Research On Resource Allocation Technology Of Cellular Heterogeneous Network Based On Energy Efficiency

With the rapid development of science and technology in recent years,a variety of mobile intelligent terminals and service applications have emerged in an endless stream.As the number has grown,there has also been an increasingly high QoS(Quality of Service)in terms of network capacity,speed,and latency.demand.So,Cellular heterogeneous network is come into being.It’s contains such of different types of the base station,it is base on the Macrocell base station,and rising the Microcell base station,Femtocell base station,Relay Base Station and so many of the low power equipment.But,the large-scale deployment of low-power equipment will also lead to a significant increase in power consumption,while the network’s energy efficiency will also be significantly reduced.What is more serious is that If we don’t take effective energy-saving solutions,the consumption of energy will consume more and more with the rapid development of information and communication technologies.Therefore,it is of great practical significance to maximize the energy efficiency of the network while satisfying the QoS requirements of the user.In this paper,We have studied and understood the existing technology of energy saving in heterogeneous networks,and then analyzed the current development status with main technologies of energy-saving technology,selected the appropriate heterogeneous cellular network scenario model and a new system energy efficiency model was established.After the analysis and derivation of the energy efficiency model of the system,we decided to study from the two aspects of base station sleep strategy and optimizing resource allocation algorithm.Firstly,introduced the basic principles and advantages of particle swarm optimization.Then,energy efficiency as an objective function in resource allocation algorithms.The simulation experiment was carried out by introducing the joint resource allocation algorithm of weighted optimization particle swarm algorithm,and compared with the traditional resource allocation algorithm,and analyzed the advantages and disadvantages of this algorithm.Finally,according to the advantages and disadvantages of the centralized algorithm and distributed algorithm,we presents a hybrid dormancy algorithm base on clustering.The proposed algorithm is under the condition of keep all macro base station work.First in clumps and time division,then all the micro base station on the basis of their efficiency reasonable adaptive clustering,try to close the micro base stations that are less energy-efficient.Finally,the PSO algorithm is used to determine the dormant combination.The simulation results show that the computational complexity of this algorithm is far lower than that of the centralized algorithm,and the energy consumption performance is similar to that of the centralized algorithm.Compared with distributed algorithm,it has obvious advantages in improving the efficiency of network.Overall,the overall performance of this algorithm is stronger,and it has an advantage in improving the energy efficiency of the network.