5173 results about "Interference (communication)" patented technology

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

The invention discloses a low-altitude unmanned aerial vehicle trajectory tracking and monitoring method based on a 5G-A communication sensing integrated base station, and relates to the technical field of low-altitude traffic management and communication sensing fusion, and the method comprises the steps: firstly collecting multi-source data such as a communication sensing fusion signal, environment interference and unmanned aerial vehicle attributes, and carrying out the alignment and packaging of a unified timestamp and a coordinate system into a synchronous data frame; then, deep fusion and anti-interference processing are carried out on the data frames, noise is filtered out, and pure fusion data is generated; and furthermore, real-time track calculation and motion trend prediction are carried out on pure data by utilizing multi-base-station cooperative calculation and prediction. Based on this, through a multi-target feature recognition and clustering separation mechanism, independent individual trajectories are accurately stripped from a complex mixed data stream, and compliance verification and anomaly judgment are performed on the trajectories in combination with an airspace rule base. In this way, the problems of signal interference and multi-target aliasing in a complex environment can be effectively solved, and therefore high-precision global tracking of the low-altitude unmanned aerial vehicle and real-time monitoring of abnormal behaviors are achieved.

The present invention relates to the technical field of communication anti-interference, and relates to an interference confrontation method, system, device and medium for a wireless communication network, the method comprising: obtaining spectrum data, the spectrum data comprising spectrum data deployed and collected by a wireless network according to an initial deployment scheme; performing feature extraction and fusion processing on the spectrum data to generate a spectrum situation map; performing reinforcement learning decision processing according to the frequency spectrum situation map to generate a dynamic anti-interference strategy; according to transmitting node combination parameters in the dynamic anti-interference strategy, a collaborative bait node group is obtained through distributed consensus algorithm processing; sending a virtual signal to an interference source according to the dynamic anti-interference strategy and the collaborative bait node group; and calculating the strategy effect of the virtual signal by using a reinforcement learning reward function to obtain an optimized anti-interference strategy, thereby breaking through the limitation of insufficient static coping and cooperation of a traditional anti-interference method, and realizing communication reliability and anti-interference adaptability in a complex dynamic interference environment.

The invention discloses a resource allocation method and system for 5G communication in an underground coal mine, and relates to the technical field of communication information processing, and the method comprises the steps: obtaining data information of an underground coal mine roadway, building a digital twin communication model through combining a synchronous positioning and map building algorithm and a wireless fingerprint matching algorithm, generating a channel profile map according to real-time data, and transmitting the channel profile map to a server; extracting channel data of each space node; constructing a computing resource pool for the 5G base station and the edge computing node, and packaging different service types into a plurality of network slice containers; according to the channel data, carrying out initial allocation on each container through a resource composer, and carrying out dynamic task migration among different MEC nodes to obtain a resource allocation state; dividing scheduling time according to a channel profile and a resource allocation state, and dynamically adjusting a duration proportion and bandwidth occupation of each window according to a task migration state; according to the invention, through digital twinning and dynamic scheduling, the problems of 5G communication coverage and interference in the underground coal mine are solved.

The invention relates to the technical field of artificial intelligence, and discloses a Bluetooth communication intelligent speech translation method and system based on multi-mode enhancement, and the method comprises the steps: collecting a multi-channel audio signal through a built-in multi-microphone array of a Bluetooth device, carrying out the dynamic direction self-adaptive beam forming of the multi-channel audio signal, and carrying out the self-adaptive beam forming of the multi-channel audio signal; extracting a Mel spectrogram feature of the direction enhancement signal, identifying lip regions of a plurality of candidate speakers in each frame of real-time speaking video captured by a camera, performing time sequence convolution on the lip regions to obtain a lip movement time sequence embedded vector, calculating a correlation score with the Mel spectrogram feature, separating the direction enhancement signal, and obtaining a lip movement time sequence embedded vector; and performing text transcription and conversion on the high-confidence separation voice to obtain a translation language text, and sending the synthesized target translation voice to a preset mobile terminal through the Bluetooth device to obtain a target translation result. According to the method, the real-time performance and accuracy of speech translation are improved in a multi-person scene, far-field speech, noise interference and accent difference.

