【摘要】：隨著移動通信的蓬勃發(fā)展,用戶對更高數(shù)據(jù)傳輸速率、更大容量和更高服務(wù)質(zhì)量(Quality-of-Service)的需求不斷增加,而目前用于移動通信的頻譜資源相當有限,頻譜資源緊缺問題日益突出。D2D(Device-to-Device)綠色終端直通通信技術(shù)允許用戶之間近距離直接通信,而不需要基站的轉(zhuǎn)發(fā),具有低功耗、低時延、高數(shù)據(jù)速率及高頻譜效率等優(yōu)點。因此,國內(nèi)外研究學者在蜂窩網(wǎng)絡(luò)下,加入D2D通信技術(shù),以提高系統(tǒng)容量,最大化利用有限的頻譜資源。D2D通信之所以能帶來諸多優(yōu)勢,是由于它通過復(fù)用蜂窩用戶的信道資源,但是這同時會帶來錯綜復(fù)雜的干擾問題。此外,移動通信終端一般為電量有限的手持設(shè)備,電池電量很容易消耗殆盡,這又帶來另一個棘手的能效問題。論文就針對這兩個問題,研究了最大化能效的D2D通信資源分配問題。根據(jù)D2D用戶復(fù)用蜂窩信道的數(shù)量,論文提出了一對一、多對一兩種資源復(fù)用模式。同時,為了進一步提升用戶體驗,論文還考慮了網(wǎng)絡(luò)中所有用戶的個人喜好,并采用迭代功率分配算法、非線性分式規(guī)劃、拉格朗日對偶分解以及KKT條件等理論最大化用戶的能效,建立用戶的喜好列表。然后,利用匹配理論的方法,針對兩種資源復(fù)用模式提出了兩種穩(wěn)定的匹配算法,不僅獲得了最終穩(wěn)定的信道復(fù)用,還使網(wǎng)絡(luò)的能效達到最優(yōu)。
[Abstract]:With the rapid development of mobile communication, the demand for higher data transmission rate, higher capacity and higher quality of service (Quality-of-Service) is increasing, and the spectrum resources for mobile communication are limited. D2D (Device-to-Device) green terminal pass-through communication technology allows users to communicate directly at close range without the need of base station forwarding, so it has low power consumption and low delay. High data rate and high spectral efficiency. Therefore, researchers at home and abroad add D2D communication technology to cellular networks to improve system capacity and maximize the use of limited spectrum resources. D2D communication can bring many advantages. This is because it multiplexes the channel resources of cellular users, but it also brings complex interference problems. In addition, mobile communication terminals are generally handheld devices with limited power, which can easily run out of battery power, which leads to another thorny energy efficiency problem. Aiming at these two problems, this paper studies the D2D communication resource allocation problem to maximize energy efficiency. According to the number of D2D subscriber multiplexed cellular channels, one to one, many to one or two resource multiplexing modes are proposed in this paper. At the same time, in order to further improve the user experience, the paper also considers the personal preferences of all users in the network, and uses iterative power allocation algorithm, nonlinear fractional programming. Lagrangian duality decomposition and KKT condition are used to maximize the energy efficiency of users and to establish user preferences list. Then, by using the method of matching theory, two stable matching algorithms are proposed for two resource reuse modes, which not only obtain the final stable channel multiplexing, but also make the network energy efficiency optimal.
【學位授予單位】：華北電力大學(北京)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5

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相關(guān)博士學位論文 前2條

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本文編號：2346965