21 results about "Spread factor" patented technology

The invention relates to the technical field of Internet of Vehicles, and discloses an Internet of Vehicles device scheduling method based on a LoRa ad hoc network and a Prophet algorithm, comprising the following steps: deploying LoRa nodes to form an ad hoc network, adopting a star-shaped or mesh topology structure, and setting transmission rate, signal bandwidth and spreading factor parameters; information such as the position, the speed and the direction of a vehicle is obtained through GPS or V2X communication, and interference, noise level and signal strength of a LoRa channel are monitored in real time for dynamically adjusting transmission parameters; designing an adaptation and scheduling strategy based on a Prophet algorithm; and dynamically updating the encounter frequency and the encounter duration, and selecting an optimal forwarding node in combination with the probability of Prophet and the transmission parameter of LoRa. According to the method, the interference, the noise level and the signal strength of the LoRa channel are monitored in real time, and the spreading factor (SF), the bandwidth and the power are dynamically adjusted, for example, the SF12 and 125kHz bandwidths are adopted during long-distance transmission, and the SF7 and 500kHz bandwidths are switched to a high-speed scene, so that the transmission efficiency is improved by more than 20%.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; and determine the transport block size using a scaling factor in a case that the OCC is applied to the PUSCH transmission, the scaling factor being determined based on the spreading factor.

A method and system for improving channel estimation for multi-user, multiple-input, multiple-output (MU-MIMO) systems through dynamic DM-RS port allocation in a 5G New Radio network is provided. The method comprises of allocating, by a Scheduler aware UE port allocation unit, one or more MU-MIMO ports to a plurality of code division multiplexing (CDM) groups for a plurality of UE users, performing, by a code selection unit, a code selection based on a number of allocated MU-MIMO ports, determining, by a spreading factor unit, a spreading factor allocated for each of the MU-MIMO ports in each of the plurality of CDM groups, determining, by a signalling unit, a Downlink Control Information (DCI) signalling of a Partial Port Occupancy (P-Poi) transmission for each UE and obtaining, by a channel estimation unit, channel estimates at the receiver through VSFOCC de-spreading based on the P-POI assigned for each of the MU-MIMO ports.

To suppress a demodulation error rate while utilizing a fractional spreading factor in LoRa modulation.SOLUTION: A demodulator (30) comprises a sampling unit (302), a correction unit (306), an estimation unit (307), and an output unit (308). The sampling unit performs oversampling on a received signal subjected to FSF-LoRa modulation that uses a predetermined spreading factor and a predetermined fractional coefficient, at a sampling interval obtained by dividing a chip length used in the FSF-LoRa modulation by a predetermined oversampling coefficient, thereby generating an equivalent low-pass signal. The correction unit (306) performs correction, which is based on the spreading factor, the fractional coefficient and the oversampling coefficient, on a de-spread DFT signal obtained by performing de-spreading processing and DFT processing on the equivalent low-pass signal, thereby generating a correction signal. The estimation unit (307) estimates a frequency index having a maximum amplitude among a plurality of frequency indices included in the correction signal as an index of a desired signal.SELECTED DRAWING: Figure 3

A method (400, 500) of transmitting data, by a utility metering device (200) and to a further device, using long range, LoRa, communications. The method (400, 500) comprises assigning, to each item of data (302a-j) of a plurality of data (300) to be transmitted by the utility metering device (200), a priority level from a plurality of priority levels; determining a desired transmission interval based a desired energy consumption from a power source powering the utility metering device (200), during transmission, by the utility metering device, of a predetermined size of data at a first data rate associated with a first spreading factor, wherein the first data rate is one of a plurality of predefined data rates, each data rate of the plurality of data rates being associated with a corresponding spreading factor, and wherein the first data rate is the lowest data rate of the plurality of predefined data rates and the first spreading factor is the highest spreading factor of the corresponding spreading factors; determining a transmission data rate; determining which one or more items of data, of the plurality of data, to transmit at the desired transmission interval, based on the determined transmission data rate and the priority level assigned to each item of data; and transmitting the determined one or more items of data to the further device at the desired transmission interval using the determined transmission data rate.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; determine whether a condition is satisfied for determining the transport block size; and determine the transport block size using a scaling factor in a case the condition is satisfied, the scaling factor being determined based on the spreading factor.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; and determine the transport block size using a scaling factor in a case that the OCC is applied to the PUSCH transmission, the scaling factor being determined based on the spreading factor.

Systems, methods, and instrumentalities are described herein that may be used to determine one or more control channel operational parameters associated with transmitting first uplink control information (UCI) and second UCI in a same control channel. The parameters may include respective repetition factors and / or spreading factors associated with the first UCI and the second UCI. The parameters may be determined based on respective characteristics of the first UCI and the second UCI. These characteristics may include reliability requirements, usage scenarios, and / or the like. Self-contained subframes may be employed to transmit data and / or control information. The control information may be transmitted using different numerologies than the data.

