32results about How to "Improve the probability of successful transmission" patented technology

The invention discloses a routing method for a heterogeneous network based on cognition, mainly solving the problem that the existing method considers only part of environment factors of the network, and neglects the dynamic complexity of a heterogeneous network environment so as not to cognize and predict the environment. The method comprises the following steps: firstly, judging the types of the existing available networks, perceiving a network environment state, evaluating the network environment state by using a Q-learning method and calculating end-to-end time delay and the estimated values thereof; secondly, using a utility function based on multiple parameters to obtain the utility values of various networks according to the perceived network environment state; then selecting the network with the biggest utility value by a probability of P=0.9, and selecting other available networks as target networks by the probability of 1-P; and finally continuously transmitting businesses, implementing network switch and updating the network environment state by the target networks. The routing method improves the utilization ratio of network resources, achieves load balance of the network and can be used in the heterogeneous network environment.

The invention provides an SPMA-based hybrid channel load statistics method. The method is characterized in that a channel load is acquired from both a physical layer and a network layer; a statistical value for the channel load acquired from the physical layer is used in case of a light load; a statistical value for the channel load acquired from the network layer is used for calibration in case of a heavy load; and if the difference between the two statistical results exceeds a certain tolerance, the statistical value for the channel load acquired from the network layer is used for the calibration. The method provided by the invention has the advantages that channel conflicts can be reduced, and real-time data sending and a higher successful transmission rate for high-priority data can be ensured.

A service-aware marking method of a self-adaptive token bucket comprises the following steps: firstly, a service source terminal differentiates various specific service types containing audio and video for a multimedia service flow, and pre-mark key frames and non-key frames generated after encoding data of different service types when a network layer encapsulates the multimedia service flow; when the service flow reaches a DiffServ network portal, a port edge router respectively perform different marking processes on groups of different types according to pre-marking results; as to key groups, the probability of marking the key groups green is improved to increase the successful transmission probability thereof; and as to ordinary groups, based on a packet loss probability fed back by a network, groups marked red are caused to present even distribution or centralized distribution according to lossProfile requirements of the different services without changing the packet loss probability of a single service flow. The method can ensure the successful transmission of the key groups, help selectively mark the ordinary groups according to different service characteristic, and improve the service quality by discarding the arrangement of the ordinary groups.

The invention relates to a resource allocation method of a multi-core elastic optical network based on nodes and crosstalk perception, and belongs to the technical field of optical fiber communication. The method comprises the following steps: determining node importance according to intermediary centrality of nodes, arranging the nodes in a descending order according to the node importance, and configuring a limited spectrum converter for the ordered optical network nodes according to a certain proportion value of the number of the optical network nodes; in a route selection stage of a service request, designing a path weight calculation method considering path load and a use proportion of a limited spectrum converter in a path, and arranging candidate paths in an ascending order; in the fiber core spectrum allocation stage, adopting a fiber core grouping and spectrum partitioning method, designing a fiber core spectrum selection method considering the compactness of spectrum intervals and the number of overlapped frequency slots of the spectrum intervals, and reducing the crosstalk value between fiber cores; for the service request with failed spectrum allocation, searching the available spectrum block for the service request again through the limited spectrum converter, so the probability of successful transmission of the service is improved.

An embodiment of the invention discloses a direct broadcast method and system and associated equipment. The method comprises the following steps: a live broadcast client receives a stream pushing address sent by a live broadcast management server; the live broadcast client sends a proxy stream pushing request to a live broadcast proxy client; the live broadcast client sends the collected live broadcast data to the live broadcast proxy client; and the live broadcast data is pushed to the live broadcast sever through an uplink of a private network connected by the live broadcast proxy client. The live broadcast client can push the live broadcast data to the live broadcast sever through the uplink of the private network, thereby realizing a purpose of pushing the live broadcast data stream through the private network; and since the private network is under QoS guarantee, and the uplink broadband of the private network is wide, the live broadcast method can provide high-definition, or even4K / 8K video.

