CN-121985354-A - Communication network resource allocation method, system and medium for unmanned aerial vehicle formation

CN121985354ACN 121985354 ACN121985354 ACN 121985354ACN-121985354-A

Abstract

The invention relates to the technical field of wireless communication, in particular to a communication network resource allocation method, a communication network resource allocation system and a communication network resource allocation medium for unmanned aerial vehicle formation, which solve the technical problems that in the prior art, information is lagged in a high-speed moving scene due to the fact that information of a channel state is periodically fed back by an unmanned aerial vehicle, and limited network resource allocation is misaligned and instantaneity is poor due to a wireless channel sharing conflict domain. The method comprises the steps of obtaining state information and preset state information of a plurality of unmanned aerial vehicles in unmanned aerial vehicle formation, determining flight deviation information of each unmanned aerial vehicle in the plurality of unmanned aerial vehicles according to the state information and the preset state information, determining communication demand urgency of each unmanned aerial vehicle according to the flight deviation information of the plurality of unmanned aerial vehicles, dividing the plurality of unmanned aerial vehicles into a plurality of communication groups according to the communication demand urgency of the plurality of unmanned aerial vehicles, and distributing corresponding communication network resources for different communication groups according to division results of the plurality of communication groups.

Inventors

CAO YING
WANG ZHEN

Assignees

西北工业大学

Dates

Publication Date: 20260505
Application Date: 20260331

Claims (10)

1. A method for allocating communication network resources for unmanned aerial vehicle formation, comprising: Acquiring state information and preset state information of a plurality of unmanned aerial vehicles in unmanned aerial vehicle formation; according to the state information and preset state information, determining flight deviation information of each unmanned aerial vehicle in the plurality of unmanned aerial vehicles; determining the communication demand urgency of each unmanned aerial vehicle according to flight deviation information of a plurality of unmanned aerial vehicles, wherein the communication demand urgency is used for representing the demand priority of the corresponding unmanned aerial vehicle on communication network resources; dividing the unmanned aerial vehicles into a plurality of communication groups according to the communication demand urgency of the unmanned aerial vehicles; And allocating corresponding communication network resources for different communication packets according to the division result of the plurality of communication packets.
2. The unmanned aerial vehicle formation communication network resource allocation method according to claim 1, wherein determining the flight deviation information of each unmanned aerial vehicle of the plurality of unmanned aerial vehicles according to the state information and the preset state information comprises: aiming at each unmanned aerial vehicle, aligning the actual state in the state information with the expected state in the preset state information; determining a flight deviation between the actual state and the desired state at a plurality of aligned points in time; And forming a flight deviation sequence of the unmanned aerial vehicle according to the flight deviations at a plurality of alignment time points as the flight deviation information.
3. The unmanned aerial vehicle formation communication network resource allocation method according to claim 2, wherein determining the communication demand urgency of each unmanned aerial vehicle according to the flight deviation information of the plurality of unmanned aerial vehicles comprises: According to the flight deviation sequences of the unmanned aerial vehicles, analyzing the relative degree of the flight deviation of each unmanned aerial vehicle in the formation overall deviation to obtain the individual deviation weight of each unmanned aerial vehicle; determining the offset contribution degree of each unmanned aerial vehicle according to the flight deviation sequences and the individual offset weights of the unmanned aerial vehicles; And determining the communication demand urgency of each unmanned aerial vehicle according to the offset contribution degree, the flight deviation at the current moment and the matching information of the unmanned aerial vehicle and the network edge node.
4. A method of communication network resource allocation for unmanned aerial vehicle formation according to claim 3, wherein deriving an individual offset weight for each unmanned aerial vehicle comprises: For each unmanned aerial vehicle, analyzing flight deviation variation parameters representing fluctuation degrees of flight states of the unmanned aerial vehicles according to flight deviation sequences; And determining the individual offset weight of each unmanned aerial vehicle according to the flight deviation change parameters of the unmanned aerial vehicles.
5. A method of communication network resource allocation for unmanned aerial vehicle formation according to claim 3, wherein determining the offset contribution of each unmanned aerial vehicle comprises: Performing first clustering on a plurality of unmanned aerial vehicles according to the individual offset weights to form a plurality of initial groups; Determining an intra-group offset feature in the initial group for each unmanned aerial vehicle, wherein the intra-group offset feature is used for representing the relative deviation degree of the unmanned aerial vehicle in the initial group; And determining the offset contribution degree of each unmanned aerial vehicle according to the individual offset weight of the unmanned aerial vehicle and the historical change condition of the offset characteristics in the group.
6. A communication network resource allocation method for unmanned aerial vehicle formation according to claim 3, wherein determining the urgency of the communication demand of each unmanned aerial vehicle according to the offset contribution, the flight deviation at the current moment, and the matching information of the unmanned aerial vehicle and the network edge node comprises: Acquiring matching information of the unmanned aerial vehicle and a network edge node; Determining a communication demand index of the unmanned aerial vehicle according to the offset contribution degree, the flight deviation at the current moment and the matching information; And normalizing the communication demand indexes of the unmanned aerial vehicles to obtain the urgency of the communication demand.
7. A communication network resource allocation method for unmanned aerial vehicle formation according to claim 3, wherein dividing the plurality of unmanned aerial vehicles into a plurality of communication packets according to the urgency of the communication demand of the plurality of unmanned aerial vehicles comprises: And clustering a plurality of unmanned aerial vehicles by using the communication demand urgency or the intermediate parameter of the communication demand urgency as a clustering characteristic and adopting a preset clustering algorithm to form a plurality of communication groups.
8. The unmanned aerial vehicle formation communication network resource allocation method according to claim 7, wherein allocating the corresponding communication network resource for the different communication packets according to the division result of the plurality of communication packets comprises: Counting the average communication demand urgency in each communication group; And allocating communication network resources with different priorities or different bandwidths to corresponding communication packets according to the order of the average communication demand urgency in the group.
9. The communication network resource distribution system for unmanned aerial vehicle formation is characterized by comprising a data acquisition module, a deviation analysis module, a demand evaluation module, a dynamic grouping module and a resource distribution module; the data acquisition module is used for acquiring state information and preset state information of a plurality of unmanned aerial vehicles in unmanned aerial vehicle formation; The deviation analysis module is used for determining flight deviation information of each unmanned aerial vehicle in the plurality of unmanned aerial vehicles according to the state information and preset state information; The demand assessment module is used for determining the communication demand urgency of each unmanned aerial vehicle according to the flight deviation information of the plurality of unmanned aerial vehicles, wherein the communication demand urgency is used for representing the demand priority of the corresponding unmanned aerial vehicle on the communication network resource; The dynamic grouping module is used for dividing the unmanned aerial vehicles into a plurality of communication groups according to the communication demand urgency of the unmanned aerial vehicles; the resource allocation module is configured to allocate corresponding communication network resources for different communication packets according to a division result of the plurality of communication packets.
10. A computer storage medium having instructions stored therein which, when executed by a computer, enable the steps of the communication network resource allocation method of unmanned aerial vehicle formation of any of claims 1-8.