The present application relates to the technical field of communications, and in particular to an encoding method, a decoding method, and an apparatus. The present application can be applied to the IEEE 802.11ax standard, the 802.11be standard, and the 802.11bn standard, as well as other standards of the IEEE 802.11 series, such as the 802.15 standard, the 802.11bf standard, the IMMW standard, or the SparkLink standard. The method comprises: a first station acquires information bits, performs LDPC encoding on the information bits on the basis of a check matrix, obtains encoded bits, and outputs a sequence. After obtaining information to be decoded, a second station performs LDPC decoding in combination with the check matrix to obtain information bits. A code length corresponding to the check matrix is 7776, a code rate corresponding to the check matrix is 2 / 3, and a spreading factor of the check matrix is 162. The check matrix can better match a longer code length, thereby improving encoding and decoding performance.

The invention discloses a multi-user anti-interference decision-making method based on sparse strategy propagation. The method comprises the following steps: step 1, determining the number of divided sub-time slots of users according to an interference detection history; 2, determining the information transmission rate of the sub-time slot according to the spreading factor; 3, determining system throughput and an optimization target according to the signal-to-noise ratio of a receiving end; 4, determining a state space, an action space, a state transition probability matrix and rewards in the decision process; step 5, obtaining lower-layer main network parameters according to the empirical samples and the loss function; step 6, obtaining an upper layer main network parameter according to the experience sample and the loss function; and 7, obtaining an optimal anti-interference strategy according to iterative training. According to the method, the decision complexity is reduced, and dimension disasters are avoided.

This invention discloses a low-power, high-throughput 5G LDPC decoder implementation method, specifically comprising: Step 1, calculating the parameters required for decoding from the input parameters; Step 2, based on the spreading factor Z... c The values ​​are stored in different blocks according to different storage methods; Step 3: Based on the expansion factor Z c The value of determines whether to perform layer splitting transformation on the base matrix and update the required posterior probability information of the variable nodes; Step 4: Update the information of the check nodes and the posterior probability information of the variable nodes within the layer; Step 5: Implement layered iterative decoding; Step 6: After updating the information of all check nodes in each layer and reaching the set number of iterations, the decoding iteration is completed, and the output processing of the decoding result begins. This method significantly reduces the required resources; and by utilizing the orthogonality of adjacent layers of the split matrix, the intra-layer pipelining operation improves the decoder throughput after reducing the decoding parallelism. A low-consumption, high-throughput 5G LDPC decoder implementation device is also disclosed.

The application is suitable for the field of communication technology, and provides a mobile terminal communication method, system, device, terminal equipment and storage medium. The method is applied to a LoRa mobile terminal. The method comprises the following steps: firstly, receiving a LoRa data packet transmitted by a preset LoRa signal source; secondly, determining a pilot strength of the LoRa data packet, and determining a target spreading factor according to the pilot strength; and finally, transmitting device data to a gateway in a target time region corresponding to the target spreading factor according to the target spreading factor, so that the server receives the device data through the gateway, and determines position information of the LoRa mobile terminal according to the device data. In the method, the LoRa mobile terminal acquires the LoRa data packet according to the LoRa signal source, thereby determining the target spreading factor. The device data is transmitted to the gateway and the server based on the target spreading factor and the corresponding target time region, so that the server quickly acquires the position information of the mobile terminal, and the communication connection between the LoRa mobile terminal, the gateway and the server is realized.

The present application relates to the technical field of communications, and in particular to an encoding method and apparatus, and a decoding method and apparatus. The present application can be applied to the IEEE 802.11ax standard, 802.11be standard, 802.11bn standard, etc., and other standards in the IEEE 802.11 series, such as the 802.15 standard, 802.11bf standard, IMMW standard, or StarFlash standard. The encoding method comprises: a first station acquiring an information bit, performing LDPC encoding on the information bit on the basis of a check matrix to obtain an encoded bit, and outputting the encoded bit. A second station acquires information to be decoded, and then performs LDPC decoding on the basis of the check matrix to obtain the information bit. A code length corresponding to the check matrix is 7776, a code rate corresponding to the check matrix is 1 / 2, and a spreading factor of the check matrix is 162. The check matrix can better match a longer code length, thereby improving the encoding and decoding performance.

The invention relates to a high-performance LoRaWAN gateway based on a Linux system and a data processing method, and the gateway comprises the following service modules: a LoRa packet forwarding service which is used for initializing a LoRa radio frequency module based on a Semtech libragw library, setting radio frequency parameters such as a center frequency, a bandwidth and a spreading factor, and carrying out bidirectional data interaction with a Chirpstack service through a local UDP protocol. The gateway can still independently complete LoRaWAN data analysis and node management in a network-free environment, through local UDP optimization and caching, delay and packet loss caused by network fluctuation are reduced, dependence on cloud computing resources is reduced, a system architecture is simplified, deployment and operation and maintenance costs are reduced, data security and real-time performance are enhanced, and the method and the device are suitable for large-scale popularization and application. And high-reliability scene requirements of industrial Internet of Things, smart agriculture and the like are met.

