160results about How to "Guaranteed QoS requirements" patented technology

The disclosed wireless resource scheduling method for grouping business based on QoS comprises: determining business PRI for resource scheduling; to different type user, allocating resource for user with average data rate less GBR; calculating PRI for every user according to current rate, average rate and overtime threshold or based on buffer ratio, and allocating resource as user PRI. This invention allocates resource more flexibly, and can adapt resource management in future.

The invention is used for avoiding the waste of bandwidth and satisfying the requirement of packet loss rate when using RTP redundancy mechanism. In the invention, when making a calling, the redundancy degree can be dynamically adjusted according to the transmission environment of network.

The invention discloses a resource allocation method, which comprises the following steps: determining the scheduling priority of each user according to the closeness degree of a packet loss rate and a packet loss threshold of the current real-time service of the user, the closeness degree of a maximal wait packet delay and a maximal tolerance packet delay of the current real-time service of the user and the maximal channel capacity on assignable sub-carriers on a current system of the user; allocating sub-carriers for the user with the highest scheduling priority so that the user with the highest scheduling priority has maximal channel capacity on the sub-carrier; determining the scheduling priorities of other uses on the sub-carriers, and selecting other service users according to sequence of the scheduling priorities from high to low; calculating the channel gain of each space sub-channel selected by each user; and allocating power to each space sub-channel. The invention also discloses a resource allocation device. The method and the device can effectively ensure the Qos requirement for real-time service users in an actual real-time service environment and can improve the throughput of the system.

The invention discloses a resource allocation method transmitted by real-time business and uplink/downlink real-time business transmission method; in the uplink real-time business transmission method, a base station allocates semi-static business channel resource for the terminal; the terminal uses the semi-static business channel resource to execute the initial transmission of mixed automatic retransmission request of the business package; the base station receives the semi-static business channel resource and judges whether the initially transmitted real-time business package is right, if not, allocates dynamic business channel resource for the terminal; the terminal uses the dynamic business channel resource to retransmit the real-time business package; the base station receives the dynamic business channel resource to judge whether the retransmitted real-time business package is right, if not, allocates the dynamic business channel resource for the terminal under the condition that the retransmission times do not achieve the preset threshold value.

The invention discloses a downlink chain resource allocation method for a heterogeneous network in the communication resource management technology field under a hybrid network of a macro cell and a femto cell. The method comprises the steps of: building a user set and a usable resource block set; calculating and forming a user priority list; calculating the quantity of the resource blocks required by a user; selecting the user with the highest priority from the user priority list, and selecting the resource block with the best channel quality from the usable resource set so as to be allocated to the user with the highest priority, wherein the resource blocks directly allocated to the user with the highest priority have the same quantity as the resource blocks required by the user with the highest priority or the usable resource block set is empty; and calculating and updating the transmission power of the base station of the macro cell/ the femto cell on the usable resource blocks while being communicated with the user. By using the method, the interference among the cells is reduced, and the QoS (Quality Of Service) requirement of each user on each business is ensured, and the maximized system throughput as well as the fair among the users and the businesses are achieved.

The invention discloses a management method for multiple services and multiple connections of mobile communication, which comprises the following steps of: triggering the management of the multiple connections; determining a candidate network set; allocating a network for each one of the services; and transferring each one of the services to corresponding networks. The invention also discloses a management system for the multiple services and the multiple connections of the mobile communication. The management method and the management system solve the matching problems between the transmission requirement of the multiple services and the transmission capability of the multiple connections, and make full use of the network resources of the multiple connections. A most suitable network connecting resource is selected for each one of the services through the sequencing of candidate networks and the matching calculation of the services and the connections so as to ensure the QoS requirements of the multiple services of a terminal and the reasonable use of the network resources of the multiple connections.

The invention relates to a service flow access control and bandwidth allocation method based on an orthogonal frequency division multiplexing (OFDM) system, which mainly solves the problems of service flow access control and system bandwidth resource allocation in the OFDM system. The method of the invention essentially comprises the following steps: (1) carrying out access control according to the management information of dynamic service flow and generating a bandwidth-reserved distribution list; (2) distributing the bandwidth-reserved according to the bandwidth-reserved distribution list; and (3) distributing the rest bandwidth according to a weight factor configuration table. The method provided by the invention not only effectively improves the use efficiency of the system resources, but also ensures fairness among a plurality of service types and prevents 'starvation' phenomenon caused by that the bandwidth cannot be obtained due to the comparatively low priority of users.

A method for exchanging satellite-carried route of sky based network includes judging whether source user and destination user of data are in the same wave beam or not and carrying out data link layer exchange on data if it is or otherwise judging whether multi-protocol countermark is carried by data or not according to data packet formed frame sequence number data in connection head, carrying out multi-protocol countermark exchange on data if it is or otherwise carrying out IP route exchange on data.