Description

Communication network resource allocation method, system and medium for unmanned aerial vehicle formation Technical Field The invention relates to the technical field of wireless communication, in particular to a communication network resource allocation method, a system and a medium for unmanned aerial vehicle formation. Background With the rapid development of unmanned aerial vehicle technology, the execution task of multi-unmanned aerial vehicle cooperative formation has become mainstream application mode, through information sharing and cooperative decision-making, unmanned aerial vehicle formation has greatly extended single machine ability boundary, and the inside reliable, efficient communication transmission of formation is as the core support of cooperative work, and its importance is increasingly prominent. The unmanned aerial vehicle formation needs to carry out flexible formation transformation and path planning according to actual task demands, and the situation that members dynamically join or exit is possibly faced, and complex and changeable operation scenes provide higher requirements on the adaptability and flexibility of communication network resource allocation, so that the resource allocation scheme is required to respond to the change of the environment and the formation state in time. The traditional distributed communication resource allocation method relies on real-time channel state information periodically fed back by unmanned aerial vehicles, global resource coordination optimization and differentiated service quality guarantee are difficult to achieve in a formation rapid-change scene, meanwhile, the method is influenced by single conflict domain characteristics of wireless channels, collision or conflict easily occurs when a plurality of unmanned aerial vehicles share limited network resources, and the problem of misalignment of resource allocation is further aggravated. Disclosure of Invention In order to solve the technical problems of information lag in a high-speed moving scene caused by the periodic feedback of channel state information of an unmanned aerial vehicle and limited network resource allocation misalignment and poor real-time caused by a wireless channel sharing conflict domain in the prior art, the invention aims to provide a communication network resource allocation method, a system and a medium for unmanned aerial vehicle formation, and the adopted technical scheme is as follows: the communication network resource allocation method for the unmanned aerial vehicle formation comprises the steps of obtaining state information and preset state information of a plurality of unmanned aerial vehicles in the unmanned aerial vehicle formation, determining flight deviation information of each unmanned aerial vehicle in the unmanned aerial vehicles according to the state information and the preset state information, determining communication demand urgency of each unmanned aerial vehicle according to the flight deviation information of the unmanned aerial vehicles, wherein the communication demand urgency is used for representing demand priority of the corresponding unmanned aerial vehicle on communication network resources, dividing the unmanned aerial vehicles into a plurality of communication groups according to the communication demand urgency of the unmanned aerial vehicles, and allocating corresponding communication network resources for different communication groups according to division results of the communication groups. Based on the technical scheme, in the communication network resource allocation method for unmanned aerial vehicle formation, the flight deviation information of each unmanned aerial vehicle is accurately determined by acquiring the state information and the preset state information of each unmanned aerial vehicle in unmanned aerial vehicle formation, so that the communication demand urgency of the communication resource demand priority of the unmanned aerial vehicle is quantitatively represented, the unmanned aerial vehicles are subjected to communication grouping according to the urgency, and corresponding communication network resources are allocated, so that the dynamic change of the flight state of unmanned aerial vehicle formation can be self-adapted, the conflict problem when a plurality of unmanned aerial vehicles share limited resources is avoided, the balance and accurate allocation of the communication network resources are realized, and the reliability and the high efficiency of communication transmission in the unmanned aerial vehicle formation collaborative operation process are ensured. With reference to the first aspect, in one possible implementation manner, the method for determining flight deviation information of each unmanned aerial vehicle in the plurality of unmanned aerial vehicles according to the state information and the preset state information specifically includes aligning an actual state in the state information