8499 results about "5G" patented technology

The dynamic bandwidth allocation and resource scheduling method based on the 5G network comprises the steps that S1, a base station collects service requests, network loads and channel information of user equipment of the 5G network, and the services are divided into real-time services, big data services, key services and conventional services; s2, the real-time service calculates the bandwidth by using deep learning; the big data service is distributed according to the idle bandwidth and the data volume proportion; key service main and standby links distribute bandwidths; conventional businesses come first and then are subjected to service distribution; s3, the base station maps bandwidth resources by using a multi-carrier and dynamic subcarrier algorithm, and optimizes signal transmission in combination with a beam forming technology; s4, processing service data according to a priority scheduling queue, and verifying signal transmission according to a channel quality adjustment coding mode; and S5, updating the data and evaluating the effect according to the user feedback, and re-optimizing the scheduling strategy as required. Through intelligent dynamic bandwidth allocation and resource scheduling, efficient, flexible and reliable transmission of different types of services is realized, and the network resource utilization rate and the service quality are improved.

The present disclosure relates to a communication technique which combines a 5th generation (5G) communication system for supporting a higher data transmission rate beyond a 4G system with an internet of things (IoT) technique and a system thereof. The present disclosure may be applied to intelligent services (e.g., a smart home, a smart building, a smart city, a smart car or a connected car, health care, digital education, retail business, security and safety related services, etc.) based on 5G communication technology and IoT related technology. According to various embodiments of the present disclosure, in a wireless communication system, a terminal may include at least one transceiver and at least one processor coupled with the at least one transceiver, the at least one processor may be configured to receive system information from a cell of a base station, determine whether the cell supports new radio (NR) lite, based on the system information, and if the cell supports the NR lite, perform a random access procedure for the cell, and for the terminal performing the NR lite, at least one of a subcarrier spacing (SCS), a transport block (TB) size, or a bandwidth part (BWP) is reduced to a designated value, compared to other terminal not performing the NR lite.

The invention discloses a heterogeneous encrypted multi-mode multimedia message real-time fragmentation transmission method for a 5G network, and relates to the technical field of multimedia transmission optimization. According to the heterogeneous encryption multi-mode multimedia message real-time fragmentation transmission method for the 5G network, the fragmentation granularity and priority are optimized through a reinforcement learning algorithm by obtaining the sensitive label and the value density of multimedia data and combining the 5G slice resource state. And dynamically selecting an encryption algorithm cluster according to a fragmentation rule, and realizing cross-slice key distribution and updating by using an alliance chain. On the basis of space-time relevance of multi-modal data, a fountain code driven redundant coding strategy is constructed, and a fragment transmission path is optimized in combination with a game theory model. And finally, analyzing a transmission flow characteristic and a key distribution log, and dynamically adjusting an encryption strength threshold value and a fragment retransmission strategy. According to the method, the security, the reliability and the transmission efficiency of the multimedia data in the 5G network are improved, and the method is suitable for a multimedia communication scene with low time delay and high reliability.

The present disclosure relates to a communication scheme and system therefor for converging an Internet of things (IoT) technology with a 5th generation (5G) communication system for supporting a higher data rate after a 4th generation (4G) system. The present disclosure is applicable to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, health care, digital education, retail, security and safety-related services, or the like) based on 5G communication technology and IoT-associated technology. The present disclosure discloses a method of measuring and reporting interference in a wireless communication system.

The invention discloses an Internet of Things data transmission optimization system based on intelligent routing, and relates to the technical field of data transmission optimization. The heterogeneous network access module supports adaptive switching of multiple protocols such as 5G, NB-IoT and LoRa, and monitors link quality; intelligent routing decision selects an optimal path by means of deep reinforcement learning, and end-to-end delay is reduced; data distribution scheduling split data streams are transmitted in a multi-path parallel mode, and forward error correction is combined to guarantee reliability. The network state prediction uses an LSTM to predict bandwidth, and a route is adjusted in advance; the secure transmission integrates iris authentication and dynamic encryption. According to the invention, efficient, reliable and secure transmission is cooperatively realized, energy collection and dormancy strategies are combined, the equipment endurance is greatly prolonged, the network energy consumption is reduced, and the method is suitable for industrial control, telemedicine and other scenes with high requirements on real-time performance and reliability.

