Resource Allocation Based On Energy Efficiency In Green Radio Systems

Today the growing global energy crisis and environmental problems become more and more important, energy saving has become a major issue for judging the techniques of all areas. With the growth in business traffic and the continuous expansion of the network, the communications industry will consume "large" energy, which introduced a new concept "green communications". The green communication means that adopting new approaches on multiple levels (devices, equipment, networks, etc.) and multiple dimensions (network architecture, communication protocol, system implementation, etc.) to construct the future mobile communication systems with low energy consuming. Considering the limited battery capacity and the active applications of mobile terminals, this thesis mainly focuses on how to extend the active time of mobile terminals with fast transmission rates and high transmission quality. In particular, the following issues are mainly studied.We propose a tradeoff model of energy efficiency and spectral efficiency based on Nash Game Theory. With the reasonable power control scheme to optimize the proposed system utility function, the system energy efficiency and spectral efficiency are both improved. Three different optimization objectives are compared through mathematical analysis and simulations on energy efficiency and spectral efficiency. Compared with the traditional algorithm, the proposed algorithm can greatly improve the system’s energy efficiency and spectral efficiency at the same time.We also propose a low-complexity power control algorithm for energy efficient OFDM systems. As verified by simulation analysis, the proposed algorithm has the same performance as the original algorithm. However, the order of computation complexity is greatly reduced.