The invention discloses a train management system. The train management system comprises vehicle-mounted equipment, an aerostat, a base station, a satellite and a dispatching center, wherein the vehicle-mounted equipment is used for acquiring train data information, establishing a communication connection with one of three types communication equipment of a aerostat, a base station and a satelliteaccording to the priority from high to low, and sending train data information to communication equipment for establishing communication connection; the aerostat, the base station and the satellite are used for receiving train data information and sending the train data information to the dispatching center; and the dispatching center is used for receiving the train data information and sending the train management information to the communication equipment for establishing communication connection according to the train data information, so that the communication equipment which is in communication connection can send the train management information to the vehicle-mounted equipment. The system comprises three types of communication equipment, namely the aerostat, the base station and the satellite, the vehicle-mounted equipment is preferentially connected with the high-priority communication equipment to transmit train data information, so that the information transmission stabilityis improved, and the safety of the train is guaranteed.

An electronic device that performs a random access procedure based on mobility is provided. The electronic device includes a random access procedure to the same base station while increasing the coverage level when the mobility is low, and may abort the random access procedure when a specified number of preamble transmissions or more is performed and the mobility is high, so that the random access of the electronic device is prevented from being delayed.

The invention relates to an MIMO-based (multiple input multiple output-based) topology-transparent broadcast transmission multiple access method in an ad hoc network. By modifying the time slot structure and signal flow on the basis of MIMO-TTR (multiple input multiple output-topology-transparent reservation) protocol, the broadcast transmission can be effectively supported by the MIMO-TTR protocol in the topology-transparent network. The MIMO-based topology-transparent broadcast transmission multiple access method comprises the following steps: firstly, carrying out the time slot allocation on all the nodes in the network by the GRAND (Galois radio network design) algorithm in advance, wherein, each time slot is divided into the following stages: RTS (Request to Send), NTS (Not to Send), DATA (Data Transmission) and NAK (Non-acknowledge), and the broadcast transmission services are provided by using different MIMO data stream numbers in the four stages of the time slot; and exchanging the RTS / NTS subgroups by only one data stream at each transmitting node and each receiving node in the exchanging process, if the broadcast services are required to be transmitted by the transmitting node, the RTS subgroup is transmitted to all adjacent nodes for reservation in the allocated time slot, and if the RTS subgroup is not properly received by the receiving node, the NTS subgroup is replied to the transmitting node immediately, if the NTS subgroup is received by the transmitting subgroup, that the broadcast services cannot be transmitted in the current time slot is determined, and the next allocated time slot reservation is made, and if not, that the reservation is made is determined by the transmitting node, and the broadcast subgroup is transmitted by using all the data streams.

The invention relates to an error control method for energy capture electromagnetic nano-network. The current energy of the node is judged before each packet is sent, packet transmission is permittedwhen the energy is greater than or equal to a set detection mode energy threshold, a test packet is sent before each data packet is sent to detect that current channel condition, the channel conditionis judged according to the feedback information of the test packet received by the sending end, the channel detection is continued or the data packet is started to be sent, and after the data packetis sent, the data transmission is judged whether the data transmission is successfully received or needs to be retransmitted according to the feedback information. In this invention, the size of the tpacket is far smaller than that of the data packet, when the channel condition is poor, whether the data packet is sent or not is judged after the channel detection by the test packet, so that the utilization efficiency of node energy and the probability of the data packet successful transmission can be improved, the life cycle of the network can be prolonged, the information redundancy is low, the encoding and decoding efficiency is high, and the implementation complexity is low.

The invention provides a data transmission method, device and equipment and a storage medium, and relates to the technical field of mobile communication. The method comprises the following steps: detecting a first PDCCH according to a first physical downlink control channel PDCCH detection mode; and determining the end time of detecting the first PDCCH according to the first PDCCH detection mode according to the detection result of the first PDCCH and the first time information. According to the invention, the switching of the PDCCH detection mode is determined according to the detection result and the first time information instead of simply depending on the COT indication information, so that the problem that the UE cannot enter other channel receiving stages due to the missed detectionof the COT indication information and other reasons can be avoided, and the probability of successful data transmission is improved.