The invention discloses a dynamic beam adaptive optimization method for the Internet of Vehicles, and the method comprises the steps: firstly obtaining the current position, speed and driving direction of a vehicle, and carrying out the prediction of a future trajectory through combining historical trajectory information and employing a Kalman filtering technology and the like; and selecting a candidate beam direction from the predefined beam codebook. The system receives channel quality feedback information of a communication link in real time, and dynamically updates a beam forming weight based on an improved recursive least square algorithm. According to the algorithm, a composite adaptive adjustment mechanism of an error size and an error change trend is introduced, a multi-objective optimization function is constructed, and performance indexes such as link quality maximization, interference power minimization and beam switching frequency minimization are effectively balanced in a dynamic environment, so that an optimal beam direction is obtained. Finally, the real-time switching of the antenna array beams is realized through a low-overhead and low-delay control protocol. According to the method, track perception and a self-adaptive feedback mechanism are fused, and good real-time performance, stability and expandability are achieved.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for wireless communication. In one aspect of the disclosure, a method for wireless communication performed by a user equipment (UE) includes receiving cross-link interference (CLI) resource configuration information and angle-of-arrival (AoA) estimation configuration information, The method also includes receiving CLI associated with an uplink transmission transmitted by another UE, and determining a CLI value for the CLI based on the CLI resource configuration information. The method includes determining an AoA value associated with the CLI based on the AoA estimation configuration information, the AoA value corresponding to an estimated AoA at the UE associated with the uplink transmission. The method further includes transmitting CLI report data indicating the determined CLI value and AoA report data indicating the estimated AoA value. Other aspects and features are also claimed and described.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

The present invention relates to the technical field of energy meter electrical parameter measurement. Disclosed is an intelligent anti-interference system for a power line carrier energy meter. The system comprises: collecting voltage and current signals of a power line, and constructing a sample database; performing time-frequency feature classification by means of a preset model, and establishing feature and scenario mapping by synchronizing scenario recognition results; building a scenario interference recognition network on the basis of the mapping result; collecting real-time data of N communication channels of a power line carrier energy meter, and performing channel coordination decision and anti-interference enhancement; performing communication data evaluation on the basis of a comprehensive scoring function; and performing anti-interference management on the basis of channel access decision, anti-interference enhancement, and a parallel access result. The present invention solves the technical problem of poor accuracy and reliability of metering data of existing power line carrier energy meters caused by interference signals and noise when the power line carrier energy meters are in complex electromagnetic environments, and achieves the technical effect of improving the anti-interference capability and the reliability of the power line carrier energy meters.

The invention relates to the technical field of unmanned aerial vehicle communication anti-interference, in particular to an unmanned aerial vehicle anti-interference system based on spectrum sensing. According to the invention, a spectrum sensing data acquisition module acquires multi-band frequency spectrum signal data and generates a spectrum interference characteristic spectrum; the interference source positioning module calculates an azimuth angle and a distance of an interference source and generates a spatial distribution data set; the three-dimensional interference field construction module constructs a three-dimensional interference field model containing an interference intensity gradient and a propagation direction in combination with the real-time height and geographic coordinates of the unmanned aerial vehicle; the anti-interference strategy generation module analyzes the vulnerability of a communication link, and dynamically adjusts the frequency band switching priority and the transmitting power allocation weight; the beam forming control module calculates antenna array phase offset and a beam pointing angle, and generates an adaptive beam forming parameter set. The system can improve the anti-interference capability and communication stability of the unmanned aerial vehicle in a complex electromagnetic environment.

The invention discloses a cable fault accurate positioning system based on an intelligent sensor system, and relates to the technical field of power fault positioning, and the cable fault accurate positioning system comprises a cloud monitoring center which is in communication connection with the following modules: a signal acquisition and processing module which is used for deploying the intelligent sensor system along a cable, operation environment data and traveling wave signals in the cable operation process are obtained, and the signals are preprocessed and stored in a cloud data warehouse. According to the invention, the front band-pass filter and the self-adaptive trap filter are combined to filter out high-frequency harmonic waves and specific-frequency interference signals, and the differential sampling technology is adopted to counteract common-mode interference, so that the signal-to-noise ratio of the signals is remarkably improved, a system can accurately capture and process weak traveling wave signals caused by a high-resistance grounding fault in a complex environment, and the fault detection accuracy is improved. Therefore, the fault positioning precision is greatly improved, the positioning error caused by signal interference is reduced, and the determination of the fault position is more reliable and accurate.

