新一代無線通信網(wǎng)絡能源—頻譜效率優(yōu)化關鍵技術研究
發(fā)布時間：2019-05-18 17:59
【摘要】：近年來,隨著無線通信技術的發(fā)展,移動通信網(wǎng)絡極大地便捷了人們的生活,也深刻改變了人們的生活方式以及經(jīng)濟、社會運行的方方面面。然而,隨著物聯(lián)網(wǎng)、車聯(lián)網(wǎng)的逐步普及以及人們對高速無線數(shù)據(jù)服務需求的巨大增長,無線通信網(wǎng)絡對傳輸速率以及網(wǎng)絡時延的要求也越來越高。為了實現(xiàn)更快的傳輸速率以及更低的網(wǎng)絡時延,給無線通信技術對能源以及頻譜的利用帶來了巨大的挑戰(zhàn)。事實上,信息通信產(chǎn)業(yè)產(chǎn)生的碳排放量已經(jīng)占整個工業(yè)碳排放量的百分之二左右。巨大的能源消耗不僅對環(huán)境造成破壞,也會造成運營商運營成本的增加,反過來這些成本也會部分轉(zhuǎn)嫁到消費者身上。因此如何提高能源利用效率、降低無線通信網(wǎng)絡對傳統(tǒng)能源的依賴成為近年來無線通信領域國內(nèi)外專家學者研究的熱點。除能源外,頻譜資源在新一代無線通信技術中的稀缺性也變得更加嚴峻。最大化提高頻譜資源利用率,充分挖掘有限頻譜資源的利用潛力,也一直是無線通信技術研究者孜孜不倦的追求。本文研究了新一代無線通信網(wǎng)絡中能源-頻譜效率的優(yōu)化機制。為了提高無線通信技術能源-頻譜效率,降低無線通信網(wǎng)絡對傳統(tǒng)能源依賴,本文對智能電網(wǎng)供能場景下基站非連續(xù)傳輸機制、放大轉(zhuǎn)發(fā)中繼網(wǎng)絡多中繼多用戶場景下中繼信息線性處理機制、中繼通信網(wǎng)絡多中繼多用戶場景下資源分配以及多系統(tǒng)間可再生能源協(xié)作頻譜共享機制等進行了研究。本文的主要貢獻如下:1)研究了智能電網(wǎng)供能場景下OFDMA蜂窩網(wǎng)絡基站非連續(xù)傳輸能效優(yōu)化機制。在分布式智能電網(wǎng)中,由于可再生能源的不連續(xù)性以及存儲的有限性,可再生能源售賣站可提供的電能的量是有限的,并且由于制造設備成本的原因,可再生能源的價格比傳統(tǒng)能源略高,因此無線蜂窩網(wǎng)絡有必要確定從哪些售賣站中購買多少電能從而在最大化運營商收益的同時兼顧到溫室氣體排放。為了降低無線網(wǎng)絡能耗,并降低對環(huán)境的影響,本章建立了基站非連續(xù)傳輸、資源分配和智能電網(wǎng)能源購買的聯(lián)合優(yōu)化模型。為了求解該優(yōu)化問題,提出了一種基于拉格朗日對偶法的次優(yōu)化分布式算法。該算法可以在無線網(wǎng)絡端和智能電網(wǎng)端輪流進行運算,有效降低了問題求解復雜度。仿真結(jié)果表明所提的非連續(xù)傳輸、資源分配以及智能電網(wǎng)購買優(yōu)化機制可以有效降低移動通信網(wǎng)絡的能源消耗以及對傳統(tǒng)能源的依賴。2)研究了 OFDMA放大轉(zhuǎn)發(fā)(AF)中繼網(wǎng)絡多中繼多用戶場景下頻譜效率優(yōu)化問題。首先提出了一種在基站傳輸功率以及中繼功率放大因子固定條件下最優(yōu)的多中繼多用戶場景下的AF中繼信息線性處理機制以最大化系統(tǒng)吞吐量。在此基礎上,通過提出的線性處理機制可以得到最優(yōu)的子載波配對、中繼選擇以及用戶選擇方式。仿真結(jié)果驗證了所提線性處理機制可以有效提高頻譜效率,并在結(jié)合拉格朗日對偶法后可以有效提高系統(tǒng)吞吐量。3)研究了多輸入多輸出(MIMO) OFDMA中繼網(wǎng)絡多中繼多用戶場景下的能量-頻譜效率聯(lián)合優(yōu)化問題。建立了對中繼選擇、子載波配對、傳輸模式選擇、信道用戶分配以及功率分配進行聯(lián)合優(yōu)化的數(shù)學模型。由于所建模型為混合整數(shù)規(guī)劃問題,并且在0-1變量中存在四階張量,因此所建優(yōu)化問題在求解時存在較大的難度。在拉格朗日對偶算法基礎上,通過提出四階張量分解技術,將四階張量分解為一個矩陣和若干向量的乘積,進而將原問題轉(zhuǎn)化為一個主線性規(guī)劃問題和若干簡單的線性規(guī)劃子問題。最后利用線性規(guī)劃算法對這些子問題逐一求解,降低了問題求解復雜度,并且進一步證明了所提算法保留了較強的拉格朗日對偶性。仿真實驗表明了所提算法能夠有效地提高MIMO OFDMA中繼系統(tǒng)吞吐量。4)研究了多系統(tǒng)間可再生能源協(xié)作與頻譜資源共享機制以提高可再生能源利用效率和頻譜效率。由于地理位置及傳輸負載的差異,不同無線系統(tǒng)可利用的可再生能源以及對可再生能源的需求是不同的。這會造成可再生能源較大的浪費�；诖�,提出了一種多系統(tǒng)間可再生能源協(xié)作機制。為了提高系統(tǒng)頻譜效率,提出了一種基于載波聚合技術的頻譜共享機制,并將聯(lián)合能源協(xié)作與頻譜共享機制與傳輸功率優(yōu)化等相結(jié)合,降低小區(qū)間干擾,最大化能源-頻譜效率。由于所建模型為多目標優(yōu)化問題,提出了一種基于單純形支配的MOEA/D-M2M多目標進化算法,對該問題進行了求解。仿真結(jié)果驗證了通過系統(tǒng)間可再生能源協(xié)作與頻譜共享機制,可再生能源的利用率和系統(tǒng)頻譜效率有了較大幅度的提高。
[Abstract]:In recent years, with the development of the wireless communication technology, the mobile communication network has a great convenience for people's life, and has also profoundly changed the way of life and all aspects of the economic and social operation. However, with the Internet of things, the gradual popularization of the Internet of things and the great growth of the demand for high-speed wireless data services, the demand of the wireless communication network to the transmission rate and the network time delay is also higher and higher. In order to achieve a faster transmission rate and lower network delay, the use of energy and frequency spectrum is a great challenge