Research On Key Technologies Of Wireless Transmission Based On Energy Harvesting

Energy harvesting uses natural renewable energy to provide power to wireless communication systems,and dynamically allocates the collected energy to meet the transmission requirements of the system based on conditions such as energy status,communication environment,and communication requirements,which in turn reduces the amount of carbon emitted by the communications industry.Energy harvesting technology is one of the important technologies for the optimization of green communication systems.Compared with the traditional fixed energy system,the harvested energy and communication environment of the energy acquisition wireless communication system are random,which make the resource optimization problem more complicated and reduce the stability of the system communication.To solve the problem of poor stability of energy harvesting wireless transmission system,this paper studies the energy harvesting wireless communication technology based on multi-energy resoures and multi-layer heterogeneous network support.Moreover,this thesis proposes an energy borrowing and storage optimization method based on multi-energy resoures.As well as multi-homing heterogeneous network access optimization methods supported by multi-layer energy harvesting networks,the effectiveness of the algorithm is verified by numerical simulation.Specific research content includes:The first chapter reviews the research history of energy harvesting technology,and focuses on analyzing the application of offline energy harvesting technology under different system scenarios and the existing major research status,summarizing the multi-user collaborative energy harvesting technologies and various different communications and energy.The status quo of research on cooperation methods,and finally the overall description of the content of the study and the structure of the text.The second chapter mainly introduces three traditional energy acquisition models of point-to-point communication systems and communication network systems.Analyze the model and use the derivation to give the optimal solution.The algorithm is given according to the characteristics of the optimal solution.Finally,some specific examples are used to illustrate the specific implementation of each algorithm.The third chapter mainly studies the method of resource optimization combining traditional grid and energy harvesting system.Compared with traditional energy harvesting systems,the system can simultaneously extract energy from traditional grids and energy harvesting units and use the collected energy preferentially.Aiming at two energy switching energy supply models,this thesis proposes a multi-energy supply system model,and proposes a resource scheduling algorithm that reduces the switching times through greedy ideas,thereby reducing the number of switching times between two energy supply systems.For the traditional grid-assisted energy harvesting work model,the paper introduces the borrowing mechanism and storage mechanism between the energy harvesting system and the traditional grid,and considers the energy transmission loss to optimize the maximum throughput.Establish related mathematical models and propose resource scheduling optimization algorithms.The fourth chapter mainly studies the optimal access method of multihoming heterogeneous networks using energy harvesting technology.Compared with traditional heterogeneous networks,each layer in the network uses energy harvesting to provide power and allows users to access multiple network layers at the same time,thus ensuring the stability of the energy harvesting network.For the single-slot optimization model,a single-slot energy harvesting technique is first used to build a correlation model for a multihomed heterogeneous network,and a low-complexity suboptimal power allocation algorithm is proposed based on the properties of the theoretical optimal solution.For the multi-slot joint optimization model,this paper gives the corresponding iterative algorithm according to the planning model.Since the model involves 0-1 variables,the cross-entropy method is used to reduce the complexity of the entire algorithm.Chapter five summarizes the full text and provides direction for future research.In summary,this thesis mainly studies the energy supply characteristics of unstable energy supply,and gives the corresponding algorithm of different models.These models effectively increase the throughput of the original energy harvesting communication system and compensate for the energy supply deficiency caused by the energy harvesting technology.