766 results about "Spectral efficiency" 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 an Internet of Vehicles communication resource allocation method based on federal multi-agent deep reinforcement learning, and belongs to the technical field of deep crossing of intelligent transportation, wireless communication and distributed machine learning. According to the technical scheme, in an Internet of Vehicles scene, a vehicle is taken as an agent, and local training is performed through a multi-agent depth deterministic strategy gradient algorithm: each agent decides spectrum access, power control and bandwidth allocation based on a local state; asynchronous federation learning is adopted, each agent uploads local model parameters to a global server, weights are dynamically adjusted based on model updating quality, communication quality and updating frequency, and a global model is generated through weighted aggregation; and issuing the updated global model to an intelligent agent to realize distributed privacy protection and dynamic optimization of communication resources. The method has the beneficial effects that the spectrum efficiency, the transmission success rate and the system adaptability are remarkably improved on the premise of ensuring the data security, and the method has wide application prospects and commercial values.

The invention provides a 5G communication method and system based on environmental adaptation, and the method comprises the steps: fusing electromagnetic field intensity distribution, a terminal density thermodynamic diagram and obstacle reflection data through distributed sensing nodes, and generating a dynamic environment sensing matrix. Based on the matrix, establishing a beam pointing model of the motion trail of the user equipment cluster, dynamically adjusting the radiation direction of a beam main lobe, and creating a null region. And in combination with real-time channel multipath phase characteristics, non-uniform interval subcarrier distribution is reconstructed, and multipath phase compensation is carried out. A main lobe radiation direction and a subcarrier distribution mode are integrated into a physical layer structure, and the spatial multiplexing density of a time-frequency resource block is dynamically adjusted according to a service priority. And iteratively optimizing a collaborative matching threshold value of each parameter through closed-loop interaction of a forward channel response feature and a reverse control instruction. According to the invention, the anti-interference capability and the spectrum efficiency of the communication system are improved.

The invention discloses a time synchronization method suitable for a satellite communication system, and the method comprises the steps: analyzing a forward broadcast signal, and obtaining the reference time of a network clock; constructing a geometric prediction handle based on satellite orbit data, and predicting one-way propagation time delay between a terminal and a satellite by using the geometric prediction handle; estimating the processing delay of the terminal according to the symbol rate and the equipment working condition of the terminal and the delay calibration data; fusing the network clock reference time with the processing delay estimate to synthesize a terminal local time; and the sending time of the return link is calculated based on the local time and the propagation delay prediction. According to the method, the synchronization precision can be improved to a microsecond level, the convergence speed in a dynamic scene is accelerated, adaptive compression of the guard interval is supported, and the stability and spectrum efficiency of a satellite communication system are effectively improved.

The invention provides a dynamic polarization-beam regulation and control anti-interference method and system based on an intelligent metasurface, and relates to the technical field of wireless communication, and the system comprises an intelligent metasurface array, a controller, a channel sensing module and a joint optimization module. By sensing the channel state and interference characteristics in the wireless environment in real time and dynamically adjusting the polarization state and phase configuration of the intelligent metasurface unit, collaborative optimization of a polarization domain and a space domain is achieved, an enhanced propagation path for expected users is formed, meanwhile, an interference source is restrained, and the anti-interference capacity and communication quality of the system are improved. According to the method, a hybrid optimization strategy combining deep reinforcement learning with model driving is adopted, the calculation complexity is reduced, rapid response to a dynamic interference environment is realized, and meanwhile, the spectrum efficiency and the energy efficiency are improved through polarization-beam joint optimization. Through collaborative optimization of a polarization domain and a spatial domain, adaptive response to a complex interference environment is realized, and meanwhile, energy consumption and implementation cost are reduced.

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.

