149results about How to "Low latency requirement" patented technology

The present invention discloses a discontinuous reception method and a terminal device. The method includes the following steps that: target to-be-transmitted data which are required to be transmitted through an uplink grant-free transmission resources are determined at the terminal device; when it is determined that the terminal device is configured with discontinuous reception and in a sleep state, the terminal device enters an active state; and the terminal device can transmit the target to-be-transmitted data to a network device through the uplink grant-free transmission resources. With the discontinuous reception method provided by the embodiments of the invention adopted, even if the terminal device is in the sleep state, it can be effectively ensured that the terminal device can transmit the target to-be-transmitted data, and therefore, the energy of the terminal device can be saved, and at the same time, low time delay in the transmission process of the target to-be-transmitted data can be ensured, and the timely transmission of the target to-be-transmitted data can be realized.

The disclosure relates to a scheduling request transmission method suitable for user equipment, and the method includes determining whether a first time frequency resource of a physical uplink controlchannel of the user equipment for transmitting a scheduling request and a second time frequency resource of an uplink shared channel of the user equipment for transmitting data overlap in time domain; and if an overlap exists, transmitting the scheduling request through the second time frequency resource. According to the scheduling request transmission method provided by the embodiment of the disclosure, under the circumstance that the first time frequency resource of the physical uplink control channel of the user equipment for transmitting a scheduling request and the second time frequencyresource of the uplink shared channel of the user equipment for transmitting data have an overlap in time domain is determined, the scheduling request can be transmitted through the second time frequency resource of the physical uplink control channel, thereby obtaining uplink resources through the scheduling request as soon as possible to transmit a caching state report, and ensuring a requirement of a first service for relatively low time delay.

The invention discloses a resource allocation control method for an unmanned aerial vehicle assisted Internet of Things communication device, which comprises the following steps of: collecting sensorinformation by using an unmanned aerial vehicle as a movable air control center, and sending a corresponding command signal to an actuator at the same time. According to the Internet of Things communication network, a novel limited code length ultra-reliable low-delay communication transmission mode is adopted, and the low-delay requirement of a system is met at the same time under the condition that the reliability of communication is guaranteed; different from the traditional Internet of Things system, the unmanned aerial vehicle has flexible mobility and controllability and has a better wireless channel environment with the Internet of Things nodes, so that the communication reliability can be greatly improved, the resource utilization rate and efficiency of the system are maximized, and the performance of the whole system is improved.

The embodiments of the invention disclose a data processing method, device and system. The data processing method comprises the steps that a terminal device receives first configuration information sent by a network device, wherein the first configuration information comprises preemption indication information, and the preemption indication information indicates the preemption capability of a first logical channel; before an MAC layer PDU is multiplexed or the multiplexed MAC layer PDU is transmitted to a physical layer and when the MAC layer is provided with a first data unit, the terminal device preempts resources, which are allocated for a second data unit by the terminal device, for the first data unit according to the preemption indication information, wherein the first data unit corresponds to the first logical channel; the second data unit corresponds to the second logic channel; the terminal device uses the preempted resources to multiplex the first data element. Therefore, timely transmission of important data is guaranteed, and the requirement of low time delay is met.

Embodiments of the present invention disclose a resource application method and apparatuses. The method comprises the steps of sending business information of low time delay to a network control unit; and receiving resource allocation information, wherein the resource allocation information is generated in resource allocation by the network control unit according to the business information of low time delay.

The embodiment of the invention discloses a random access method, equipment and a system. The random access method comprises the steps that: terminal equipment sends a first preamble to access networkequipment; the terminal equipment receives a random access response message sent by the access network equipment, wherein the random access response message comprises backoff indication and parameterinformation; the backoff indication indicates a time value; the parameter information is used for determining the waiting time by the terminal equipment; the terminal determines the waiting time according to the backoff indication or the backoff indication and the parameter information; and the terminal equipment sends a second preamble to the access network equipment after delaying the first time. Thereby, the terminal equipment can initiate random access according to random access priority requirements; and thus, low-delay requirements are satisfied.

