移动通信系统中频谱效率和能量效率的折中优化
发布时间：2018-11-29 13:05
【摘要】：在移动通信飞速发展的今天,用户数量急剧增长及人们对高质量视频、图片越来越高的需求,导致了频率资源日益紧张。同时,网络速度的不断提升也带来了越来越大的能源消耗,造成环境污染的同时也增加了电信运营商的成本支出。在这样的背景下,绿色通信被提出来作为一种解决网络能源消耗的有效措施,这要求我们除了需要关注网络的频谱效率之外,还应兼顾网络的能量效率。针对如何有效地利用有限的频谱资源并降低网络能源消耗这一问题,本文从高能效的动态网络拓扑控制及小区内的资源优化配置两方面开展了相应的研究。在高能效的动态网络拓扑控制的研究中,本文主要集中在寻找HetNet中高能效的基站协作方法,使得边缘用户以较小的能量消耗获得较大的传输性能。本文首先分析了HetNet中上行CoMP对小区边缘用户传输性能的影响,设计了基于上行CoMP的动态多小区选择算法,证明了在HetNet中采用CoMP机制能有效地提高小区边缘用户的上行数据传输性能。在此基础上,进一步提出了基于二次判决的CoMP协作小区选择算法,该算法通过二次判决将部分基站从CoMP协作小区集里面排除,减少参与协作的基站数。该算法能够以较小的小区边缘用户的传输性能牺牲,获得较大的基站端能耗节约。对于小区内的资源优化配置研究,本文考虑到移动通信网络中,系统的能量效率和频谱效率常常是处于竞争关系的两个性能指标,二者往往无法同时达到最优,仅仅以能量效率作为优化目标,往往系统的频谱效率无法得到保证,反之,以频谱效率为优化目标往往要以牺牲能量效率为代价。因此,可以考虑将系统的频谱效率和能量效率作为虚拟的博弈参与者,采用博弈论的方法来分析二者的折中优化问题。本文首先分析了系统的能量效率与频谱效率采用议价博弈模型进行虚拟博弈的可行性,提出了能量效率和频谱效率折中优化的系统配置方案,对优化问题的求解进行了详细的分析和推导,证明了优化问题中博弈均衡点的存在性,设计了结合黄金搜索算法、序列二次规划相结合的均衡点搜索方案。最后在单小区和多小区场景,对采用议价博弈模型进行了系统子信道和功率的优化配置后的系统性能进行了分析。结果显示,议价博弈模型较好地实现了能量效率和频谱效率的联合优化。
[Abstract]:With the rapid development of mobile communication, the number of users and the demand for high quality video and pictures are increasing rapidly, which leads to the increasing shortage of frequency resources. At the same time, the increasing speed of the network also brings more and more energy consumption, resulting in environmental pollution, but also increases the cost of telecom operators. Under this background, green communication is proposed as an effective measure to solve the energy consumption of network, which requires us to pay attention not only to the spectral efficiency of the network, but also to the energy efficiency of the network. Aiming at the problem of how to utilize the limited spectrum resources effectively and reduce the energy consumption of the network, this paper studies the dynamic network topology control with high energy efficiency and the optimal allocation of resources in the cell. In the research of efficient dynamic network topology control, this paper focuses on searching for efficient base station collaboration method in HetNet, so that edge users can achieve higher transmission performance with less energy consumption. This paper first analyzes the effect of uplink CoMP in HetNet on the transmission performance of cell edge users, and designs a dynamic multi-cell selection algorithm based on uplink CoMP. It is proved that the adoption of CoMP mechanism in HetNet can effectively improve the uplink data transmission performance of cell edge users. On this basis, a quadratic decision based CoMP cooperative cell selection algorithm is proposed, which excludes some base stations from the CoMP cooperative cell set by quadratic decision, and reduces the number of base stations participating in the collaboration. This algorithm can sacrifice the transmission performance of small cell edge users and achieve large energy saving at the base station. In this paper, we consider that in mobile communication networks, the energy efficiency and spectrum efficiency of the system are often two performance indicators in a competitive relationship, and they are often unable to achieve the optimal results at the same time. The spectral efficiency of the system can not be guaranteed only by taking the energy efficiency as the optimization target. Conversely, the energy efficiency is often sacrificed as the optimization target. Therefore, the spectral efficiency and energy efficiency of the system can be considered as virtual game participants, and the game theory method can be used to analyze the compromise optimization problem between them. This paper first analyzes the feasibility of virtual game between energy efficiency and spectrum efficiency of the system by bargaining game model, and puts forward an optimal system configuration scheme of energy efficiency and spectrum efficiency compromise. The solution of the optimization problem is analyzed and deduced in detail, and the existence of game equilibrium point in the optimization problem is proved. The equilibrium point search scheme combining gold search algorithm and sequential quadratic programming is designed. Finally, in the single-cell and multi-cell scenarios, the system performance after the optimal configuration of the system subchannel and power is analyzed by using the bargaining game model. The results show that the bargaining game model can achieve the joint optimization of energy efficiency and spectrum efficiency.