The invention relates to the technical field of vehicle-mounted 5G communication, in particular to a cooperative self-adaptive anti-interference 5G communication system and method based on spectrum sensing, and the system comprises a spectrum sensing module which is used for carrying out spectrum sensing, automatically detecting the interference condition of each frequency band in a wireless channel, and generating sub-band interference information; the interference avoidance module is used for selecting a frequency band with the minimum interference according to the sub-band interference information; the dynamic bandwidth adjusting module is used for dynamically adjusting the working frequency band to the frequency band with the minimum interference according to the real-time channel quality condition; the subcarrier intelligent distribution module is used for identifying and eliminating subcarriers influenced by interference; and the reinforcement learning modulation and coding module is used for dynamically adjusting modulation and coding strategies through real-time channel quality state feedback. According to the scheme, the anti-interference capability of the vehicle-mounted 5G communication system can be improved when the vehicle-mounted 5G communication system faces various interference sources, and the stability and reliability of communication are enhanced.

The invention relates to a 5G network slice dynamic scheduling method and system based on multi-modal space-time perception and an event knowledge graph, and belongs to the technical field of mobile communication network resource management. According to the method, the change of a physical scene is sensed in real time by constructing a dynamically evolved event knowledge graph and designing a double-flow space-time cross network in combination with visual semantic analysis; dynamically adjusting the resource prediction model by adopting an event-scene dual-drive mechanism, dynamically adjusting parameters of the gated recurrent neural network through an elastic adjustment factor, and optimizing a multi-target resource allocation strategy based on a reinforcement learning algorithm; a two-stage resource scheduling mode is adopted, non-preemptive resource allocation of priority guarantee is implemented in an event triggering stage, and an optimization strategy of continuous adjustment is deployed in a steady-state stage. According to the method, the resource utilization efficiency and the service quality in a high-concurrency scene are remarkably improved, the method is compatible with an O-RAN standard interface, and the method is suitable for high-reliability and low-delay communication scenes such as smart cities and industrial internet.

The invention discloses an intelligent mine supervision system based on 5G communication and a supervision method thereof, and the method comprises the following steps: the system collects environment parameters, equipment states and personnel behavior data through sensing nodes disposed in a mine region, and carries out the real-time evaluation of a high-risk region through the calculation of a pressure factor; and dynamically adjusting the acquisition frequency, range and collaborative mode of the sensing network, generating a risk distribution diagram, predicting the change trend of a high-risk area by the system, allocating resources in real time based on gradient change, optimizing the task allocation and coverage range of sensing nodes, and supporting dynamic setting of an early warning threshold by the system, and when a pressure factor reaches the threshold, performing early warning. The method comprises the following steps of: receiving an emergency instruction, triggering an emergency response, generating an equipment operation mode adjustment, personnel evacuation path optimization and task redistribution instruction, distributing the emergency instruction in real time through a 5G network, continuously optimizing node distribution and a risk prediction model in combination with feedback data and historical data, and realizing intelligence, real-time performance and high efficiency of mine supervision.

The invention discloses a method for realizing data communication by a multi-band adaptive antenna based on 5G communication. The method comprises the steps of dynamic sensing and multi-mode signal fusion, multi-band intelligent analysis, hybrid beam forming and dynamic reconstruction, cross-layer parameter joint tuning, real-time monitoring and self-learning compensation, multi-band adaptive switching and fault diagnosis and error calculation. The problems that in traditional 5G communication, the antenna frequency band is fixed, the beam adjusting capacity is limited, the anti-interference performance is poor, and the communication performance is unstable in a complex environment are solved. According to the method, the channel state is accurately evaluated and predicted through fusion of the extended Kalman filtering algorithm and the convolutional neural network, and frequency band resources are intelligently allocated and optimized through the deep Q network DQN and the non-orthogonal multiple access NOMA principle, so that omnibearing optimization and management of the antenna are realized, the communication efficiency and stability are improved, and the method is suitable for large-scale popularization and application. And the efficient and stable operation of the communication system in various complex environments is ensured.