Methods, systems, and devices for wireless communications are described. A wireless device may perform a probabilistic shaping procedure using a shaping rate that is selected in accordance with a rule associated with a target spectral efficiency value, a modulation order, or both. Similarly, the wireless device may perform a channel coding procedure whose coding rate is selected in accordance with the rule. The rule may correspond to a relationship between the coding rate and the shaping rate. In some cases, the wireless device may select the shaping rate and the coding rate to be predefined values based on a target spectral efficiency value. In some examples, the wireless device may select the shaping rate and the coding rate based on a threshold coding rate, a quantity of punctured nodes used in the channel coding procedure, a quantity of layers corresponding to a multi-layer transmission, or any combination thereof.

A method and device in a node used for wireless communications. A first node first receives a first signaling, receives a first signal in a first time-frequency resource set, and the first time-frequency resource set belongs to a first time-frequency resource pool; then transmits a first information set in a target time-frequency resource set; the first field in the first signaling is used to indicate the target time-frequency resource set out of the second time-frequency resource set and the third time-frequency resource set; the first information set is used to indicate whether the first signal is correctly received; the second time-frequency resource set is related to a location of the first time-frequency resource set in the first time-frequency resource pool. The application improves the transmission efficiency of the sidelink feedback channel to improve the spectrum efficiency on sidelink.

The invention discloses a multiplexing method and system for improving 5G mobile communication spectrum efficiency, and belongs to the technical field of dynamic spectrum multiplexing communication. The method comprises the steps of collecting real-time information, predicting spectrum availability and inter-band interference by utilizing a neural network model, generating a dynamic spectrum multiplexing strategy, issuing the strategy, adjusting parameters and continuously monitoring and optimizing. According to the method, an intelligent prediction model fusing MLP and LSTM networks is adopted, spectrum availability and inter-band interference prediction are provided, and prediction confidence information is generated; a self-adaptive multi-target intelligent optimization algorithm is applied, and the algorithm can dynamically adjust and optimize the weight according to a real-time network; local optimality judgment is carried out by combining local real-time information through the intelligent reconstruction capability of the 5G base station; and continuous monitoring and closed-loop optimization are realized by using an online learning mechanism. According to the invention, dynamic intelligent management of 5G network spectrum resources can be realized, and the 5G mobile communication spectrum efficiency is significantly improved.

The invention belongs to the technical field of communication, and discloses a channel optimization method and system applied to a multi-band antenna array, and the method comprises the steps: obtaining channel state information; a generative adversarial network is adopted, physical constraints are combined, and channel state information is optimized; inputting the optimized channel state information into a deep reinforcement learning network, dynamically determining a resource allocation strategy, and outputting resource configuration parameters; the resource configuration parameters are fed back to the front-end signal acquisition and noise reduction module in a closed-loop and real-time manner; wherein the generative adversarial network and the deep reinforcement learning network adopt a joint training mode, and intermediate layer feature information of a discriminator of the generative adversarial network serves as additional state information and is input into a strategy network of the deep reinforcement learning network. According to the method, the reliability and the spectrum efficiency of a wireless communication system are improved, the transmission interruption risk in a high-mobility scene is reduced, and a more stable and more efficient communication guarantee is provided for a millimeter wave and Sub-6GHz hybrid networking scene.

The invention provides an intelligent metasurface enabled cellular-free large-scale MIMO (Multiple Input Multiple Output) network resource efficiency optimization method. The method comprises the following steps: establishing an intelligent metasurface enabled cellular-free large-scale MIMO network model under a Rician fading channel; based on the cellular-free large-scale MIMO network model, performing channel estimation by using a linear minimum mean square error method; based on the cellular-free large-scale MIMO network model, constructing a resource efficiency closed expression when a maximum ratio merging receiving scheme is used; constructing an optimization problem formula for maximizing the network resource efficiency according to the resource efficiency closed expression; and according to the optimization problem expression, designing an optimization method for cooperatively controlling a user power control coefficient and intelligent metasurface phase shift. The spectrum efficiency and the energy efficiency of the intelligent metasurface energized cellular-free large-scale MIMO network are improved, the compromise between the spectrum efficiency and the energy efficiency is effectively realized, the optimization of the network performance is realized, and an important theoretical support is provided for the development of a 6G Internet of Things network.