The invention relates to the technical field of coal mine telecommunication, and discloses a coal mine underground integrated private network coverage system based on a 5G communication and AR double-transmitting selective-receiving technology, an efficient transmission and baseband processing network is constructed by taking a macro base station as a core on the ground and matching with PTN equipment and a BBU, a 5G micro base station and an RRU are deployed under the ground for a complex environment, and low-loss signal coverage is realized through optical fibers. The AR double-transmitting selective-receiving module ensures that underground data are not lost and have no error through redundant coding and double-link transmission; the edge computing module sinks data processing to the underground, reduces transmission delay and optimizes resource allocation; and the system monitoring and interference suppression unit monitors the operation state in real time, performs multi-stage alarm and resists multipath effect and electromagnetic interference, and finally realizes integration of communication above and under the well, reliability of data transmission, high efficiency of resource utilization and stability of system operation, thereby providing solid communication support for safety production, equipment management and control and personnel scheduling under the coal mine.

The invention provides a wireless resource scheduling method and device used in a scene in which a mobile phone is directly connected with a satellite, and relates to the technical field of satellite communication, and the method comprises the steps: constructing an electromagnetic map which represents the corresponding relation of a geographic position, a physical resource block and ground interference power in a satellite beam coverage area; link budgeting is carried out on the multiple user terminals in combination with the real-time orbit geometric parameters of the satellite and the electromagnetic map, and the signal to interference plus noise ratio of each user terminal on each physical resource block is predicted; based on the predicted signal to interference plus noise ratio, adopting a proportional fair marginal gain greedy algorithm to allocate an optimal continuous spectrum resource block for each user terminal; on the allocated spectrum resources, optimizing and reallocating the total transmitting power of the satellites by adopting a water injection algorithm; and a final spectrum-power joint scheduling scheme is generated, and subsequent link self-adaption and data transmission are guided. According to the invention, the spectrum efficiency, throughput and connection stability of the system are obviously improved.

Disclosed, according to various embodiments, are a method by which a terminal performs cross link interference (CLI) measurement in a wireless communication system and an apparatus therefor. Disclosed are a method and an apparatus therefor, the method comprising the steps of: receiving information about a CLI measurement resource for CLI measurement; and transmitting, to a base station, measurement information including CLI measured on the basis of the CLI measurement resource, wherein, on the basis that timing advance (TA) information of a candidate cell is received, the measurement information further includes information about a cell ID determined on the basis of the TA information and a measurement timing when the CLI is measured.

The invention provides an edge computing method and system for collaborative optimization of identification analysis and positioning service. The method comprises the following steps of: dividing cellular coverage area levels according to time delay differences of cellular communication links, and determining an initial response range of an identification analysis request; generating a positioning correction parameter by using the combination of the arrival time and the angle of the multi-anchor signal of the ultra-wideband array; a joint analysis channel is established at the edge node, and the identification analysis request and the positioning correction parameter are packaged into a composite data unit; dynamically adjusting a cellular time delay compensation value and an ultra-wideband anchor point weight distribution value based on a correction parameter in the composite data so as to adapt to the cooperative constraint of an equipment movement track and metal interference in an industrial scene; and finally, generating a cooperation instruction, and synchronously feeding back the optimized identification analysis result and the real-time positioning coordinate through the edge node. According to the technical scheme provided by the invention, the precision of equipment identifier analysis and positioning service in an industrial complex environment is improved.

Wideband simultaneous transmit and receive communications on overlapping frequency bands may be achieved by communicating via a communication device having a transmit signal path and a receive signal path. The transmit signal path and receive signal path are operable to transmit and receive simultaneously at the same frequency. A first remote communication device communicates over a first interference suppressed band using a first channel in the transmit signal path and receive signal path. A second remote communication device communicates over a second interference suppressed band using a second channel in the transmit signal path and receive signal path.

The invention discloses a power equipment temperature monitoring and early warning system and method based on wireless communication, and relates to the technical field of temperature monitoring, the system comprises a wireless temperature measurement terminal box and a mobile terminal APP, the wireless temperature measurement terminal box and the mobile terminal APP establish communication connection based on a wireless network, and the wireless temperature measurement terminal box is fixedly installed on power equipment; the wireless temperature measurement terminal box comprises an electromagnetic environment judgment module which monitors and judges whether interference exists in the environment where power equipment is located in real time based on an electromagnetic sensor and synchronizes a result into a temperature drift compensation analysis module; and the temperature monitoring module monitors temperature data in the power equipment in real time based on a temperature sensor. Through electromagnetic environment judgment and temperature drift compensation, historical data and a model are combined to dynamically correct interfered temperature data, the influence of electromagnetic interference is eliminated, real-time monitoring is matched with graded alarm, hidden dangers can be found in time, response can be made according to risk grades, accidents are avoided, and wireless connection adapts to complex scenes.

