【摘要】：隨著第五代移動通信、智能終端和物聯網的發展,爆炸式的通信業務量和微型靈巧化的個人通信設備使通信的能量供應方式帶來了新的挑戰。因此,未來的無線通信系統可以運用“開源節流”的思想進行設計。我們一方面要考慮通信設備的能耗問題,降低能源消耗,另一方面尋找新型的能量供應方式。協作通信技術能夠解決能耗問題,能量收集技術可以提供能量來源,將兩者結合,就可以滿足未來無線通信設備對能量的要求。針對目前關于兩者結合的研究在國內外剛剛起步,且存在諸多問題,因此,本文研究了將協作通信與能量收集中的無線能量傳輸、攜能通信相結合,針對實際通信場景進行建模。本文的工作重點是在協作通信的基礎上探究能量收集與傳輸技術的應用。文章中首先研究將能量收集技術應用于多中繼多用戶方案,提出放大轉發協議的多中繼多用戶能量收集協作通信模型。相比于傳統的協作網絡模型,中繼沒有內嵌的能源供應,收集源端發送的能量協作信息傳輸。基于此模型,提出兩步選擇方案,并考慮信道的狀態信息和中繼電池的狀態。推導在該模型下的近似信道容量的封閉表達式,其中電池存儲狀態分別建模為有限和無限馬爾科夫鏈。然后分析推導兩類電池存儲狀態信道容量的封閉表達式,所有的理論推導通過數值結果的仿真驗證,分析各參數對系統產生的影響。最后,在基于三節點的“下行能量傳輸,上行數據傳輸”的無線能量傳輸協作通信網絡模型中,對收集協作(Harvest-then-cooperate,HTC)協議進行研究。基站首先通過廣播方式向源端和中繼節點傳輸能量,源端利用在下行鏈路收集的能量發送信息,中繼節點利用收集的能量將源端的信號協作轉發。考慮延遲有限的傳輸模式,針對所研究系統的傳輸中斷概率,推導在瑞利信道下的系統平均吞吐量,并與采用收集轉發協議的方案吞吐量相對比,仿真結果和理論結果的重合度驗證了理論分析的準確性。
[Abstract]:With the development of the fifth generation mobile communication, intelligent terminal and the Internet of things, explosive communication traffic and micro-dexterous personal communication equipment bring new challenges to the energy supply mode of communication. Therefore, the future wireless communication system can be designed by using the idea of "increasing revenue and reducing expenditure". On the one hand, we should consider the energy consumption of communication equipment and reduce the energy consumption, on the other hand, we should look for new energy supply mode. Cooperative communication technology can solve the problem of energy consumption, energy collection technology can provide energy sources, the combination of the two can meet the future wireless communication equipment energy requirements. In view of the fact that the research on the combination of the two is just beginning at home and abroad, and there are many problems, this paper studies the combination of wireless energy transmission and energy collection in cooperative communication and energy collection. Modeling for actual communication scenarios. The emphasis of this paper is to explore the application of energy collection and transmission technology on the basis of cooperative communication. In this paper, we first study the application of energy collection technology to multi-relay and multi-user schemes, and propose a cooperative communication model of multi-relay and multi-user energy collection based on Amplifier forwarding protocol. Compared with the traditional cooperative network model, relay has no embedded energy supply and collects the energy information transmitted from the source side. Based on this model, a two-step selection scheme is proposed, and the state information of the channel and the status of the relaying battery are considered. The closed expression of the approximate channel capacity under this model is derived in which the battery storage state is modeled as finite and infinite Markov chains respectively. Then, the closed expression of channel capacity of two kinds of battery storage state is analyzed and deduced. All the theoretical derivations are verified by the numerical results, and the influence of each parameter on the system is analyzed. Finally, in the wireless energy transmission cooperative communication network model based on the three-node "downlink energy transmission, uplink data transmission", the collection cooperation (Harvest-then-cooperate,HTC) protocol is studied. At first, the base station transmits energy to the source and relay nodes through broadcast mode. The source uses the energy collected in the downlink to send information, and the relay node uses the energy collected to transmit the signals from the source side. Considering the transmission mode with limited delay, the average throughput of the system under Rayleigh channel is derived for the transmission interruption probability of the studied system, and compared with the throughput of the scheme using the collection and forwarding protocol. The accuracy of the theoretical analysis is verified by the coincidence between the simulation results and the theoretical results.
【學位授予單位】：曲阜師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5

【參考文獻】

相關碩士學位論文 前3條

1 樂人銘;基于協同通信的自適應中繼節點選擇算法研究[D];云南大學;2016年

2 鄭祖翔;基于AMPSK調制的無線攜能通信技術研究[D];東南大學;2015年

3 李松林;基于電磁感應耦合的無線電能傳輸研究[D];電子科技大學;2012年

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本文編號：2314178