【摘要】：隨著無(wú)線通信業(yè)務(wù)的飛速發(fā)展,無(wú)線頻譜資源日益緊缺。另一方面,當(dāng)前狀況下頻譜利用率卻很低。認(rèn)知無(wú)線電技術(shù)被認(rèn)為是提高頻譜資源利用率的有效手段。認(rèn)知無(wú)線電技術(shù)是在保證授權(quán)用戶不會(huì)受到過(guò)度干擾的前提下,允許認(rèn)知用戶感知并伺機(jī)接入周圍的授權(quán)頻譜空洞。為實(shí)現(xiàn)伺機(jī)接入,認(rèn)知無(wú)線電系統(tǒng)的物理層必須具有靈活可變性。OFDM被認(rèn)為是認(rèn)知無(wú)線電最理想的調(diào)制技術(shù),因?yàn)槠湔{(diào)度資源具有高度的靈活性。而隨著高速無(wú)線數(shù)據(jù)業(yè)務(wù)的快速增長(zhǎng),相應(yīng)的能源消耗也越來(lái)越大,導(dǎo)致大量的溫室氣體排放和無(wú)線服務(wù)提供商運(yùn)行費(fèi)用的提高。近年來(lái),要求節(jié)能減排、減少環(huán)境污染和資源浪費(fèi)的綠色通信理念被提出,無(wú)線系統(tǒng)中能量效率的優(yōu)化逐漸成為通信領(lǐng)域研究的新方向,引起了學(xué)術(shù)界和工業(yè)界的廣泛關(guān)注。本文研究了認(rèn)知無(wú)線網(wǎng)絡(luò)中能量有效的資源分配問(wèn)題。主要貢獻(xiàn)包括：1.建立了認(rèn)知無(wú)線網(wǎng)絡(luò)中能量有效資源分配問(wèn)題的一般模型,考慮了實(shí)際系統(tǒng)中的諸多約束,包括發(fā)射功率上限、最小速率要求、用戶間的公平性和對(duì)授權(quán)用戶的干擾限制。為了使構(gòu)建的系統(tǒng)模型更符合實(shí)際系統(tǒng),我們還考慮了信道狀態(tài)信息的不確定性和不完美頻譜感知。2.提出了認(rèn)知網(wǎng)絡(luò)中能量有效的資源分配算法,包括子載波分配和功率分配。我們提出了低復(fù)雜度的啟發(fā)式子載波分配算法,兼顧了目標(biāo)的優(yōu)化和算法復(fù)雜度的降低。對(duì)于功率分配問(wèn)題,我們通過(guò)研究問(wèn)題的數(shù)學(xué)形式提出了一種快速算法,在求得最優(yōu)解的前提下,大大降低了算法復(fù)雜度。3.研究了能量效率和頻譜效率的相互關(guān)系。我們建立和求解了同時(shí)優(yōu)化能量效率和頻譜效率的多目標(biāo)優(yōu)化問(wèn)題。為找到唯一的全局最優(yōu)解,我們提出了一種權(quán)衡能量效率和頻譜效率的優(yōu)化準(zhǔn)則。
[Abstract]:With the rapid development of wireless communication services, wireless spectrum resources are increasingly scarce. On the other hand, the current state of spectrum efficiency is very low. Cognitive radio technology is considered to be an effective means to improve the efficiency of spectrum resources. Cognitive radio technology is to allow cognitive users to perceive and access the surrounding authorization spectrum voids under the premise of ensuring that authorized users are not subject to excessive interference. In order to realize opportunistic access, the physical layer of cognitive radio system must be flexible and changeable. OFDM is considered to be the most ideal modulation technology for cognitive radio because of its high flexibility of scheduling resources. With the rapid growth of high-speed wireless data services, the corresponding energy consumption is also increasing, resulting in a large number of greenhouse gas emissions and the increase of operating costs of wireless service providers. In recent years, the idea of green communication, which requires energy saving and emission reduction, reducing environmental pollution and waste of resources, has been put forward. The optimization of energy efficiency in wireless systems has gradually become a new research direction in the field of communication, and has attracted extensive attention from academia and industry. In this paper, the problem of energy efficient resource allocation in cognitive wireless networks is studied. The main contributions include: 1. A general model of energy efficient resource allocation in cognitive wireless networks is established. Many constraints are considered, including the upper limit of transmit power, the minimum rate requirement, the fairness between users and the interference limitation to authorized users. In order to make the system model more suitable for the real system, we also consider the uncertainty of channel state information and imperfect spectrum perception. An energy efficient resource allocation algorithm in cognitive networks is proposed, including subcarrier allocation and power allocation. We propose a low complexity heuristic subcarrier allocation algorithm, which takes into account the optimization of the target and the reduction of the complexity of the algorithm. For the power allocation problem, we propose a fast algorithm by studying the mathematical form of the problem. On the premise of finding the optimal solution, the complexity of the algorithm is greatly reduced. The relationship between energy efficiency and spectrum efficiency is studied. We establish and solve the multi-objective optimization problem which optimizes both energy efficiency and spectral efficiency. In order to find the unique global optimal solution, we propose an optimal criterion for balancing energy efficiency and spectrum efficiency.
【學(xué)位授予單位】：南京大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN925

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本文編號(hào)：2395096