The invention provides a resource request method and device and a resource allocation method and device. The resource request method comprises the steps of receiving one or more pieces of semi-persistent scheduling (SPS) configuration information; sending resource request information; and receiving SPS resource allocation information configured by a network control unit according to the resource request information. According to the invention, a problem of excessive time delay generated by SPS in the related art is solved, and thus a low time delay requirement of services is met.

The present disclosure relates to a scheduling request transmission method, which is applicable to a user equipment. The method includes: determining, by the user equipment, a scheduling request corresponding to a logical channel by using a physical uplink control channel, and whether other operations of the user equipment are in a time domain. There is overlap; if it is determined that there is overlap, the other operations are stopped, and the scheduling request corresponding to the logical channel is transmitted through the physical uplink control channel. According to the embodiment of thepresent disclosure, when the user equipment determines that the scheduling request corresponding to the logical channel is transmitted through the physical uplink control channel, and other operations overlap in the time domain, other operations may be stopped, and the physical uplink control channel is transmitted. The scheduling request corresponding to the logical channel, so as to request theuplink resource to transmit the buffer status report as soon as possible by the scheduling request, and ensure the requirement of the service corresponding to the logical channel for the lower delay.

The invention discloses a storage system QoS (quality of service) control method and device. The method includes the steps: receiving IO (input output) requests of users for a storage system; calculating reserved time tags corresponding to the IO requests for time of the received IO requests of the users, and storing the IO requests into an IO request set; screening the IO requests with the reserved time tags not larger than current time in the IO request set in sequence from high to low priority of the corresponding users according to pre-deployed user priority information, and outputting the screened IO requests from the IO request set to process the IO requests. According to the technical scheme, QoS is controlled by a QoS algorithm in the storage system, a priority mechanism is introduced, high priority is distributed for some key businesses with high delay requirements, and normal operation of the key businesses is ensured.

The invention provides a data transmission method, a client device and a server device. The method comprises the steps that first downlink control information related to uplink transmission is received; the indication information of uplink and downlink transmission areas is acquired; according to received first downlink control information and the acquired indication information of uplink and downlink transmission areas, uplink transmission is carried out in the uplink transmission area of a subframe n; and downlink receiving is carried out in the downlink transmission area of the subframe n, where n is an integer. According to the scheme, in the pre-scheduled subframe used for uplink transmission, the downlink transmission area used for downlink transmission is also included; when downlink transmission is required, a downlink service can be transmitted in time in the downlink transmission area; and based on the existing LTE framework, the low delay data transmission scheme is realized to meet the requirements of a low delay service.

The present invention discloses a multicast route method of a mobile self-organizing network system. The method of the present invention is put forward against the prior art that the present multicast route method can not satisfy the self-organizing network with rapidly moving nodes, and the method comprises the steps as follows: a node regularly sends a HELLO message to perform detection and update of a neighbor node; a source node performs a route orientation prediction by using geological position of the node; the source node obtains positional information of a multicast group object node,then adds object node ID and the positional information into a data head object node domain, and sends a DATA message; and other nodes determine how to forward the data according to the head information. The present invention puts forward a data transmission guiding mechanism based on positional information prediction, and applies a delay tolerance technology to the network, therefore in an environment where the nodes move rapidly and topology changes quickly, the method of the present invention can raise use efficiency and data delivery rate of network data transmission with the preconditionthat the requirement of low time delay for the network is satisfied.

The embodiment of the invention discloses communication methods and device in a wireless network and a system. The communication method in the wireless network comprises the following steps: terminalequipment establishes dual connection with first access network equipment and second access network equipment, wherein the connection between the terminal equipment and the first access network equipment contained in the dual connection is radio resource control (RRC) connection; the terminal equipment receives first configuration information sent by the first access network equipment, wherein thefirst configuration information comprises signaling radio bearer (SRB) configuration information of the second access network equipment and a triggering condition for starting the SRB configuration information; and when the triggering condition is satisfied, the terminal equipment starts the SRB configuration information of the second access network equipment to establish the RRC connection withthe second access network equipment. The recovery of a dual connection working mode is accelerated, and a demand for low delay is satisfied.

