17 results about "Channel reliability" patented technology

The present application relates to a kind of multi-agent deep Q network optimization indoor VLC-RF resource energy efficiency allocation method, belong to optical wireless communication technical field.The present application is to improve the system energy efficiency of VLC-RF heterogeneous network, user is abstracted as the agent of deep Q network, user selects the action of VLC-RF access point, power distribution and subcarrier resource allocation is abstracted as the action of agent, the product of the proportional fair satisfaction degree value that considers user to the communication rate alliance satisfaction or to the channel reliability alliance satisfaction and system energy consumption profit value is designed as the reward Q value of deep Q network, using a variable greed factor control agent's alliance conversion, obtains the access AP channel state of user side emphasis;Then, using deep Q network selects the action of maximum Q value for user, optimizes multiple user association access point in VLC-RF system, access point transmission power and subcarrier resource allocation.The proposed method can improve the system energy efficiency of VLC-RF while increasing user satisfaction.

Techniques are described herein for iterative decoding. An example method can include iteratively decoding a codeword by at least: determining soft channel reliability information values for bits of the codeword in a decoding iteration k, sorting the soft channel reliability information values, generating soft extrinsic information for the codeword based on a belief-propagation technique wherein the soft extrinsic information is based on the sorted channel reliability information values, and passing the soft extrinsic information to a decoding iteration k+1, such that soft channel reliability information for the decoding iteration k+1 is updated based on the soft extrinsic information for the codeword. The method can further include determining whether iteratively decoding the codeword is successful based on the updated soft channel reliability information, wherein the codeword was generated using a Reed-Muller encoding technique.

The invention relates to the technical field of intelligent irrigation, in particular to a landscaping intelligent irrigation method and system based on the Internet of Things. The method comprises the following steps of: acquiring soil humidity, environment temperature and node electric quantity on an irrigation node side, mapping the soil humidity, the environment temperature and the node electric quantity to an information bit channel, receiving channel reliability distribution parameters, setting a code rate, setting a bit value of a frozen bit channel, and performing serial offset list decoding on a polarization code on a control terminal side. And when the soil humidity change rate exceeds a range set based on a physical environment model, applying nonlinear attenuation penalty to the intermediate path, generating an irrigation strategy, calculating a decoding confidence coefficient, generating a channel reliability distribution parameter for adjusting a code rate of a next transmission period, and returning the channel reliability distribution parameter to an irrigation node. According to the scheme of the invention, a wrong decoding result caused by strong interference can be eliminated, the reliability of data decoding under a severe channel is improved, the resource waste can be reduced, and the energy efficiency and the reliability are balanced.

This invention relates to the field of electronic digital data processing technology, and discloses a smart community service interaction system and method based on information acquisition. The system includes: after a sensor state change is triggered, immediately requesting synchronization status from other logically related members of the sensor group; performing a weighted logical consistency judgment based on the communication channel reliability of each state response; and outputting an abnormal event command only when the judgment result is logically inconsistent. The decision-making basis of this invention shifts from trusting the absolute value of a single sensor data point to a self-consistent judgment of the inherent logical relationship of a set of uncertain information. This avoids a large number of invalid alarms caused by false triggering of single-point sensors or unstable communication links in terms of information processing methods. Simultaneously, by utilizing the system's normal operation data, it gains the ability to predict the sub-health state of equipment and the trend changes in user behavior patterns.

The invention relates to the technical field of cognitive Internet of Vehicles communication, in particular to a spectrum resource allocation algorithm considering reliable transmission. According to the scheme, firstly, channel historical transmission data including reliability indexes such as bandwidth, packet loss rate, bit error rate and transmission delay are collected, and a multi-dimensional channel reliability feature sequence is constructed; then, a lightweight Transform prediction model is constructed to predict the channel reliability states of multiple time slots of the channel in the future, modeling is carried out on channel time sequence correlation through a time sensing multi-layer perceptron, and a future channel reliability index prediction result is obtained through a dimension separable output structure; further performing normalization processing and index fusion on the prediction result, and constructing a channel reliability index; on the basis, a self-adaptive spectrum access mechanism based on reinforcement learning is introduced in combination with a network load state, and a self-adaptive spectrum access decision of the vehicle terminal is realized by dynamically selecting an overlay access mode or an underlay access mode. According to the method, collaborative optimization of channel reliability prediction and a spectrum access strategy can be realized in a high-mobility Internet of Vehicles environment, the system throughput and the spectrum utilization rate are improved, and the packet loss rate is reduced, so that the reliable transmission performance of Internet of Vehicles communication is improved.

