Cellular-network-free UE tracking method based on Beam breathing fluctuation and cooperative migration

Abstract

The invention provides a cellular-free network UE tracking method based on Beam breathing fluctuation and cooperative migration, comprising: constructing a cellular-free network dominated by beam coverage, the network comprising a plurality of UEs and a plurality of cells continuously monitoring UE distribution changes; when the network triggers a beam coverage adjustment demand, a certain cell preliminarily judges to trigger a beam coverage adjustment opportunity and a coverage adjustment range, and other associated cells join in negotiation to obtain final beam adjustment parameters; in the network, UE judges whether to trigger beam migration based on a beam measurement result and judges a migration target beam, and the UE carries out beam migration from a current service cell to a target cell. On the basis of 6G requirements of no cellular, super cellular and the like, a breathing cellular mode is provided, the network takes beam coverage as a main means, meanwhile, the network coverage concept that the Cell is used as a unit is weakened, and through seamless migration of the beam, the handover process of the Cell is reduced, and the functions of breathing fluctuation cooperation, UE movement tracking (handover-free) and beam migration among different cells are achieved.

Description

Technical Field

[0001] The present invention belongs to the field of communication technologies, and particularly relates to a method for tracking a user equipment (UE) in a cell-free network based on beam breathing fluctuations and cooperative migration. Background Art

[0002] In a traditional cellular network, when a user moves from the cell center to the cell edge, the data rate will significantly decrease, which brings an unsmooth experience to the user and reduces the reliability of service quality.

[0003] Due to the limitations of the cellular network, the signal strengths and qualities received by users at different locations are different, resulting in uneven service quality and affecting the user experience.

[0004] The traditional cellular network has a cell-edge effect, resulting in a lower signal-to-interference-plus-noise ratio (SINR) for user equipment at the cell edge than that at the cell center, and being more vulnerable to interference from adjacent base stations, further reducing the SINR of these devices. In the cellular network, when a user moves from the cell center to the cell edge, the data rate will significantly decrease, which brings an unsmooth experience to the user and reduces the reliability of service quality.

[0005] Role of the cell-free / hyper-cellular network in meeting 6G scenario requirements: - Breaking the limitations of the traditional cellular architecture: The traditional cellular network has problems such as cell-edge effects and signal blind spots, which limit the further improvement of network performance. The cell-free network breaks the concept of cells through a distributed cooperation method, can provide seamless coverage for user equipment, reduce signal blind spots, and enhance the user experience.

[0006] - Improving system performance: The cell-free massive multiple-input multiple-output (MIMO) technology can effectively improve the spectral efficiency of the system by using uplink distributed reception and downlink coherent joint transmission technologies. In addition, the cell-free network also has the advantage of high energy efficiency, meeting the sustainable development requirements of future mobile communication systems.

[0007] - Supporting diverse scenario requirements: The cell-free network can better adapt to the diverse scenario requirements of 6G. For example, in immersive communication scenarios, the cell-free network can provide more stable connections and lower latency; in ultra-large-scale connection scenarios, the cell-free network can support more device accesses; in ultra-reliable low-latency communication scenarios, the cell-free network can provide higher reliability and lower latency through multi-node cooperation and distributed transmission.

[0008] - Achieve intelligent resource allocation and user association: The cell-free network combined with artificial intelligence can achieve intelligent spatio-temporal-frequency resource allocation, user-node association, etc., further improving network performance and meeting the requirements for network intelligence in 6G scenarios.

[0009] - Improve sensing accuracy: The cell-free network is based on multi-node cooperation and can effectively improve the algorithm accuracy through cooperative positioning and cooperative sensing, meeting the requirements for high-precision positioning and environmental sensing in future mobile communication systems.

[0010] - Support the realization of ubiquitous connection: The cell-free network uses distributed antennas and multi-point cooperation technologies to achieve "dead-angle-free" uniform coverage of network signals at all angles, providing technical support for the realization of ubiquitous connection in 6G. Summary of the Invention

[0011] The present invention provides a cell-free network UE tracking method based on beam breathing fluctuation and cooperative migration to solve the problems existing in the above-mentioned prior art, and is characterized in that: Construct a breathing cellular network dominated by beam coverage, where the network includes several UEs and several cells that continuously monitor the change of UE distribution; When the network triggers the beam coverage adjustment requirement, a certain cell initially determines the beam coverage adjustment timing and coverage adjustment range, and the adjacent cells of the cell join the negotiation to obtain the final beam adjustment parameters; Based on the beam measurement results of the UEs in the network, the serving cell of the UE determines whether to trigger beam migration. When beam migration is triggered, the serving cell selects the target beam to be migrated and performs beam migration of the UE from the current serving cell to the cell where the target beam is located.

