73results about How to "Guaranteed Latency Requirements" patented technology

The invention discloses a resource allocation and task scheduling method for edge cloud combination. The method comprises the steps of firstly recording the relevant information of an edge server adjacent to the edge server in the edge server; when the task arrives at an edge server adjacent to the task, using the server to calculate the estimated calculation time and energy consumption cost for sending the task to each server; selecting the edge server with the lowest energy consumption cost from the servers meeting the calculation time required by the task as the task execution position, ifthe server does not meet the requirement, executing the task locally, and if all the servers are in the full load state, issuing the task to the cloud server for execution under the condition that themaximum delay time is met, and finally, after the task arrives at the processing position, using the edge server to carry out the task execution sequence scheduling and data transmission scheduling on the task according to the deadline of the task, so that the purposes of reducing the energy consumption cost of the whole system and balancing the load of the whole edge server are achieved on the premise of ensuring the task delay requirement.

A method and a device for a terminal to select a resource, and a computer storage medium, said method comprising: a physical layer of a terminal performing resource monitoring in a monitoring window,and performing, in a selection window, resource selection on the basis of the monitoring result according to at least one T2 value, the time range corresponding to the selection window being [n+T1, n+T2], n being the current moment, T2 being greater than T1; and the physical layer of the terminal sending a resource selection result to an MAC layer.

The invention discloses a device for dispatching a real-time service and a method thereof, which comprises: according to the types of different real-time services, SDU queues are established respectively; the SDU is put in the corresponding SDU queues respectively; priority of the SDU queues is set, and the SDU in the SDU queues is uniformly put in the SDU queues in sequence according to the priority; and the SDU in the SDU queues is dispatched uniformly. In the dispatching method of the invention, time limit coefficient and the uniform SDU queues are introduced, SDU which has pressing time requirement can be guaranteed to be dispatched in time, being lost can be avoided for overtime of dispatching, better time guaranteeing performance is provided, and the effects can be realized that the rate of losing packet is lowered and time delay requirement can be guaranteed.

The present invention discloses a self-adaptive time slot allocation method according to node density and loads in a self-organizing network, and the method is mainly used for solving the problem that the certain delay requirement is difficult to ensure under the condition of variable node density and loads in the wireless self-organizing network. The method includes the steps as follows: 1. accessing the network by the node P and constructing a slot time table; 2. selecting the time slot by the node P; 3. judging the time slot type of the node P at the current time; 4. adjusting the occupied fixed time slot according to the node density under the condition of broadcast type time slot; 5. performing dynamic time slot ordering and release according to loads under the condition of fixed time slot so as to realize the time slot allocation. The method provides the basic data transmission ability and stable data transmission, ensures the stability of the system delay requirement, and can be used for the TDMA protocol in the mobile self-organizing network.

The invention discloses a radio resource distribution method based on utility in an orthogonal frequency division multiple access (OFDMA) system. Firstly, the radio resource distribution method provides all the users in system with utility functions, channel state information (CSI), time delay, business quality of service (QoS) index, data queue state information (QSI) and quantity of delivered data package by users are considered comprehensively into the utility function. Secondly, a resource distribution aim is established by using the sum of all the utility functions of each user on condition that total power of a base station and power distributed on every sub-carrier wave are limited. Lastly, the resource distribution aim is achieved by distributing resource to users according to the designed utility functions. Due to the fact that influences of multiple factors such as CSI, time delay, business QoS index, QSI and quantity of delivered data package by users are comprehensively considered in the utility functions, therefore, a better balance between system throughput, time delay character and fairness among users is achieved compared with traditional source distribution methods.

