30results about How to "Optimize transmission delay" patented technology

The embodiment of the invention discloses a transmission optimization method of an AP network, a first access point receives a call message sent to a second user by a first user; the first access point acquires the communication address of a second access point belonging to the second user; and the first access point establishes a direct-connecting transmission tunnel between the first access point and the second access point to enable the first user to communicate with the second user by the direct-connecting tunnel. In the embodiment of the invention, the transmission path of the AP network can be optimized, the transmission delay is improved, the bandwidth bottleneck of a core network is eliminated and meanwhile, the cost of the core network is lowered.

The invention relates to a mixing method in multi-MCU video conversation system. Wherein, (1), all MCU register to gatekeeper, while each MCU has one-to-one connection with other MCU and each MCU maintains one connection list with other MCU and one local client list with mixing demand; (2), MCU based on local mixing client list linearly layers the voice data sent from local client, and codes and sends result to each opposite MCU; (3), MCU reduces the sent voice data from mixed result to be mixed with the decoded voice from opposite MCU, to be coded and sent to target client. The invention can reduce the transmission jump number of voice data and avoid single-point accidence of main MCU, with high reliability.

The invention discloses a Bluetooth interconnection method and system for a mobile terminal. The Bluetooth interconnection method comprises the following steps: setting a first Bluetooth at a main body of the mobile terminal and setting a second Bluetooth at a display part of the mobile terminal; inquiring a nearby Bluetooth broadcast by the first Bluetooth and detecting a corresponding Bluetooth received signal strength value, querying to at least one second Bluetooth, and judging whether a Bluetooth received signal strength value of the second Bluetooth is greater than a signal strength threshold value, if so, then transmitting a connection request signaling to the second Bluetooth by the first Bluetooth to establish a connection with the second Bluetooth, and recording a corresponding Bluetooth address; after the connection is successful, when no data or instruction needs to be transmitted, entering a low power standby state by the first Bluetooth and the second Bluetooth; and when the data or instruction needs to be transmitted, returning to an activated state again by the first Bluetooth and the second Bluetooth; therefore, after startup, a Bluetooth chip is always under a low power connection state, thus the Bluetooth response speed can be effectively improved and the Bluetooth transmission delay can be reduced.

The invention discloses a power allocation method for wireless broadcast multicast layered modulation. In the method, a transmitting end allocates power lambda P to an elementary stream, allocates (1-lambda)P to an enhanced stream and transmits the elementary stream at a first user selected rate pb and the enhanced stream at a second user selected rate pe every time, until the user rate of receiving the elementary stream is presumed to be more than or equal to a preset rate H, wherein the lambda is a power allocation factor and is more than 0 and less than or equal to 1, and P is total power for transmitting the elementary stream and the enhanced stream; and the value of the lambda is determined to be the maximum value of the lambda, wherein Cu is throughput of the enhanced stream at the transmission finishing moment, KB is system time delay at the transmission finishing moment, Cu and KB are expressions of the lambda, and H is more than or equal to 90 percent. The invention provides an optimal power allocation method, and the system performance optimization is realized.

A source position privacy protection method based on multi-phantom node strategy comprises the steps of: initializing a network, constructing a node triple, alternatively selecting phantom nodes, transmitting the source node-phantom node based on a sector area division, and keeping away from a visible range to transmit the phantom node-base station. By using the multi-phantom node idea, the method generates two phantom nodes at the same time to form a node triple; any two nodes of the node triple can be used as the alternative phantom node of the third node; moreover, in the working stage of the route, the source data packet is transmitted by combining the sector area division method and the visible range avoiding strategy; thus, the security of the source node is effectively increased by keeping away from the visible range of the source node; and, the transmission time delay and the energy consumption of the router are well controlled at the same time.

Being applicable to switching HSDPA sector, the method includes steps: RNC corresponding to base station belonging to the subzone obtains whether base station supports data retention of MAC-hs entity; RNC initiates switching request on user equipment being in switching subzones; if base station supports data retention of MAC-hs entity, then the switching request does not contain indication for resetting MAC-hs entity; otherwise, the switching request contains indication for resetting MAC-hs entity. Obtaining information whether base station supports data retention of MAC-hs entity or not, the invention makes RNC possible to select two modes for recovering data. In precondition that known base station supports data retention of MAC-hs entity, the method prefers this mode in order to improve data transmission time delay in aerial port, and raise efficiency of using aerial port. The invention also discloses a wireless network controller.

The invention discloses a ground-air full-coverage power control and protocol design method based on a centralized array antenna. According to the method, three-dimensional layouts and cruise trajectories of two unmanned aerial vehicles are optimized, the transmitting power of ground machine communication equipment is adjusted at the same time, two different convex approximation methods are combined, an original non-convex system energy efficiency optimization problem is converted into a convex problem, and optimal solution is achieved. The hovering height and the transmitting power of the unmanned aerial vehicle are reasonably set, the ground internet of things can firstly converge scene sensing data to a small access point coverage range, high-speed data uploading is achieved by fully utilizing the access bandwidth of a cellular network, and meanwhile energy consumption generated by large-range cruising of the unmanned aerial vehicle is avoided. According to the method, a space data compression process and an energy domain multi-antenna cooperative transmission process are creatively combined to realize high-energy-efficiency transmission, and an optimal parameter configuration scheme is found through experiments. The invention also provides a multi-unmanned aerial vehicle joint scheduling mechanism to guide the optimization process of the cruise trajectory of the unmanned aerial vehicle.