[0012] Further, when the network triggers the beam coverage adjustment requirement, the specific steps for a certain cell to initially determine the beam coverage adjustment timing and coverage adjustment range, and the adjacent cells of the cell join the negotiation to obtain the final beam adjustment parameters are as follows: A certain cell and several of its neighboring cells monitor the change of the distribution of several UEs they serve; When the beam coverage adjustment requirement is triggered, the certain cell initially determines the beam coverage adjustment timing and coverage adjustment range; The cell negotiates the coverage adjustment rules with its preferred adjacent cells; The alternative adjacent cells of the cell join to negotiate the coverage adjustment rules between adjacent cells; A certain cell and its neighboring cells determine adjustment parameters for a number of beam objects to be adjusted based on the negotiation result, and perform beam fluctuation coverage adjustment based on the adjustment timing.

[0013] Further, the triggering of the beam coverage adjustment requirement is specifically as follows: When a serving cell of a UE detects that the serving beam signals of a number of UEs are about to be or have fallen below the intensity / quality threshold for QoS guarantee, and the beam measurement results of neighboring cells have not met the beam migration threshold between cells, this cell initially determines the beam coverage adjustment timing and coverage adjustment range.

[0014] Further, the method for differentiating between preferred neighboring cells and alternative neighboring cells is as follows: Among neighboring cells with coverage orientation and traffic orientation, neighboring cells with traffic priority are preferentially selected, and neighboring cells with coverage orientation are used as alternative neighboring cells; if there is no clear orientation for neighboring cells, the serving cell randomly selects one or more neighboring cells for coverage adjustment negotiation; At the same time, the service types and QoS requirements of some or all UEs under the current beam coverage can also be considered, and based on the differences in the service support capabilities of neighboring cells, preferred neighboring cells are matched.

[0015] Further, the coverage adjustment rules between neighboring cells include adjustment timing suggestions, target beam objects and associated objects in their neighboring cells, and beam coverage range suggestions.

[0016] The negotiation results of beam coverage adjustment between neighboring cells include serving cell adjustment, neighboring cell adjustment, and no adjustment; The method of beam coverage adjustment between neighboring cells is: according to the target area range that the beam needs to cover, the serving cell queries the network coverage knowledge base and selects or calculates the beamforming weight parameter / matrix or beam transmission power scaling factor.

[0017] Further, the UE in the network determines whether to trigger beam migration based on the SSB beam measurement result and determines the migration object. The specific steps for the UE to perform beam migration from the current serving cell to the target cell include: Update and exchange SSB beam configuration information and its beam serviceability information between cells; The UE measures its serving cell and the received beam object and reports it to the serving cell of the UE. The serving cell determines whether the beam measurement result reaches the handover trigger condition; When the handover trigger condition is reached, perform the serviceability judgment of the target beam based on the beam serviceability information between neighboring cells for the current serving cell; When a handover is required by the decision, the current serving cell sends a beam migration notice to the UE and neighboring cells to perform beam migration.

[0018] Furthermore, the beam serviceability information between neighboring cells includes: whether beam adjustment will occur, and the QoS sensitivity of UE services under the beam.

[0019] Furthermore, when the current serving cell sends a beam migration notice to the UE and neighboring cells, it includes the target beam index, UE identity priority information and its critical service information, and the load level of the current serving cell. The critical service information includes: latency QoS sensitivity, reliability QoS sensitivity, deterministic QoS sensitivity, or a combined QoS of the above dimensions.

[0020] Furthermore, in the trigger conditions for beam fluctuation or handover, critical services and non-critical services are distinguished. For UEs with critical service types, the priority of handover process handling and network resource guarantee is increased. Beneficial effects: Based on the 6G requirements such as cell-free and supercell, the present invention proposes a breathing cell mode. The network mainly uses beam coverage as a means, while weakening the network coverage concept with Cell as a unit. Through seamless migration of beams, the handover process of Cells is reduced, and a cell-free network form centered on the UE is formed. The present invention realizes power adaptive adjustment, breathing fluctuation cooperation between different cells, UE movement tracking (handover-free), and beam migration.