The invention belongs to the technical field of wireless communication networks, and particularly discloses a LoRa communication system for power distribution network line fault detection and a use method of the LoRa communication system for power distribution network line fault detection. For each node, continuously monitoring changes in voltage, current and temperature monitoring ranges of a line with high voltage acquisition precision and a specific current signal sampling rate, removing noise influence by combining an environmental interference filtering technology, and generating an original monitoring data set according to a preset data acquisition frequency; the data preprocessing module is used for carrying out standardization processing on the collected signals according to the original monitoring data set; the invention aims to solve the problem of logic association caused by mutual fusion of low monitoring precision, high abnormal false alarm rate, unstable data transmission and slow fault isolation response in a traditional power distribution system in the prior art.

This application relates to the field of communication technologies, and in particular, to a sensing method and an apparatus, to integrate sensing and communication, so as to reduce a sensing delay, support more refined and flexible interference avoidance, and improve sensing performance. The method includes: A first communication apparatus sends first information and a first sensing signal, where the first information includes configuration information of the first sensing signal; and the first communication apparatus receives a first measurement result, where the first measurement result is determined based on the first sensing signal, and the first measurement result is used for sensing.

The invention provides a network interference positioning method and device based on multi-source data fusion, and relates to the technical field of communication, and the method comprises the steps: extracting a frequency domain feature vector of radio frequency signal data, a spatial feature vector of environment perception data, and a topological feature vector of network topological data, carrying out cross-modal alignment on the frequency domain feature vector and the spatial feature vector; dynamically adjusting a fusion weight based on a real-time network load, and fusing each feature vector based on the fusion weight to obtain a fusion feature tensor; and performing non-line-of-sight propagation correction on the fused feature tensor to obtain a positioning parameter set, and determining the position of the interference source based on the positioning parameter set. According to the method and the device provided by the invention, multi-source data is adopted for positioning, cross-modal alignment is carried out on features of different modals, the fusion weight is dynamically adjusted based on the real-time network load, and through targeted non-line-of-sight propagation correction, the interference source is accurately identified and quickly positioned when the network is in a heavy load state.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, according to aspects described herein, a reconfigurable intelligent surface (RIS) can receive a configuration message comprising an indication to reduce a gain of at least a portion of a reflection beam. The RIS can generating reflection coefficients for meta-elements of the RIS based on the configuration message. The RIS can configure the meta-elements based on the reflection coefficients. For instance, based on configuring the meta-elements, the RIS can generate or produce the reflection beam (e.g., a sensing reflection beam or an interference reflection beam) by reflecting a sensing signal received from a sensing transmitter device.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention discloses a satellite beam scanning scheduling method and device for preventing same-frequency interference and a storage medium. The method belongs to the field of satellite communication, and comprises the following steps: determining sub-bands respectively adapted to a plurality of beams of a satellite; initializing a particle swarm, wherein each element of a particle vector of the particle swarm indicates a beam position scanned by each beam of the satellite in each beam hopping time slot of a beam hopping period through different numerical intervals; a fitness function is constructed, and the function value of the fitness function is related to the severity of the same-frequency interference in the satellite coverage area; performing iterative optimization on the particle swarm according to a particle swarm optimization algorithm, and determining an optimal particle vector; and according to the optimal particle vector, determining the beam position scanned by each beam in each beam hopping time slot of the beam hopping period. According to the invention, by optimizing the beam position scanning scheduling scheme of the beam in the beam hopping period, the coverage overlapping and signal cross interference of adjacent same-frequency sub-beams are effectively avoided.

The invention discloses a receiving anti-interference gain control method of a satellite internet radio frequency unit, which belongs to the field of communication, and comprises the following steps of: detecting the total signal power in a full bandwidth and the effective signal power in a target bandwidth in real time in the operation process of equipment, and when the total signal power exceeds a set power threshold and enters a saturation state, sending the effective signal power to the satellite internet radio frequency unit; the total signal power is controlled below the threshold power by adjusting the attenuation amount of the attenuator, and saturation of a receiving channel is prevented; meanwhile, the difference value between the total signal power and the effective signal power is detected, when the difference value exceeds a set threshold value, it is judged that strong out-of-band interference exists, and useful signal attenuation caused by suppression of the out-of-band interference is compensated by adjusting the digital gain DigialGain.