Methods for scheduling mixed type traffics via multiple Transmission / Reception Points (TRPs) are provided. In embodiments disclosed herein, a base station provides, and a wireless device receives, a scheduling information for scheduling the mixed type traffics with different Quality of Service (QoS) requirements via multiple TRPs. In a non-limiting example, the mixed type traffics include an enhanced Mobile Broadband (eMBB) service and an Ultra-Reliable and Low Latency Communication (URLLC) traffic service, and the scheduling information can be conveyed in a single Downlink Control Information (DCI) or a pair of DCIs. As such, it is possible to enable efficient scheduling of both eMBB traffic and URLLC traffics simultaneously. As a result, it is possible to satisfy a reliability requirement of the URLLC service without sacrificing spectral efficiency and / or throughput of the eMBB service.

The invention provides a communication auxiliary sensing system and method based on an intelligent super surface (RIS). The communication auxiliary sensing system comprises a multi-antenna base station, a multi-user terminal and an active RIS. According to the system, an uplink pilot frequency and a data signal are jointly utilized, an expectation maximization (EM) algorithm is adopted to iteratively recover equivalent channel state information (CSI), and a Cramer-Rao bound (CRB) of sensing performance is deduced. Combined optimization of user precoding and RIS reflection coefficients is innovatively proposed under the uncertainty of CSI, so as to minimize CRB and guarantee user communication rate at the same time. An original problem is converted into a processable form by establishing a traversal MIMO spectrum efficiency compact lower bound, and efficient optimization is realized by combining a WMMSE method with a block coordinate descent (BCD) frame. According to the scheme, the sensing precision and the spectrum efficiency are remarkably improved, the method is suitable for an active RIS-assisted MU-MIMO network, and the technology can also be expanded to a traditional RIS-free system.

The invention provides a signal modulation method and a related device, and the method comprises the steps: obtaining a first symbol sequence, carrying out the single-carrier modulation of the first symbol sequence, enabling the phase difference between two adjacent symbols in the first symbol sequence to be 90 degrees, enabling the single-carrier modulation to comprise the frequency spectrum adjustment based on a first scaling factor and the frequency domain spectrum shaping FDSS, the spectrum adjustment comprises spectrum compression; and determining a signal generated after the first symbol sequence is subjected to single-carrier modulation. According to the method, the first symbol sequence with the phase difference of 90 degrees between two adjacent symbols is subjected to single-carrier modulation, a single-carrier modulation scheme for performing frequency spectrum compression in a frequency domain is provided, the frequency spectrum efficiency is improved, and a single-carrier signal with low PAPR is generated.

Relay-aided intelligent reconfigurable surfaces (IRSs) are provided. A novel relay-aided intelligent surface architecture is described herein that has the potential of achieving the promising gains of IRSs with a much smaller number of elements, opening the door for realizing these surfaces in practice. A half-duplex or full-duplex relay is connected to one or more IRSs. This merges the gains of relays and reconfigurable surfaces and splits the required signal-to-noise ratio (SNR) gain between them. This architecture can then significantly reduce the required number of reconfigurable elements in the IRS(s) while achieving the same spectral efficiencies. Consequently, the proposed relay-aided intelligent surface architecture needs far less channel estimation / beam training overhead and provides enhanced robustness compared to traditional IRS solutions.

The invention discloses an event flow assisted link self-adaption method and system oriented to the Internet of Vehicles, and belongs to the field of link self-adaption of the Internet of Vehicles, and the method comprises the steps: obtaining event flow data; inputting the event stream data into the trained depth estimation model to obtain the environment depth under the current time step; calculating the distance between the base station and the user equipment based on the event stream data and the environment depth under the current time step; and based on the distance between the base station and the user equipment, estimating a channel state and calculating a coding rate under the current time step so as to complete link self-adaption. According to the invention, dynamic sensing of the distance between the BS and the UE is realized by using the space-time correlation of the event stream, the time delay defect of a traditional feedback mechanism is overcome, the problem of inaccurate channel acquisition caused by traditional outdated feedback information is solved through visual information, the model calculation complexity is reduced, the coding rate performance is improved, and the spectrum efficiency is further improved.

