Research On Mobile Communication Systems Based On Cloud Computing

Cloud Computing is a new computing mode which can be distributed computing tasks from large-scale server cluster in the pool of resources. This technique also can meet the demands of various customers to provide sufficient the corresponding computing power, storage space and network resources.Mobile cloud computing(MCC) is a Cloud Computing based on wireless communication technology raised in recent years, which can be able to make Mobile devices connect to the Internet through the cellular mobile communication. In addition, the application of local equipment, data processing and data storage can be migrated to the Cloud platform, which reduce the hardware configuration requirements and energy consumption of Mobile devices. So far, mobile cloud computing technology has attracted widespread attention and become an important research direction of wireless communication and cloud computing intersection system.This thesis investigates cloud computing in wireless fading channel and propose the efficiency optimization method based on on the existing research. In addition, it present parallel processing of cloud computing optimal method of energy efficiency and build energy acquisition and cloud computing system. Finally, this thesis analyze the optimal goal of the energy consumption in the mobile cloud system.The main research work of the thesis is depicted as follows.In Chapter 1, the background of cloud computing technology and the development of MCC technique are summarized.Chapter 2 depicts the mobile cloud computing system and introduces two adaptive optimal basic methods of energy consumption. The methods is verified through the simulation.Chapter 3 first describes the basic cloud computing efficiency optimization method of system structure. Then, the minimum energy consumption optimization method under the Finite State Markov Channel(FSMC) is put forward. In addition, a parallel processing optimization method of cloud computing energy consumption is proposed. The results of this method is verified through the simulation, which has useful value. Finally, the energy harvesting and cloud computing system is presented. It optimize the system throughput upon period of time and. The simulation results show that compared with traditional methods, the practical value of the proposed method is very considerable.Chapter 4 mainly introduces the wireless communication system based on mobile cloud. Firstly, it presents the basic model of the system, then puts forward the optimal scheme of the system to minimize energy consumption. Compared with the traditional local implementation, the scheme save energy on the simulation. Secondly, it proposes the minimum scheme of average execution time and minimum scheme of the maximum execution time of the system. Finally, it balances both execution time and energy of the system.Conclusions of the work in the thesis are summarized in Chapter 5, and the research direction about the development of MCC technology in the future of communication and cloud computing systems is discussed as well.