【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：2365072
[Abstract]:With the rapid development of mobile communication, the number of users and the demand for high quality video and pictures are increasing rapidly, which leads to the increasing shortage of frequency resources. At the same time, the increasing speed of the network also brings more and more energy consumption, resulting in environmental pollution, but also increases the cost of telecom operators. Under this background, green communication is proposed as an effective measure to solve the energy consumption of network, which requires us to pay attention not only to the spectral efficiency of the network, but also to the energy efficiency of the network. Aiming at the problem of how to utilize the limited spectrum resources effectively and reduce the energy consumption of the network, this paper studies the dynamic network topology control with high energy efficiency and the optimal allocation of resources in the cell. In the research of efficient dynamic network topology control, this paper focuses on searching for efficient base station collaboration method in HetNet, so that edge users can achieve higher transmission performance with less energy consumption. This paper first analyzes the effect of uplink CoMP in HetNet on the transmission performance of cell edge users, and designs a dynamic multi-cell selection algorithm based on uplink CoMP. It is proved that the adoption of CoMP mechanism in HetNet can effectively improve the uplink data transmission performance of cell edge users. On this basis, a quadratic decision based CoMP cooperative cell selection algorithm is proposed, which excludes some base stations from the CoMP cooperative cell set by quadratic decision, and reduces the number of base stations participating in the collaboration. This algorithm can sacrifice the transmission performance of small cell edge users and achieve large energy saving at the base station. In this paper, we consider that in mobile communication networks, the energy efficiency and spectrum efficiency of the system are often two performance indicators in a competitive relationship, and they are often unable to achieve the optimal results at the same time. The spectral efficiency of the system can not be guaranteed only by taking the energy efficiency as the optimization target. Conversely, the energy efficiency is often sacrificed as the optimization target. Therefore, the spectral efficiency and energy efficiency of the system can be considered as virtual game participants, and the game theory method can be used to analyze the compromise optimization problem between them. This paper first analyzes the feasibility of virtual game between energy efficiency and spectrum efficiency of the system by bargaining game model, and puts forward an optimal system configuration scheme of energy efficiency and spectrum efficiency compromise. The solution of the optimization problem is analyzed and deduced in detail, and the existence of game equilibrium point in the optimization problem is proved. The equilibrium point search scheme combining gold search algorithm and sequential quadratic programming is designed. Finally, in the single-cell and multi-cell scenarios, the system performance after the optimal configuration of the system subchannel and power is analyzed by using the bargaining game model. The results show that the bargaining game model can achieve the joint optimization of energy efficiency and spectrum efficiency.
【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
【参考文献】
相关期刊论文 前1条
1 赵丽丹,周利岗;多用户OFDM系统中的自适应子信道和比特、功率分配[J];电力系统通信;2003年12期
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