The invention provides a multi-path data transmission method and device based on partial data overlap. The multi-path data transmission method based on partial data overlap mainly comprises the following steps: confirming the starting position for requesting data of each path respectively according to the data transmission capability of each path, and confirming that the requested data of each path has the same end position; sending the request of obtaining data through each path respectively in the same data transmission cycle, wherein the request carries the starting and end positions of the requested data of each path; and aggregating the data obtained through a plurality of paths within the same data transmission cycle. According to the invention, the starting position for requesting data of each path is obtained under the condition that the probability of successful data transmission in a cycle is guaranteed, and the back parts of the data transmitted by some paths are the front parts of the data transmitted by other paths, therefore, the probability that the tail part of the transmitted data successfully reaches the client in one cycle is improved.

The invention discloses an MAC protocol for realizing time domain interference alignment based on deep reinforcement learning in an underwater acoustic network. The MAC protocol comprises the following steps: constructing a time slot division model; applying a deep reinforcement learning algorithm DQN to an underwater acoustic network MAC protocol, and achieving time domain interference alignment by training the deep reinforcement learning algorithm DQN; and scheduling node transmission by using the trained DQN. Compared with the prior art, the deep reinforcement learning method is adopted to allocate time slots for the nodes, the DQN is used to realize time domain interference alignment, and the trained DQN is used to schedule node transmission; and the DQNSA-MAC aligns interference at a non-destination node, and more interference-free time slots are reserved for transmitting and receiving messages, so that the throughput is improved. Besides, based on the trained DQN, each node can be mapped to a transmission action from a current state, so that the problem of high calculation overhead caused by large state space is effectively solved. In summary, the throughput, the successful transmission rate, the fairness and the like of the underwater acoustic network MAC protocol can be improved.

The invention discloses a MAC protocol for realizing time-domain interference alignment based on deep reinforcement learning in an underwater acoustic network, comprising the following steps: constructing a time slot model; The reinforcement learning algorithm DQN implements temporal interference alignment; the trained DQN is used to schedule node transmissions. Compared with the prior art, the present invention adopts the deep reinforcement learning method to allocate time slots for nodes, uses DQN to achieve time domain interference alignment, and uses trained DQN to schedule node transmission; DQNSA-MAC will interfere with non-destination nodes. Alignment, and reserve more non-interference time slots for message transmission and reception, thereby improving throughput; in addition, based on the trained DQN, each node can map from the current state to the transmission action, effectively solving the problem of The large state space causes the problem of high computational cost. In summary, the present invention can improve the throughput, successful transmission rate, fairness and the like of the underwater acoustic network MAC protocol.

The invention relates to an adaptive deflection routing control method for electromagnetic nano-networks. The nano-node selects the next-hop nano-node according to the routing table information, and deflects the data packet to other nano-nodes according to the deflection routing table when it is unreachable, increasing data The probability of successful packet transmission, the nanonode predicts the energy state of the next hop nanonode, and will forward it when the energy is sufficient, improving the probability of successful data packet transmission; the nanonode obtains information from the confirmation frame fed back by the next hop nanonode to update its own routing table and The routing table is deflected to dynamically adapt to changes in network load and node energy and improve network performance. The invention is simple, can carry out routing control adaptively, reduces the packet loss rate of data packets, and nodes can adaptively update their own routing tables according to the received feedback information, so as to achieve the purpose of adaptive network load and energy changes of nano-nodes, effectively Improve the performance of nanonetworks.

The invention relates to a self-adaptive deflection routing control method for an electromagnetic nano network. The nano node selects a next-hop nano node according to the routing table information, and deflects the data packet to other nano nodes according to the deflection routing table under the unreachable condition, so that the successful transmission probability of the data packet is increased, the nano node predicts the energy state of the next-hop nano node, and the next-hop nano node is forwarded only when the energy is enough, and the successful transmission probability of the data packet is improved; and the nano node obtains information from the acknowledgement frame fed back by the next-hop nano node to update the self routing table and the deflection routing table, so that the aim of dynamically adapting to the network load and the node energy change is fulfilled, and the performance of the network is improved. The method is simple, routing control can be carried out in aself-adaptive mode, the packet loss rate of the data packets is reduced, the nodes can update routing tables of the nodes in a self-adaptive mode according to the received feedback information, and therefore the purpose of self-adapting to network loads and energy changes of the nano nodes is achieved, and the performance of the nano network is effectively improved.

