549 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 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 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.

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.

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 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.

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 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.

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 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 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.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products for near-field (NF) region detection. It may be beneficial if a wireless transmit-receive unit (WTRU) and the network are aware of whether the WTRU is within a NF region or not. A WTRU may be configured with a primary (P-RS) and a secondary (S-RS) set of resources. The WTRU performs measurements on each pair of associated RS resources selected from the P-RS and S-RS resource sets. Based on measurement results, the WTRU selects one or more RS groups that include a S-RS and an associated P-RS, and determines whether a pre-defined measurement condition is fulfilled. Based on the determined state for the selected RS groups, the WTRU determines to report an NF detection to the network, such as to enable location division multiple access and beam focusing which may enable enhanced spectrum efficiency.

Disclosed in the present application are a resource scheduling method and apparatus, and a device, a medium and a product. The method comprises: on the basis of a pre-established channel model of a network-assisted free duplex architecture under a cellular access network, obtaining channel state information between each user equipment and an edge distribution unit (EDU), channel state information between an uplink user equipment and a downlink user equipment, and channel state information between an uplink access point and a downlink access point; with the aim of maximizing the total system spectral efficiency, determining an association condition between the EDU and an access point by using a discrete differential evolution algorithm; determining the operating mode of each access point by using a game theory algorithm; and determining an association state between the EDU and a user equipment on the basis of a backhaul capacity constraint and a reinforcement learning algorithm. The present application solves the technical problems in the prior art of small coverage and poor communication quality that are caused by centralized processing of APs in NAFD, a waste of resources and interference that are caused by the incapability of flexibly expanding operating modes of the APs, and high backhaul consumption caused by centralized processing of all data in a CPU.

The invention discloses a nonlinear hybrid beam forming method and system in unmanned aerial vehicle communication and a storage medium. The method comprises the following steps: calculating a constraint condition of a hybrid precoding matrix of a transmitting end; constructing a target function of an analog precoding matrix of the transmitting end according to constraint conditions of the hybrid precoding matrix of the transmitting end and requirements of an optimal precoder; the optimal gradient iteration step number is calculated according to the relation between the historical gradient information and the time delay / or the spectrum efficiency and / or the energy efficiency; calculating an optimal solution of a transmitting end simulation precoding matrix objective function according to the optimal gradient iteration step number; obtaining a transmitting end hybrid precoding matrix according to the optimal solution of the transmitting end analog precoding matrix objective function; and performing hybrid beam forming according to the hybrid precoding matrix of the transmitting end. The method solves the problem that the loading capacity requirement and the real-time requirement of unmanned aerial vehicle communication cannot be met due to the fact that an existing millimeter wave hybrid beam forming technology is insufficient in spectrum efficiency, high in time delay and low in energy efficiency.

The invention discloses a four-dimensional multi-component phase modulation transmission and receiving method based on information source entropy driving symbol extraction in the technical field of high-dimensional phase modulation, and the method comprises the steps: obtaining the information source entropy of a target information source, calculating the number of information source symbols, and generating a simplified four-dimensional symbol unit; determining a bit index of each symbol to construct a mapping table; selecting the number of constellations, and distributing a corresponding Huffman code for each constellation point; performing interleaving processing on the bit sequence after Huffman coding by combining a bit interleaver, converting the bit sequence into a corresponding decimal numerical value, and performing bit-to-symbol mapping by matching a corresponding bit index through a mapping table to obtain a mapped symbol sequence; and modulating the mapped symbol sequence to a target wave band for transmission. According to the method, the spectrum efficiency and the transmission rate of a wireless communication system are remarkably improved, the symbol mapping efficiency is improved, the anti-interference capability of the system is effectively enhanced, the stability of data transmission is improved, and the error rate is also remarkably reduced.

Aspects of the subject disclosure may include, for example, determining a topology of a network, wherein the network includes a plurality of network elements (NEs) and at least one optical network-based fronthaul, at least one optical network-based midhaul, or combination thereof, for one or more routes associated with one or more of the plurality of NEs identified based on the topology, applying one or more sets of parameters for that route, obtaining data relating to the network based on the applying the one or more sets of parameters, training one or more AI models using the data, resulting in one or more trained AI models, and utilizing the one or more trained AI models to generate one or more predictions regarding spectral efficiency relating to the at least one optical network based fronthaul, the at least one optical network-based midhaul, or the combination thereof. Other embodiments are disclosed.

