认知无线网络能量有效资源分配
发布时间：2018-12-29 16:54
【摘要】：随着无线通信业务的飞速发展,无线频谱资源日益紧缺。另一方面,当前状况下频谱利用率却很低。认知无线电技术被认为是提高频谱资源利用率的有效手段。认知无线电技术是在保证授权用户不会受到过度干扰的前提下,允许认知用户感知并伺机接入周围的授权频谱空洞。为实现伺机接入,认知无线电系统的物理层必须具有灵活可变性。OFDM被认为是认知无线电最理想的调制技术,因为其调度资源具有高度的灵活性。而随着高速无线数据业务的快速增长,相应的能源消耗也越来越大,导致大量的温室气体排放和无线服务提供商运行费用的提高。近年来,要求节能减排、减少环境污染和资源浪费的绿色通信理念被提出,无线系统中能量效率的优化逐渐成为通信领域研究的新方向,引起了学术界和工业界的广泛关注。本文研究了认知无线网络中能量有效的资源分配问题。主要贡献包括：1.建立了认知无线网络中能量有效资源分配问题的一般模型,考虑了实际系统中的诸多约束,包括发射功率上限、最小速率要求、用户间的公平性和对授权用户的干扰限制。为了使构建的系统模型更符合实际系统,我们还考虑了信道状态信息的不确定性和不完美频谱感知。2.提出了认知网络中能量有效的资源分配算法,包括子载波分配和功率分配。我们提出了低复杂度的启发式子载波分配算法,兼顾了目标的优化和算法复杂度的降低。对于功率分配问题,我们通过研究问题的数学形式提出了一种快速算法,在求得最优解的前提下,大大降低了算法复杂度。3.研究了能量效率和频谱效率的相互关系。我们建立和求解了同时优化能量效率和频谱效率的多目标优化问题。为找到唯一的全局最优解,我们提出了一种权衡能量效率和频谱效率的优化准则。
[Abstract]:With the rapid development of wireless communication services, wireless spectrum resources are increasingly scarce. On the other hand, the current state of spectrum efficiency is very low. Cognitive radio technology is considered to be an effective means to improve the efficiency of spectrum resources. Cognitive radio technology is to allow cognitive users to perceive and access the surrounding authorization spectrum voids under the premise of ensuring that authorized users are not subject to excessive interference. In order to realize opportunistic access, the physical layer of cognitive radio system must be flexible and changeable. OFDM is considered to be the most ideal modulation technology for cognitive radio because of its high flexibility of scheduling resources. With the rapid growth of high-speed wireless data services, the corresponding energy consumption is also increasing, resulting in a large number of greenhouse gas emissions and the increase of operating costs of wireless service providers. In recent years, the idea of green communication, which requires energy saving and emission reduction, reducing environmental pollution and waste of resources, has been put forward. The optimization of energy efficiency in wireless systems has gradually become a new research direction in the field of communication, and has attracted extensive attention from academia and industry. In this paper, the problem of energy efficient resource allocation in cognitive wireless networks is studied. The main contributions include: 1. A general model of energy efficient resource allocation in cognitive wireless networks is established. Many constraints are considered, including the upper limit of transmit power, the minimum rate requirement, the fairness between users and the interference limitation to authorized users. In order to make the system model more suitable for the real system, we also consider the uncertainty of channel state information and imperfect spectrum perception. An energy efficient resource allocation algorithm in cognitive networks is proposed, including subcarrier allocation and power allocation. We propose a low complexity heuristic subcarrier allocation algorithm, which takes into account the optimization of the target and the reduction of the complexity of the algorithm. For the power allocation problem, we propose a fast algorithm by studying the mathematical form of the problem. On the premise of finding the optimal solution, the complexity of the algorithm is greatly reduced. The relationship between energy efficiency and spectrum efficiency is studied. We establish and solve the multi-objective optimization problem which optimizes both energy efficiency and spectral efficiency. In order to find the unique global optimal solution, we propose an optimal criterion for balancing energy efficiency and spectrum efficiency.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN925
[Abstract]:With the rapid development of wireless communication services, wireless spectrum resources are increasingly scarce. On the other hand, the current state of spectrum efficiency is very low. Cognitive radio technology is considered to be an effective means to improve the efficiency of spectrum resources. Cognitive radio technology is to allow cognitive users to perceive and access the surrounding authorization spectrum voids under the premise of ensuring that authorized users are not subject to excessive interference. In order to realize opportunistic access, the physical layer of cognitive radio system must be flexible and changeable. OFDM is considered to be the most ideal modulation technology for cognitive radio because of its high flexibility of scheduling resources. With the rapid growth of high-speed wireless data services, the corresponding energy consumption is also increasing, resulting in a large number of greenhouse gas emissions and the increase of operating costs of wireless service providers. In recent years, the idea of green communication, which requires energy saving and emission reduction, reducing environmental pollution and waste of resources, has been put forward. The optimization of energy efficiency in wireless systems has gradually become a new research direction in the field of communication, and has attracted extensive attention from academia and industry. In this paper, the problem of energy efficient resource allocation in cognitive wireless networks is studied. The main contributions include: 1. A general model of energy efficient resource allocation in cognitive wireless networks is established. Many constraints are considered, including the upper limit of transmit power, the minimum rate requirement, the fairness between users and the interference limitation to authorized users. In order to make the system model more suitable for the real system, we also consider the uncertainty of channel state information and imperfect spectrum perception. An energy efficient resource allocation algorithm in cognitive networks is proposed, including subcarrier allocation and power allocation. We propose a low complexity heuristic subcarrier allocation algorithm, which takes into account the optimization of the target and the reduction of the complexity of the algorithm. For the power allocation problem, we propose a fast algorithm by studying the mathematical form of the problem. On the premise of finding the optimal solution, the complexity of the algorithm is greatly reduced. The relationship between energy efficiency and spectrum efficiency is studied. We establish and solve the multi-objective optimization problem which optimizes both energy efficiency and spectral efficiency. In order to find the unique global optimal solution, we propose an optimal criterion for balancing energy efficiency and spectrum efficiency.
【学位授予单位】：南京大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN925
【相似文献】
相关期刊论文 前10条
1 闻小帆;沈秀梅;钱艳平;;基于定价优化的网络资源分配机制研究[J];科技情报开发与经济;2009年16期
2 曲晓飞,王众嫭;一种新的多人资源分配理论——多目标资源分配的协商对策[J];大连理工大学学报;1989年04期
3 王慧;杨晨;张平;;移动广播融合网络中的资源分配和定价模型[J];北京邮电大学学报;2008年04期
4 张林;胡若;;基于排队机制下多代理的资源分配冲突处理[J];计算机工程;2008年15期
5 甘志辉;董淼;汪伟;朱瑞波;;多载波TD-HSDPA信道的资源分配[J];移动通信;2008年Z1期
6 王U，
本文编号：2395096
本文链接：https://www.wllwen.com/kejilunwen/wltx/2395096.html