This invention discloses a multi-source data fusion correction method for children's eyeglasses, belonging to the field of data fusion correction technology. The method includes: initializing system parameters; establishing a reference optical axis direction for the light-collecting array; synchronously acquiring and aligning raw multi-source data; converting multi-channel ADC count values ​​into illumination vectors; calibrating and fusing the raw data from the attitude sensor using quaternions to output attitude quaternions; establishing a wearing reference attitude and defining an attitude deviation angle; correcting the illumination vector through attitude compensation calculation based on the reference optical axis direction to output attitude-compensated illuminance; defining channel reliability weights; robustly fusing the multi-channel attitude-compensated illuminance to obtain a fused illumination value; and performing fiber attenuation inversion and correction on the fused illumination value to output the final accurate illumination value. This ensures that the final output illumination value accurately reflects the child's actual light environment exposure level, making it suitable for long-term health monitoring and behavioral analysis.

The invention provides a parallel Polar coding method, device and system, and the method comprises the steps: carrying out the parallel data interleaving of an input information bit sequence through a universal parallel data filter, and generating an interleaved information bit sequence; based on a pre-stored channel reliability index table and a sub-block interleaving table, generating intermediate information bit index sequences through the mapping relationship, and sorting the intermediate information bit index sequences by using a universal parallel data filter to obtain a target information bit index sequence; according to the target information bit index sequence, mapping the interleaved information bit sequence to a corresponding position of the to-be-coded sequence; and performing multi-stage parallel coding on the to-be-coded sequence by using a parallel Polar encoder, and outputting a coded sequence.

A Polar code encoding and decoding method, the encoding process is: dividing a signal sequence, performing CRC cyclic redundancy encoding; calculating the channel reliability of each polarized channel, selecting the K polarized channels with the highest channel reliability as information bits, and the remaining polarized channels as frozen bits, sequentially placing information bits in the indexes corresponding to the information bits, and placing frozen bits in the indexes corresponding to the frozen bits to obtain a sequence u, multiplying u with a generator matrix of a Polar code to obtain an encoded sequence, and performing 2FSK modulation; the decoding process is: performing 2FSK non-coherent demodulation on the received signal, and decoding according to the obtained log-likelihood ratio (LLR) value. The present application can realize encoding and decoding of Polar codes with any code length based on 2FSK modulation, solve the problems of large attenuation, weak anti-noise performance of a low-frequency wireless communication system, and difficulty of applying Polar codes in the low-frequency wireless communication system, and has high system adaptability and good encoding and decoding effect under low signal-to-noise ratio conditions.

This application relates to the field of communication technology and discloses a communication method, apparatus, and system. The method includes: a first communication device determining L check bits based on a first bit sequence and a CRC polynomial; the first bit sequence includes X' information bits out of A information bits, where the row weight of the X' information bits is less than or equal to the row weight of the other information bits in the A information bits excluding the X' information bits; polar coding is performed on a second bit sequence, which includes A information bits and L check bits; and the polar-coded bit sequence is output. Thus, since the polar channel reliability corresponding to rows with lower row weights is relatively low and more susceptible to interference factors such as noise, CRC precoding of the lower row weight portion of the A information bits can effectively reduce the number of low-similarity codewords, thereby improving the decoding performance of the polar code.

The present application relates to the technical field of intelligent irrigation, in particular to a garden greening intelligent irrigation method and system based on the Internet of Things. The method comprises: acquiring soil humidity, environmental temperature and node power at the irrigation node side and mapping to an information bit channel, receiving channel reliability distribution parameters and setting a code rate, setting a bit value of a frozen bit channel, in a serial cancellation list decoding process of a polar code at the control terminal side, when a soil humidity change rate exceeds a range set based on a physical environment model, applying a nonlinear attenuation penalty to an intermediate path, generating an irrigation strategy, calculating a decoding confidence, generating channel reliability distribution parameters for adjusting a code rate of a next transmission period and returning to the irrigation node. That is, the scheme of the present application can eliminate incorrect decoding results caused by strong interference, improve the reliability of data decoding in a poor channel, reduce resource waste and balance energy efficiency and reliability.

The application discloses a kind of intelligent safety capacity promotion method and device for guaranteeing deterministic delay, belong to computer network and communication engineering technical field, the method includes: constructing ultra-reliable low-latency communication (uRLLC) network uRLLC communication network model;For uRLLC communication network model, apply random network calculus technique (SNC) to obtain the deterministic delay violation probability general solution suitable for different channels, deduce the delay boundary of uRLLC communication network model;Based on the delay boundary of uRLLC communication network model, using machine learning algorithm, obtain the transmission resource configuration scheme of deterministic delay guarantee, maximize intelligent safety capacity under the premise of guaranteeing channel reliability.The technical scheme provided by the application can maximize channel safety capacity on the basis of guaranteeing deterministic delay, so as to improve network performance.

The invention provides a real-time analysis method and device for reliability of a relay protection service channel of an electric power communication network, and relates to the technical field of electric power communication, and the method comprises the steps: determining all shared risk link groups of the electric power communication network and a faulted pipe trench of the electric power communication network; one shared risk link group comprises two shared risk light paths and at least one risk pipe trench, and the risk pipe trench is a pipe trench commonly used by the two shared risk light paths; and based on the shared risk link group and the failed pipe trench, performing N-X verification on the to-be-analyzed channel, and determining the reliability of the to-be-analyzed channel. Through the above mode, the N-X verification criterion is introduced into the reliability analysis of the relay protection service communication channel, the reliability of the to-be-analyzed channel in a fault scene can be determined, potential problems of the relay protection service communication channel can be found in time according to the reliability analysis result, and the operation efficiency and safety of a power system can be improved.