The invention provides a vehicle-mounted communication system wireless resource scheduling method, and aims at providing the scheduling method which allows the overall performance of a vehicle-mounted communication system to be improved, allows the fairness of users to be guaranteed and allows the requirements of the users for different services to be met so that the fairness of communication between OBUs at different speeds and an RSU in the vehicle-mounted communication system can be better improved and the time delay requirements of various vehicle-mounted communication services can be met. The method includes the steps that the RSU judges state information of a vehicle, obtains location formation and movement information of the vehicle in the activated state and obtains a speed priority factor of the OBUs, service priority factors of the OBUs are obtained according to the requirements for the service types and the service quality of the OBUs, the channel quality between each OBU and the RSU is obtained according to the location information of the vehicle, the real-time transmission rates of the OBUs are calculated, fairness priority factors are obtained through calculation of the real-time transmission rates of the OBUs, the user priorities of the OBUs are obtained through a scheduling algorithm according to the speed priority factors, the service priority factors and the fairness priority factors, data are transmitted and the average transmission rate is updated and recorded according to the priority sequence, vehicle information and channel information are updated, and the scheduling process is not stopped until the circulation stops.

The present invention discloses an energy efficiency, spectral efficiency and QoS integrated optimization method in a large-scale MIMO. The method comprises: establishing a large-scale MIMO downlink model, eliminating the interference between users, decomposing a channel into a plurality of parallel channels, and calculating system efficiency; and performing user dispatching, and determining each user's waiting time slot number, and optimally dispatching users who have the waiting time reaching or exceeding the maximum waiting time slot number; if the selected user number cannot reach the upper limit, employing the greedy algorithm to dispatch the users; and performing power distribution, taking the base station sending antenna power top limitation and the user QoS rate top and bottom limitation as constraint conditions, performing power distribution, solving the maximum energy efficiency, and finally obtaining the integrated optimization of the spectral efficiency and the energy efficiency. The energy efficiency, spectral efficiency and QoS integrated optimization method in the large-scale MIMO can ensure the users' QoS delay requirement, and the obtained user real instantons rate is in the QoS requirement range. Compared to the distribution scheme of only limiting the rate down limitation, the energy efficiency, spectral efficiency and QoS integrated optimization method in the large-scale MIMO is higher in the effective spectral efficiency and combines the spectral efficiency and the energy efficiency.

The invention relates to the field of communication, and discloses a time slot resource occupation processing method and a time slot resource occupation processing device. The method comprises the following steps: when a reset time slot arrives, information recorded in a maintained time slot state vector corresponding to the reset time slot is copied to a maintained historic time slot state vector corresponding to the reset time slot first, then, the time slot state vector is reset, and the time slot state vector and the historic time slot state vector are updated in real time according to received frame information FI before a next reset time slot arrives; and at any time, time slot application is performed according to time slot state information recorded in the currently-maintained historic time slot state vector when that a new time slot resource needs to be applied is determined. Therefore, real-time performance and accuracy of the sent FI are ensured, introduction of wrong history information and unnecessary negative feedback is avoided, the feasibility and reliability of a selected idle time slot are ensured, time slot resource collision is avoided, the amount of processing before FI sending is reduced, and the processing delay is effectively reduced.

The invention relates to a space laboratory information system based on an advanced in-orbit data processing method. The telemetering, instruction and communication functions are realized through a data information system based on a 1553B bus, and the high-speed data transmission is realized through a high-speed data transmission system based on AOS. The space laboratory information system based on the advanced in-orbit data processing method disclosed by the invention can support a manned spacecraft to accomplish all in-orbit functions.

The invention provides a computing resource and spectrum resource distribution method for fog computing in the Internet of Things. The method comprises the following steps: establishing a fog computing system model; initializing a quantum seed group and parameters, and measuring the quantum seeds to obtain the positions of the quantum seeds; calculating fitness values of all quantum seeds to obtain a global optimal position of the quantum seed group and selecting a quantum seed elite position set; updating quantum positions of all quantum seeds in the population according to a quantum seed sowing rule; measuring the quantum positions of all the updated quantum seeds to obtain corresponding positions, calculating a fitness value of each quantum seed, and updating a global optimal position and a quantum seed elite position set; if the number of iterations is smaller than the preset maximum number of iterations, returning to the fourth step; and otherwise, terminating iteration, and outputting the global optimal position of the quantum seed group to obtain a corresponding computing resource and spectrum resource distribution scheme. According to the method, the network energy efficiency optimization problem of fog computing in the Internet of Things can be solved.