Disclosed are a long-range radio communication method and device based on a spreading factor index, the method including: within one symbol period, dividing a plurality of information bits into index bits and modulated bits; mapping the index bits into a spreading factor sequence, and generating first chirp signals corresponding to various spreading factors (SFs); and converting the modulated bits to decimal numbers associated with the various SFs, modulating the decimal numbers into carrying signals, multiplying the carrying signals by the first chirp signals associated with the SFs to obtain second chirp signals associated with the various SFs, and superposing the second chirp signals to obtain a transmitted signal. According to the disclosure, by combining different SFs, an additional dimension is created to carry more information bits, so as to achieve the effect of increasing a data rate.

A user equipment (UE) that includes one or more non-transitory computer-readable media storing one or more computer-executable instructions for determining the transport block size for a Physical Uplink Shared Channel (PUSCH) transmission and at least one processor coupled to the one or more non-transitory computer-readable media is provided. The processor is configured to execute the one or more computer-executable instructions to cause the UE to determine whether an Orthogonal Cover Code (OCC) is applied to the PUSCH transmission; determine a spreading factor of the OCC in a case that the OCC is applied to the PUSCH transmission; determine whether a condition is satisfied for determining the transport block size; and determine the transport block size using a scaling factor in a case the condition is satisfied, the scaling factor being determined based on the spreading factor.

The invention provides an efficient coding linear frequency modulation transmission method for satellite Internet of Things communication, which comprises the following steps of: sequentially carrying out coding and symbol mapping on a data bit stream generated by user information to obtain a symbol sequence; performing improved linear frequency modulation with a spreading factor of SF on the symbol sequence to obtain a linear frequency modulation signal; processing the linear frequency modulation signal through a quasi-additive Gaussian white noise channel to obtain a received signal; performing de-chirp operation and soft decision incoherent demodulation on the received signal in sequence to obtain soft decision information; obtaining the ideal channel capacity of the coding LFM system according to the soft decision information, and obtaining the approximate channel capacity of the coding LFM system by using a Taylor expansion approximation method; obtaining a corresponding reachable code rate according to the ideal channel capacity and the approximate channel capacity, and establishing a corresponding relationship between a bit signal-to-noise ratio and the channel capacity; and soft input and soft output decoding is carried out according to the soft decision information, and the original data bit stream is recovered. According to the invention, the problem of extremely low signal-to-noise ratio in satellite Internet of Things communication can be effectively solved, so that reliable user transmission is provided.

The invention provides a frequency spectrum planning method and device in spread spectrum communication and electronic equipment, which are used for carrying out frequency spectrum planning on a ground terminal. The method is applied to network equipment, and comprises the following steps: determining a spreading factor multiplexing set; wherein the number of spreading factors in the spreading factor multiplexing set is greater than 1; dividing a signal coverage area of the network equipment into a plurality of sub-areas, wherein each sub-area corresponds to a spreading factor; wherein the area of the sub-region is related to the distance between the sub-region and the center of the signal coverage region.

The embodiment of the invention provides a method and a device for determining code block segmentation of a spatially coupled LDPC (Low Density Parity Check) code, and relates to the technical field of coding and decoding. The method comprises the following steps: an encoder determines the maximum length of an information bit before a first code block is encoded in the SC-LDPC code; wherein the product of the number of the space coupling blocks divided by the first code block and the length of the information bits of the space coupling blocks needs to be greater than or equal to the maximum length of the information bits before the first code block is coded. Since the length of the information bit of the spatial coupling block is determined by the expansion factor, the maximum length of the information bit before the first code block is coded, the number of the spatial coupling blocks divided by the first code block and the incidence relation of the expansion factor can be obtained. Under the condition that the maximum length of the information bits before the first code block is coded is determined, different combination methods of the number of the spatial coupling blocks and the expansion factors can be selected, so that the first code block can be segmented according to the combination methods.

The disclosure provides a symbiotic communication method and device and a backscatter communication system, and relates to the technical field of backscatter communication. The difference percentage between the actual rate and the guaranteed rate of a main system is used to represent the performance of the main system. By monitoring different performance of the main system, the spreading factor of a secondary system is adjusted in time, the optimal configuration of symbiotic performance is realized, and the purpose of not affecting the working performance of the main system after introducing the secondary system is achieved.

The invention discloses a demodulation method of Chirp spread spectrum modulation with configurable spreading factor based on FFT, including receiving a CSS signal sent by a CSS signal modulator, inputting it into an orthogonal demodulation module, obtaining a baseband receiving signal; multiplying the baseband receiving signal with a local dechirp signal, the result is a single-frequency signal, and obtaining the frequency of the single-frequency signal through FFT operation. In the leading symbol stage of the burst frame, frame header detection and symbol synchronization are performed according to the single-frequency frequency value and amplitude size. In the data symbol stage, the frequency value of the single-frequency signal obtained by multiplying the baseband signal with the dechirp signal reflects the symbol modulation information, the decision module finds the frequency value corresponding to the maximum amplitude point from the FFT output, the inverse mapping and parallel-to-serial conversion module inversely maps the frequency into modulated data information, and then restores the transmission sequence after parallel-to-serial conversion to complete the demodulation end data reception. The invention realizes signal detection, symbol synchronization and receiving functions, and realizes low complexity, and verifies the feasibility of the method through simulation.