The invention discloses a method for optimizing resources of a static-dynamic mixed service in a three-layer network, which mainly solves the problem of transmission of the static-dynamic mixed service resource in the three-layer network, and comprises the following steps of: 1) inputting three-layer network topology information and a static service matrix; 2) taking a priority routing algorithm of request bandwidth total maximum as static service routing; 3) taking an ant colony optimization-based integrated routing algorithm as dynamic service routing; 4) determining whether to call an interlayer or intralayer resource optimization method or not according to grade parameters of the dynamic service and the joint routing result; 5) performing network periodic triggering on the global resource scheduling and optimizing method based on the adaptive period of the load intensity; and 6) carrying out the algorithm running result. In the invention, by introducing transport network layering,the ant colony optimization-based dynamic service joint routing algorithm, an interlayer resource coordination mechanism and a tabu search-based static service re-grooming method, global network resource optimal utilization is improved, the false rejection rate of a user connection request is reduced, and the requirement of end-to-end quality of service (QoS) is met.

The invention discloses a data uploading and receiving method, which is used for solving the problem that resources are wasted or business flow QoS can not be met caused by disagreement of maximum retransmission times of intellective data blocks of a base station and a terminal. A data uploading method comprises the following steps: the terminal determines a data block which is transmitted for the current time and retransmission information, and then transmits the data block and the retransmission information to the base station on an uplink resource which is allocated by the base station. A data receiving method comprises the following steps: the base station receives the data block and the retransmission information which are transmitted by the terminal, and determines whether to allocate the uplink resource which is used for transmitting the data block according to the fact whether the received data block is correct and the retransmission information. The invention also discloses the base station, the terminal and a data transmission system. Retransmission information of each uplink data block is notified to the base station according to the invention, thereby the invention has the advantages of uniformity of the base station and the terminal which is kept during the process of data retransmission, avoidance of resource waste, and capability of effectively guaranteeing QoS requirements of business flows.

A joint resource allocation method ensuring a QoS requirement in a collaboration cognitive network belongs to the technical field of wireless communication. In the collaboration cognitive network, a secondary system assists a primary system to reach target effective capacity of a user, and the secondary system uses a leisure sub-carrier to transmit own signal at the same time. The resource allocation algorithm not only performs optimal distribution to power allocation of the secondary system and subcarrier allocation in a joint manner to reach a goal of high energy efficiency, but also considers the QoS (quality of service) requirement of a system. The joint resource allocation method of the invention balances limited radio resource and QoS requirement which is improved constantly so as to fills the blank of performing resource allocation and ensuring the QoS requirement in the collaboration cognitive network.

The method comprises: RNC pre-configures a mapping relation table between RAB parameters appointed by core network and the sign of scheduling priority; the RAB parameters comprise service class, allocation/reservation priority and service processing priority; said mapping relation table comprises a classification table of allocation/reservation priority, a classification table of service processing priority and a mapping relation sub-table of scheduling priority sign of all kind services; after the reception and control layer allows the RAB service access to high speed downlink packet access system, the RNC read out the RAB parameters in RAB appointing request, and based on the parameters, gets the scheduling priority sign corresponding to the service from the mapping relation table.

The invention discloses a joint transmission method for carrying out parallel transmission and cooperation, wherein the joint transmission method is applied to a cognitive network and aims at resolving the problems that an existing transmission strategy designed based on an automatic repeat request (ARQ) protocol is little in handling capacity obtained by a secondary user when a primary user has good channel conditions, and handling capacity loss of the primary user has no compensation. The joint transmission method mainly comprises the steps that 1. the secondary user sets transmitted power, and the fact that the outage probability of the primary user meets an interrupt threshold value is guaranteed; 2. the secondary user monitors feedback information of the primary user, and judges whether a current slot time is a first transmission time slot or a retransmission time slot; 3. if the current time slot is the first transmission time slot, the secondary user and the primary user are in parallel transmission, and handling capacity is obtained; and 4. if the current time slot is the retransmission time slot, the secondary user serves as a relay of the primary user, and compensates interference caused on the primary user in the parallel transmission. According to the joint transmission method, the handing capacity of the secondary user is improved on the premise that the primary user obtains the minimum handling capacity loss, definite compensation is provided for the handling capacity loss of the primary user, and the joint transmission method can be used for improving transmission efficiency of the cognitive network.