The invention provides a satellite communication robust access method based on frequency hopping, and the method comprises the steps: a terminal recognizes interfered frequency points through an outlier detection algorithm, distributes an abandoning probability for the interfered frequency points, and screens a frequency hopping frequency set; calculating a frequency hopping interval according to the number of the users, the interference intensity and channel coherent bandwidth optimization; encoding data to be transmitted by adopting an LT code to generate an LT encoded data packet; the terminal sends an uplink access request to the satellite, if the access fails, the load threshold and the backoff time are optimized according to the priority, and the uplink access request is sent again after waiting for the backoff time; transmitting an LT coded data packet based on the optimized frequency hopping frequency set and the optimized frequency hopping interval; and the satellite receives and analyzes the LT coded data packet. Therefore, reliability and spectrum efficiency can be taken into consideration, meanwhile, self-adaption can be carried out according to the external environment, and the service requirements of different users can be met.

According to the intelligent frequency spectrum prediction system and method with the dynamic anti-interference function, through the lightweight AI prediction model deployed in the embedded terminal, prospective accurate prediction of the future frequency spectrum hole probability is achieved, and the time delay defect of traditional passive detection is overcome; through an interference identification and classification module, fine identification of an interference source is realized, and a basis is provided for a differential anti-interference strategy; dynamic global optimization of communication parameters is realized through fusion of a utility function decision mechanism of a prediction result, interference information and historical quality and GFSK / QPSK adaptive modulation switching, and optimal balance is obtained between noise immunity and spectrum efficiency; through maintenance of the pre-switching channel pool and a microsecond-level rapid switching mechanism, challenges brought by strong interference burst and high-speed moving scenes are effectively dealt with, and continuity and high reliability of communication are ensured.

The invention relates to the technical field of communication, in particular to a time sequence adaptive communication experiment automatic evaluation and verification method and system, and the method comprises the steps: S1, dynamically generating multi-scene channel parameters, including high-speed movement, dense multipath and burst interference scenes, and driving channel simulation through a predefined time-frequency domain parameter model; s2, monitoring key performance parameters of the communication system in real time, including bit error rate, synchronization error, delay jitter and spectral efficiency, and performing data acquisition at a sampling frequency not lower than 1kHz; s3, testing the adaptive algorithm through a dual-mode verification engine; s4, automatically calculating a synchronization retention rate, a spectrum efficiency improvement rate and a dynamic adjustment effectiveness index; and S5, generating a three-dimensional visualization report including a time domain performance curved surface, frequency domain feature distribution and an energy consumption analysis result. The invention discloses an automatic evaluation and verification method and system for a time sequence adaptive communication experiment. The test efficiency is remarkably improved, and the one-sidedness problem of traditional single-index evaluation is solved.

The embodiment of the invention provides a configuration method, a communication device and a storage medium, relates to the technical field of communication, and is used for reasonably configuring wireless resources so as to improve the spectrum efficiency of a wireless communication system. The configuration method comprises the following steps: sending configuration information; wherein the configuration information comprises at least one of the following information: information of the first capability; the activation time configuration information corresponds to the first capability; information of a first function, the first function being a function needing to be activated by the second node; information of a second function, the second function being a function that needs to be deactivated by the second node; the first indication information is used for indicating the second node to report the second capability; and the first triggering condition information is used for triggering the second node to report the second capability.