Enhanced protocols and devices may be used to alleviate loss of spectrum efficiency in wideband transmission. The protocols may implement a wideband transmission opportunity (TXOP) truncation where one or more of the channels involved in communication over the wideband are released. In one scenario, an access point (AP) may receive, from a wireless transmit receive unit (WTRU), a first CF-End frame that includes a duration field and a basic service set identifier (BSSID) field that includes an individual / group bit. On a condition that the individual / group bit of the BSSID field has a value of one (1), the AP may determine that a scrambling sequence of the first CF-End frame indicates a bandwidth associated with a transmit opportunity (TXOP) being truncated by the WTRU. The AP may then transmit a second CF-End frame at the bandwidth indicated by the scrambling sequence of the first CF-End frame.

A data processing method and apparatus are disclosed, which may be applied to communication systems such as 5G and 6G. The method includes: obtaining an extended first codebook based on a second codebook by increasing a quantity of codewords or lengths of codewords, and performing first network coding or decoding based on the first codebook. Linear independence between codewords in the extended first codebook may be ensured as much as possible, so as to generate more valid redundant packets or check packets, thereby improving system reliability. Alternatively, flexible block lengths are supported, so as to perform efficient network coding or decoding on more original data packets, thereby improving system spectral efficiency. This application may be applied to an extended reality XR service or another low-delay service.

The application is suitable for the field of wireless communication technology, and provides a cross-band tomographic model guided environment knowledge base construction and utilization method and device, a wireless communication system and a storage medium, which comprises the following steps: a wireless distributed node performs periodic beam scanning, and records wireless measurement data of multiple frequency bands to the local based on data acquisition signals of a wireless base station; the wireless distributed node generates wireless propagation channel multipath parameters based on the wireless measurement data, combines position and attitude to acquire local environment knowledge data and feeds back to the wireless base station; the wireless base station receives and stores the local environment knowledge data, combines multi-sensor data to construct a cross-band tomographic model guided environment knowledge base; and the wireless base station assists the wireless communication process between the wireless base station and the wireless distributed node based on the environment knowledge base. According to the application, the cross-band tomographic model guided environment knowledge base is used by the wireless distributed node to realize multi-node beam tracking, which can reduce beam overhead and improve communication spectrum efficiency.

The invention belongs to the field of wireless communication, and particularly relates to a wireless signal multi-dimensional array coding method and system based on dynamic rank optimization. The method comprises the following steps: detecting state information of a wireless channel, predicting state change of the channel by using a pre-trained deep learning model, and generating a dynamic optimization multiplier; adjusting a preset static optimization multiplier by using the dynamic optimization multiplier, constructing a target function for jointly optimizing the energy efficiency and the spectrum efficiency, and determining an optimal transmission rank by solving the target function; comparing the optimal transmission rank with the current transmission rank to determine a rank-up or rank-down operation; and reconstructing a transmission signal of the wireless channel according to a result of the rank increasing or decreasing operation. According to the method, the optimization target is dynamically adjusted by predicting the channel change, and the asymmetric ascending and descending rank algorithm is adopted, so that the adaptive transmission rank optimization in a complex time-varying channel environment is realized, and the communication performance is remarkably improved.

Disclosed in the present application are a method and apparatus used in a node for inference of wireless communication. The method comprises: a node receiving a first information block, wherein the first information block configures a first parameter set, and the first parameter set is used for inference; a priority value corresponding to the first parameter set depends on a power state of a first node; an execution state of a process corresponding to the first parameter set depends on the priority value corresponding to the first parameter set, and the remaining inference resources of the first node; and the inference resources comprise at least the former of computing resources or storage resources. The present application rationally allocates inference resources by optimizing the determination of the priority value for an inference process, thereby improving transmission performance and spectral efficiency.

Various embodiments comprise a wireless communication network configured to estimate wireless downlink speed. In some examples, the wireless communication network comprises data analysis circuitry. The data analysis circuitry receives a measurement report indicating received signal strength associated with a geographic location and a radio band. The data analysis circuitry converts the received signal strength for the radio band to a spectral efficiency for the radio band. The data analysis circuitry determines bandwidth for the radio band. The data analysis circuitry determines a spectral efficiency ratio for the radio band based on loading for the radio band and the geographic location. The data analysis circuitry estimates a downlink speed for the geographic location and the radio band based on the spectral efficiency ratio, the spectral efficiency, and the bandwidth.