The invention relates to the technical field of communication, in particular to a channel stability evaluation method and system for a power line communication dual-mode signal. The method comprises the following steps: acquiring an electromagnetic disturbance information set of a biogas power plant, and analyzing signal-to-noise ratio fluctuation of broadband and micropower wireless carrier communication signals under the grid-connected harmonic action of a biogas generator based on the electromagnetic disturbance information set to obtain a communication channel dynamic information set; based on the communication channel dynamic information set, analyzing the influence of biogas fermentation on power generation efficiency, and further causing dynamic evolution information of communication channel link bit error rate increase and carrier communication channel switching failure, so as to obtain a communication channel reliability map; and dynamically generating communication guarantee plans for different production stages based on the communication channel reliability map, and outputting a channel stability evaluation log. Accurate equipment data transmission and efficient control instruction execution are ensured, and the safe operation level and the power generation efficiency of a power plant are improved.

This invention belongs to the field of channel coding technology, specifically relating to a low-complexity decoding method based on SC decoding. The method includes: performing SC decoding at the decoding end, followed by CRC verification; if the verification passes, the decoding result is obtained; otherwise, CA-SCL decoding is performed, including calculating a metric value based on the channel reliability estimate obtained after SC decoding, the log-likelihood ratio of the information bits, and the index value of the information bits; constructing a path splitting set B based on the metric value; performing path splitting on the path splitting set B, with the remaining bits directly hard-determined to obtain the decoding path; after decoding, performing CRC verification on all paths; if a path passes the CRC verification, selecting the path with the smallest PM value as the successfully decoded path; otherwise, decoding fails, and a retransmission of information is requested. This invention reduces the number of decoding path splits and the average list size, thus reducing decoding complexity.

A steam turbine safety monitoring system based on CANFD bus communication belongs to the field of steam turbine TSI safety monitoring. To address the problems of low communication speed, supply chain risks due to reliance on imported core chips, poor channel reliability, and high development and maintenance costs caused by the large variety of functional cards in existing TSI systems, the system includes: a communication card acting as the master, communicating with multiple functional cards via the CANFD bus; functional cards acting as slaves, including data processing circuits and channel circuits; the data processing circuit using an MCU as the core processor and excluding a CPLD; channel circuits for acquiring or outputting analog signals, with chips in the channel circuits possessing both ADC and DAC functions; a standardized interface connecting the data processing circuit and the channel circuit; and communication between the communication card and functional cards using the CANFD protocol in a master-slave structure. This system is applicable to various steam turbine safety monitoring applications.

The invention mainly relates to the technical field of encryption communication, in particular to a 32-bit polar code compiling technology, discloses a method for reducing the calculation complexity and time delay of a 32-bit polar code codec and application thereof, and is suitable for short packet data communication (such as LoRa radio frequency chip physical layer frame header coding and decoding). According to the method and the device, the calculation of freezing bit nodes is avoided by finely adjusting the channel reliability sequence (for example, replacing a bit channel 16 with 20) based on the polarization weight structure and performing node cutting on the Trellis graph of the SC decoder. According to the method, the calculation complexity is reduced to 46% of that of an original scheme, the time delay is reduced by about 2 / 3, and under the condition that the bit error rate is slightly sacrificed (the BER is degraded by 0.3 dB), the BER gain which is about 1.8 dB compared with that of a Hamming code is achieved. According to the method and the device, the problems of high complexity and large time delay of a traditional polarization code in a short code length scene are solved, the communication reliability in a low signal-to-noise ratio environment is remarkably improved, and the method and the device are suitable for low-power-consumption Internet of Things equipment.

The embodiment of the invention provides an LDPC (Low Density Parity Check) code bit flipping decoding method and system and a readable storage medium, the serial global search process in the traditional algorithm is converted into independent local parallel operation of each check node, and the decoding efficiency is improved while the low complexity is kept. Specifically, the flipping metric is dynamically calculated based on a channel reliability information vector, a current hard decision sequence and a check matrix, so that the flipping decision is fused with dual information of channel quality and check reliability, blindness of traditional hard decision is avoided, a decoding path is optimized, and error correction accuracy is improved. And when the check sum is not satisfied, the check matrix is dynamically updated by using the check sum and the overturning measurement, so that the decoding convergence speed is accelerated. Therefore, the advantage of low complexity of the bit flipping algorithm is reserved, and the number of iterations is reduced and the bit error rate is reduced through a parallelization and dynamic reliability evaluation mechanism, so that the performance of the bit flipping decoding algorithm is improved on the premise of keeping low complexity of decoding processing.