The invention relates to the technical field of 5G networks, in particular to a 5G network intelligent optimization method and system, and the method comprises the steps: obtaining 5G network signal data, recognizing an abnormal power spectral density region, carrying out the filtering extraction of the abnormal power spectral density region, and separating interference signals, interference types including narrowband interference, broadband interference and directional interference; extracting features from the obtained interference signals, and performing interference type identification according to a random forest algorithm; starting a corresponding anti-interference means according to the interference type, and generating operation state data in real time; a bee colony algorithm is adopted to simulate bee behaviors for iterative search, and a local optimal resource scheduling strategy is determined; and executing the resource scheduling strategy, feeding back an execution effect, and restarting the bee colony algorithm to determine a new resource scheduling strategy if the execution effect does not reach a set expectation. Therefore, the problems of lack of dynamic adaptive adjustment, single anti-interference means, lack of cross-base station collaboration and the like in the anti-interference aspect in the prior art are solved.

The present disclosure relates to a communication technique and system for combining an IoT technology with a 5G communication system for supporting a higher data transfer rate than a 4G system. According to an embodiment of the present invention, a method of a terminal supporting subband non-overlapping full duplex (SBFD) in a wireless communication system may comprise the steps of: receiving time duplex division (TDD) resource configuration information and SBFD resource configuration information from a base station; determining respective indexes of first random access channel (RACH) occasions that are commonly valid in the TDD resource configuration information and the SBFD resource configuration information; and determining respective indexes of second RACH occasions that are invalid in the TDD resource configuration information and are valid in the SBFD resource configuration information.

Systems and methods for operating a 5G NR. In particular, a reduced capability (RedCap) user equipment (UE) can be configured to traverse a synchronization raster to locate a cell-defining synchronization signal block (CD-SSB). The CD-SSB can be used to derive, calculate, or otherwise obtain time / frequency information of a non-cell-defining synchronization signal block (NCD-SSB) which may be monitored and / or measured by the RedCap UE in a more power efficient manner.

According to the 5G portable WiFi signal enhancement method and system provided by the invention, surrounding environment data are collected through an environment sensing sensor, and a device placement scheme is optimized in combination with a deep learning algorithm, so that the signal coverage range is expanded; the strategy of dynamically adjusting the transmitting power, the signal frequency and the modulation mode can optimize the signal strength according to the environmental change; interference signals are analyzed through quantum calculation, null is formed through the beam forming technology, interference signal receiving is effectively restrained, and the signal strength in the target direction is enhanced. In combination with the Internet of Things technology, uploading equipment state data to an edge server in real time for big data analysis, and pushing a personalized signal enhancement scheme according to different user use environments; through precise placement guidance and a dynamic frequency band switching strategy, a user can enjoy smoother network connection in a use process, and good signal quality is ensured to be kept in a complex environment. According to the invention, not only can the signal quality of 5G portable WiFi be improved, but also more intelligent and personalized network experience can be provided for users.

The invention discloses an edge computing assisted wireless communication system, which relates to the technical field of edge computing, and comprises an edge computing node cluster which is deployed at a base station and an access point and provides distributed computing and storage capability; the resource sensing module is used for monitoring computing resources, communication resources and task queue states of the edge nodes in real time; the dynamic scheduling controller is used for dynamically deciding a task unloading path based on reinforcement learning and game theory algorithms, wherein the task unloading path comprises local processing, edge node cooperative processing, cloud unloading and global time delay and energy consumption optimization; the cross-layer communication interface supports multi-protocol fusion of 5G NR and Wi-Fi 6, and realizes low-delay data interaction between edge nodes; and the security verification module is used for ensuring credibility and integrity of data between edge nodes through a lightweight block chain and a TEE (Trusted Execution Environment). According to the invention, through a hybrid decision framework of reinforcement learning and game theory, the problem that a single algorithm in a traditional scheme cannot give consideration to dynamic environment adaptability and multi-node benefit coordination is solved.