The invention discloses a double-index modulation simulated radio frequency division multiplexing (AFDM) communication method. The method comprises the following steps: step 1, a transmitting end performs serial-parallel change; step 2, obtaining a transmission signal according to the index position of the joint selection AFDM activation subcarrier in the mapping table, the modulation bit mapping and the pre-chirp parameter of the activation subcarrier; step 3, obtaining a time domain signal; 4, performing parallel-serial conversion on the time domain signal; step 5, performing propagation transmission through a time-varying channel based on the time domain signal; step 6, constructing a time domain channel matrix, and performing serial-to-parallel conversion on the time domain receiving signal to obtain a receiving signal; step 7, performing channel estimation on the chirp parameter equivalent channel matrix; step 8, detecting an activated subcarrier position, an activated subcarrier modulation bit and an activated subcarrier pre-chirp parameter based on the chirp parameter equivalent channel matrix, and performing pre-chirp parameter transformation; and step 9, recovering the bit stream through parallel-serial change. The spectrum efficiency of the AFDM system is further improved, and the bit error rate is reduced.

Allocating network resources to one or more signals that are to be conveyed over the network by calculating a transport capacity for a sublink of the network based on a spectral efficiency of at least one subpath included in the sublink, and allocating the sublink to at least one signal based on the calculated transport capacity.

A method and a device for wireless communication. A first node receives a first radio signal indicating a second index, transmits a first signaling, and then transmits a second radio signal. A first index and the second index are used for generating the first signaling and the second radio signal, respectively. The first signaling is unrelated to the second index and the first signaling includes configuration information for the second radio signal. Through establishing relationships between the first index and the first signaling and between the second index and the second radio signal respectively, the efficiency of transmission of data and corresponding feedback between terminals in Internet of Things (IoT) and Vehicle-to-Everything (V2X) systems are improved, thereby improving the spectrum efficiency and flexibility of systems.

An embodiment provides for calculating transmit antenna selection (TAS) throughput prediction for MIMO mode selection using a linear model that may use a piece-wise linear mapping from effective downlink (DL) signal to interference and noise ratio (SINR) in a decibel (dB) domain to spectral efficiency (SE) and the DL SINR may be estimated by uplink SINR, beamforming loss and a channel quality indicator value.

The invention relates to the technical field of wireless communication security, in particular to a millimeter wave PD-NOMA-based communication optimization method and related equipment, and an active RIS-assisted millimeter wave PD-NOMA system model, which comprise a base station, an active RIS and three types of users: an untrusted user (internal eavesdropper), a secure user and an external eavesdropper. The system establishes a direct channel from a base station to a user and an indirect channel reflected by the RIS, obtains a user signal transmission rate by decoding a transmission signal, and calculates an internal eavesdropping rate and an external eavesdropping rate. And with maximization of the security user secrecy rate as a target, an active RIS reflection coefficient matrix and PD-NOMA power distribution are jointly optimized, a target function is constructed, and optimal parameters are solved. The parameters are applied to a system model, a secure transmission mechanism is constructed by dynamically regulating and controlling RIS beam forming and power distribution strategies, internal and external eavesdropping is effectively inhibited, and millimeter wave frequency band communication security and spectrum efficiency are improved.

The invention discloses a pilot frequency guard band dynamic adjustment method and system, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: performing high-precision channel measurement based on a time delay-Doppler domain pilot frequency structure, and constructing a time-varying parameter matrix; establishing a time delay-Doppler domain resource grid mapping relation based on the time-varying parameters, and determining a pilot frequency guard band; and adaptive optimization is carried out on the pilot frequency guard band, and the range of the pilot frequency guard band is dynamically adjusted. According to the method, a double-layer self-adaptive mechanism is utilized, the multi-scale nonlinear adaptation problem of the pilot frequency protection band in a high dynamic scene is solved, the pilot frequency protection band configuration is dynamically adjusted, the pilot frequency pollution problem caused by the time delay and Doppler asymmetric change in the satellite top passing period is solved, intelligent optimization of the pilot frequency protection band configuration is achieved, and the pilot frequency protection band configuration is optimized. And meanwhile, the guard band range can be optimized in real time according to the channel quality, the anti-interference capability is enhanced when the channel is degraded, resources are quickly released when the channel is recovered, and the balance between the robustness of the system and the spectrum efficiency is considered.

