【摘要】：隨著移動(dòng)通信技術(shù)的快速發(fā)展,用戶對(duì)于網(wǎng)絡(luò)質(zhì)量和數(shù)據(jù)速率的要求越來越高。協(xié)作中繼技術(shù)的出現(xiàn)有效解決了小區(qū)邊緣弱覆蓋的問題,提高了數(shù)據(jù)傳輸速率和用戶體驗(yàn)感知,并且能夠在一定程度上提供良好的分集增益。能量采集作為近年來出現(xiàn)的一種先進(jìn)技術(shù),可以從周圍環(huán)境的可再生資源中收集能量,從而實(shí)現(xiàn)綠色通信的目的。因此,協(xié)作中繼技術(shù)與能量采集技術(shù)的結(jié)合是目前的一個(gè)研究熱點(diǎn)。本文以具有能量采集功能的多中繼網(wǎng)絡(luò)為研究對(duì)象,對(duì)網(wǎng)絡(luò)中的資源分配算法進(jìn)行了分析,重點(diǎn)對(duì)網(wǎng)絡(luò)中無線節(jié)點(diǎn)的功率分配、中繼選擇、時(shí)間分配和子載波配對(duì)等問題進(jìn)行了研究,并提出了三種資源分配算法。本文的主要研究?jī)?nèi)容如下:(1)在兩跳多中繼場(chǎng)景下,提出了一種包含功率分配和單中繼選擇的資源分配算法。該算法以中繼節(jié)點(diǎn)聯(lián)合最大發(fā)送功率受限和采集能量獨(dú)立受限為約束條件,以系統(tǒng)中斷概率的最小化為目標(biāo)構(gòu)建了優(yōu)化模型,采用拉格朗日乘子法和KKT條件對(duì)優(yōu)化模型進(jìn)行求解,得到了中繼節(jié)點(diǎn)的最優(yōu)發(fā)送功率。通過計(jì)算中繼節(jié)點(diǎn)的貢獻(xiàn)因子,選擇出一個(gè)最優(yōu)中繼參與協(xié)作。除此之外,本文還對(duì)中斷概率的下界值進(jìn)行了推導(dǎo),給出了中斷概率的下界表達(dá)式。仿真結(jié)果表明,提出的功率分配和單中繼選擇算法可以有效降低系統(tǒng)的中斷概率,并驗(yàn)證了中斷概率下界表達(dá)式的正確性。(2)在具有能量采集功能的多中繼系統(tǒng)中,提出了一種能夠提升系統(tǒng)平均吞吐量性能的基于中繼選擇的時(shí)間優(yōu)化分配算法。該算法中中繼節(jié)點(diǎn)工作在無線能量傳輸?shù)哪芰坎杉Ｊ较?基于能量因果性和數(shù)據(jù)因果性的限制,構(gòu)建了系統(tǒng)端到端吞吐量最大化的優(yōu)化模型。采用分支定界法對(duì)每一個(gè)時(shí)隙所使用的中繼節(jié)點(diǎn)進(jìn)行選擇。針對(duì)中繼節(jié)點(diǎn)對(duì)剩余能量不同的使用情況,分別采用單純形法和獨(dú)立求解法對(duì)每個(gè)時(shí)隙中源節(jié)點(diǎn)和中繼節(jié)點(diǎn)的傳輸時(shí)間進(jìn)行最優(yōu)分配,以提高目的節(jié)點(diǎn)接收到的數(shù)據(jù)量。仿真結(jié)果表明,提出的中繼選擇和時(shí)間分配算法可以有效提升系統(tǒng)的平均吞吐量。(3)在能量采集OFDM多中繼系統(tǒng)中,以系統(tǒng)總?cè)萘孔畲蠡癁閮?yōu)化目標(biāo),提出了一種能夠有效提升系統(tǒng)性能的功率分配和子載波配對(duì)的聯(lián)合優(yōu)化算法。該算法中中繼節(jié)點(diǎn)采用能量分割結(jié)構(gòu)進(jìn)行信號(hào)接收和能量采集,在源節(jié)點(diǎn)最大發(fā)送功率受限的條件下,根據(jù)兩跳解碼轉(zhuǎn)發(fā)協(xié)作中繼系統(tǒng)的信道容量,求解出中繼節(jié)點(diǎn)的最優(yōu)能量分割因子,并以此引出等效信道增益以簡(jiǎn)化優(yōu)化問題。通過采用拉格朗日對(duì)偶規(guī)劃和匈牙利算法對(duì)子載波配對(duì)和節(jié)點(diǎn)功率分配問題進(jìn)行了聯(lián)合優(yōu)化。仿真結(jié)果表明,提出的資源分配算法可以有效提升系統(tǒng)的平均容量。
[Abstract]:With the rapid development of mobile communication technology, users demand more and more high network quality and data rate. The emergence of cooperative relay technology effectively solves the problem of weak coverage of cell edge, improves the data transmission rate and user experience perception, and can provide a good diversity gain to a certain extent. As an advanced technology in recent years, energy collection can collect energy from the renewable resources of the surrounding environment, so as to achieve the purpose of green communication. Therefore, the combination of cooperative relay technology and energy acquisition technology is a research hotspot. In this paper, the multi-relay network with the function of energy acquisition is taken as the research object, the resource allocation algorithm in the network is analyzed, and the power allocation and relay selection of the wireless nodes in the network are emphasized. Time allocation and subcarrier pair are studied, and three resource allocation algorithms are proposed. The main contents of this paper are as follows: (1) in the two-hop multi-relay scenario, a resource allocation algorithm including power allocation and single-relay selection is proposed. The algorithm takes the joint maximum transmit power limitation and the acquisition energy independence limitation as the constraint conditions and constructs the optimization model with the objective of minimizing the outage probability of the system. The optimal transmission power of relay node is obtained by using Lagrange multiplier method and KKT condition. By calculating the contribution factor of the relay node, we select an optimal relay to participate in cooperation. In addition, the lower bound of interrupt probability is derived and the expression of the lower bound is given. Simulation results show that the proposed power allocation and single-relay selection algorithms can effectively reduce the interrupt probability of the system, and verify the correctness of the lower bound expression of the interrupt probability. (2) in the multi-relay system with energy acquisition function, An optimal time allocation algorithm based on relay selection is proposed to improve the average throughput performance of the system. Based on the limitation of energy causality and data causality, the optimization model of end-to-end throughput maximization is constructed. The branch and bound method is used to select the relay nodes used in each slot. In order to increase the amount of data received by the destination node, the simplex method and the independent solution method are used to optimize the transmission time of the source node and the relay node in each slot. The simulation results show that the proposed relay selection and time allocation algorithm can effectively improve the average throughput of the system. (3) in the energy acquisition OFDM multi-relay system, the optimization goal is to maximize the total capacity of the system. A joint power allocation and subcarrier pair optimization algorithm is proposed to improve the performance of the system. In this algorithm, the relay node adopts the energy partition structure to receive and collect the signal. Under the condition of the maximum transmit power of the source node, the channel capacity of the cooperative relay system is based on the two-hop decoding and forwarding. The optimal energy partition factor of the relay node is solved and the equivalent channel gain is derived to simplify the optimization problem. The joint optimization of subcarrier pair and node power allocation problem is carried out by using Lagrange dual programming and Hungarian algorithm. Simulation results show that the proposed resource allocation algorithm can effectively increase the average capacity of the system.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5

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本文編號(hào)：2409332