基于时隙分配的无线携能通信接收机算法研究

发布时间：2018-05-14 13:33

  本文选题：SWIPT + 无线携能通信　； 参考：《哈尔滨工业大学》2016年硕士论文

【摘要】：当今时代,无线通信业务增长极为迅速,网络大规模化,通信设备多样化。如传感器网络(Wireless Sensor Network,WSN)等许多能量受限网络,虽然耗电量低,但因其网络规模大,仍然存在布线困难、可持续性差等问题。射频信号同时携带信息与能量,无线携能通信(Simultaneous Wireless Information and Power Transfer,SWIPT)技术可以利用信号中携带的能量以及周围空间中的射频信号能量为接收机进行充电,接收机能够同时实现信息传输与能量收集两种功能。但对于同一接收机来说,由于接收信号能量受限,能量与信息速率是两种矛盾的需求,不能同时得到满足,本文研究接收机算法,期望通过合理的资源分配实现能量与速率的折中。首先,本文针对SWIPT系统接收机在能量和信息速率方面需求的矛盾,提出了一种基于时隙分配的接收机算法,用于将接收信号按照既定法则分配给能量接收机与信息接收机,该算法能够达到提高速率与能量折中效果的目的,即信息接收机速率相同时,使能量接收机获得更多的能量,反之亦然。本文着重对2×1 MISO系统下的算法进行了理论分析,并进行了仿真。仿真结果表明,相较于传统的动态能量分配算法,接收机使用本文设计的算法可以获得更好的折中效果,性能更好,这种优势在信道条件较差时表现更加明显。其次,本文所述接收机算法的核心是根据实际需求及客观条件获得合理的门限,因此,针对不同环境下最佳门限获取问题,本文提出了一种最佳门限自适应生成策略,用于应对接收机在速率、能量方面的不同需求,以及不同的信道条件等情况下自适应产生最佳门限。该策略根据客观因素调整迭代终止条件,最终获得最佳门限,进一步提高该接收机算法对于不同环境的适应能力和可移植性。通过仿真,证明了该策略产生门限的最佳性,并对不同需求、不同信道条件下的最佳门限进行了分析。本文研究了基于时隙分配的SWIPT接收机算法,通过接收机合理的资源分配实现了接收机信息速率与收集能量的折中,较早的尝试在SWIPT相关技术方面展开创新性研究。
[Abstract]:Nowadays, wireless communication service grows rapidly, the network becomes large scale and the communication equipment is diversified. Many energy-constrained networks, such as sensor networks, such as Wireless Sensor Network (WSNs), have low power consumption, but because of their large network size, there are still some problems such as difficult wiring and poor sustainability. Radio frequency signals carry information and energy at the same time. Wireless portable Wireless Information and Power transfer technology can charge the receiver with the energy carried in the signal and the energy of the radio frequency signal in the surrounding space. The receiver can realize both information transmission and energy collection simultaneously. However, for the same receiver, because of the limited energy of the received signal, the energy and the information rate are two kinds of contradictory requirements, which can not be satisfied at the same time. In this paper, the algorithm of the receiver is studied. It is expected to achieve a compromise between energy and rate through rational resource allocation. First of all, in view of the contradiction between energy and information rate of SWIPT system receiver, a time slot allocation based receiver algorithm is proposed to distribute the received signal to the energy receiver and the information receiver according to the established rules. This algorithm can improve the efficiency of rate and energy compromise, that is, when the rate of information receiver is the same, the energy receiver can get more energy, and vice versa. This paper focuses on the theoretical analysis and simulation of the algorithm in 2 脳 1 MISO system. The simulation results show that compared with the traditional dynamic energy allocation algorithm, the proposed algorithm can achieve a better compromise effect and better performance, which is more obvious when the channel conditions are poor. Secondly, the core of the receiver algorithm in this paper is to obtain a reasonable threshold according to the actual requirements and objective conditions. Therefore, aiming at the problem of obtaining the optimal threshold in different environments, this paper proposes an adaptive optimal threshold generation strategy. It is used to adaptively generate optimal threshold for receiver under different speed, energy requirements and different channel conditions. The strategy adjusts the iterative termination conditions according to the objective factors, and finally obtains the optimal threshold, and further improves the adaptability and portability of the receiver algorithm to different environments. The simulation results show that the optimal threshold is generated by the strategy and the optimal threshold is analyzed under different requirements and different channel conditions. In this paper, the algorithm of SWIPT receiver based on time slot allocation is studied, and the compromise between receiver information rate and energy collection is realized through reasonable resource allocation of receiver. The innovative research on SWIPT related technology is carried out earlier.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TN851
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本文编号：1888052