Research On Resource Allocation Algorithm Based On Data And Energy Integrated Communication Networks

In order to solve the energy supply problem of mobile communication equipment in traditional wireless communication networks,researchers have begun to study energy harvesting technology.The energy harvesting device embedded in mobile wireless communication equipment can obtain energy from the surrounding environment.Stored in the battery to provide continuous power supply for mobile wireless communication devices.In order to improve the randomness and interval of natural energy energy harvesting methods,consider the use of stable radio frequency signals for energy transmission.The digital-energy integrated network can realize the coordinated transmission of information and energy.The wireless communication network resources are limited.How to improve the performance of the wireless communication network by optimizing the resource allocation in the integrated digital-energy network is worthy of in-depth study.This is for improving the integration of data and energy.The practicality and effectiveness of the network is of great significance.Nowadays,the application of integrated digital-energy transmission technology is divided into multiple stages,such as downlink energy transmission and uplink information transmission,downlink energy and information transmission at the same time,etc.At present,time division and power division methods are mostly used.The computational complexity during carrier allocation is relatively high.In the literature,it is proposed to divide all sub-carriers into two parts when sub-carrier allocation is used for information transmission and energy transmission.The current scenario of using this method is to consider only the performance analysis of downlink energy and information transmission,but this scenario model There are certain shortcomings.The target node needs the energy node to supply energy and the two to exchange information.A model that needs to analyze the overall uplink and downlink transmission of the system.In the case that the number of multiple time slots can be integrated in transmission,in the traditional scheme,information and energy are transmitted in equal time,and the impact of channel time variation on performance is not considered.In this context,this paper studies the resource allocation strategy in the integrated digital-energy network.The main research contents are as follows:First,it introduces the basic theoretical development status and theoretical technology of digital-energy integrated wireless communication network.The main content includes energy harvesting technology,beamforming technology,collaborative transmission technology,resource allocation strategy,etc.An important condition for the construction of a digital-energy integrated network,and an understanding of the relevant theories and resource allocation strategies of data and energy integrated communication networks are the necessary prerequisites for how to allocate resources for the integrated digital-energy network.Then can respectively by several integration of frequency division multiplexing network resources allocation algorithm and time division multiplexing strategy analysis of resource allocation algorithm as the research content,in number to the integration of wireless communication systems,for example,according to the model building system,establishing the objective function,the steps to solve the optimization problem,the simulation analysis is studied,in the case of frequency division multiplexing,in order to maximize system user equipment has information transmission rate and the benefit of the joint power and subcarrier optimization algorithm is adopted,through iterative calculation to obtain the optimal allocation of resources.The simulation software is used to simulate the optimization model,and the resource allocation results of the digital energy integration network are analyzed.Compared with the traditional subcarrier fixation algorithm,the superiority of the optimal resource allocation strategy is proved.In the case of time division multiplexing,the proposed digital energy integrated communication system can share transmission information and energy in multiple time slots.In order to better maximize the information transmission rate and benefit in the system,the joint optimization algorithm based on Lagrange method and subgradient method is adopted,and the optimal resource allocation method is obtained through iterative calculation.The results of resource allocation in data and energy integrated communication networks are analyzed.Compared with the traditional algorithm,the superiority of the optimal resource allocation strategy is proved.