The invention discloses a design method for ISTA sparse channel estimation based on a single-transmitting and single-receiving OFDM (Orthogonal Frequency Division Multiplexing) system. According to the method, the signal can be recovered under the condition of unknown sparseness, accurate reconstruction of the signal is realized, and a sparse channel is reconstructed through a small amount of training data, so that the training overhead is reduced, the spectrum efficiency is improved, and signal reconstruction is carried out by utilizing gradient updating and a soft threshold threshold function. A simulation experiment shows that the algorithm can realize better channel reconstruction, and meanwhile, the algorithm also has higher convergence speed and lower calculation complexity.

The invention discloses an unmanned aerial vehicle ad hoc network identification and multi-hop relay method and system based on dynamic optimization of an HCAR. According to the method, a dynamic network topology is constructed and maintained through periodic beacon interaction between nodes; after a target unmanned aerial vehicle identification signal is received, evaluating the direct link quality with a ground control center, and if the direct link quality is lower than a threshold value, starting a multi-hop relay; the optimal next-hop node and the communication channel are jointly selected according to the real-time topology and the channel state through the HCAR algorithm, and data are forwarded to a ground control center hop by hop. According to the invention, through the dynamic collaborative optimization of the routing and the channel, the transmission stability and the spectrum efficiency in a high-density scene are improved; link interruption rapid detection and self-healing capabilities are provided, and data transmission continuity is guaranteed; energy state monitoring and dynamic deployment are combined, and outdoor long-term reliable operation is supported.

This invention relates to the field of wireless communication network optimization technology, specifically a three-dimensional communication coverage method that jointly optimizes the downtilt angle of ground base stations and the deployment location of airborne base stations. Based on an integrated air-ground network, this method designs a two-layer optimization architecture for network optimization. By handling the location selection of airborne base stations and the adjustment of antenna tilt angles of ground base stations separately, it avoids strong coupling between discrete and continuous variables, thereby preventing superlinear expansion of the solution space. Simultaneously, by introducing SPSA simulated gradient technology and the ZO-Adam optimization algorithm, it overcomes the non-smoothness and non-convexity problems of the system's spectral efficiency function, ensuring the stability and convergence of the optimization process. Furthermore, the two-layer optimization architecture effectively alleviates the path dependency problem of greedy algorithms, achieving a balance between global search and timeliness.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Apparatuses and methods for latency reduction for transmission of data. A method performed by a user equipment (UE) includes receiving, by radio resource control signaling, first information for a configured grant (CG) configuration for transmission of physical uplink shared channels (PUSCHs), wherein the first information includes a time period; determining first transmission occasions (TOs), from a first set of TOs within the time period, for transmission of respective first CG-PUSCHs; and determining first control information providing an indication of the first TOs. The method further includes multiplexing the first control information in a first CG-PUSCH from the first CG-PUSCHs, and second control information in a PUSCH other than the first CG-PUSCH, and transmitting the first CG-PUSCH and the PUSCH. The second control information provides first acknowledgement information or channel state information. The transmission of the first CG-PUSCH overlaps in time with the transmission of the PUSCH.

The invention discloses a signal layered transmission method and device, electronic equipment and a storage medium, and is used for solving the technical problems that an MR-M-DCSK system based on a two-dimensional star map has no dimension gain, and is relatively low in spectrum efficiency and relatively low in dynamic adjustment flexibility. Comprising the following steps: converting a high-priority layer data stream into a first bit sequence, and converting a low-priority layer data stream into a second bit sequence; inputting the first bit sequence and the second bit sequence into a three-dimensional constellation-based M-DCSK layered modulator, and outputting a modulation signal; converting the modulation signal into a receiver input signal through a multipath Rayleigh fading channel; the M-DCSK layered demodulator based on the three-dimensional constellation demodulates an input signal of the receiver into a high-priority demodulated output data stream and a low-priority demodulated output data stream; the high priority demodulation output data stream is converted into a high priority layer decoding bit stream, and the low priority demodulation output data stream is converted into a low priority layer decoding bit stream.

The application relates to the technical field of communication, and discloses an AI-based 5G active MIMO beamforming intelligent optimization method.The method comprises the following steps: acquiring real-time radio frequency amplitude and phase data of each antenna unit; inverting downlink channel state information; collecting obstacle distribution information; combining a benchmark model to generate an antenna health state confidence score; fusing multi-source information to construct a feature tensor; inputting a deep reinforcement learning network, taking edge throughput and main lobe precision as optimization objectives, and outputting a complex weighting coefficient; and reconstructing a beamforming matrix according to the complex weighting coefficient.The application realizes dynamic adaptive optimization of beams under abnormal working conditions, and improves link robustness and spectral efficiency.

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.