Research On Power Allocation Algorithm In Heterogeneous Small Cell Networks With SWIPT

With the rapid development of mobile communications and smart terminals,the coverage and depth of communication networks have been continuously upgraded,and the deployment density of network nodes has been increasing.This has led to an explosive growth in the energy consumption of the network.Therefore,taking effective energy-saving measures to reduce the energy consumption of communication networks is one of the important tasks for the sustainable development of communication networks.Renewable energy has the advantages of abundant reserves and pollution-free emissions.Introducing it into communication networks can effectively alleviate the current dependence on mains electricity and is an inevitable trend for the future development of communication networks.However,renewable energy sources such as solar energy and wind energy cannot be stably supplied to communication networks for a long period of time due to factors such as weather and geographical conditions.Based on this,this paper takes the Heterogeneous Cellular Network(HCN)of Wireless Information and Power Transfer(SWIPT)as an example to study the energy efficiency optimization of this network.At the same time,this dissertation also studies the energy harvesting efficiency(EEH)problem of wireless information and energy collaborative heterogeneous cellular networks(SWIPT-HCN),which provides theoretical guidance for the future deployment of energy harvesting communication networks.The specific research content and contributions of this article are as follows:Firstly,this paper studies the energy efficiency optimization problem of SWIPT-HCN,and maximizes the system energy efficiency as an optimization goal,and proposes a power distribution algorithm that maximizes system energy efficiency.First of all,the optimization problem is modeled.Then the original problem is equivalently transformed by mathematical construction and variable substitution.Finally,the optimal energy efficiency value of the system is obtained by sub-gradient iteration based on Lagrange multiplier and dichotomy.Simulation results show that the proposed algorithm can achieve rapid convergence while maximizing system energy efficiency,and there is a trade-off between system energy efficiency and users' QOS threshold and energy harvesting threshold.Secondly,in this paper,the energy harvesting efficiency of SWIPT-HCN is studied,and the energy harvesting efficiency of the system is regarded as the optimization goal.An optimization algorithm is proposed to maximize the energy harvesting efficiency of the system.Firstly,the optimization problem is modeled.Then the semi-definite relaxation(SDR)is used to transform the original problem into a corresponding convex optimization problem.Finally,the successive convex approximation algorithm is used to solve the optimization problem.The simulation results show that under different SINR thresholds,energy harvesting thresholds and macro user interference thresholds,the proposed algorithm greatly improves the energy harvesting efficiency of SWIPT-HCN based on the existing work.In addition,in order to more reasonably allocate SWIPT-HCN system resources,this paper studies the relationship between energy efficiency and energy harvesting efficiency.Firstly,the energy efficiency of the system is regarded as the optimization goal,and taking the energy harvesting efficiency as the constraint condition,and then adopting the method similar to the maximization energy efficiency of system.The simulation results show that the system energy efficiency decreases with the increase of the energy harvesting efficiency threshold,and under different energy harvesting efficiency thresholds,the proposed algorithm significantly improves the system energy efficiency on the basis of existing work.