能量采集中繼網絡的資源分配算法研究
發(fā)布時間：2019-01-16 01:53
【摘要】：隨著移動通信技術的快速發(fā)展,用戶對于網絡質量和數據速率的要求越來越高。協作中繼技術的出現有效解決了小區(qū)邊緣弱覆蓋的問題,提高了數據傳輸速率和用戶體驗感知,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的一種先進技術,可以從周圍環(huán)境的可再生資源中收集能量,從而實現綠色通信的目的。因此,協作中繼技術與能量采集技術的結合是目前的一個研究熱點。本文以具有能量采集功能的多中繼網絡為研究對象,對網絡中的資源分配算法進行了分析,重點對網絡中無線節(jié)點的功率分配、中繼選擇、時間分配和子載波配對等問題進行了研究,并提出了三種資源分配算法。本文的主要研究內容如下:(1)在兩跳多中繼場景下,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)點聯合最大發(fā)送功率受限和采集能量獨立受限為約束條件,以系統(tǒng)中斷概率的最小化為目標構建了優(yōu)化模型,采用拉格朗日乘子法和KKT條件對優(yōu)化模型進行求解,得到了中繼節(jié)點的最優(yōu)發(fā)送功率。通過計算中繼節(jié)點的貢獻因子,選擇出一個最優(yōu)中繼參與協作。除此之外,本文還對中斷概率的下界值進行了推導,給出了中斷概率的下界表達式。仿真結果表明,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,并驗證了中斷概率下界表達式的正確性。(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間優(yōu)化分配算法。該算法中中繼節(jié)點工作在無線能量傳輸的能量采集模式下,基于能量因果性和數據因果性的限制,構建了系統(tǒng)端到端吞吐量最大化的優(yōu)化模型。采用分支定界法對每一個時隙所使用的中繼節(jié)點進行選擇。針對中繼節(jié)點對剩余能量不同的使用情況,分別采用單純形法和獨立求解法對每個時隙中源節(jié)點和中繼節(jié)點的傳輸時間進行最優(yōu)分配,以提高目的節(jié)點接收到的數據量。仿真結果表明,提出的中繼選擇和時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)總容量最大化為優(yōu)化目標,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的聯合優(yōu)化算法。該算法中中繼節(jié)點采用能量分割結構進行信號接收和能量采集,在源節(jié)點最大發(fā)送功率受限的條件下,根據兩跳解碼轉發(fā)協作中繼系統(tǒng)的信道容量,求解出中繼節(jié)點的最優(yōu)能量分割因子,并以此引出等效信道增益以簡化優(yōu)化問題。通過采用拉格朗日對偶規(guī)劃和匈牙利算法對子載波配對和節(jié)點功率分配問題進行了聯合優(yōu)化。仿真結果表明,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.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5
本文編號：2409332
[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.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN929.5
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