The invention discloses an adaptive protocol stack reconstruction and transaction-level data control method for 5G communication, and aims to solve the technical problems of fixed protocol stack structure, coarse transmission control granularity and the like of an existing communication module. The method comprises the following steps: firstly, analyzing an application layer communication session initialization instruction, generating a communication task label, acquiring 5G network environment state data in real time, and constructing a network state feature vector; then, the communication task label and the network state feature vector are input into a protocol mapping decision map, a protocol reconstruction instruction is generated, loading and unloading of a protocol module in a protocol stack resource pool are controlled, a dynamically-adaptive protocol path is constructed, and a transaction identifier is allocated to the protocol path; and establishing a transaction-level data buffer area based on the transaction identifier, performing priority marking on the data packet, and executing differentiated dynamic flow control operation according to the network state feature vector and the priority label, thereby realizing high-reliability and low-delay 5G communication data management.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to: a communication technique merging IoT technology with a 5G communication system for supporting a data transmission rate higher than that of a 4G system; and a system therefor. The present disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, small business, security- and safety-related services, and the like) on the basis of 5G communication technology and IoT-related technology. According to various embodiments of the present disclosure, a method performed by a base station in a wireless communication system comprises the steps of: receiving terminal capability report information from a terminal; transmitting, to the terminal, an upper layer parameter determined on the basis of the terminal capability report information; receiving, from the terminal, a sounding reference signal (SRS) determined by means of the upper layer parameter; determining downlink control information (DCI) for scheduling a physical uplink shared channel (PUSCH) on the basis of the SRS; transmitting a signal including the DCI to the terminal; and receiving the PUSCH and an uplink (UL) phase tracking reference signal (PTRS) from the terminal.

The invention overcomes the constraints imposed by conventional wireless communication standards by introducing a physical-layer optimized architecture that decouples transmission control from any single protocol. Rather than being confined by the predefined behaviors of LTE, 5G NR, Wi-Fi, or NB-IoT, the system implements a unified control system that dynamically manages radio parameters—such as modulation, coding, and power—based on real-time link quality and network context. This cross-standard, multimode capability effectively supersedes traditional standard-driven implementations, enabling adaptive, low-latency, and spectrum-efficient communication in complex heterogeneous environments.The system dynamically controls radio access network (RAN) and physical layer parameters, including carrier aggregation, dynamic spectrum allocation, modulation and coding scheme (MCS) adaptation, beamforming configuration, channel coding, transmit power control, and frequency selection. The system architecture includes multi-mode base stations, relay nodes, and edge access points that support inter-RAT handover, fast radio link recovery, and seamless mobility across diverse wireless technologies.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transfer rate. The present disclosure relates to a method performed by a terminal in a wireless communication system. Provided according to various embodiments of the present disclosure are a method and a device which can quickly activate cells in a next-generation mobile communication system.

The invention discloses an industrial equipment intelligent operation and maintenance management system and method based on 5G-MOM, and belongs to the technical field of industrial internet and intelligent manufacturing. The system comprises a multi-source heterogeneous data acquisition layer deployed in industrial equipment, an edge computing node cluster based on 5G, a cloud intelligent analysis platform and a man-machine collaborative operation and maintenance terminal. The method comprises the following steps of collecting equipment vibration, temperature and current multi-dimensional working condition data in real time through a 5G network; performing data cleaning and feature extraction by using edge computing nodes, and constructing an equipment operation digital twin model; a cloud deep neural network is adopted to carry out fusion analysis on the multi-dimensional time series data, and self-adaptive diagnosis and residual life prediction of a fault mode are realized; a dynamic maintenance strategy is generated based on an MOM system, and field personnel are guided to execute precise maintenance through an AR terminal. According to the invention, 5G ultra-low time delay communication and an industrial mechanism model are creatively combined, and real-time visual management and predictive maintenance decision optimization of the equipment health state are realized.