The invention provides a smart grid MAC layer multi-service performance analysis method based on a Markov model. The method mainly comprises the steps that 1) an EDCA mechanism is realized in the MAC layer on the basis of IEEE802.11s, the new 3D Markov model is provided to analyze the states of service flows of different priorities of the smart grid, and the model includes the whole process from an unsaturated state to a saturated state; 2) in the multi-hop wireless Mesh network, the channel contention performance of services of different priorities in nodes is greatly reduced due to interference of a hidden terminal in the nodes, and thus, the back-off processes of the different service flows in the EDCA mechanism are analyzed by considering the hidden terminal and the QoS requirements of the different service flows in the smart grid comprehensively according to the provided Markov model; and 3) the back-off processes of the different service flows are combined to analyze the MAC-layer performances, as the average throughput and average end-to-end time delay, of the different service flows. The method provided by the invention can provide theoretical guidance for the wireless Mesh network that satisfy different QoS requirements of the smart grid.

The invention discloses a method and user device for triggering buffer area state report, belonging to the communication field. The method comprises the following steps: obtaining the water quantity for ensuring bit rate in PBR leaky bucket of radio bearer; and when the water quantity of PBR leaky bucket of radio bearer reaches the water quantity threshold of PBR leaky bucket of radio bearer and the radio bearer contains data to be sent, triggering the buffer area state report. The user device comprises an obtaining module and a triggering module. The method provided by the embodiment of the invention can timely trigger BSR, do not caused radio bearer resource starvation, reduce the cost used for sending BSR and provide efficient and fair buffer area state information needed by uplink scheduling so as to ensure the QoS requirements of various services.

The invention relates to a resource allocation method based on clustering in a femtocell double-layer network. The resource allocation method comprises the steps of allocating sub-channels for MUEs (Macrocell User Equipments) by employing a three-round sub-channel allocation algorithm; according to a planning objective and constraint conditions for power allocation, allocating a power for the MUEs by adopting a typical water-filling algorithm; carrying out clustering on femtocells by adopting an improved GASA; according to rate requirements of FUEs (Femtocell User Equipments), allocating the sub-channels for the FUEs by adopting a heuristic algorithm; and carrying out power allocation on the FUEs by employing KKT (Karush-Kuhn-Tucker) conditions. According to the resource allocation method disclosed by the invention, on the premise of guaranteeing normal communication of the MUEs, the interference among the MUEs is minimized, the spectrum utilization efficiency is improved, and the service quality of the FUEs and the MUEs is guaranteed.

The invention discloses a multilayered satellite network channel resource management method. The method comprises steps as follows: a prediction model of the business volume of new calling users allowed to be accessed in a community in a period of time is proposed firstly, the business volume of the new calling users allowed to be accessed in the community in a period of time is predicated accurately, and decision support is provided for different users requiring access to multilayered satellite networks; channel resource allocation is performed on the multilayered satellite networks, and the channel resource utilization rate of the whole satellite network is increased; types and the downgrading number of downgraded users are judged with a game theory, and an improved upgrading and downgrading model determines a specific downgrading method of the downgraded users and access of the downgraded users after downgrading, so that the downgrading process is more reasonable and more transparent, and the overall user's satisfaction is improved while the access of high-priority users is guaranteed. According to the multilayered satellite network channel resource management method, the users with different priorities in the satellite networks are reasonably accessed to the multilayered satellite networks, the channel resource utilization rate of the whole satellite system is increased, the user's satisfaction is improved, the satellite channel resource waste is reduced, and the satellite communication efficiency is improved.

The invention discloses a distributed energy-saving resource distribution method of a heterogeneous network, and belongs to the technical field of heterogeneous network self-organizing network. The method comprises the following steps: a home base station in a residential quarter obtaining a corresponding adjacent jamming list according to a jammed condition of all users; the home base station in the residential quarter obtaining an initial sub-channel allocation according to a new utility function; the home base station in the residential quarter performing cooperative sub-channel allocation to the determined initial sub-channel allocation based on respective adjacent jamming list; the home base station in the residential quarter performing power allocation according to new utility function after determining the sub-channel allocation, and a macro base station performing non-uniform pricing on each sub-channel. The same-layer jamming between the home base stations can be effectively reduced, the QoS requirement of a macro user on each sub-channel can be effectively guaranteed, thereby effectively reducing the cross-layer jamming of the home base station to the macro user.

The invention belongs to the technical field of equipment maintenance or management, and discloses an aircraft formation hierarchical network access management method and system. The management methodincludes the following steps: initializing aircraft formation network parameters; identifying aircraft node capability state information; defining node comprehensive property parameter indexes by using the node capability state information; constructing a whole network node capability visibility graph according to the comprehensive property parameter indexes; selecting a formation network accessinitiation node according to the consideration of the node capability visibility graph and the geographical location area; completing control information interaction between the network access initiation node and a main topology central control node according to the principle of minimum hop count and a sleep state multipath way-finding mode based on geographic location information; and carrying out information in a formation after the network access initiation node receives network access response so as to make the nodes update a local information field to finish the formation network access.According to the invention, maximum network access efficiency is obtained with lowest cost, the comprehensive performance of formation network access is improved, network communication QoS needs are guaranteed, and the task completion efficiency and quality are improved.