for wireless communication technology. In fact, the carbon emissions from the information communications industry have accounted for about two percent of the total industrial carbon emissions. The huge energy consumption not only causes damage to the environment, but also leads to an increase in the operation cost of the operator, which in turn will be partly transferred to the consumer. Therefore, how to improve the energy utilization efficiency and reduce the dependence of the wireless communication network on the traditional energy is the hot spot of the research of experts and scholars both at home and abroad in the field of wireless communication in recent years. In addition to energy, the scarcity of spectrum resources in a new generation of wireless communication technologies has also become more severe. Maximizing the utilization of spectrum resources, and fully mining the utilization potential of the limited spectrum resources, has been the assiduously pursued by the researchers of the wireless communication technology. In this paper, the optimal mechanism of energy-spectral efficiency in a new generation of wireless communication network is studied. in ord to improve that energy-frequency spectrum efficiency of the wireless communication technology and reduce the traditional energy dependence of the wireless communication network, In this paper, the resource allocation in the multi-relay multi-user scenario of the relay communication network and the cooperative spectrum sharing mechanism of the multi-system and the renewable energy are studied. The main contributions of this paper are as follows:1) The non-continuous energy efficiency optimization mechanism of the OFDMA cellular network base station under the power supply scenario of the intelligent power grid is studied. In the distributed intelligent power grid, due to the discontinuity of the renewable energy and the limitation of the storage, the amount of electric energy that the renewable energy selling station can provide is limited, and the price of the renewable energy is slightly higher than that of the conventional energy due to the cost of the manufacturing equipment, Therefore, it is necessary for the wireless cellular network to determine which power to purchase from which of the vending stations to take into account the greenhouse gas emissions while maximizing operator revenue. In order to reduce the energy consumption of the wireless network and reduce the influence on the environment, this chapter establishes a joint optimization model of the non-continuous transmission, the resource allocation and the energy purchase of the intelligent power grid. In order to solve this problem, a distributed algorithm based on the Lagrange dual method is proposed. The algorithm can be carried out in turn at the wireless network end and the intelligent power grid end, and the problem solving complexity is effectively reduced. the simulation results show that the proposed discontinuous transmission, The resource allocation and the intelligent