The invention discloses a method for confirming the priority of non-ensured bit rate service, comprising the steps: roughly queuing a radio bearing block (RB) of a non-ensured bit rate in a system by a time delay parameter of the RB; and queuing again for the sequence of hybria automatic retransmission request (HARQ) retransmission, primary transmission, initial transmission according to the attribute values when the number of the RBs in queues with the same priorities is two. The invention also discloses a method for dispatching the priority of non-ensured bit rate service, comprising the steps of dispatching the RBs according to the sequence of the priorities from high to low and circularly dispatching RBs with the same queuing based on the method for confirming the priority of non-ensured bit rate service. The invention fully embodies the pressing force of the service, more fully ensures the QoS characteristic of the service, and also embodies the justification of dispatching.

The invention provides a random access method and a terminal and relates to the technical field of communication. The method comprises the steps of obtaining replaced access configuration employed when the terminal randomly accesses a network again after a process of randomly accessing the network; and randomly accessing the network again according to the replaced access configuration employed when the terminal randomly accesses the network again after the terminal accesses the network unsuccessfully in the process of randomly accessing the network. According to the scheme provided by the invention, a retransmission access success rate of random access sequence can be improved, and the whole random access delay is reduced.

The invention discloses a service data transmission method, a base station and a terminal. The method comprises the following steps: determining numerical value configuration Numerology information oftarget service, the maximum transmission times of the service data of the target service and a redundancy version adopted in every transmission according to a transmission performance indicator of the target service; and within the maximum transmission times, sending the service data to the terminal through a transmission resource corresponding to the numerical value configuration information byadopting the redundancy version corresponding to every transmission. The base station disclosed by the invention determines the numerical value configuration information according to the transmissionperformance indicator of the generated service to ensure the delay requirements of the service transmission, and further determines the maximum transmission times and the redundancy version adopted in every transmission according to the transmission performance indicator of the generated service to ensure the transmission reliability of the service data. If the transmission performance indicatorsof the service are different, various parameters configured to the service are different so as to meet different reliability and delay requirements.

The invention proposes a low-delay high-reliability resource allocation method based on deep reinforcement learning, and NR-V2X side chain resource allocation outside the coverage range of a base station is considered, wherein a vehicle schedules URLLC slice resources used by V2V users in a 5G network according to information observed by the vehicle and a Q network obtained in a training stage. In order to maximize the energy efficiency of V2V communication and ensure the reliability and time delay requirements of communication, a deep reinforcement learning architecture using centralized training and distributed execution is provided, and a model meeting the requirements is trained by means of a DDQN learning method. Modeling of targets and constraints in a resource allocation problem is converted into income design in deep reinforcement learning, the joint optimization problem of V2V user channel allocation and power selection can be effectively solved, and the performance is stable in optimization of a series of continuous action spaces.

The embodiment of the invention provides a GPON (Gigabit Passive Optical Network)-based service bandwidth distribution method and device, so that an ONU (Optical Network Unit) can meet a delay requirement of a service according to a process of distributed bandwidth transmission service flow. The method comprises the following steps that: a network element acquires a second data volume according toa service transmission parameter of a delay-sensitive service, wherein the second data volume is a data volume transmitted by the ONU by adopting a fixed bandwidth in a first uplink period; when a first data volume is greater than the second data volume, the network element determines a first dynamic bandwidth to be configured, wherein the first dynamic bandwidth is a dynamic bandwidth required by the ONU in the first uplink period; the network element acquires a third data volume according to the first data volume and the second data volume, wherein the third data volume is a data volume transmitted by the ONU by adopting the first dynamic bandwidth in the first uplink period; and the network element completes configuration of the fixed bandwidth and the first dynamic bandwidth accordingto the second data volume and the third data volume.

