基于匹配理论的绿色终端直通通信网络研究
发布时间：2018-11-21 12:28
【摘要】：随着移动通信的蓬勃发展,用户对更高数据传输速率、更大容量和更高服务质量(Quality-of-Service)的需求不断增加,而目前用于移动通信的频谱资源相当有限,频谱资源紧缺问题日益突出。D2D(Device-to-Device)绿色终端直通通信技术允许用户之间近距离直接通信,而不需要基站的转发,具有低功耗、低时延、高数据速率及高频谱效率等优点。因此,国内外研究学者在蜂窝网络下,加入D2D通信技术,以提高系统容量,最大化利用有限的频谱资源。D2D通信之所以能带来诸多优势,是由于它通过复用蜂窝用户的信道资源,但是这同时会带来错综复杂的干扰问题。此外,移动通信终端一般为电量有限的手持设备,电池电量很容易消耗殆尽,这又带来另一个棘手的能效问题。论文就针对这两个问题,研究了最大化能效的D2D通信资源分配问题。根据D2D用户复用蜂窝信道的数量,论文提出了一对一、多对一两种资源复用模式。同时,为了进一步提升用户体验,论文还考虑了网络中所有用户的个人喜好,并采用迭代功率分配算法、非线性分式规划、拉格朗日对偶分解以及KKT条件等理论最大化用户的能效,建立用户的喜好列表。然后,利用匹配理论的方法,针对两种资源复用模式提出了两种稳定的匹配算法,不仅获得了最终稳定的信道复用,还使网络的能效达到最优。
[Abstract]:With the rapid development of mobile communication, the demand for higher data transmission rate, higher capacity and higher quality of service (Quality-of-Service) is increasing, and the spectrum resources for mobile communication are limited. D2D (Device-to-Device) green terminal pass-through communication technology allows users to communicate directly at close range without the need of base station forwarding, so it has low power consumption and low delay. High data rate and high spectral efficiency. Therefore, researchers at home and abroad add D2D communication technology to cellular networks to improve system capacity and maximize the use of limited spectrum resources. D2D communication can bring many advantages. This is because it multiplexes the channel resources of cellular users, but it also brings complex interference problems. In addition, mobile communication terminals are generally handheld devices with limited power, which can easily run out of battery power, which leads to another thorny energy efficiency problem. Aiming at these two problems, this paper studies the D2D communication resource allocation problem to maximize energy efficiency. According to the number of D2D subscriber multiplexed cellular channels, one to one, many to one or two resource multiplexing modes are proposed in this paper. At the same time, in order to further improve the user experience, the paper also considers the personal preferences of all users in the network, and uses iterative power allocation algorithm, nonlinear fractional programming. Lagrangian duality decomposition and KKT condition are used to maximize the energy efficiency of users and to establish user preferences list. Then, by using the method of matching theory, two stable matching algorithms are proposed for two resource reuse modes, which not only obtain the final stable channel multiplexing, but also make the network energy efficiency optimal.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
本文编号：2346965
[Abstract]:With the rapid development of mobile communication, the demand for higher data transmission rate, higher capacity and higher quality of service (Quality-of-Service) is increasing, and the spectrum resources for mobile communication are limited. D2D (Device-to-Device) green terminal pass-through communication technology allows users to communicate directly at close range without the need of base station forwarding, so it has low power consumption and low delay. High data rate and high spectral efficiency. Therefore, researchers at home and abroad add D2D communication technology to cellular networks to improve system capacity and maximize the use of limited spectrum resources. D2D communication can bring many advantages. This is because it multiplexes the channel resources of cellular users, but it also brings complex interference problems. In addition, mobile communication terminals are generally handheld devices with limited power, which can easily run out of battery power, which leads to another thorny energy efficiency problem. Aiming at these two problems, this paper studies the D2D communication resource allocation problem to maximize energy efficiency. According to the number of D2D subscriber multiplexed cellular channels, one to one, many to one or two resource multiplexing modes are proposed in this paper. At the same time, in order to further improve the user experience, the paper also considers the personal preferences of all users in the network, and uses iterative power allocation algorithm, nonlinear fractional programming. Lagrangian duality decomposition and KKT condition are used to maximize the energy efficiency of users and to establish user preferences list. Then, by using the method of matching theory, two stable matching algorithms are proposed for two resource reuse modes, which not only obtain the final stable channel multiplexing, but also make the network energy efficiency optimal.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
【参考文献】
相关博士学位论文 前2条
1 冯大权;D2D通信无线资源分配研究[D];电子科技大学;2015年
2 刘子扬;基于认知的蜂窝与D2D混合网络研究[D];北京邮电大学;2013年
，本文编号：2346965
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