[0021] In the trigger conditions for beam migration or fluctuation in the cell-free network provided by the present invention, critical services and non-critical services are distinguished. For UEs with critical service types, the priority of handover process handling and resource guarantee needs to be increased. The idea of high-priority guarantee for high-priority services is applicable to all handover scenarios including beam migration, fluctuation, and Cell handover. Description of the Drawings

[0022] Figure 1 It is the beam coverage mechanism and schematic diagram in existing 5G; Figure 2 It is the inter-cell cooperation process covering breathing fluctuation; Figure 3 It is the beam migration UE tracking process based on inter-cell beam migration; Figure 4 It is the cell-free tracking coverage of UAV drones and the beam migration process of neighboring cells. Detailed Embodiments

[0023] The present invention will be further described below with reference to the drawings.

[0024] Embodiment 1: Different from Figure 1 the existing technology, this embodiment discloses a method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration, specifically as follows: Construct a cell-free network dominated by beam coverage, which includes several UEs and several cells that continuously monitor the changes in UE distribution; When the network triggers a beam coverage adjustment requirement, a certain cell initially determines the trigger timing and coverage adjustment range of the beam coverage adjustment, and the remaining associated cells join the negotiation to obtain the final beam adjustment parameters; In the network, the UE determines whether to trigger beam migration based on the beam measurement results and determines the migration object, and the UE migrates the beam from the current serving cell to the target cell.

[0025] As Figure 2 、 3 shown, the present invention includes an inter-cell cooperation process covering breathing fluctuations and a beam migration UE tracking process based on inter-cell beam migration. Based on the above method, this embodiment gives the UAV cell-free tracking coverage and neighboring cell beam migration process as Figure 4 shown.

[0026] The current serving cell of the UAV is Cell A, and it is itself in high-speed movement. From the perspective of Cell A, the beam coverage of the UAV gradually deteriorates, but the conditions between it and the neighboring cell Cell B still do not reach the migration standard, that is, the serving beam signal of the UAV is about to be or has already fallen below the intensity / quality threshold guaranteed by QoS, and the beam measurement result of Cell B has not yet met the inter-cell beam migration threshold. At this time, Cell A performs beam coverage adjustment negotiation and selects the neighboring cell Cell B as the negotiation object. The two cells negotiate the coverage adjustment rules and discuss parameters such as the adjustment timing, target beam object, and beam coverage range suggestions. Subsequently, Cell A or Cell B or both cells simultaneously perform beam tidal coverage adjustment on the beam object to be adjusted based on the parameters such as the power of the beam object and the beam forming matrix obtained through negotiation at the negotiated timing.

[0027] During this period, the neighboring cells continuously (periodically or triggered by updates) exchange SSB configuration information and beam serviceability information between neighboring cells. In this embodiment, the SSB configuration information is the same as the existing 5G related technology; the beam serviceability information includes whether beam adjustment will occur, the QoS sensitivity of the critical services of the UEs under the beam, and the number of UEs / services.

[0028] Meanwhile, the UAV continuously measures the beam objects of the serving cell and neighboring cells of the server and feeds back to its current serving cell Cell A. When the measurement result of the beam reaches the handover trigger condition of the beam object of the neighboring cell, Cell performs the cooperative migration operation of the beam. First, it judges the serviceability of the target beam. The reference conditions include whether beam adjustment occurs within the time window and whether the UE service QoS sensitivity under the beam meets the migration requirements. If it is judged that the beam migration cannot be performed, it waits for the next migration opportunity. After the successful judgment, Cell A sends a beam handover notification to Cell B, including the target beam index, UE identity priority information, its critical service information, and the load level of the current serving cell. The critical service information here includes: latency QoS sensitivity, reliability QoS sensitivity, deterministic QoS sensitivity, or a combined QoS of the above dimensions. It should be noted that in the case of a high load level of the serving cell, the target neighboring cell needs to handle the UE with high priority to reduce the call drop rate and release the load of the original serving cell in a timely manner. Cell A also sends a handover indication containing the beam index information to the UAV. After the successful transmission of the three-party information, Cell A releases the UE information related to the UAV, Cell B updates the served UE information, and the UAV updates the serving cell information. Thus, the seamless network UE tracking process based on beam breathing fluctuations and cooperative migration between cells is completed.

[0029] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0030] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration, characterized in that: Construct a breathing cellular network dominated by beam coverage, where the network includes several UEs and several cells that continuously monitor changes in UE distribution; When the network triggers the need for beam coverage adjustment, a certain cell initially determines the timing and scope of the beam coverage adjustment. The adjacent cells of the cell join the negotiation to obtain the final beam adjustment parameters; Based on the beam measurement results of the UEs in the network, the serving cell of the UE determines whether to trigger beam migration. When beam migration is triggered, the serving cell selects the target beam to which it will migrate, and performs cooperative beam migration of the UE from the current serving cell to the cell where the target beam is located.