power grid purchase optimization mechanism can effectively reduce the energy consumption of the mobile communication network and the dependence on the traditional energy source. First, a linear processing mechanism of AF relay information in multi-relay multi-user scene, which is optimal under the condition of base station transmission power and relay power amplification factor, is proposed to maximize the system throughput. On this basis, the optimal subcarrier pairing, relay selection and user selection can be obtained by the proposed linear processing mechanism. the simulation results verify that the proposed linear processing mechanism can effectively improve the spectral efficiency, And the energy-spectral efficiency joint optimization problem in a multi-input multi-output (MIMO) OFDMA relay network multi-relay multi-user scene can be effectively improved after combining the Lagrange dual method. A mathematical model for joint optimization of relay selection, sub-carrier pairing, transmission mode selection, channel user allocation and power distribution is established. Because the model is a mixed integer programming problem, and the fourth-order tensor is present in the 0-1 variable, the optimization problem has a great difficulty in solving the problem. On the basis of the Lagrange dual algorithm, the fourth-order tensor is decomposed into a product of a matrix and a number of vectors by the fourth-order tensor decomposition technique, and then the original problem is converted into a main linear programming problem and a number of simple linear programming sub-problems. Finally, using the linear programming algorithm to solve these sub-problems one by one, the solution complexity of the problem is reduced, and it is further proved that the proposed algorithm retains the strong Lagrange duality. The simulation experiments show that the proposed algorithm can effectively improve the throughput of the MIMO OFDMA relay system. Due to the difference in geographical location and transmission load, the renewable energy available for different wireless systems and the need for renewable energy are different. This can lead to a considerable waste of renewable energy. Based on this, a multi-system renewable energy cooperation mechanism is proposed. In order to improve the spectral efficiency of the system, a spectrum sharing mechanism based on carrier aggregation technology is proposed, and the combined energy cooperation and the spectrum sharing mechanism are combined with the transmission power optimization, so as to reduce the inter-cell interference and maximize the energy-spectrum efficiency. In order to solve the problem of multi-objective optimization, a method of MOEA/ D-M2M multi-target evolution based on simplex is proposed, and the problem is solved. The simulation results show that the utilization rate of the renewable energy and the spectral efficiency of the system are greatly improved through the cooperation of the renewable energy in the system and the frequency spectrum sharing mechanism.
