0123] This invention provides a concept and method for collaborative transmission of 6G non-cellular network services. Many methods and approaches exist for implementing this technical solution; the above description is merely a preferred embodiment. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention. All components not explicitly stated in this embodiment can be implemented using existing technologies.

Claims

1. A method for collaborative transmission of 6G non-cellular network services, characterized in that, The steps include the following: Step 1: Measure the distance between the user terminal and each non-cellular cell; Step 2: Normalize the distance between the user terminal and the non-cellular cell; Step 3: Calculate the wireless resource utilization rate of each non-cellular cell; Step 4: Calculate the amount of radio resources required by the user terminal for service transmission; Step 5: Calculate the weighting coefficients for user terminal service transmission in each non-cellular cell based on distance and wireless resource utilization; Step 6: Calculate the radio resources required for user terminal service transmission in each non-cellular cell based on the weighting coefficients and service carrying efficiency; Step 7: Based on the calculated radio resources required for user terminal service transmission by each acellular cell, each acellular cell cooperates to complete the user terminal service transmission.

2. The 6G non-cellular network service cooperative transmission method according to claim 1, characterized in that, The normalized distance mentioned in step 2 is: ， in, Let be the distance between the user terminal UT and the i-th non-cellular cell.

3. The 6G non-cellular network service cooperative transmission method according to claim 2, characterized in that, Step 3 describes the utilization rate of wireless resources in the non-cellular network cell. for: in, Let be the total number of wireless resources in the i-th cell without cellular network. For a certain moment The total number of occupied wireless resources, and the remaining available wireless resources are .

4. The 6G non-cellular network service cooperative transmission method according to claim 3, characterized in that, Number of wireless resources required in step 4 for: in, For the efficiency of 6G non-cellular network service (data) carrying capacity, TRA represents the latency requirement. The amount of transmission traffic.

5. A 6G non-cellular network service cooperative transmission method according to claim 4, characterized in that, Service carrying efficiency of radio resources (RB) in cell units without cellular networks for: in, The amount of traffic that a unit of radio resource (RB) can carry per unit of time when a user terminal is at the edge of a cell without a cellular network. is a logarithmic function to the base 10; k is a wireless resource carrying efficiency adjustment factor; D is the distance between the user terminal and the non-cellular cell.

6. The 6G non-cellular network service cooperative transmission method according to claim 5, characterized in that, When the user terminal is located at the edge of a non-cellular cell, that is: hour, This refers to the distance between the edge of a non-cellular cell and the base station of the non-cellular cell. ,Right now: .

7. A 6G non-cellular network service cooperative transmission method according to claim 6, characterized in that, For N cells without cellular networks, the average efficiency of RB service carrying per unit of radio resources is: for: in, Let be the distance between the user terminal and the i-th non-cellular base station. This is the wireless resource carrying efficiency adjustment factor for the i-th cell.

8. A 6G non-cellular network service cooperative transmission method according to claim 7, characterized in that, The radio resource carrying efficiency adjustment factor of the i-th cell , Let be the distance between the cell edge of the i-th non-cellular cell and the base station of the non-cellular cell; Let RB be the amount of traffic that a unit of radio resource can carry per unit of time when the user terminal is located at the edge of the i-th non-cellular cell.

9. A 6G non-cellular network service cooperative transmission method according to claim 8, characterized in that, The wireless resource weighting coefficient mentioned in step 5 for: 。 10. A 6G non-cellular network service cooperative transmission method according to claim 8, characterized in that, In step 6, the radio resources required by the i-th non-cellular cell for: = 。

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