The invention discloses a wireless sensor network based micropower meter reading system and device. Each micropower wireless transmitting-receiving module is connected with intelligent electricity meters via RS485 wires, collects, packs and encodes power utilization information in the intelligent electricity meters, and transmits the information to a meter reading concentrator via a short range communication network; and the meter reading concentrator packs and encodes different packed data, in different periods, received from at least two micropower wireless transmitting-receiving modules, and sends the packed and encoded data to a data center via a remote communication network within prescribed time. A wireless sensor network media access control protocol is fused with a network clock synchronization mechanism, and the work state of an RF communication module is changed to improve the energy efficiency of the whole system on the basis that coordinated work and wakeup period of nodesin the network are controlled accurately.

The invention provides Internet of Things service unloading decision-making methods based on edge computing and deep reinforcement learning, and belongs to the technical field of internet-of-things application. According to the Internet of Things service unloading decision-making methods, the Internet of Things is constructed into SDIoT containing a plurality of regions, wherein the regions comprise region SDN controllers configured with service unloading decision-making models, and the region SDN controllers output service unloading decisions of an intelligent service in the regions accordingto the configured service unloading decision-making models. According to the invention, the inherent network structuralization problem in the traditional IoT is solved, the SDN technology is utilizedto separate a network control plane from a data forwarding plane, the whole network centralized view is obtained, the network security performance is ensured, and the powerful resource management andcontrol arrangement capability brought by a programmable interface is further obtained.

A method, an apparatus, and a device for merging model prediction values are disclosed. The method for merging model prediction values comprises: based on a given number of samples, binning a prediction value of an online prediction model and a prediction value of an off-line prediction model respectively according to a set binning method; according to a binning result, converting the first prediction value of each sample into a first interval feature corresponding to the interval in which the first prediction value is located, and converting the second prediction value of each sample into a second interval feature corresponding to the interval in which the second prediction value is located; and taking the first interval feature, the second interval feature and a sample tag correspondingto each sample to form converted sample data, and using the converted sample data to train the model, wherein the trained model is used to merge the prediction value of the online prediction model andthe prediction value of the off-line prediction model to obtain a final prediction value.

The invention relates to the technical field of wireless communication and discloses a semi-persistent scheduling method, base station equipment and user equipment. The semi-persistent scheduling method comprises the following steps: sending configuration information of semi-persistent scheduling parameters to user equipment (UE), so that the UE performs semi-persistent scheduling data transmission based on the configuration information; and then performing semi-persistent scheduling data transmission based on the configuration information of the semi-persistent scheduling parameters. According to the method provided by the embodiment of the invention, the low delay requirement of URLLC can be met, a conventional semi-persistent scheduling transmission mechanism can support a higher low delay requirement, and meanwhile, a plurality of semi- persistent scheduling configurations are introduced and different time-frequency resources are allocated to the respective semi-persistent scheduling configurations, so that various services can be supported at the same time.

The invention discloses a fog computing migration method with the minimum completion time in an Internet of Things scene, and the method comprises the following steps that S1, a fog sensing computingarchitecture which comprises a sensing layer and a fog layer which are communicated with each other, is designed; S2, the sensing nodes in the sensing layer send the calculation requests to the fog nodes in the fog layer and transmit the data to the corresponding fog nodes; S3, the fog node in the fog layer receives the calculation request from the corresponding sensing node and executes a calculation task, and when the calculation task on the fog node is overloaded, the fog node migrates part of the calculation task to the adjacent idle fog node; and S4, the fog nodes in the fog layer feed the processing results back to the sensing nodes in the sensing layer. According to the method, the resource distribution condition with the minimum task completion time can be solved, the requirementsof computing intensive users for low delay are met, and the user experience quality is improved.