The invention relates to the technical field of communication, in particular to an underground power distribution room communication system and method based on heterogeneous network and multi-modal fusion, and the system comprises a three-dimensional heterogeneous network cooperation module, a cross-modal feature fusion module, a dynamic routing decision engine module, a self-adaptive interference suppression system and a cross-layer cooperation optimization module. The three-dimensional heterogeneous network cooperation module comprises a 4G / 5G wireless communication sub-layer, a power line carrier communication sub-layer and an edge computing management sub-layer; the cross-modal feature fusion module comprises a multi-modal encoder group, a shared feature projection layer, a twin network structure and a cross-modal attention fusion module; and the dynamic routing decision engine module comprises a state space monitoring unit, a routing optimization unit and a millisecond-level path switching strategy. Through the arrangement, the reliability, the real-time performance and the energy efficiency of communication of the underground power distribution room are systematically improved, and a high-robustness communication infrastructure is provided for an intelligent power grid.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments of the disclosure provide a communication method, a user equipment, a base station, and a storage medium. The method includes: determining at least two kinds of periods of a signal; and receiving or transmitting the signal based on the at least two kinds of periods. Embodiments of the disclosure can reduce a proportion of periodic signals, thereby reducing power consumption of a communication base station.

The invention provides a time division duplex multi-carrier synchronous transmission method based on 5G, which is used for solving the problems of inflexible carrier time slot allocation and inaccurate time delay compensation in synchronous transmission. By dynamically adjusting time slot allocation and working frequency bands of carriers in a network control center, the method optimizes network loads and reduces cross interference; the time delay of each carrier is compensated in real time by adopting a synchronous signal calibration algorithm, so that strict alignment of transmission time slots is ensured; the transmitting end dynamically adjusts the transmitting power according to link state information, and the receiving end reduces interference and signal attenuation through a multi-carrier cooperative interference management and multi-path delay compensation mechanism; and a receiving end performs joint decoding based on channel estimation and integrates demodulation signals of all carriers, so that the transmission efficiency and the signal quality of the 5G network are improved. The method is suitable for a base station system and a base station and repeater extension coverage system, and is especially suitable for a distributed wireless system including an optical fiber remote distributed system, a cable remote frequency shift repeater system and the like.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure describes a method and apparatus for a terminal to determine a PUCCH transmission location in a frequency domain in an SBFD environment. The method performed by the terminal in a wireless communication system comprises the steps of: receiving subband non-overlapping full duplex (SBFD) configuration information from a base station, the SBFD configuration information including uplink subband configuration information; identifying a physical uplink control channel (PUCCH) resource on the basis of an uplink subband, which is based on the uplink subband configuration information, and an initial uplink bandwidth part (BWP); and transmitting uplink control information in the PUCCH resource.

Systems and methods are described herein for providing network and protocol architectures to achieve efficient high speed data services in an integrated terrestrial-non-terrestrial network (iTNTN). The iTNTN can include at least a non-geostationary orbit (NGSO) satellite system and terrestrial radio access and core network infrastructures based on cellular standards (e.g., 5G). Embodiments specially configure packet-based routing and dynamic cell-CU-DU (cell to centralized unit to distributed unit) association to accommodate dynamically changing LEO satellite locations and other iTNTN characteristics. These and other configurations are used to enable features, including end-to-end IP data and Layer 2 data services, integrated LEO-GEO (low-Earth orbit and geosynchronous Earth orbit) and LEO-MEO (low-Earth orbit and medium-Earth orbit) services, direct UT-UT (user terminal to user terminal) services, and resource efficient multicast services.

A Generative Adversarial Network (GAN) is used to generate synthetic network traffic data, such as for use in training Machine Learning (ML) models. In one embodiment, a new NWDAF analytic “SyntheticData” is defined. The analytic receives as input from a requesting network function (NF) at least an amount of network traffic data requested and the type of network traffic data requested. The SyntheticData analytic uses a GAN model to generate realistic synthetic network traffic data based on actual network traffic collected in the wireless communication network. The analytic sends to the requesting NF the specified amount of synthetic network traffic data of the specified type. In one embodiment, the synthetic network traffic data generation is implemented as a new logical function of an NWDAF: the Data Generator Logical Function (DGLF).

