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50results about How to "Realize resource allocation" patented technology

Distribution method of multi-user parallel transmission resource in wireless heterogeneous network

The invention discloses a distribution method of multi-user parallel transmission resource in wireless heterogeneous network and mainly aims to solving the problem that the existing heterogeneous network source distribution technology cannot distribute the resource to concurrent shunt users; the distribution method comprises the steps that, (1), when a resource allocation cycle is coming, users report the detected channel quality indication information to each wireless access network, and report rate statistical information and resource request to a joint radio resource management module; (2), the wireless access network calculates the amount of the resource in each resource unit capable of being provided to users, and reports the resource amount and the channel quality indication information to the joint radio resource management module; (3), the joint radio resource management module calculates the priority of each user, and then sequentially distribute the resources to the users from high priority to low priority; and (4), the joint radio resource management module sends the resource distribution result to each wireless access network, and then the wireless access networks finish the user resource allocation. The distribution method has the advantages of high network resource use efficiency.
Owner:XIDIAN UNIV

Resource allocation method under H-CRAN based on multi-time scale collaborative optimization

The invention discloses a resource allocation method under H-CRAN based on multi-time scale collaborative optimization. Resource allocation is taken as a two-layer model of large time scale-small timescale, from a large time scale perspective, according to long-term average information of a user moving track and the like, a large time scale resource allocation model based on an expert system is constructed by querying and matching priori knowledge of the expert system; from a small time scale prospective, according to short-term instant information of channel quality and the like, self-learning and self-optimizing characteristics of deep reinforcement learning are utilized to construct a small time scale resource allocation model based on the deep reinforcement learning; from a collaborative optimization prospective, based on a master-slave game view, a collaborative optimization resource allocation model taking the large time scale as the principle factor and the small time scale asthe secondary factor is constructed, and the resource allocation of a heterogeneous cloud wireless access network is achieved.
Owner:NANJING UNIV OF POSTS & TELECOMM

Edge computing resource allocation method and system for ultra-dense network

The invention discloses an edge computing resource allocation method and system for an ultra-dense network, and the method comprises the steps: collecting task requests of all terminal devices and resource states of all edge servers from a global perspective, and carrying out the reasonable allocation of computing resources of all the edge servers through employing an SDN controller as a decisionbody; the system comprises a macro base station, a micro base station and an edge server, and the macro base station is connected with each micro base station through a high-speed optical fiber link,and is in wireless connection with a mobile user. And the macro base station manages the resource condition of the whole network from the overall perspective and collects the information of each mobile user. According to the invention, the effectiveness of edge server computing resources, the resource total quantity of each server and performance difference are fully considered; a bidirectional multi-round auction mechanism is introduced into the multi-server computing resource distribution process in the ultra-dense network, the total income of the servers is maximized on the premise that theuser service quality is guaranteed, and the loads of all the servers are balanced.
Owner:CENT SOUTH UNIV

An unmanned aerial vehicle resource allocation method based on a quantum bird flock evolution mechanism

ActiveCN109190978ARealize resource allocationImprove the shortcomings that can only be used for solving continuous problemsArtificial lifeResourcesGlobal optimalAllocation method
The invention relates to an unmanned aerial vehicle resource allocation method based on a quantum bird flock evolution mechanism, belonging to the unmanned aerial vehicle autonomous control field. Themethod of the invention comprises the following steps: establishing a resource allocation model of an unmanned aerial vehicle; determining the types of UAV tasks, and initializing the quantum bird flocks; calculating the fitness according to the fitness function, and determining the global optimal position of the population; The quantum position is updated and measured through the quantum revolving gate and the quantum non-gate. Calculating fitness according to fitness function; Updating the local best position of each quantum bird and the global best position of the whole colony; judging whether the maximum iteration number is reached or not; if the maximum iteration number is reached, the global best position of the group is output and mapped to the task resource matrix. The invention fully takes into account the different resource requirements of the unmanned aerial vehicle (UAV) when executing different tasks, obtains an optimal UAV resource allocation scheme with a lower resourceallocation ratio at a time cost, simultaneously satisfies the performance requirements of the UAV, and obtains a more reasonable UAV resource allocation scheme.
Owner:HARBIN ENG UNIV

Two-dimensional resource allocation method for networking radar multi-target ISAR imaging

The invention discloses a two-dimensional resource allocation method for networking radar multi-target ISAR imaging, relates to the technical field of phased array radar inverse synthetic aperture radar imaging, and solves the technical problem of how to reasonably allocate time and aperture resources of a radar system for a multi-target imaging task under a radar networking condition so as to improve the overall performance of the radar system. According to the method, on the basis of target feature cognition, requests for radar resolution are determined, time and aperture resources requiredby target imaging are determined by combining a sparse ISAR imaging technology and a radar equation on the basis; and then resource allocation of the networking radar system is realized through a two-dimensional resource scheduling model for multi-target imaging of the distributed networking radar system, and finally, a multi-radar to multi-target inverse synthetic aperture imaging task is realized through alternate observation and acquisition of target echo signals. According to the method, resource allocation is considered from two perspectives of time and aperture, the resource utilizationrate is improved, and the overall performance of the system is improved.
Owner:GUILIN UNIV OF ELECTRONIC TECH