The invention belongs to the technical field of wireless transmission, and discloses a competitive time division multiple access method of simultaneous transmission of multiple voices in a wireless adhoc network. The method comprises the following steps: all nodes are powered on to enter perform initial network access at first; then, the nodes enter a service transmission state, and each node independently maintains the same service frame; when a service packet to be transmitted by a certain node reaches a competition threshold, the node initiates dynamic voice time slot competition, and sends the data service packet by using the competed voice time slot in the case of competition success, until the service is lower than the competition threshold or a voice service comes; and when a certain node has the voice service, the node initiates a voice service reservation process, and the node sends the data service packet in the voice time slot after the reservation is successful, until thevoice service is sent or a node with higher priority performs voice service reservation. By adoption of the competitive time division multiple access method disclosed by the invention, the delay requirements and the quality of service requirements of the delay sensitive services can be guaranteed, the system transmission efficiency is improved, and the transmission user experience is enhanced.

The invention discloses a Deadline-oriented scheduling method capable of meeting time determinability, and belongs to the technical field of airborne network communication. According to the method disclosed by the invention, the scheduling priority of a data frame which is closer to Deadline is higher; meanwhile, scheduling among all ports of a switch is achieved by a fair polling mode; fair service of different links is ensured; the determinability of network exchange delay is ensured. According to the Deadline-oriented scheduling method, the problems that a safe key business requires high real-time scheduling service, and end-to-end delay has an upper bound are solved; the requirements of the delay determinability of an airborne network is ensured to the maximal extent; the data frame which cannot meet the delay requirements can be discarded in advance; the time integrity of the data frame is ensured.

The invention discloses a scheduling method and device, and equipment so that a problem that the time delay is increased when a V2X service is transmitted by using SPS resources because the V2X service arrival time does not match the SPS resources in the prior art can be solved. The method comprises: according to a configured SPS occasion and SPS window length in a transmission direction, an SPS window corresponding to the transmission direction is determined, wherein the SPS window ends with the SPS occasion; when a data arrival time in the transmission direction is determined to be located in an SPS window corresponding to the transmission direction, data are transmitted by means of SPS; and when the data arrival time in the transmission direction is determined to be beyond the SPS window corresponding to the transmission direction, data are transmitted by means of dynamic scheduling. Therefore, the signaling costs are minimized while the service delay requirement is met.

A method and an apparatus for scheduling transmission of data streams over a common communication link are disclosed. The method includes the following steps:for each of the data streams, determining a first amount of data in the data stream for an incoming time slot; for each of the data streams, determining, based on an available data amount that is provided to the data streams for the incoming time slot and the first amounts of data in the data streams for the incoming time slot according to priority levels of the data streams, a second amount of data in the data stream; and transmitting, during the incoming time slot, the second amounts of data in the plurality of data streams over the common communication link according to the priority levels of the data streams.

The invention discloses a RapidIO-based transmission device and a RapidIO-based reception device. The transmission device is used for transmitting a RapidIO data frame to a window space of the reception device according to a Doorbell returned by the reception device and marking effective data length information and a data reading mark as unread at an information bit of the window space; and the reception device is used for reading the RapidIO data frame according to the information bit of the window space, updating data mark information as read and returning a finally read window sequence number to the transmission device through the Doorbell. According to the transmission device and the reception device disclosed by the invention, the system overhead is greatly reduced and the transmission speed is improved while the chronesthesy is ensured.

