5 results about "Qos assurance" patented technology

This application provides a service quality assurance method, apparatus, and communication device, relating to the field of wireless communication technology. A specific implementation scheme is as follows: The service quality assurance method applied to a first communication device includes: sending first information; the first information includes at least one of the following: first request information; the first request information is used to request service-level QoS assurance for a first object; description information of the first object; service-level QoS information; first latency information, including one of the following: intra-terminal latency information, latency information between the terminal-side data terminal and the terminal; fourth latency information, including one of the following: intra-server latency information, latency information within the network-side data terminal; using the method of this application embodiment, when the service-level latency budget is determined, if some latency overhead changes, the remaining latency budget can be adjusted to ensure the service-level latency budget requirements are met.

This application relates to the field of network management and optimization technology, and provides a method, apparatus, wireless access point, terminal chip, terminal chip module, and terminal device for identifying authorized traffic and ensuring quality of service (QoS) in a wireless local area network (WLAN). The method includes: a wireless access point on the network side receiving authorization credentials and QoS information sent by a terminal chip; obtaining target network element information based on the authorization credentials; verifying whether the target network element is a trusted network element based on the target network element information and a first authentication public key; if the target network element is a trusted network element, obtaining a second authentication public key from the target network element and verifying whether the authorization credentials are trusted credentials; if the authorization credentials are trusted credentials, determining that the traffic corresponding to the QoS information in the dedicated traffic transmission channel is authorized traffic, and providing QoS assurance for the authorized traffic according to the QoS information. This method can ensure that the QoS assurance for authorized traffic is reliable and controllable, and can improve the transmission quality of authorized traffic.

This invention discloses a QoS-aware fine-grained resource mapping and adaptive configuration method and system based on dynamic security foundation, belonging to the field of 6G wireless communication technology. Based on the DSF framework, this invention extends RULE_ID from a rule identifier to a multi-dimensional QoS configuration file, including parameters such as logical period T_dsf, number of resource blocks N_PRB, number of symbols N_symbol, priority, frame mode Frame_Mode, and pilot ratio Pilot_Ratio. The core innovations include: revealing that under the secure pilot frame design, the channel estimation gain G_CE = 10 × log10(N_PRB × N_symbol × 12) dB, establishing a quantitative relationship between resource allocation and demodulation reliability; providing two modes, full pilot and hybrid frame, flexibly balancing reliability and rate through the pilot proportion coefficient; elucidating mechanisms such as 0.1ms high-frequency update of measurement reports, 0.125ms closed-loop response of power control, and 0.01μs accuracy of TA adjustment, reducing the HARQ retransmission probability by two orders of magnitude; designing four adaptive optimization algorithms for latency, rate, reliability, and energy efficiency; and supporting maintaining the N_PRB × N_symbol product unchanged during inter-system handover to preserve the channel estimation gain. This invention establishes a direct mathematical link between resource allocation and QoS assurance, and can be widely applied in scenarios such as industrial control, autonomous driving, and satellite communication.

This invention discloses a service simulation and allocation system and a method for allocating communication services. Addressing the problem that existing technologies typically use a single service model or allocation strategy for scheduling, making it difficult to simultaneously adapt to multiple distributed services, leading to imbalances in service allocation and resource consumption, and decreased network resource utilization and QoS assurance capabilities, this invention uses a communication service model and introduced multi-dimensional parameters of multiple distributed services as input. Under external task-driven triggering, it dynamically allocates services to different service distributions and outputs directly deployable allocation information. This ensures the mixed adaptation and orderly execution of multiple distributed services within the same simulation subject, while also improving the automation and reproducibility of the simulation exercise process, thereby increasing network resource utilization efficiency and enhancing service quality assurance capabilities.

This invention relates to routing control technology in wireless communication, specifically providing a routing method and system for UAV ad hoc networks based on energy balance under QoS assurance. When a source node needs to send data packets, it sends a routing request and waits for the estimated maximum propagation hop count. After the estimated time, based on the routing responses received during the waiting period, a path table for the destination node is established. A fitness function is constructed using four constraint parameters: link hold-up time, remaining energy, congestion level, and hop count. The fitness value of each path is then quickly and accurately obtained, and the path with the highest fitness value is selected as the optimal path for data transmission. This invention solves the problems of low throughput, premature death of some nodes due to high energy consumption, and poor packet delivery rate in existing UAV ad hoc network routing algorithms, ensuring continuous, effective, and timely data transmission for UAVs.