238results about How to "Meet QoS requirements" patented technology

The invention discloses a method for generating a service distributing strategy. The method comprises the following steps of: receiving a service request message at least carrying service type information and sent by a user terminal; when determining that the distribution access control of the user terminal is necessarily performed according to the service type information, acquiring the network environment information of a first access network to which the user terminal belongs and the network environment information of at least one second access network which uses a different wireless system from the first access network, and acquiring the distribution advice information matched with the service type information; and according to the distribution advice information, combining the network environment information of the first access network and the network environment information of at least one second access network to generate the service distributing strategy. Therefore, the service distributing strategy can be generated in an effective way in a distributed type heterogeneous communication system without a common wireless resource management entity so as to realize service distribution, and the service quality of the communication system is improved, the QoS needs of the user can be met to a larger extent, and the experience of the user is enhanced. Moreover, the invention discloses a wireless resource management device and the communication system at the same time.

The invention discloses a method and a device for allocating PDCCH resources, which is used in a communication system comprising a plurality of cells and allocates PDCCH resources for cell edge users or cell center users in the cells. The method comprises the following steps: dividing PDCCH resources into a plurality of control channel unit CCE sets; configuring main CCE sets and subsidiary CCE sets for the cells based on the CCE sets; and allocating the resources of the main CCE sets to the cell edge users, and allocating the resources of the subsidiary CCE sets to the cell center users. The invention improves the carrying capacity of the PDCCH channel transmission, ensures the reliability of the PDCCH transmission for the edge users, and meets the QoS requirements of the users.

The invention discloses a cross-layer route optimization method and a cross-layer route optimization device for a wireless Mesh network. The method comprises the following steps of: estimating the channel state of a current network according to the transmission efficiency parameter of a wireless link, judging the major cause of current packet loss according to a packet success ratio and a residual load rate when the channel state is poor, and adjusting the maximum retransmission time according to the packet loss cause; and acquiring the transmission efficiency PTEP of an entire route according to the transmission efficiency parameter of the wireless link, acquiring the residual load rate L-P of the route from which a source node and a target node are removed, computing the effective bandwidth etaB(c) of the route, constructing a route decision function according to the transmission efficiency PTEP of the route, the residual load rate L-P of the route and the effective bandwidth etaB(c) of the route, performing route discovery and route maintenance operation by using the route decision function, and selecting an optical packet transmission route between the source node and the target node. According to the invention, the route quality of an MAC (Media Access Control) layer can be sensed more accurately, and the error judgment times of the route are reduced.

The invention provides a utility function based distributed type power control method for a cognitive radio system, belongs to the technical field of wireless communication, and particularly relates to power control used in the cognitive radio system. The invention relates to a compromise solution not only meeting the requirement on protecting a main user, but also supporting the requirement on the service quality of the cognitive user. The scheme is based on the non-cooperative game theory, namely the self-regulation of transmitting power of various CRUs is only needed, so that the defect existing in the conventional distributed type power control that huge information interaction is needed is overcome. By analyzing the geometric characteristics of the utility function, skillfully setting the parameters of the utility function and simultaneously combining the access control, the convergence of power is ensured; simultaneously, by regulating the parameters, the needs for the prior network services are met; in addition, a frame structure and a protocol flow which are suitable for the power control method are designed, and the frame structure and the protocol flow are suitable for any distributed type cognitive radio system, so that the power control method has quite strong practicability.

The disclosed adjustment method on channel quality indication for HSDPA system comprises: according to business type, selecting relative CQI adjustment algorithm to adjust reported CQI; to non-delay sensitive business, selecting CQI algorithm based on IBLER, while selecting CQI algorithm based on RBLER for delay sensitive business. This invention can adjust IBLER target value according to load condition.

