无线异构网络中能效优先的功率分配和用户接入研究

发布时间：2018-06-24 18:39

  本文选题：异构网络 + 功率控制　； 参考：《电子科技大学》2014年硕士论文

【摘要】：随着移动互联网的飞速发展,移动蜂窝网络的数据业务呈现出爆炸式增长。为了应对频谱资源有限和移动数据流量井喷式增长带来的问题,层叠覆盖式的异构网络(HetNet)应运而生。这种架构可以有效解决现今移动蜂窝网络的覆盖和容量难题。各种小型基站技术的诞生和新的组网模式更是为运营商提供了低成本、可扩展和可盈利的无线移动蜂窝网络。小型基站指代的是包括微基站、微微基站和毫微微基站在内的一类体积重量小、发射功率低、传输灵活和热点覆盖的基站。毫微微基站(Femto Base Station,FBS)又名家庭基站,作为解决室内高业务量需求而提出的用于第3代通信系统的技术,得到学术界广泛的研究。毫微微小区(femto cell)由于其较为成熟的技术优势,率先得到大规模部署。其发展如今,已经不限于室内覆盖,对热点地区、企业客户甚至城区网络的接入和吞吐量的提升都有涉及。但是由于毫微微基站与宏基站共享频谱,其在组网,如干扰、切换和维护等方面仍然存在许多不稳定和不确定技术问题。毫微微基站在部署上具有随机性,更多的时候用于补热点和补盲点。如果大规模部署,站点和设备的维护面临风险。其与宏基站共存的异构网络结构下的干扰协调和功率控制问题尚需深入研究。另一方面,伴随着移动蜂窝通信高增长业务,高能量消耗成本和高二氧化碳排放量,也给移动蜂窝通信技术的发展带来了压力。当今世界,绿色通信的主题被大范围的讨论起来,绿色环保,节能减排的理念不断地被强调。能量效率已经成为了未来绿色节能通信的设计准则。在一个典型的蜂窝网络中,基站端的能耗占据整个网络能耗的60%-80%。为了提高整个蜂窝通信网络的能量利用效率,提高基站端的能量效率显得更为重要。本文针对无线异构蜂窝网络的绿色通信需求,研究了宏基站与毫微微基站层叠覆盖的两层网络下的系统能效优化问题。在考虑能量效率和用户信号质量的情况下,一方面可以通过调整基站的发射功率来调整整个系统的能量效率,另一方面,在系统总功率固定的情况下,调整用户的接入方式,以最大化系统吞吐量为目标也能提高系统能效。基于以上考虑,本文的主要成果如下:1)根据femto网络的具体特点,通过分析系统能效的梯度公式,提出了分布式有交互的能效优先的功率控制的具体实现方法,基于分布式梯度值交互,能有效地追踪系统能效随着功率值改变的变化情况,交互的信息量少,有效提升了系统能效,弥补对能效优先的功率控制研究的不足。2)运用非合作博弈理论的思想,宏基站和femto基站分别自私地解决自身的能效最优问题,把其他发送基站的干扰作为噪声求解一个能效优先的注水问题,根据其他基站的功率带来的干扰做出自身的最优功率分配。各个发送基站采用改进的能效优先的注水算法寻找最有利自身能效提高的功率分配策略,多次更新迭代功率配置以达到博弈均衡。仿真结果显示,本算法不仅提高吞吐量还兼顾到系统能量效率的提高,真正实现能效优先的通信。3)研究混合接入模式下,基于打包拍卖模型的femto网络的用户接入机制,设计出让femto签约用户和运营商经济双赢的接入架构。把混合接入的过程建立成一个前向多物品拍卖过程,并且采用打包捆绑拍卖的思想,即一个网络运营商(WSP)把一个或者多个希望接入femtocell的用户打包拍卖接入到赢家femtocell中。通过引入混合接入拍卖,宏用户的吞吐量得到了显著提高。与单物品拍卖相比,多物品拍卖对WSP来说更加有利。因为多物品拍卖更加灵活并且增加了竞拍价格的多样性。使得更多的FBS可以参与到竞拍的过程中来,通过引入竞拍对手,最终拍卖的价格更加有利于WSP。本文通过分析建立系统能效模型,设计了基于凸优化理论、博弈及拍卖理论的多种功率控制和接入控制机制,有效地解决了macro-femto网络能效优先的功率控制和用户接入问题,为能效优先的功率控制和用户接入提供了一些新思路和新方法。
[Abstract]:With the rapid development of mobile Internet, the data services of mobile cellular networks have shown an explosive growth. In order to cope with the problems of limited spectrum resources and mobile data flow blowout growth, cascaded heterogeneous networks (HetNet) emerge as the times require. This architecture can effectively solve the coverage and capacity of mobile cellular networks. The birth of small base station technology and the new networking model provide operators with low-cost, scalable and profitable wireless mobile cellular networks. Small base stations refer to small base stations, micro base stations and micro base stations, which are small in weight, low in transmission power, flexible in transmission and hot coverage. The base station. Femto Base Station (FBS), also known as the home base station, has been widely studied in the academic circle as a technology used to solve the high service demand in the room. The micro cell (femto cell) is the first to be deployed on a large scale because of its mature technical advantage. The development of the micro cell (femto cell) is now not limited. Indoor coverage is involved in hot spots, enterprise customers and even urban network access and throughput enhancement. However, there are still many unstable and uncertain technical problems in networking, such as interference, switching and maintenance, due to the sharing of spectrum between micro base stations and macro base stations. More time is used to patch hot spots and fill blind spots. If large-scale deployment, site and equipment maintenance is at risk. Interference coordination and power control in heterogeneous network structure with macro base stations still need to be studied. On the other hand, high energy consumption costs and high carbon dioxide are associated with mobile cellular communications. Emissions also bring pressure to the development of mobile cellular communication technology. Today, the theme of green communication is discussed in a wide range. The concept of green environmental protection, energy saving and emission reduction is constantly emphasized. Energy efficiency has become a design criterion for future green