High Energy Efficiency Based Radio Resource Management Of LTE-A Dvanced Heterogeneous Network

As increasingly diversified mobile multimedia services of human beings, as well as the rising demand for data rate, the traditional cellular systems cannot meet the needs of them. The heterogeneous network(Heterogeneous Network, HetNet), which is an important area of future wireless communication network deployment, will greatly improve data link reliability and spectral efficiency(Spectral Efficiency, SE).Radio resource management(Radio Resource Management, RRM) technologies is an important research area of communication system, the traditional method of resource management is mainly emphasized on spectral efficiency for peak capacity based on information theory, but high energy consumption has become a serious problem in wireless communication system. From the perspective of spectrum efficiency, the use of higher transmission power, the greater the bandwidth can lead to the system capacity obtained greatly improved. However, from the perspective of the energy efficiency(Energy Efficiency, EE), the static power, because of the presence of a signal processing circuit, in the high-power and large bandwidth systems, we cannot always increase the energy efficiency of the system even bring energy efficiency deterioration. Improving the energy efficiency of wireless communication systems, whether for academic research or for the sustainable development of society it has an important significance.In this paper, green wireless communications(Green Wireless Communications) in this emerging field of research, we first introduced the background of green communications, as well as the necessary theoretical basis. Respectively, for high energy efficiency and resource management, heterogeneous network of low-power nodes(Low Power Node, LPN) sleep mode(Sleep Mode, SM) and various types of businesses to improve energy efficiency while doing so, then deriving the research work of this paper, and finally introducing the main contents of this article.The second chapter a heterogeneous network scenario is considered; macro cell users far from macro base station but near neighboring LPN will live through great user interference. Because of coverage between LPN do not overlap and lower transmission power, mutual interference can be ignored. Therefore, power distributions of LPN just consider the impact on neighboring macro cell users and macro cell user interference power cannot exceed an upper limit. To solve the problem of power and frequency allocation under the constraints LPN, Lagrange dual decomposition is considered.The third chapter consider deploying multiple LPN under a single macro cell coverage, at different times, each user will be presented LPN sinusoidal shape change, and how the user to determine the number of different individual into hibernation or LPN is in working condition in order to energy saving is a problem in this chapter of the study. This chapter presents a dynamic programming(Dynamic Programming, DP) method to obtain all LPN’s best working condition, and the computational complexity of system resources only a few blocks and LPN product concerned.Chapter four consider the network service type when the user coexistence of various methods to improve energy efficiency, the heterogeneous network users are not uniformly distributed in the macro cell coverage, if the traditional maximum reference signal received power(Reference Signal Received Power, RSRP) to determine user access, results in a large decrease in user satisfaction, and the resources are not due to some LPN brought the system energy use efficiency. Therefore, this chapter presents a high energy efficient user access method, this method can effectively unload heavy load cell business, so that the whole network resources are fully utilized, leading to energy efficiency improvements.The fifth chapter summarized the work made in front, and gives the next research directions.