The invention relates to a blind equalization method in satellite demodulator, which is an improvement on the existing minimum mean-square, the algorithm of the invention is as follows: wRk(n+1) equals to wR)k(n) minus eta (cR(n) multiplied by sign(eR(n))sign(xR(n-k)) plus cI(n) multiplied by sign(eI(n))sign(xI(n-k))), wIk(n +1) equals to wIk(n) plus eta (cR(n) multiplied by sign(eR(n))sign(xI(n-k))-cI(n) multiplied by sign(eI(n))sign(xR(n-k)) ), wherein cR(n)equals to (dR(n))<2>, cI(n) equals to (dI(n))<2>, eta is a stepping constant, the function sign is a symbol-fetching function; when the blind equalization method of the invention is adopted, the hardware scale of the existing blind equalization devices can be simplified, the multiplier can be dispensed, the computation volume is reduced, the computing capability is greatly improved, and the sequence sending can be correctly restored in real time for signal inputting.

Before an edge server provides auxiliary calculation, the influence of uplink transmission time delay, calculation time delay and downlink transmission time delay on the total time delay is comprehensively considered, and current limited resources of the system are optimally allocated to each mobile terminal, so that the total time delay for executing all user tasks is reduced. Particularly, underthe condition that the sizes of downlink data of some scenes are relatively large and cannot be ignored due to technical development at present, the total time delay of all tasks corresponding to thetask execution request can be minimized, and the total time delay of all tasks corresponding to the task execution request can also be minimized under the condition that the size of downlink data isrelatively small, so that the low-time-delay requirements of users in different scenes can be efficiently met, and the user experience is improved.

The invention provides a load-known user association method based on potential game. A heterogeneous network used by the method is composed of a macro cell constructed by Ma high-power macro base stations and a large number of randomly distributed micro base stations, a UDN is composed of a user set omega UE and a base station set omega BS, a strategy set is generated for a user at first, a user association result is initialized, the user association result is output by satisfying a potential game condition through a game model, the potential game can achieve the Nash equilibrium by maximizinga local decision function, and each user selects the maximum uu strategy solving formula and defines a user association problem. By adoption of the load-known user association method provided by theinvention, the network throughput and the load balance can be improved under the premise of satisfying the user QoS requirements, and the load-known user association method can adapt to different network requirements.

The invention provides a communication method for data transmission in Internet of Vehicles V2X and related equipment. The method comprises the following steps: 1, ; the first terminal device receivesfirst information from the first wireless access network device, wherein the first information comprises service information of a service of the first terminal device and a resource configuration mode of a sidelink; wherein the service information and the resource configuration mode of the sidelink have a corresponding relationship, the first terminal device transmits data corresponding to the service information on a transmission resource of the sidelink configured according to the resource configuration mode based on the corresponding relationship, and the service information can be reliability information. By implementing the method, the transmission of the service data with high reliability requirement can be ensured, and the transmission reliability requirement and the transmission time delay of the service data can also be considered.

The embodiment of the invention discloses a video file data transmission method based on ad hoc network, which comprises the following steps that: error-resilient coding is performed for a video file to be transmitted; forward error correction (FEC) codinge is used for the video file which is already processed in the error resilient coding; a two-circuit priority transmission method and a grading priority scheduling method are used for performing the data scheduling processing on the video file after the EFC coding; and the video file after the data calling processing is transmitted in a physical layer on the basis of bit stream. Due to the adoption of the design, the wireless network is better suitable for the transmission of multimedia data; by adopting the improved two-circuit routine transmission method, the routing selection can be more intelligently executed according to the specific requirement of the service, and when the requirement on the time delay is smaller, data with small time delay can be adopted for strict data; and when the time delay is not large, a more reliable router can be used for transmitting the data.