The invention discloses a routing method for a heterogeneous network based on cognition, mainly solving the problem that the existing method considers only part of environment factors of the network, and neglects the dynamic complexity of a heterogeneous network environment so as not to cognize and predict the environment. The method comprises the following steps: firstly, judging the types of the existing available networks, perceiving a network environment state, evaluating the network environment state by using a Q-learning method and calculating end-to-end time delay and the estimated values thereof; secondly, using a utility function based on multiple parameters to obtain the utility values of various networks according to the perceived network environment state; then selecting the network with the biggest utility value by a probability of P=0.9, and selecting other available networks as target networks by the probability of 1-P; and finally continuously transmitting businesses, implementing network switch and updating the network environment state by the target networks. The routing method improves the utilization ratio of network resources, achieves load balance of the network and can be used in the heterogeneous network environment.

Embodiments of the disclosure provide methods and apparatuses for coverage enhancement in a wireless communication system are disclosed. In a method according to embodiments of the present invention, a PHICH resource set including a plurality of PHICH resources is determined, and an ACK / NACK message is spread by using the plurality of PHICH resources, such that spreading results of the ACK / NACK message are sent to a UE in the plurality of PHICH resources.

The invention relates to a multi-point cooperative packet transmission method for a wireless multi-hop network. The method mainly includes two steps of source node packet transmission and multi-point cooperative packet transmission. First, the source node broadcasts the data packet to the neighbor nodes; then, the cluster head node is selected from the nodes that receive the data packet, and the cluster head node organizes the node that successfully receives the data packet to transfer the data packet The packet is sent to the receiving node that is closer to the destination node, and then a new cluster head node is selected from the nodes that newly receive the data packet, and this process is iterated until the destination node receives the data packet. The method reduces the data transmission delay by utilizing the broadcast characteristic of the wireless channel and multi-point coordinated transmission.

The invention discloses a multi-vehicle-based content transmission method and device in a vehicle-mounted network, and the method comprises the steps: 1, transmitting a request content to a request vehicle through a content source vehicle if the request content is obtained through querying in a preset range of a lane in the same direction; if the request vehicle is not inquired in the step 1, carrying out the following step 2: the request vehicle inquires in a predetermined range of a reverse lane in front of driving, if the request vehicle is inquired, enabling the request vehicle and the content source vehicle to respectively form a request cluster and a content source cluster with other vehicles in the predetermined range, and enabling the content source cluster to transmit the request content to the request cluster and finally transmit the request content to the request vehicle; if the request content is not inquired in the step 2 and the request vehicle is not in the coverage range of the roadside unit, carrying out the following step 3.2: enabling the roadside unit to transmit the request content to a content source cluster meeting the request vehicle according to the prediction result, and enabling the content source cluster to transmit the request content to the request vehicle. By adopting the scheme, the probability of successful content transmission is improved, and the request delay of the vehicle is reduced.

The present application provides a data transmission method, device, equipment and storage medium, which relate to the technical field of mobile communication. The method includes: detecting the first PDCCH according to the first physical downlink control channel PDCCH detection method; according to the detection result of the first PDCCH and first time information, determining to detect the first End time of PDCCH. Here, the switching of the PDCCH detection mode is no longer solely dependent on the COT indication information, but is determined based on the detection result and the first time information, so as to avoid the failure to enter the reception phase of other channels due to reasons such as the UE missing the COT indication information. problem, increasing the probability of successful data transfer.

A new cache content placement and content cache distribution optimization method in a wireless heterogeneous network. By sinking the wireless cache to the edge nodes and the user end of the wireless network, the content that may be requested by the user is cached in advance when the network load is low To the edge nodes and user terminals of the network, and then distributed to the target users, thereby effectively reducing network redundancy traffic and effectively reducing peak traffic. At the same time, the successful transmission probability expression is derived, and the cache content distribution is optimized with the goal of maximizing the successful transmission probability. The optimized content cache distribution not only greatly improves the probability of successful transmission, but also avoids the problems of redundant network traffic, network congestion and overhead waste caused by repeated distribution of the same content.