This invention discloses a method for adjusting reverse service channel power including the following steps: A, an access terminal sends reverse data packets to the network side, which decodes them to record the decoded sub-packet number N if the decoding is successful and enquires to get the corresponding terminal target based on the transmission mode and sizes of the decoded reverse data packets, B, comparing the numbers of the terminated target and the sub-packet to determine the T2P of the adjusted service channel to the reverse pilot frequency to be sent to the access terminal, C, the access terminal adjusts the transmission power of the reverse data packets corresponding to the transmission mode and packet size based on the T2P.

The invention discloses a time slot allocation method for guaranteeing business time-delay requirement in a vehicle network, mainly aiming at solving the problem that the existing method can not give consideration to the time-delay requirement of the business and the maximization of the network throughput capacity at the same time. The time slot allocation method comprises the following realization steps of: measuring the quantity, the speed and the position of vehicle nodes within the communication range of roadside equipment by the roadside equipment; judging whether the sum of the communication time delay, the vehicle nodes speed and the all grouping arrival speed between the vehicle nodes and the roadside equipment meets a corresponding condition or not by the roadside equipment; adding the vehicle nodes which meet the condition into a scheduling list, computing the time-delay sensitive factor of the business, and the time slot quantity allocated for the business; allocating the residual time slots when no new business is available for the vehicle nodes if the roadside equipment further has the unallocated scheduling time slots; and stopping the time slot arrangement of the scheduling cycle by the roadside equipment. According to the time slot allocation method, the time-delay requirement of the business can be guaranteed, the maximization of the time slot use ratio can be realized, and the fairness can be considered at the same time.

The invention provides a configuration method and a transmission method of sounding reference signals SRS, a base station and a terminal. The method includes the following steps: configuring an SRS resource set for a terminal, wherein the SRS resource set includes a first resource set which can be used to transmit non-periodic SRSs and a second resource set which can be used to transmit semi-persistent SRSs; and sending a control signaling. According to the embodiment of the invention, whether the terminal activates the transmission of non-periodic SRSs and / or semi-persistent SRSs and which resource of a corresponding resource set is used to transmit non-periodic SRSs and / or semi-persistent SRSs are indicated by a control signaling, so that the terminal can transmit non-periodic SRSs and / or semi-persistent SRSs accurately and in time. The delay requirement of SRS can be ensured, the flexibility of SRS configuration and transmission is increased, and the signaling overhead is saved.

The invention discloses a complex simulation workflow application-oriented profit-sensitive task scheduling method. The method comprehensively considers execution rules of sub-tasks of simulation workflow application in virtual machines, dependency relationships among the sub-tasks and characteristics of profit relationships between application and a simulation cloud provider. For requests of complex simulation workflow application, a deep network model including multiple stacked sparse self-encoding layers and one support vector regression analysis layer is established, an effect function which is suitable for use in general time limitation (including hard time limitation and soft time limitation) and has two deadlines is established on the basis thereof, then a task scheduling optimization model of maximizing profits of the simulation cloud provider under a simulation cloud environment is established, a virtual-machine selection algorithm is established for the sub-tasks, and profit-sensitive task scheduling under the simulation cloud environment is realized. According to the method, the executable sub-tasks can be intelligently scheduled to specific virtual machines for execution, the profits of the simulation cloud provider can be maximized, and satisfaction of delay needs of all the requests can be guaranteed.

The invention provides a random access congestion control method and an electronic device. The random access congestion control method comprises the following steps: step 1) a base station estimates the load of each priority device in a next access time slot; 2) the base station sets an access forbidding priority and an access forbidding probability of the next access time slot according to the estimated load of each priority device of the next access time slot; and 3) the base station broadcasts the access forbidding priority and the access forbidding probability of the next access time slot,and the access forbidding priority is used for the equipment to determine whether to perform access or forbid access according to the access forbidding probability, so that the access success rate ofthe MTC equipment in a 5G system machine type communication scene can be improved.