The invention proposes a protocol sequence channel access algorithm based on carrier interception. The algorithm comprises the steps: firstly distributing a binary protocol sequence to each network node, and reading the sequence values sequentially; secondly transmitting a data group with a non-fixed length when the current sequence value is one, and determining the moment of keeping silent according to a channel interception result when the current sequence value is zero. Compared with a conventional protocol sequence channel access mechanism, the method is more suitable for a network scene comprising various types of data businesses. Moreover, the time delay performance is remarkably superior to a p-persistence CSMA channel access mechanism.

The invention relates to a listen-before-talk parameter configuration method for load-based equipment, and the method comprises the steps: enabling a base station to configure the LBE LBT maximum execution frequency N and/or the LBE LBT maximum execution duration T for a terminal; and each time when the base station executes uplink resource allocation, the frequency of executing the LBE LBT by theterminal does not exceed the maximum execution frequency N of the LBE LBT, and/or the total time length of executing the LBE LBT by the terminal does not exceed the maximum execution time length T ofthe LBE LBT. According to the invention, the LBE LBT parameters are reasonably configured for the terminal, the delay requirements of different services and the energy consumption requirements of different terminals are met, the method can adapt to a complex dynamic interference environment, and the transmission performance of the system is improved.

The invention provides a low-delay network content transmission method, device and equipment and a medium, and the method comprises the steps: constructing a content popularity model through employing the Zipf's law, and constructing a network topology model comprising a micro base station, a macro base station and cloud; constructing a network content total time delay model, wherein the network content total time delay model comprises a model for calculating network content transmission time delay on a link and a model for calculating average stay time delay in the micro base station, the macro base station and the cloud; performing a routing decision according to a routing strategy, regarding requests for the same content as the same request, solving the average delay in the network content total delay model based on a caching strategy, and optimizing caching and the routing decision based on a solving result. The convergence effect of the same content is considered to reduce the utilization rate of the server, so the network content transmission delay is optimized, the network content distribution efficiency is improved, and the network transmission pressure is relieved.

The invention discloses an assembly line scheduling device, which comprises three physical assembly lines, two mix buffers and a bus pipe bus, and is characterized in that the three physical assemblylines are logically divided into five assembly lines, and the five assembly lines respectively correspond to five stages of processing messages in a chip, i.e., a parse stage, a bridge stage, a routerstage, a post stage and an egress stage; the two mix buffers are used for scheduling different services and then sending the different services to the corresponding logic assembly lines; and each pipeline unit pipe, the mix buffer and the pdsrc are hung on the bus pipe bus and are used for completing the interaction among the pipeline units. According to the invention, various services are optimized in the aspect of assembly line processing length, and different services can correspond to different processing lengths, so that unnecessary processing is reduced; the pipe bus is used for replacing the original connection relationship among the members of the assembly line, so that the members of the assembly line are connected more flexibly, the expandability is very high, and the new requirements in the future can be met. The invention further provides a corresponding assembly line scheduling method.

The invention discloses a method for flow controlling and sectionalization dispatching of sharing transmission channel in wireless switch-in network which comprises the steps of: obtaining just ranks and capacity ranks for every business need to be transmitted; obtaining mixing ranks according to the just ranks and capacity ranks; selecting the minimum mixing rank to transmit. Wherein the just ranks reflect the just property of each business; the capacity ranks reflect the capacity property of each business. The inventive method has the advantages of taking regard of the fairness and capacitybetween each business, of improving resource usage of system and transmission rate and delay.

The invention discloses an opportunity multicast method for high-energy efficiency unicast and multicast mixed services based on superposed codes. The method comprises the following steps of: introducing a transmission scene model of soft real-time services of mixed unicast and multicast, superposing service data of unicast and multicast by employing a coding mode of the superposed codes so as to improve the resource utilization rate of the power and the frequency spectrum; transmitting the superposed data in an opportunity multicast mode so as to meet the quality of service (QoS) requirement of the two services; and caching the soft real-time services required by a user in a short time, providing a service transmission method for the user required for the same service in the caching time through broadcast so as to improve the resource utilization rate of the system; and meanwhile, calculating to acquire an optimized selection scheme of enhancement layer service in the superposed codes so as to optimize the energy efficiency of the multicast transmission method. The QoS of various services can be effectively guaranteed, the transmission efficiency and the throughput of the system are obviously improved, and the method is suitable for multiple wireless communication networks and has good popularization and application prospects.

The invention discloses a socialized learning method for a smart city. The method comprises the following steps: constructing a layered socialized learning system; establishing a task evaluation model based on deep reinforcement learning, and optimizing the task evaluation model by using task states and channel states of all the Internet of Things devices to obtain a basic decision; the edge server utilizes federal learning edge aggregation to receive the task evaluation model, and optimizes the task evaluation model on the edge server according to the basic decision to obtain a high-level decision; the edge server uses transfer learning to guide a model in the Internet of Things equipment; and the cloud server aggregates the received task evaluation model by using federal learning cloud, formulates a municipal decision according to a high-level decision and the task evaluation model on the cloud server, and guides the task evaluation model on the edge server by using transfer learning. According to the method, federal learning is utilized to improve cooperation among intelligent agents in the layers, transfer learning is utilized between the layers to realize guidance from the upper layer to the lower layer, and the performance of the model is improved.