4 results about "Throughput maximization" patented technology

This invention discloses a communication energy efficiency optimization method assisted by a smart metasurface and a movable antenna. This method is applicable to a downlink wireless communication system consisting of a base station, a smart metasurface, and a user terminal equipped with a movable antenna. To improve the energy efficiency of this communication system, this invention proposes a joint optimization method for base station beamforming, RIS reflection coefficient, and MA spatial location. Specifically, considering the energy consumption of base station transmission signals and MA movement, the proposed method constructs a communication system energy efficiency maximization problem under constraints of user communication service quality and MA movement range, and designs an alternating optimization algorithm based on continuous convex approximation. Simulation results show that, compared with traditional fixed antenna schemes and system throughput maximization schemes, the proposed scheme can effectively improve the system's energy efficiency.

This invention discloses a UAV backscatter communication method and related device based on the integration of sensing, communication, and energy. The invention uses a UAV equipped with a uniform planar array antenna as a dual-function access point in the air, transmitting communication and sensing multiplexed signals to ground-based IoT devices and potential sensing targets. Ground-based IoT devices can choose to collect energy from the signal or modulate their own information onto the transmitted signal and reflect it back to the UAV, thereby completing energy transmission and information collection tasks respectively. By using an alternating optimization algorithm to optimize the UAV's flexible mobility, beamforming spatial control capabilities, and device scheduling capabilities, the average total throughput of the device backscatter return link can be maximized while meeting the sensing performance and energy collection requirements of IoT devices. This achieves deep synergy between sensing, communication, and energy supply, thereby realizing resource reuse and transmission performance balance across multiple tasks.

This invention discloses a joint optimization method for access control and degree distribution for MEO satellite internet. The method includes optimizing the access prohibition probability based on a Markov decision process to obtain optimized action decisions; optimizing the degree distribution based on a population optimization algorithm to obtain the optimal degree distribution, which is then fed back to the prohibition probability optimization process until the optimal prohibition probability is determined; subsequently, a generalized degree distribution strategy is generated based on the optimal prohibition probability and deployed to the satellite; satellite broadcasting and random access by ground user terminals complete the joint optimization. This scheme deeply integrates access control technology with the IRSA random access protocol to achieve adaptive response to dynamic environments and maximize throughput. It utilizes reinforcement learning algorithms to optimize access control parameters and differential evolution algorithms to optimize degree distribution parameters, achieving optimal strategy.

The application discloses a kind of high-efficiency scheduling methods of blockchain payment channel network transaction, comprising: defining payment channel network transaction scheduling problem, under the condition that transaction both sides node selects execution transaction scheduling strategy, execution node sets multiple constraint conditions with network throughput maximization as target, and the transaction scheduling optimization problem is modeled for the transaction scheduling problem in the buffer zone of both sides, to obtain transaction scheduling optimization problem;For the problem, the execution node utilizes the encoder model to extract the static features and dynamic features of each transaction in the current input sequence, to obtain the encoder output vector of each transaction, and the encoder output sequence is formed by merging;The execution node utilizes the decoder model based on attention mechanism and mask mechanism to make transaction sequence decision in a self-iterative manner to the current obtained encoder output sequence, and outputs the transaction sequence after continuous iteration to schedule both sides to complete transaction.The application can reasonably schedule the transactions in the buffer zone, improve the throughput and reduce the average waiting time of transactions.