【摘要】：移動互聯(lián)網(wǎng)和物聯(lián)網(wǎng)的蓬勃發(fā)展,為無線通信產(chǎn)業(yè)提供了巨大機(jī)遇,尤其是以無線傳感器網(wǎng)絡(luò)為代表的短距離通信,在智能城市、智能家居和智能交通等新型應(yīng)用領(lǐng)域具有廣闊的發(fā)展前景。無線傳感器網(wǎng)絡(luò)往往能量受限,而且傳感器一般安置在不可觸及的環(huán)境中,當(dāng)傳感器網(wǎng)絡(luò)的電池能量耗竭時,傳感器網(wǎng)絡(luò)的壽命也隨之終結(jié)。通過無線功率傳輸進(jìn)行能量收獲是解決此類無線網(wǎng)絡(luò)能量續(xù)航的潛在方案。 因?yàn)殡姶挪瓤梢宰鳛樾畔⒌妮d體進(jìn)行無線信息傳輸,又可以作為能量的載體進(jìn)行無線功率傳輸,從而可以實(shí)現(xiàn)無線信息與功率聯(lián)合傳輸(SWIPT)。本文總體目標(biāo)是設(shè)計(jì)無線信息與功率聯(lián)合傳輸?shù)恼w架構(gòu),重點(diǎn)研究無線信息與功率聯(lián)合傳輸?shù)娜萘孔顑?yōu)化算法和能效最優(yōu)化算法。 本文主體第一部分介紹了以無線傳感器網(wǎng)絡(luò)為代表的短距離通信的無線信息與功率聯(lián)合傳輸架構(gòu)設(shè)計(jì)�；谡瓗ISO單鏈路研究場景,建立了系統(tǒng)模型；推導(dǎo)了無線信息與功率聯(lián)合傳輸?shù)睦碚撔阅苌辖�；介紹了接收機(jī)架構(gòu)設(shè)計(jì),并對比分析了時分轉(zhuǎn)換接收機(jī)和功率分裂接收機(jī)、分離式接收機(jī)和集成式接收機(jī)的基本結(jié)構(gòu)。 第二部分研究了無線信息與功率聯(lián)合傳輸容量最優(yōu)化問題。首先,基于窄帶MISO單鏈路研究場景,以功率分裂分離式接收機(jī)為基礎(chǔ),建立了最小能量收獲需求約束的容量最優(yōu)化數(shù)學(xué)模型。然后,基于連續(xù)功率分裂因子,通過拉格朗日對偶法求解該最優(yōu)化問題并推導(dǎo)閉式解；基于離散功率分裂因子,通過窮舉法求解該問題并給出具體算法。最后,通過仿真分析了算法可行性和系統(tǒng)性能,并對相關(guān)影響因素進(jìn)行討論。仿真結(jié)果表明,在15KHz帶寬、2.4GHz發(fā)送頻率和43dBm發(fā)送功率下,傳輸距離為1-2m,滿足某些短距離通信要求,同時滿足百Kbps級別的中速數(shù)據(jù)傳輸需求。 第三部分研究了無線信息與功率聯(lián)合傳輸能效最優(yōu)化問題。首先,仍然以窄帶MISO為研究場景,以功率分裂分離式接收機(jī)為基礎(chǔ),基于能效的概念建立了最小能量收獲需求約束和最低QoS需求約束下的能效最優(yōu)化數(shù)學(xué)模型。然后,結(jié)合分式規(guī)劃理論、離散一維搜索和凸優(yōu)化理論求解該最優(yōu)化問題,并給出了具體的迭代求解算法。最后,通過仿真分析了算法可行性和系統(tǒng)性能,并對相關(guān)影響因素進(jìn)行討論。仿真結(jié)果表明,在滿足最小能量收獲需求和最低QoS需求的基礎(chǔ)上,能效最優(yōu)化算法較容量最優(yōu)化算法的系統(tǒng)能效有顯著提升。
[Abstract]:With the rapid development of mobile Internet and Internet of things, there are great opportunities for wireless communication industry, especially short distance communication, represented by wireless sensor networks, in intelligent cities. Intelligent home and intelligent transportation and other new applications have broad prospects for development. Wireless sensor networks (WSN) often have limited energy, and the sensors are usually placed in an unreachable environment. When the battery energy of WSN is exhausted, the lifetime of WSN also ends. Energy gain through wireless power transmission is a potential solution for such wireless networks. Because electromagnetic wave can be used not only as the carrier of information for wireless information transmission, but also as the carrier of energy for wireless power transmission, thus realizing the joint transmission of wireless information and power (SWIPT). The overall goal of this paper is to design the overall framework of wireless information and power joint transmission, focusing on the capacity optimization algorithm and energy efficiency optimization algorithm of wireless information and power joint transmission. The first part of this paper introduces the wireless information and power joint transmission architecture of short distance communication represented by wireless sensor network. Based on the research scene of narrow band MISO single link, the system model is established, the theoretical performance upper bound of wireless information and power joint transmission is derived, the architecture design of receiver is introduced, and the time division conversion receiver and power splitting receiver are compared and analyzed. The basic structure of separate receiver and integrated receiver. In the second part, the joint transmission capacity optimization of wireless information and power is studied. Firstly, based on the research scene of narrow band MISO single link, a capacity optimization model with minimum energy harvesting requirement constraints is established based on the split power receiver. Then, based on the continuous power splitting factor, the Lagrangian dual method is used to solve the optimization problem and the closed solution is derived. Based on the discrete power splitting factor, the exhaustive method is used to solve the problem and the specific algorithm is given. Finally, the feasibility and system performance of the algorithm are analyzed by simulation, and the related factors are discussed. The simulation results show that under the 15KHz bandwidth of 2.4GHz transmission frequency and 43dBm transmission power, the transmission distance is 1-2m, which can meet some requirements of short-range communication, and meet the requirements of mid-speed data transmission of 100 Kbps level at the same time. In the third part, the optimization of energy efficiency of wireless information and power transmission is studied. Firstly, based on the concept of energy efficiency, a mathematical model of energy efficiency optimization under minimum energy gain requirement constraint and minimum QoS requirement constraint is established based on the narrowband MISO research scenario and the power split receiver. Then, combined with fractional programming theory, discrete one-dimensional search and convex optimization theory are used to solve the optimization problem, and a specific iterative algorithm is given. Finally, the feasibility and system performance of the algorithm are analyzed by simulation, and the related factors are discussed. The simulation results show that the energy efficiency optimization algorithm is more efficient than the capacity optimization algorithm on the basis of satisfying the minimum energy harvesting requirement and the minimum QoS requirement.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN92

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本文編號：2250305