The invention provides a forwarding task scheduling method and system for guaranteeing hierarchical time delay in a virtual switch, and the method comprises the steps: 1, distributing the priority of forwarding task scheduling to each virtual machine in the same server, setting a threshold value for a speed limiting token bucket of each virtual machine according to the batch processing capability of the virtual switch in the server, and constructing a priority queue corresponding to each priority; 2, taking out a data set taking a virtual machine as a unit from the priority queue according to the priority, forwarding a batch of data packets by the virtual switch, judging whether the number of tokens in the data set is greater than the threshold value or not, if so, writing the data set back to the corresponding priority queue, and otherwise, putting the data set into a waiting queue; and 3, monitoring the number of tokens in each data set in the waiting queue, and migrating the data sets of which the number of tokens in the waiting queue is greater than the threshold value to the corresponding priority queues.

The invention provides a fog computing Internet of Things networking method based on time delay perception. According to the time delay characteristics of the periodic service, the enhanced mobile broadband service and the non-periodic key service in the industrial Internet of Things scene, a fog computing access point (Fog Access Point, F-AP) can flexibly adopt semi-static scheduling, preemptivescheduling and dynamic scheduling. According to the invention, the storage, processing and forwarding capabilities of the F-AP are fully utilized, a queue and a time perception scheduling table are created for each service data packet, aperiodic key services requiring ultralow time delay are forwarded preferentially and can be directly forwarded to an edge server for service processing, and meanwhile strict low-time-delay jitter of periodic services can be guaranteed based on scheduling of time perception. The method can be applied to the scene of coexistence of various time delay demand differentiated services in the Internet of Things, and the time delay and jitter performance of the network are improved.

The invention discloses a group switching method based on service priority in blocking rate constraint. According to the method, firstly group switching users in a network are distinguished according to service types, at the same time different priorities are distributed for different types of users, thus a priority queue is formed, and the users are switched orderly according to the priority queue. When the users are in the same priority, a blocking rate function is constructed, and through limiting the current blocking rate in given blocking rate constraint, the number of the users which can be switched at current time slot is determined. After the number of the users which can be switched is determined, only the above users can be switched at present, and thus a network congestion problem can be effectively avoided. The method comprises the following steps: (1) classifying the users and generating the priority queue, (2) determining the probability of networks selected by the users, (3) defining a switching blocking rate, (4) determining the number of the switched users in each time slot, and (5) executing the switching concretely.

The invention discloses a computing task offloading method oriented to the Internet of Vehicles. In order to improve the revenue of computing resource providers in the computing task offloading process in the prior art and ensure the completion delay of the computing task to a certain extent, the invention adopts the base station side The computing resources of the MEC serve and the computing resources of road vehicles provide an offloading solution for the computing tasks of the roadside UE; the communication delay of the task, the computing delay, and the processing rate and queue length of the computing processing queue are included in the decision-making reference factors. The mathematical model of Markov decision-making is used to analyze the change of the state, and the deep learning algorithm is used to obtain an optimization strategy space, that is, when the corresponding state adopts the corresponding behavior, the resource provider's revenue is maximized, and the user's calculation is guaranteed to a certain extent. The latency requirement of the task.

The invention discloses a method of a self-organizing network directed route in the air. The problems of being poor in invulnerability, roundabout in route, bad in link reliability, free of high priority level business service quality guarantee and low in network throughput in the method of a self-organizing network route in the air are mainly solved. The realization process is that all nodes obtain the position information of all other nodes by receiving a hello package; when a data package arrives, a current node finds out a next hop node according to a single hop communication distance fallback mechanism and a directed route strategy, inserts the data package into a sender array by delaying different time according to a priority level, and then sends the data package out; if the next hop node does not exceed the multi-package receiving capacity of a media access control (MAC) layer in the process of receiving the data package, receiving of the data package is successful; and if the node is not a destination node, the node is used as the current node, the above process is repeated until the destination node is reached. The method of the self-organizing network directed route in the air improves the route performance of a self-organizing network in the air, and can be used in the route process of the self-organizing network in the air.