The invention provides a method with the QoS requirement for distributing resources in a CR OFDM system, which comprises the following steps: selecting a cognitive user whose gamma m is maximal from a to-be distributed cognitive user set UM, distributing the proper sub-carrier wave, power and bit number for the cognitive user according to the principle that the gain factor gamma mn is larger than the priority or the bit numbers are approximate, newly confirming to-be distributed sub-carrier wave sets SN and UM, newly calculating the interference I generated to the users by the cognitive users, if the I is bigger than the interference threshold value Ith of the authorized users, canceling the sub-carrier wave and the distributing of the power and the bits and finishing the distributing work, if the UM has no to-be distributed cognitive users and the SN still has the to-be distributed sub-carrier wave resources, then distributing the residual carrier waver resources. The method considers the two restraining conditions of the interference threshold and the QoS requirement of the users, thereby further improving the availability ratio of the frequency spectrum and the distributing of the recourses.

The invention belongs to the technical field of cloud computing-based resource scheduling and in particular provides a resource scheduling method based on dynamic gaming in a cloud environment. The method comprises the steps of building a model of resource scheduling based on dynamic gaming in a cloud environment; based on the model of resource scheduling based on dynamic gaming, distributing priority of resource selection user task attributes; employing a strategy that those who apply first select distribution priority first for users with the same task attributes and defining the earnings of each user as the satisfaction degree of QoS; obtaining a Nash equilibrium solution of the gaming by using a backward induction method. For the problem of resource competition caused by simultaneous submitting of tasks by users in a cloud environment, the method builds the cloud environment dynamic gaming resource scheduling model, performs modeling and analysis on resource competition between the users by using the dynamic gaming theory, and satisfies the QoS requirements of all the users as much as possible; the method meets the requirement of each user to the greatest extent; the method obtains a Nash equilibrium solution of the dynamic gaming model by using a backward induction method, thereby achieving the most reasonable and effective allocation of resources.

The embodiment of the invention provides a method, a device and a system for carrying out uplink pre-scheduling processing. The method comprises the following steps of: acquiring service attribute information of user equipment, wherein the service attribute information is used for judging whether the user equipment possibly sends burst uplink data or not; and if the condition that the user equipment possibly sends the burst uplink data is determined according to the service attribute information, carrying out uplink pre-scheduling processing on the user equipment. Compared with the prior art that the scheduling of the burst uplink data can be completed only through 8 transmission time intervals (TTIs), the embodiment of the invention has the characteristics of shortening the time of scheduling the burst uplink data and can meet higher time delay requirements and higher quality of service (QoS) requirements.

The invention discloses a computing task and virtual machine deploying method within a virtual data center, which aims to optimize the QoS (Quality of Service) demand of a computing task and to improve the resource utilization rate of the data center on the basis that the service capabilities provided by a physical resource and a virtual resource appropriately surpass the actually provided service capabilities at certain proportion. The computing task and virtual machine deploying method comprises three stages: dividing the computing task into isomorphic computing tasks; modeling a virtual resource request of the isomorphic computing tasks, and deploying virtual machines based on needs; and modeling according to the physical resource requests of the virtual machines required to be deployed in the above step, and turning on a physical host according to needs. The computing task and virtual machine deploying method is applicable for computing tasks with different features and is suitable for different types of data center scenarios, and a reasonable critical value of resource service capability deflection proportion exists between the satisfaction of the QoS demand and the improvement of the resource utilization ratio.

The invention discloses a hierarchical cellular network base station sleep method based on a low-power base station. The hierarchical cellular network base station sleep method comprises the following steps of: S1, executing a sleep judgment of a macro base station according to the distribution density of the low-power base stations in a macro cell of the macro base station; and S2, after the sleep judgment of the macro base station is completed, executing a sleep judgment of the lower-power base stations in the macro cell. According to the invention, the problem that the traditional base station sleep policy is not applicable to a hierarchical network with co-existence of base stations of different types is solved; according to the characteristics of the hierarchical network, the advantages of the low-power base stations are fully utilized to make the sleep of the macro base station more flexible; and due to a dynamic bias value set in the sleep judgment, the blocking rate of a system is effectively reduced particularly in a user amount increase period, and the QoS (Quality of Service) requirements of users are met; and the judgment is made always by taking minimal energy consumption as a target, so that the energy consumption of the system is minimized on the basis of guaranteeing the QoS of the users.