2. The method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration according to claim 1, characterized in that: When the network triggers the need for beam coverage adjustment, the specific steps for a certain cell to initially determine the timing and scope of the beam coverage adjustment and for the adjacent cells of the cell to join the negotiation to obtain the final beam adjustment parameters are as follows: A certain cell and several of its neighboring cells monitor the changes in the distribution of several UEs they serve; When the need for beam coverage adjustment is triggered, the certain cell initially determines the timing and scope of the beam coverage adjustment; The cell negotiates the coverage adjustment rules between adjacent cells with its preferred neighboring cells; The alternative neighboring cells of the cell join to negotiate the coverage adjustment rules between adjacent cells; The certain cell and its neighboring cells determine the adjustment parameters of the beam objects to be adjusted based on the negotiation results, and perform beam fluctuation coverage adjustment based on the adjustment timing.

3. The method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration according to claim 2, wherein, The triggering of the need for beam coverage adjustment specifically is: When a serving cell of a UE detects that the service beam signals of several UEs are about to be or have fallen below the intensity / quality threshold for QoS guarantee, and the beam measurement results of the adjacent cells do not yet meet the beam migration threshold between cells, the cell initially determines the timing and scope of the beam coverage adjustment.

4. The method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration according to claim 2, wherein The method for differentiating between the preferred neighboring cells and the alternative neighboring cells is: Among the adjacent cells with coverage orientation and traffic orientation, the traffic-oriented neighboring cells are preferentially selected, and the coverage-oriented neighboring cells are used as alternative neighboring cells; if there is no clear orientation for the neighboring cells, the serving cell arbitrarily selects one or more neighboring cells to conduct coverage adjustment negotiation.

5. The method for tracking UEs in a cell-free network based on Beam breathing fluctuations and cooperative migration according to claim 3, characterized in that: The coverage adjustment rules between adjacent cells include adjustment timing suggestions, target beam objects and associated objects in their neighboring cells, and beam coverage scope suggestions; The negotiation results of beam coverage adjustment between neighboring cells include serving cell adjustment, neighboring cell adjustment, and no adjustment. The method for beam coverage adjustment between neighboring cells is as follows: according to the target area range that the beam needs to cover, the serving cell queries the network coverage knowledge base to select or calculate the beamforming weight parameter / matrix or the beam transmission power scaling factor.

6. The method for tracking a UE in a cell-free network based on beam breathing fluctuation and cooperative migration according to claim 1, wherein: Based on the beam measurement results of the UE in the network, the serving cell of the UE determines whether to trigger beam migration. When beam migration is triggered, the serving cell selects the target beam to be migrated, and the specific steps for the cooperative beam migration of the UE from the current serving cell to the cell where the target beam is located include: Update and exchange the SSB beam configuration information and its beam serviceability information between cells; The UE measures its serving cell and the received beam object and reports them to the serving cell of the UE. The serving cell determines whether the beam measurement result reaches the handover trigger condition; When the handover trigger condition is reached, perform the serviceability judgment of the target beam by the current serving cell based on the beam serviceability information between neighboring cells; When the judgment is that handover is required, send a handover indication to the UE by the current serving cell, send a beam migration notification to the neighboring cell, and perform beam migration.

7. The method for tracking a UE in a cell-free network based on beam breathing fluctuation and cooperative migration according to claim 6, wherein: The beam serviceability information between neighboring cells includes: whether beam adjustment will occur, the QoS sensitivity of the UE's critical services under the beam, and the number of UEs / services.

8. The method for tracking a UE in a cell-free network based on beam breathing fluctuation and cooperative migration according to claim 7, wherein: The beam migration notification sent by the current serving cell to the neighboring cell includes the target beam index, the UE identity priority information and its critical service information, and the load level of the current serving cell. The critical service information includes: delay QoS sensitivity, reliability QoS sensitivity, deterministic QoS sensitivity, or a combined QoS of the above dimensions.

9. The method for tracking a UE in a cell-free network based on beam breathing fluctuation and cooperative migration according to any one of claims 1-8, wherein: In the trigger conditions for beam fluctuation or handover, distinguish between critical services and non-critical services, and for UEs with critical service types, improve the priority of handover process handling and network resource guarantee.

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