Research On D2D Cache Strategy Based On Energy Harvesting

With the development of the fifth-generation mobile communication technology,a large number of mobile terminals are connected to the network,leading to a sharp increase in the demand for data services.How to quickly and effectively obtain content is a matter of great concern to users.In order to meet the explosive needs of users for mobile data while minimizing energy consumption,communication systems need to improve network performance in terms of energy consumption,throughput,and user delay.Therefore,in order to make better use of network resources,D2 D communication and caching It is a promising method to support the transmission of large amounts of content on a wireless network.In addition,frequent transmission and data between battery-powered mobile devices will quickly exhaust their energy,and energy harvesting is a promising way to provide a sustainable and lasting power supply for communication networks.In an energy harvesting communication system,nodes are able to harvest energy from their surroundings,and energy harvesting reduces the dependence on the grid or battery energy supply to enable green communication in 5G.In this context,the research method of D2 D caching strategy based on energy harvesting technology is the subject of this paper.The main research content includes the following parts:In this thesis,energy-awareness is introduced into the D2 D communication caching strategy,which not only considers some characteristics of the social and physical nature of user nodes,but also takes energy-awareness into account,converts selfishness into the user's own energy reserves and the user's social nature,further improves the modeling of the traditional user selfishness problem,establishes the weighting factor of perceived quantified selfishness in 3D,and in order to minimize the transmission delay,uses the The branch delimitation algorithm is used to solve the cache matrix of the nodes in the system.Finally,a comparison is made with the no-cache and popular + random cache schemes,and the transmission delay of the system under different parameters is also compared to further verify the efficiency and realism of the system.In this model,we propose to use the collected green energy for the file placement phase,and the nodes can use the collected energy to download the corresponding content from the base station and place it into the cache capacity to reduce the energy consumption of the D2 D nodes themselves.Since the cache capacity is limited by the collected energy and the size of the physical capacity,we propose a problem to minimize the energy consumption in the content transmission phase,and use the greedy algorithm to solve the caching strategy,and verify the effectiveness of the caching strategy by simulation.In the content distribution phase,consider a D2 D communication delivery system at a hybrid base station,where a D2 D transmitter equipped with an energy acquisition and reception function receives energy transmitted by a hybrid base station HAP,and the D2 D transmitter uses the received energy for data delivery of D2 D content,and in order to maximize the system D2 D throughput,the user's local cache cannot satisfy its own requests,and the user can consider establishing a D2 D link with neighboring users to establish D2 D links for content delivery.To decide which user to choose to establish a D2 D link,an iterative scheme based on the KM algorithm is proposed to achieve dynamic decision making and optimization of the content delivery problem.The simulation results show the superiority of the algorithm.