面向感知中继系统的无线电资源分配技术研究
发布时间:2018-11-07 10:22
【摘要】:随着无线接入技术的飞速发展以及无线终端设备的日益普及,新的无线业务源源不断地产生,使得频谱资源的使用极度紧张。无线通信系统必须采用更为创新的技术和手段,提高频谱资源使用效率,才能满足日益增长的传输速率需求。感知无线电作为一种提高频谱利用率的技术,它允许感知用户在保护主用户正常传输的前提下,机会地接入主用户的授权频段。本文以频谱资源有限、人们对频谱资源的需求日益增长以及现有频谱分配方式频谱利用率低的客观现实为背景,研究了基于非正交放大转发协作及非完整全局信息的非自私感知协作传输系统(NSCRS)的功率优化分配问题。第二章中首先阐述了为最大化一个非自私共生感知协作传输容量而进行的感知用户的功率优化分配的模型。该模型中,感知用户可以通过为主用户提供非正交放大转发协作来获得激励时间,并用于自身数据的传输。该章节中针对该模型提出了基于完整全局信息的最优功率分配算法,高效利用了频谱资源,提高了系统的吞吐量。同时本文中还提出了一个基于非完整全局信息的次优功率分配算法。该算法在一定的信道状态下可以达到与最优算法近似的效果。除此之外,本文另外还以NSCRS为基础,在基站与感知用户能量受限的条件下提出了一个以能量高效为目的的感知用户时间与能量联合分配优化算法,并以一个新的单位“比特/秒/焦耳”来衡量能量效率,兼顾了系统的数据吞吐量和能量效率。在该模型中,感知网络中的接入点可以控制感知用户辅助主用户传输的时间和用于协作传输的能量使用。以此在完成最低吞吐量的基础上提高系统的全局能量效率。同样的,算法分为完整全局信息的分配算法和非完整全局信息的分配算法,后者在假设的信道状态下同样可以达到前者的性能标准。
[Abstract]:With the rapid development of wireless access technology and the increasing popularity of wireless terminal devices, new wireless services are constantly generated, which makes the use of spectrum resources extremely tight. In order to meet the increasing demand of transmission rate, wireless communication system must adopt more innovative technology and means to improve the efficiency of spectrum resources. As a technology to improve spectrum efficiency, perceptual radio allows the sensing user to access the authorized frequency band of the host user on the premise of protecting the normal transmission of the primary user. This paper is based on the objective reality of limited spectrum resources, increasing demand for spectrum resources and low spectral efficiency of existing spectrum allocation methods. In this paper, the optimal power allocation of (NSCRS) based on nonorthogonal amplification and forwarding cooperation and nonholonomic global information is studied. In the second chapter, a model of optimal power allocation for perceptual users is presented to maximize the cooperative transmission capacity of a non-selfish symbiotic perception. In this model, the perceptual user can obtain the excitation time by providing non-orthogonal amplification and forwarding cooperation, and it can be used for the transmission of its own data. In this chapter, an optimal power allocation algorithm based on complete global information is proposed, which makes efficient use of spectrum resources and improves the throughput of the system. At the same time, a suboptimal power allocation algorithm based on nonholonomic global information is proposed. The algorithm can achieve the same effect as the optimal algorithm in a certain channel state. In addition, on the basis of NSCRS, this paper proposes a joint allocation algorithm of sensing user time and energy for the purpose of energy efficiency under the condition that the energy of the base station and the perceptual user is limited. A new unit of bit / second / joule is used to measure energy efficiency, which takes into account the data throughput and energy efficiency of the system. In this model, the access point in the perceptual network can control the time of sensing the primary user's transmission and the energy used for cooperative transmission. Therefore, the global energy efficiency of the system is improved on the basis of the minimum throughput. Similarly, the algorithm is divided into complete global information allocation algorithm and non-holonomic global information allocation algorithm, the latter can also meet the performance standard of the former under the assumed channel state.
【学位授予单位】:北京理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN014
本文编号:2316055
[Abstract]:With the rapid development of wireless access technology and the increasing popularity of wireless terminal devices, new wireless services are constantly generated, which makes the use of spectrum resources extremely tight. In order to meet the increasing demand of transmission rate, wireless communication system must adopt more innovative technology and means to improve the efficiency of spectrum resources. As a technology to improve spectrum efficiency, perceptual radio allows the sensing user to access the authorized frequency band of the host user on the premise of protecting the normal transmission of the primary user. This paper is based on the objective reality of limited spectrum resources, increasing demand for spectrum resources and low spectral efficiency of existing spectrum allocation methods. In this paper, the optimal power allocation of (NSCRS) based on nonorthogonal amplification and forwarding cooperation and nonholonomic global information is studied. In the second chapter, a model of optimal power allocation for perceptual users is presented to maximize the cooperative transmission capacity of a non-selfish symbiotic perception. In this model, the perceptual user can obtain the excitation time by providing non-orthogonal amplification and forwarding cooperation, and it can be used for the transmission of its own data. In this chapter, an optimal power allocation algorithm based on complete global information is proposed, which makes efficient use of spectrum resources and improves the throughput of the system. At the same time, a suboptimal power allocation algorithm based on nonholonomic global information is proposed. The algorithm can achieve the same effect as the optimal algorithm in a certain channel state. In addition, on the basis of NSCRS, this paper proposes a joint allocation algorithm of sensing user time and energy for the purpose of energy efficiency under the condition that the energy of the base station and the perceptual user is limited. A new unit of bit / second / joule is used to measure energy efficiency, which takes into account the data throughput and energy efficiency of the system. In this model, the access point in the perceptual network can control the time of sensing the primary user's transmission and the energy used for cooperative transmission. Therefore, the global energy efficiency of the system is improved on the basis of the minimum throughput. Similarly, the algorithm is divided into complete global information allocation algorithm and non-holonomic global information allocation algorithm, the latter can also meet the performance standard of the former under the assumed channel state.
【学位授予单位】:北京理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TN014
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