摘要随着世界无线通信技术的愈见成熟，通信网络规模的日益增长，无线通信设备的能量消耗愈来愈多，多媒体应用需求和高数据传输速率要求也在不断增加。在全球能源危机的当下,无线通信系统的发展不再仅仅追求提高频率效率、传输速率而已,人们已经开始更加注重节能和能量效率。在此背景下面，能效通信成为当前的研究热点。大规模MIMO(Multiple-Input Multiple-Output)技术提升了系统的频谱效率，所以目前，该技术已经被许多无线网络通信系统所使用。在不久的将来，大规模MIMO技术仍然还会是无线网络通信的主流技术。同时，由于通信系统的收发天线数量巨量变多还有移动用户终端节点的急速增加，随之而来的各种能量消耗也以指数级变大。因而，怎样有效地减少大规模MIMO通信系统的能量消耗也广受人们关注。不单单如此，以优化系统扩张性能、充分使用无线资源、减少单位比特损耗为目的，异构分布式协作网络技术成为了热门话题并取得了世界愈加广大的关注。84097

本文是对大规模MIMO异构网络中能效资源分配算法进行研究。在使用ZF(zero-forcing)预编码的同时思考同层甚至跨层之间干扰的情况下，最开始求出了系统的容量下界，从而在可接受的干扰水平约束的情况下，用最大化系统能效下界作为基准构架优化模型。以变换宏基站的天线数量的方式，可以得到宏基站的发射功率还有小小区接收点的发射功率的优化函数。仿真结果证明，该算法不但拥有更好的能效性能，还具有相对低的复杂度。

毕业论文关键词：大规模MIMO；异构蜂窝网络；能效；资源分配；ZF预编码

Abstract As the world’s wireless communication technology are becoming increasingly mature, the growing size of the communications network and the energy consumption of the wireless communication device becomes more and more multimedia applications and high data transmission rate requirements are promoting。 In the current global energy crisis, the development of wireless communication system is no longer only the pursuit of improving the frequency efficiency, transmission rate, people have begun to pay more attention to energy conservation and energy efficiency。 Under this background, energy efficiency communication has become a hot research topic。 Massive MIMO technology has promoted the spectral efficiency of the system, so now, the technology has been used by a lot of wireless network communication systems。 In the near future, large scale MIMO technology will still be the mainstream technology of wireless network communication。 Besides, since the number of receiving antenna communication system as well as the rapid increase of large massive mobile user terminal nodes, the variety of energy consumption followed by is exponentially larger。 Therefore, how to reduce the power expenditure of large scale MIMO communication system effectively has been widely concerned。 Not only so, expansion to optimize system performance and full use of radio resources for the purpose of reducing the loss per bit, heterogeneous distributed collaborative network technology and intelligent self-organizing network technology become hot topic and achieved industry increasingly broad attention。 84097

This article is a large-scale energy efficiency MIMO heterogeneous network resource allocation algorithm research。 Under Consideration interference between the same layer or layers cross, at the same time, using the ZF pre-coded, we initially determined the capacity of the lower bound of the system, so that under the consideration of an acceptable level of interference constraints, the maximum value will be used to be the system’s lower bound of the energy efficiency to improve a reference architecture optimization model。 using the approach of changing the number of the antenna of the macro base station, optimization function of radiated power of the macro base station and small plot The simulation result shows that the algorithm not only has a better energy efficiency, also has a relatively low complexity。