energy saving communication. In a typical cellular network, the energy consumption of base station ends In order to improve the energy efficiency of the entire cellular communication network and improve the energy efficiency of the base station, the energy efficiency of the entire cellular communication network is more important. In this paper, the system energy efficiency optimization problem of the two layer network covered by the Acer station and the micro micro base station is studied in this paper. The problem of the system efficiency optimization under the two layer network covered by the wireless heterogeneous cellular network is studied. Considering the energy efficiency and the quality of the user signal, one aspect can adjust the energy efficiency of the whole system by adjusting the transmission power of the base station. On the other hand, in the case of fixed total power of the system, the user's access mode can be adjusted to maximize the system throughput. Based on the above consideration, the system energy efficiency can be improved. The main achievements of this paper are as follows: 1) according to the specific characteristics of femto network, through the analysis of the gradient formula of system energy efficiency, a distributed and interactive energy efficiency priority power control method is proposed. Based on the distributed gradient interaction, the system can effectively track the changes of the energy efficiency with the change of the power value, and the amount of information is less interactive. Effectively improving the energy efficiency of the system, making up for the insufficient.2 of the power control research for energy efficiency priority. Using the idea of non cooperative game theory, the Acer station and the femto base station respectively solve their own energy efficiency optimal problem respectively, and solve the interference of other sending base stations as noise to solve an energy efficiency priority water injection problem, according to the work of other base stations. Each transmission base station uses an improved energy efficiency priority water injection algorithm to find the best power allocation strategy which is most favorable to its own energy efficiency, and updates the iterative power configuration to achieve the game equilibrium. The simulation results show that the algorithm does not only improve the throughput but also takes into account the system energy efficiency. To improve, truly realize the energy efficiency priority communication.3), study the user access mechanism of the femto network based on the packaged auction model under the mixed access mode, design the access architecture that assigns both the femto subscribers and the operators' economy, and establish the mixed access process as a forward multi item auction process, and use bundled bundles. The idea of selling is that a network operator (WSP) connects one or more users who want to access the femtocell to the winner's femtocell. By introducing a hybrid access auction, the macro user's throughput has been significantly improved. Compared to the single item auction, the multi item auction is more favorable to the WSP. Flexibly and increase the diversity of bidding price, so that more FBS can participate in the process of bidding. By introducing competitors, the price of the final auction is more beneficial to WSP.. This paper designs a variety of power control and access control based on the theory of convex optimization, game and auction theory by analyzing the system energy efficiency model. The mechanism has effectively solved the power control and user access problem of energy efficiency priority in macro-femto network, and provides some new ideas and new methods for energy efficiency priority power control and user access.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5
，

本文编号：2062542