The invention relates to the technical field of communication, in particular to a satellite communication anti-interference transmission method based on a frequency hopping and spread spectrum fusion algorithm. According to the method, interference power is collected at multiple nodes, multiple sub-carrier frequencies and multiple moments to construct an interference observation tensor, interference features are extracted through low-rank tensor decomposition, and interference of each sub-carrier frequency in a future frequency hopping time slot is predicted; calculating a signal to interference plus noise ratio and capacity according to predicted interference in combination with transmitting power and noise, constructing a utility function containing a service weight and a balance coefficient, and distributing working sub-carrier frequency to each satellite communication node under concurrency constraint to generate a frequency hopping sequence; a transmitting end performs channel coding, modulation and spectrum spreading on service data and transmits the service data according to a frequency hopping sequence, and a receiving end completes synchronization, de-spreading and decoding and performs weighting processing by utilizing predicted interference. The method improves the spectrum utilization rate and the interference suppression capability, and enhances the satellite communication reliability.

The invention discloses an environment perception and command control intelligent deduction platform based on bionic unmanned equipment, and relates to the field of intelligent deduction, and the platform comprises the steps: collecting environment data through a multi-mode sensor, encrypting the environment data through an anti-interference communication relay module, and transmitting the encrypted environment data to a central control platform; the data fusion preprocessing module is used for processing multi-source data and outputting a structured data stream, and the environment intelligent modeling module is combined with a geographic information system to construct a three-dimensional dynamic environment model; an intelligent deduction module carries out multi-scene deduction based on the model, and a self-adaptive control strategy generation module converts a decision tree into an anti-disturbance control sequence; and the man-machine collaborative decision-making module fuses operator intervention to generate a final instruction, and the instruction distribution and equipment collaborative control module issues the instruction to the bionic unmanned equipment to realize intelligent collaborative control. The method has the advantages that bionic perception, anti-interference communication and intelligent deduction are integrated, efficient cooperation and adaptive control of unmanned equipment in a complex environment are achieved, and the intelligence and robustness of task execution are remarkably improved.

The invention provides a mobile terminal self-adaptive reminding method and system in a severe cold environment. The method comprises the following steps: acquiring interference signal characteristics, severe cold environment characteristics and operation data; obtaining a communication strategy according to the severe cold environment characteristics and the interference signal characteristics; integrating the communication strategy and the operation limited type to configure a reminding strategy; the configuration communication module reconstructs a communication link; and according to a reminding module configured according to the reminding strategy, self-adaptive reminding is realized, and the linkage equipment is utilized to assist in judging whether the user receives message reminding or not. Through linkage design of the mobile terminal and the linkage equipment, fluctuation problems of signal attenuation, clutter interference and the like in a severe cold environment are continuously adapted, sensing obstruction of cold-proof equipment is effectively broken through, link interruption is avoided, key information transmission is guaranteed, and the service life of the cold-proof equipment is prolonged. The balance between the accuracy and reliability of the reminding function of the mobile terminal in the severe cold environment and the cruising ability of the equipment is realized, and the practical performance of the mobile terminal in the severe cold environment and the use experience of a user are remarkably improved.

The invention relates to the technical field of encryption communication, in particular to an encryption method and system for an intelligent digital encryption radio station, and the method comprises the following steps: storing communication node information to an encryption database based on maritime communication environment signal characteristic parameters, extracting communication link quality indexes, recording multi-path interference, and screening a high-frequency band; and detecting the identity and authority change of a communication operator, and analyzing the communication use trend and frequency change to obtain a communication use trend analysis conclusion. Through dynamic monitoring of signal characteristics and self-adaptive optimization of a network structure, real-time reconstruction of a communication path and interference area avoidance are realized, stable transmission in a marine environment is guaranteed, frequency and power are dynamically adjusted in combination with link quality and interference analysis, the coverage rate and reliability are improved, and the method is suitable for large-scale popularization and application. Abnormal identification and risk early warning are realized through comprehensive judgment of communication behaviors and authority changes, the adaptability and protection capability of the system are enhanced, and the stability, security and resource utilization efficiency of a communication network are improved.

The invention relates to a method for performing a link adaptation in an uplink transmission between a user equipment, UE, and a network node in a telecommunication network, the method comprising:obtaining a first value of a Modulation and Coding Scheme, MCS, for a future transmission at transmission time interval k in the uplink transmission, the first value of MCS being determined on the basis of a Signal to Interference and Noise Ratio, SINR, estimated by the network node for the future transmission at transmission time interval k; andpredicting a second value of the MCS for the future transmission at transmission time k by using a Q-learning process having as input the first value of MCS, first data indicating whether the future transmission at transmission time k is a first transmission or a retransmission, and second data indicating whether a feedback acknowledgement, ACK / NACK, of a transmission that took place at transmission time interval k−1 is equal to ACK or NACK.