The invention discloses a self-adapting flexible control system of Web application in a cloud computing platform and a method of the self-adapting flexible control system, which are used to dynamically adjust computing resources according to load change. The system comprises a performance monitor, a load database, a performance model computing module, an optimization controller and an automatic configuring module. The method comprises the steps that: firstly, the performance monitor constructs a layered queue network model according to structure of the Web application and processing procedure of requests; the web application is deployed in a real cloud computing platform and a record label is inserted into each layer of component of the web application, so as to record the actual execution time of each request at each resource of each component, thereby obtaining parameters needed by a web application performance model in the performance model computing module; when application load changes, the optimization controller computes the performance of the application of each resource configuration scheme via a heuristic search algorithm, finds the configuration scheme which needs the minimal cost and also can meet the requirement on Qos (quality of service), and then takes the configuration scheme as the optimal configuration scheme; and finally, the automatic configuring module readjusts resources needed by each component of the application.

A packet routing method includes computing, for each source node in the data network and each destination node in the data network, a set of multiple routes providing a full range of performance from the source node to the destination node. The multiple routes are preferably precomputed and stored. The full range of performance is defined by a set of dominant routes, defined in terms of a partial order on a multi-dimensional space whose dimensions correspond to performance metrics such as bandwidth, latency metric, and jitter. The method selects, for a packet originating from a source node and addressed to a destination node, a route from the computed set of multiple routes and forwards the packet in accordance with the selected route.

The invention relates to a service processing system for a multimode terminal. The system comprises a wireless access network and a service network, wherein a wireless honeycomb network or a wireless local area network serves as the wireless access network; the Internet or intranet serves as the service network; the service processing system further comprises a wireless module set, wireless access equipment and a grouped data gateway device; the wireless module set comprises at least one wireless module; a wireless access point or a wireless base station and a controller or a gateway of the wireless access point or the wireless base station serve as the wireless access equipment; the grouped data gateway device comprises at least one grouped data gateway; the wireless module set is used for creating a wireless link through the corresponding wireless access equipment and is connected to the grouped data gateway device through the corresponding wireless access network, thereby establishing a service link channel; the multimode terminal accesses the service network through the service link channel to obtain a service; and the wireless module set comprises at least one of a WiFi (Wireless Fidelity) module, a 3G (Third Generation) wireless module, an LTE (Long Term Evolution) wireless module and a Bluetooth module.

The invention relates to a classified pack distributing method based on service quality. Wherein, it comprises: setting the allowance time delay met the demand of service quality QoS for the priority queue; calculating the distributing weight of each priority queue; said weight is directly rationed with the signal channel quality parameter, and is directly rationed with the waiting time of group data pack in the queue, and is inversed rationed with the allowance time delay of queue; then distributing the group data pack of queue with highest weight. The invention can improve the throughout of region and reduce the pack loss.

The invention discloses a QoS-aware service chain backup method and system. The service chain backup method comprises the following steps: a QoS-aware service chain backup problem is subjected to mathematical modeling, and QoS constraint conditions and a target function of the service chain backup problem are set; a service chain with the reliability lower than a reliability threshold is subjectedto backup of a virtual network function according to the QoS constraint conditions of the service chain backup problem, if the to-be-backed up virtual network function exists, an existing backup virtual network function is preferentially selected to serve as a shared backup, and if the to-be-backed up virtual network function does not exist, a new backup is created; and a final service chain backup scheme is determined according to the QoS constraint conditions and the target function of the service chain backup problem. According to the QoS-aware service chain backup method and system, the QoS requirement is combined with the backup process, the sharability of the backup network function is considered, therefore, excessive backup of the VNF is reduced, and the resource utilization efficiency and reliability of the service chain are improved.