Resource allocation method and device, server and readable storage medium

The invention discloses a resource allocation method and device, a server and a readable storage medium. The method comprises the following steps: determining each service function contained in service traffic to be processed, determining a first service function, and determining a target server for processing the first service function according to the first server for receiving the service traffic; determining the next service function of the first service function as a second service function in the service flow; determining a target server for processing the second service function according to a corresponding relationship between the service function stored in a service linked list of the target server of the first service function and the server; judging whether the second service function is the last service function of the service flow or not; if not, taking the second service function as the first service function; and if yes, determining a service link path according to the target server corresponding to each service function, and enabling the service flow to enter a VNF virtual network element pre-installed by the corresponding server according to the service link path.According to the invention, the time consumption of resource allocation is shortened.
Owner:CHINA MOBILE SUZHOU SOFTWARE TECH CO LTD +1

New boundary calculation method for visible light communication multiple access channel capacity region

The invention provides a new boundary calculation method for a visible light communication multiple access channel capacity region, and provides a new inner boundary and a new outer boundary of the multiple access channel capacity region in a visible light communication network under the constraint of a peak value and average optical power. In particular, the proposed inner bound is established byimplementing an input profile for each user using a single user capacity. The proposed external boundaries are derived by determining a single user capacity for each user and relaxing the input constraints to calculate a sum capacity upper limit. Numerical results show that the proposed new boundary is very tight, and is superior to existing boundaries over the wide area of SNR.
Owner:ZHONGTIAN BROADBAND TECH +1

Cloud room sharing system and business method based on intelligent identification

The invention relates to a cloud room sharing system and a commercial method based on intelligent identity identification, belonging to the field of information technology, including public and private cloud services. The system and method adopt big data processing technology, cloud computing technology, ID card or automatic intelligent unlocking module as the core link, and are based on the development of mobile phone APP, WeChat applet, WeChat public number, PC terminal booking system client, integrated communication technology applied to the operation and management process of hotels or lodging places. The invention has the advantages that the cloud server follows a one-to-many deployment mode, the application development cost of the hotel desktop end is reduced by adopting a hybrid cloud, and the cloud computing technology can realize effective resource allocation, thereby greatly reducing the burden of the hotel server.
Owner:HUNAN UNIV

Opportunistic network resource dynamic allocation method based on service priorities

The embodiment of the invention provides an opportunistic network resource dynamic allocation method based on service priority, which is applied to a current node carrying a service message in an opportunistic network, and the service message comprises a target delay for sending the service message, a message size of the service message and an identifier of a destination node. The method comprisessteps of obtaining the total number of nodes in the opportunity network, the average congestion degree of the social group of the current node, the cache space size of the current node and the initial priority of the service message; calculating the number of copies of the service message based on the target delay, the message size, the total number of the nodes, the average congestion degree ofthe social group, the cache space size of the current node and the initial priority of the service message; and acquiring a plurality of service message copies of the service message, and sending theacquired service message copies to a destination node with the identifier. The method can improve the service quality of the service to which the service message belongs.
Owner:BEIJING UNIV OF POSTS & TELECOMM +3

A UAV resource allocation method based on quantum bird flock evolution mechanism

ActiveCN109190978BRealize resource allocationImprove the shortcomings that can only be used for solving continuous problemsArtificial lifeResourcesResource assignmentFlock
The invention discloses a resource allocation method for unmanned aerial vehicles based on the quantum bird swarm evolution mechanism, which belongs to the field of autonomous control of unmanned aerial vehicles. The steps of the method of the present invention are as follows: establish a UAV resource allocation model; determine the type of mission performed by the UAV, and initialize the quantum bird group; perform fitness calculation according to the fitness function, and determine the global best position of the group; through quantum rotation The gate and the quantum NOT gate update and measure the quantum position; calculate the fitness according to the fitness function; update the local best position of each quantum bird and the global best position of the whole group; judge whether the maximum number of iterations is reached, and output if reached The global optimal position of the swarm is mapped to a task resource matrix. The present invention fully takes into account that UAVs have different needs for resources when they perform different tasks, obtains the UAV resource allocation scheme with the optimal resource configuration ratio at less time cost, and at the same time satisfies the performance requirements of UAVs, and obtains a more reasonable solution. UAV resource allocation scheme.
Owner:HARBIN ENG UNIV
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