The invention discloses an MIMO space-air-ground integrated secure communication multi-objective optimization method, and belongs to the field of wireless communication. The implementation method comprises the steps that an MIMO space-air-ground integrated safety communication network system is constructed, in the system, legal users in an LEO satellite integrated unmanned aerial vehicle network ISUAVN are provided with high-gain antennas, and potential threats of eavesdropping on a GEO satellite network exist; the ISUAVN adopts a cell-free large-scale multiple-input-multiple-output network, so that the spectrum efficiency of ground users is improved. A weighted Chebyshev method is applied to balance two mutually conflicting targets of total energy minimization and maximum confidential transmission rate, and an MIMO space-air-ground integrated security communication multi-target optimization problem is constructed. A multi-objective optimization problem is converted into a single-objective problem by adopting a weighted Chebyshev method, and an optimal solution of a joint beam forming problem is quickly solved by adopting a continuous convex approximation (SCA) method and a CVX optimization software package. According to the invention, the total transmission power can be reduced on the basis of ensuring the communication quality, so that the energy efficiency and reliability of the system are optimized.

The invention provides an optical fiber communication and sensing integrated system and an optical fiber monitoring system, the optical fiber communication and sensing integrated system comprises a signal sending unit, a communication receiving unit, a sensing receiving unit and a transmission link unit, the signal sending unit is used for generating a communication and sensing integrated waveform and sending the waveform to the communication receiving unit and the sensing receiving unit; the sensing and receiving unit is used for extracting phase information after performing coherent demodulation on the communication and sensing integrated optical signal, and is also used for distinguishing the vibration intensity and frequency of the transmission optical fiber by detecting and analyzing the change of the phase information; and the communication receiving unit is used for converting the communication-sensing integrated optical signal into a communication-sensing integrated electric signal to obtain original communication information. According to the invention, higher transmission rate and spectral efficiency are realized by adopting high-order digital modulation, an El-Mett symmetrical structure is adopted, and the change of an optical fiber link is detected by utilizing the sensing information of a radio frequency component, so that the sensing accuracy is further improved.

The invention discloses an intelligent regulation and control method for signal strength of communication terminal equipment, which relates to the technical field of intelligent control and optimization of the communication terminal equipment and comprises the following steps: a strategy generation terminal inputs a channel interference suppression coefficient alpha, a spectrum efficiency optimization coefficient beta, a link stability coefficient gamma and a behavior correction factor epsilon into a self-adaptive regulation and control decision model; outputting a dynamic power regulation index delta; and the execution control terminal adjusts the bias voltage of the radio frequency front-end power amplifier according to the dynamic power regulation index delta. According to the method, the adaptive regulation and control decision model is constructed through the strategy generation terminal, the channel interference suppression coefficient alpha, the spectrum efficiency optimization coefficient beta, the link stability coefficient gamma and the behavior correction factor epsilon are input into the adaptive regulation and control decision model, the dynamic power regulation and control index delta is output, and multi-factor collaborative intelligent regulation and control decision is realized. The defect that traditional static threshold regulation and control cannot adapt to a dynamic scene is avoided, and a regulation and control strategy better meets actual service and environment requirements.

Some wireless communications systems modulate signals for transmission via a channel. Probabilistic shaping may utilize non-uniformly distributed modulation constellations to increase spectral efficiency. In some cases, wireless fading may occur in a multiple-input and multiple-output (MIMO) channel, which may cause a loss of the shaping gain from probabilistic shaping. Some examples of approaches to linear MIMO demodulation for probabilistic shaping using auxiliary dimensions are provided. A wireless device may receive information indicating a non-uniform probabilistic distribution of a modulation constellation for a MIMO signal. One or more symbols of the MIMO signal may be transmitted or received via a channel. The wireless device may demodulate the symbol based at least in part on a transformation of the modulation constellation to a subspace using dimensions associated with the non-uniform probabilistic distribution and a point of the transformed modulation constellation nearest to a projected symbol in the subspace.