*The invention provides a symbiotic radio intelligent anti-interference method based on deep reinforcement learning, a symbiotic radio network comprises a transmitter, a receiver and an interference unit, and the method comprises the following steps: in each time slot, the transmitter selects an action to interact with an environment according to a sensed state; the transmitter receives an award and senses a next state, wherein the award is used for representing a successful transmission probability; obtaining a preset DDQN model, and determining an action value corresponding to the action by searching an optimal action value function Q * (s, a) through the DDQN model; and judging whether the action value is an optimal action value or not, and outputting an optimal reward value when the action value is the optimal action value. The adversarial between the DDQN-based simulated symbiotic radio network and the jammer and the Q network are realized by using a Transformer encoder so as to effectively estimate the action value from the original spectrum data, and the method can effectively defend various interference attacks, so that the successful transmission rate of a communication system is improved to the greatest extent.

The invention relates to an error control method for an energy-harvesting electromagnetic nano-network. Before each data packet is sent, the current energy of a node is judged. When the energy is greater than or equal to the set detection mode energy threshold, the data packet is allowed to be sent. Before each data packet is sent, a test packet is sent to detect the current channel condition, and the channel condition is judged according to the test packet feedback information received by the sending end, and it is determined to continue channel detection or start sending a data packet, and after the data packet is sent, according to the feedback The information determines whether the data transmission is successfully received or needs to be retransmitted. In the present invention, since the size of the test packet is much smaller than the data packet, when the channel condition is poor, the test packet is used for channel detection and then it is judged whether to send the data packet, which can improve the utilization efficiency of the node energy and the probability of successful transmission of the data packet. The life cycle of the network is extended, the information redundancy is low, the encoding and decoding efficiency is high, and the implementation complexity is low.

Embodiments of the present invention disclose a live broadcast method, system and related equipment. The method of the embodiment of the present invention includes: the live streaming client receives a streaming address sent by the live streaming management server, the live streaming client sends a proxy streaming request to the live streaming proxy client, and the live streaming client sends the collected data to the live streaming client. The live broadcast data is sent to the live broadcast proxy client, and the live broadcast data is pushed to the live broadcast server through the uplink of the private network to which the live broadcast proxy client is connected. It can be seen that the live broadcast client can push the live broadcast data to the live broadcast server through the uplink of the private network, realizing the purpose of pushing the live broadcast data stream through the private network, and the private network is guaranteed by QoS, and the uplink broadband of the private network is realized. wider, so that the live broadcast method shown in this embodiment can provide high-definition, even 4K / 8K video quality.

The invention discloses a packet scheduling method based on statistical load in competitive multiple access, which mainly solves the technical problems of the existing channel load jitter and the probability of successful packet transmission decreasing. The implementation steps are as follows: 1) The node starts up and counts the high-priority packet load; 2) According to the interruption period, it is judged whether the node enters the interruption of the calculation scheduling time interval, if it is performed in step 3), otherwise it is performed in step 5); 4) calculate the low-priority packet scheduling interval according to the low-priority packet traffic and the remaining bandwidth; 5) judge whether the node enters the transmission interruption according to the transmission interruption condition, if so, perform step 6), otherwise , return to 2); 6) The node schedules packets according to the scheduling time interval, and accesses these packets to the channel. The invention reduces packet collision and load jitter in the channel, effectively improves the probability of successful packet transmission, and can be used for packet transmission.

When receiving data transmission request from up layer of network, node generates a random number to initialize tag of retreat time. The node detects channel. If the channel is busy, then the node keeps value of the tag unchanged; otherwise, the tag of retreat time subtracts one time unit. When the value of the tag reaches to zero, the node sends data to the target node, and waits for an acknowledgement frame from the target node. If the said acknowledgement frame is received within setting time, then the data transmission is completed; otherwise, the node regenerates a random number to initialize tag of retreat time. If receiving a data frame, node stops channel detection, and sends an acknowledgement frame to source node of the data frame. Channel detection is recovered. Features are: increasing throughput of network, preventing deadlock, raising usability of energy at node, and simplifying complexity of media access control protocol.