The invention provides a low-power-consumption communication method and system based on a 5GRedCap portable WiFi network, and relates to the technical field of low-power-consumption communication, and the method comprises the steps: carrying out the adaptive control of a DRX period predicted according to WiFi access flow, setting the wake-up control of a RedCap communication terminal module, setting the adaptive switching of a bandwidth part, and setting the switching operation of a cellular communication system. By introducing a DRX cycle adaptive control mechanism based on WiFi access flow prediction and an intelligent wake-up strategy of uplink and downlink linkage into a 5G RedCap communication terminal module, the DRX sleep and wake-up cycle can be dynamically adjusted according to the actual service load state, the power consumption during the idle period of the terminal is effectively reduced, the energy waste caused by frequent wake-up is avoided, and the user experience is improved. And precise energy-saving management of the honeycomb side is realized.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. According to various embodiments of the present disclosure, a method performed by a UE in a wireless communication system may comprise the steps of: receiving, from a base station, configuration information for one or more physical uplink control channel (PUCCH) resources indicating at least one transmission configuration indicator (TCI) state, and information about a TCI state application time; receiving, from the base station, first downlink control information (DCI) including information indicating first one or more TCI states, receiving, from the base station, second DCI including information indicating second one or more TCI states and an indicator for at least one PUCCH resource, and scheduling a PUCCH; and transmitting the PUCCH to the base station on the basis of the first DCI, the second DCI, and the TCI state application time.

The invention discloses a forestry ecological environment real-time monitoring and management method based on big data, and belongs to the technical field of forestry ecological environment management, and the method comprises the following steps: S1, multi-source heterogeneous data collection and sensor network deployment; s2, multi-modal data fusion and intelligent transmission: developing an adaptive communication protocol dynamic switching module, and automatically switching to a satellite communication link in a 4G / 5G network blind area; s3, mass data storage and distributed calculation: constructing a hybrid cloud storage architecture, and storing real-time monitoring data into a Redis cache queue; s4, intelligently extracting ecological environment indexes; s5, dynamically evaluating the ecological bearing capacity; s6, performing multi-level early warning and emergency response; s7, making a precise forestry management decision; and S8, carrying out system self-optimization and closed-loop management. According to the method, the air-space-ground integrated monitoring network is constructed, so that the comprehensiveness and the real-time performance of forestry ecological environment perception are remarkably improved; multi-source data of the unmanned aerial vehicle, the satellite remote sensing and the ground sensor are complementary.

The invention relates to a network slice optimization method for a 5G private network, and the technical scheme comprises the steps: constructing a time sequence performance model in a slice operation process, and monitoring tiny changes including end-to-end time delay, throughput and packet loss rate; then extracting a short-period fluctuation mode of the index, and comparing the gradient with a historical stability threshold value; judging whether the index is in a performance critical state or not by identifying an index drifting behavior which continuously jitters but does not default yet; non-equal-ratio responses including jitter improvement and delay decline after each time of resource adjustment are recorded; then trend fitting is carried out on the data, and whether a performance platform period or a critical jump point exists or not is judged; delimiting three intervals of resource investment in the model: an inactive area with invariable investment, a high-sensitivity area with rapid performance change and a rising saturation area with stable performance and continuous resources, wherein the three intervals include an inactive area with invariable investment, a high-sensitivity area with rapid performance change and a rising saturation area with stable performance; and identifying the current response area of the slice through the model, determining that the regulation strategy does not take equal proportion input as the core, and taking the optimal response area as a resource allocation interval to make a choice.

The invention discloses a multi-unmanned aerial vehicle negotiation anti-collision method and system based on 5G unmanned aerial vehicle communication, and belongs to the technical field of multi-unmanned aerial vehicle risk avoiding. The method comprises the following steps: collecting multi-source flight state data; after the multi-source flight state data are fused through Kalman filtering, an airspace situation map is constructed; a 5G network architecture is constructed, and real-time data interaction between the unmanned aerial vehicles is realized; a dynamic negotiation protocol is constructed, and fast exchange of obstacle avoidance proposals when collision risks are triggered by multiple machines is supported; and constructing a distributed collaborative obstacle avoidance algorithm, and generating a smooth obstacle avoidance path in real time. According to the invention, through a dynamic negotiation protocol, multiple machines are supported to rapidly exchange obstacle avoidance proposals when a collision risk is triggered; a global optimal strategy is generated through edge node intelligent arbitration; the priority mechanism gives consideration to task urgency and environment dynamic change, ensures that a high-value task unmanned aerial vehicle passes preferentially, balances fairness through distributed voting, avoids path stiffness caused by decision conflict or resource competition, and realizes efficient and reasonable collaborative decision.