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異構(gòu)小蜂窩網(wǎng)絡(luò)分布式能量分配技術(shù)研究

發(fā)布時間:2018-08-21 15:00
【摘要】:隨著國內(nèi)外移動用戶和移動寬帶用戶數(shù)的飛速增長,現(xiàn)有的網(wǎng)絡(luò)已無法充分滿足用戶日益增長的需求。異構(gòu)網(wǎng)絡(luò)(Heterogeneous Network,HetNet)通過在現(xiàn)有的宏蜂窩網(wǎng)絡(luò)中插入更小的、可自我配置的小基站,提供了實用的、擴展性強的,且效益高的方式來顯著地提高現(xiàn)有無線網(wǎng)絡(luò)的容量。異構(gòu)網(wǎng)的存在使得無線環(huán)境也變得越來越復(fù)雜,給其無線資源管理帶來很大的難度。同時,大量基站的存在也帶來了大量的能耗。因此,如何合理地分配無線網(wǎng)絡(luò)資源,以更低的能耗提供更高速率成為異構(gòu)蜂窩網(wǎng)絡(luò)中的一個重要研究方向。本文提出了基于非合作博弈的異構(gòu)蜂窩網(wǎng)絡(luò)分布式功率控制方案。所提方案在滿足小蜂窩發(fā)送功率和信息傳輸速率的限制條件下,最大程度地提高小蜂窩到用戶下行鏈路能源利用效率,從而達到以更低的能耗提供更高速率的目的。本文在第一章中,主要介紹了本次課題研究的背景和意義,同時簡單分析了國內(nèi)外研究現(xiàn)狀。本文在第二章中,介紹了博弈論的基礎(chǔ)知識,和博弈論在無線通信中的應(yīng)用。本文在第三章研究了基于非合作博弈的小蜂窩網(wǎng)絡(luò)的分布式功率控制方案。在只考慮同層干擾的情況下,微蜂窩以非合作博弈的方式競爭該資源,并證明了納什均衡的存在性和唯一性,提出了一種迭代式的資源分配算法,通過不斷迭代小蜂窩的發(fā)送功率來優(yōu)化系統(tǒng)能效。仿真結(jié)果表明了該系統(tǒng)模型納什均衡點的存在性并且說明了該算法收斂于納什均衡點。本文在第四章研究了在宏蜂窩和微蜂窩并存的異構(gòu)無線網(wǎng)絡(luò)中,考慮宏蜂窩和微蜂窩共同以非合作博弈的方式競爭資源,為了提高系統(tǒng)能效,提出了一種分布式功率分配方案。所提方案在滿足小蜂窩發(fā)送功率和信息傳輸速率的限制條件下,最大程度地提高小蜂窩到用戶下行鏈路能源利用效率,從而達到以更低的能耗提供更高速率的目的。
[Abstract]:With the rapid growth of the number of mobile users and mobile broadband users at home and abroad, the existing network can no longer fully meet the increasing needs of users. By inserting smaller, self-configurable base stations into existing macrocellular networks, Heterogeneous Network (HetNet) provides a practical, scalable, and cost-effective way to significantly increase the capacity of existing wireless networks. The existence of heterogeneous networks makes the wireless environment more and more complex, which brings great difficulty to its wireless resource management. At the same time, the existence of a large number of base stations also brought a lot of energy consumption. Therefore, how to reasonably allocate wireless network resources and provide higher rates with lower energy consumption has become an important research direction in heterogeneous cellular networks. This paper presents a distributed power control scheme for heterogeneous cellular networks based on non-cooperative games. The proposed scheme can maximize the energy efficiency of the downlink between the small cell and the user under the condition of satisfying the limitation of the transmission power and the rate of information transmission of the small cell, thus achieving the purpose of providing a higher rate with lower energy consumption. In the first chapter, the background and significance of this research are introduced, and the current research situation at home and abroad is briefly analyzed. In the second chapter, the basic knowledge of game theory and the application of game theory in wireless communication are introduced. In chapter 3, the distributed power control scheme for small cellular networks based on non-cooperative game is studied. Under the condition of considering only the same layer interference, the microcellular competes for the resource by non-cooperative game, and proves the existence and uniqueness of Nash equilibrium, and proposes an iterative resource allocation algorithm. The system energy efficiency is optimized by iterating over the transmission power of a small cell. Simulation results show the existence of Nash equilibrium points in the system model and show that the algorithm converges to Nash equilibrium points. In chapter 4, in order to improve system energy efficiency, we propose a distributed power allocation scheme in heterogeneous wireless networks where macro cell and micro cell exist side by side, considering that macro cell and micro cell compete for resources in a non-cooperative game. The proposed scheme can maximize the energy efficiency of the downlink between the small cell and the user under the condition of satisfying the limitation of the transmission power and the rate of information transmission of the small cell, thus achieving the purpose of providing a higher rate with lower energy consumption.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN929.5

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