The invention discloses a SDSIN-based multi-task routing method. The method comprises the following steps: establishing a reasonable network model; carrying out spatial task level division; establishing a mathematical model based on an SDSIN multi-task routing method; making a link parameter decision; and carrying out weight updating. On the basis of the machine learning algorithm, the method considers a plurality of factors such as link state parameters and spatial tasks fully to realize optimal path selection, so that the utilization rate of network resources is increased and a congestion phenomenon of local links is avoided. Meanwhile, QoS requirements of various spatial tasks are met. With full consideration of link characteristics like transmission delay, a packet loss rate and a remaining bandwidth, a training set is trained based on the parameters; the link parameter weights are updated; and thus the multi-tasking routes are selected and recorded. Therefore, the utilization rateof the underlying resources is increased and the load balancing across the entire network is realized.

A stream switching method, a system and a network device are disclosed. The stream switching method comprises the following steps: a switching decision maker receives information of streams to be switched sent by a switching initiator through a target mobile access gateway, judges whether switching is permitted or not, and returns judgement result information to the target mobile access gateway, and an area mobile anchor which provides services for the information of streams to be switched updates the routing information of the streams to be switched under the condition that the judgement result is permission of the switching. The technical proposal can realize the switching with stream as unit and enriches the realization methods of the stream switching, thus being capable of satisfying the requirements of streams such as QoS.

A medium- and long-distance super-capacity universal wireless sensor network comprises base station nodes, sensor nodes and a network control center. The base station nodes are network coordinator nodes used for establishing and managing a local network, communicating with wireless sensor nodes in a range covered, forwarding query command of the network control center and sending query information back to the network control center. The wireless sensor nodes are used for sending related information of carriers to base stations. The network control center is used for full-network channel resource configuration and full-network terminal user management and for communication with an external network. The invention further provides a communication method of the medium- and long-distance super-capacity universal wireless sensor network. Provided are the medium- and long-distance super-capacity universal wireless sensor network allowing large-area coverage and having super-scale capacity and compatibility with different applications and the communication method thereof; the network employs a low-power medium- and long-distance wireless communication technique.

The invention relates to an adaptive modulation (AM) method design and performance evaluation for a wireless distributed multi-antenna system (DAS). Under the constraint condition of a target bit error rate (BER), the system frequency spectrum efficiency is maximized to respectively design two AM schemes of a discrete rate and a continuous rate. By aiming at the discrete rate AM, an adaptive switching threshold based on precise BER is provided. Compared with the traditional AM based on an approximate threshold, the AM method disclosed by the invention can obtain high frequency spectrum efficiency. A channel model comprising path loss, shadow fading and Rayleigh fading is designed by considering the practical situation of DAS. On the basis, the computation expression of a continuous rate AM frequency spectrum efficiency, a discrete rate AM frequency spectrum efficiency and the average BER is given so as to provide an effective method for system performance evaluation. An Matlab (matrix laboratory) simulation platform shows that the designed AM method can satisfy the target BER requirement, and the continuous rate AM method is better than a discrete rate AM method. In addition, due to the providing of an improved threshold, the discrete rate AM can be used for realizing the high frequency spectrum efficiency if being compared with the traditional AM method. In addition, the provided frequency spectrum efficiency has good consistency with the average BER calculation and simulation, and the system performance can be effectively evaluated.

The present invention provides a heterogeneous fusion network-based traffic management method and system. The method comprises steps of A1, when a user terminal accesses a WiFi AP, acquiring current network state information and generating a measurement report; A2, calculating, based on the measurement report and information of each WiFi AP, remaining sub-carrier resource of each WiFi, and acquiring all available WiFi APs of the user terminal; A3, allocating, based on all available WiFi APs and QoS demands, a to-be-transmitted data package sent by a core network to an LTE network and a WiFi network to transmit; and A4, sending an RCC connection establishing signal to the user terminal and establishing a connection, and sending the to-be-transmitted data package to the user terminal through the LTE network and the WiFi network. An authorized frequency and an unauthorized frequency are fully used to meet the QoS demands of users, and the authorized frequency and the unauthorized frequency are managed in a unified manner.