Research On Radio Resource Management Based On Energy Harvesting In The 5G Heterogeneous Networks

With the rapid development of wireless communication technologies in recent years,mobile data traffic is growing at an incredible speed.In order to alleviate the huge pressure of mobile data traffic on the existing cellular communication network overload,the technical standard formulation and commercial implementation of the fifth generation(5G)mobile communication system are put forward on the agenda.5G is transforming the traditional communication among people into a wider“Internet of Everything”,which is giving significant improvements in multiple indicators,such as network capacity,network coverage,number of user accesses and quality of service(Qo S).It is difficult to deploy a single wireless network to meet all the above requirements.In this context,the construction of 5G heterogeneous networks(Het Net)is considered to be one of the feasible solutions.At the same time,while a Het Net reaches deep network coverage,radio resource management is required to enable new spectrum resource allocation and efficient user interference suppression.On the other hand,the construction of Het Nets has led to the intensive deployment of 5G base stations,the corresponding energy consumption cost has also become a critical problem that operators and other departments must consider.In order to alleviate the pressure on the traditional grid energy,the mergence between the network architecture and the technologies based on energy harvesting(EH)and energy coordination(EC)in the “green communication” is proposed.It is characterized by collecting green energy available in the environment to drive the communication system,so it can effectively reduce energy consumption and improve energy efficiency.To the end,radio resource management in heterogeneous communication networks based on energy harvesting technology has become one of the important research fields to solve the problem of 5G scarce spectrum resources and improve the energy efficiency of 5G systems.The main innovations and contributions of this thesis can be summarized as follows.First,in view of the characteristics of intensive deployment in 5G networks,a twolayer heterogeneous cellular network architecture based on “open source” power supply is proposed.Combined with different energy arrival protocols and considering the cross layer interference of the system,the algorithm to maximize the downlink energy efficiency of the system is designed.Secondly,the long-term time average energy efficiency is taken as the system measurement index,and the updating of energy queue and data queue is considered jointly.Lyapunov optimization theory is used to deal with the time average problem which is difficult to be solved,so as to reduce the computational complexity of the system.The complex problem is decoupled into several independent subproblems and then are solved separately.Cosequently,the system is “throttled” by radio resource management such as power control and users' resoutrce allocation;Thirdly,on the basis of energy harvesting,the supplement of energy cooperation technology is introduced.Considering the hybrid energy supply method combining green energy and the smart grid architecture with the traditional grid architecture,so that the base station of wireless energy supply can intentionally share power through the smart grid architecture.At the same time,the dynamic update of cooperative energy is designed,and the algorithm to maximize energy efficiency based on the hybrid energy power supply system is proposed.The effectiveness of the algorithm and the overall performance of the system are verified by the simulation results.