【學位授予單位】：廣東工業(yè)大學
【學位級別】：博士
【學位授予年份】：2017
【分類號】：TN929.5
本文編號：2480212
[Abstract]:In recent years, with the development of the wireless communication technology, the mobile communication network has a great convenience for people's life, and has also profoundly changed the way of life and all aspects of the economic and social operation. However, with the Internet of things, the gradual popularization of the Internet of things and the great growth of the demand for high-speed wireless data services, the demand of the wireless communication network to the transmission rate and the network time delay is also higher and higher. In order to achieve a faster transmission rate and lower network delay, the use of energy and frequency spectrum is a great challenge for wireless communication technology. In fact, the carbon emissions from the information communications industry have accounted for about two percent of the total industrial carbon emissions. The huge energy consumption not only causes damage to the environment, but also leads to an increase in the operation cost of the operator, which in turn will be partly transferred to the consumer. Therefore, how to improve the energy utilization efficiency and reduce the dependence of the wireless communication network on the traditional energy is the hot spot of the research of experts and scholars both at home and abroad in the field of wireless communication in recent years. In addition to energy, the scarcity of spectrum resources in a new generation of wireless communication technologies has also become more severe. Maximizing the utilization of spectrum resources, and fully mining the utilization potential of the limited spectrum resources, has been the assiduously pursued by the researchers of the wireless communication technology. In this paper, the optimal mechanism of energy-spectral efficiency in a new generation of wireless communication network is studied. in ord to improve that energy-frequency spectrum efficiency of the wireless communication technology and reduce the traditional energy dependence of the wireless communication network, In this paper, the resource allocation in the multi-relay multi-user scenario of the relay communication network and the cooperative spectrum sharing mechanism of the multi-system and the renewable energy are studied. The main contributions of this paper are as follows:1) The non-continuous energy efficiency optimization mechanism of the OFDMA cellular network base station under the power supply scenario of the intelligent power grid is studied. In the distributed intelligent power grid, due to the discontinuity of the renewable energy and the limitation of the storage, the amount of electric energy that the renewable energy selling station can provide is limited, and the price of the renewable energy is slightly higher than that of the conventional energy due to the cost of the manufacturing equipment, Therefore, it is necessary for the wireless cellular network to determine which power to purchase from which of the vending stations to take into account the greenhouse gas emissions while maximizing operator revenue. In order to reduce the energy consumption of the wireless network and reduce the influence on the environment, this chapter establishes a joint optimization model of the non-continuous transmission, the resource allocation and the energy purchase of the intelligent power grid. In order to solve this problem, a distributed algorithm based on the Lagrange dual method is proposed. The algorithm can be carried out in turn at the wireless network end and the intelligent power grid end, and the problem solving complexity is effectively reduced. the simulation results show that the proposed discontinuous transmission, The resource allocation and the intelligent power grid purchase optimization mechanism can effectively reduce the energy consumption of the mobile communication network and the dependence on the traditional energy source. First, a linear processing mechanism of AF relay information in multi-relay multi-user scene, which is optimal under the condition of base station transmission power and relay power amplification factor, is proposed to maximize the system throughput. On this basis, the optimal subcarrier pairing, relay selection and user selection can be obtained by the proposed linear processing mechanism. the simulation results verify that the proposed linear processing mechanism can effectively improve the spectral efficiency, And the energy-spectral efficiency joint optimization problem in a multi-input multi-output (MIMO) OFDMA relay network multi-relay multi-user scene can be effectively improved after combining the Lagrange dual method. A mathematical model for joint optimization of relay selection, sub-carrier pairing, transmission mode selection, channel user allocation and power distribution is established. Because the model is a mixed integer programming problem, and the fourth-order tensor is present in the 0-1 variable, the optimization problem has a great difficulty in solving the problem. On the basis of the Lagrange dual algorithm, the fourth-order tensor is decomposed into a product of a matrix and a number of vectors by the fourth-order tensor decomposition technique, and then the original problem is converted into a main linear programming problem and a number of simple linear programming sub-problems. Finally, using the linear programming algorithm to solve these sub-problems one by one, the solution complexity of the problem is reduced, and it is further proved that the proposed algorithm retains the strong Lagrange duality. The simulation experiments show that the proposed algorithm can effectively improve the throughput of the MIMO OFDMA relay system. Due to the difference in geographical location and transmission load, the renewable energy available for different wireless systems and the need for renewable energy are different. This can lead to a considerable waste of renewable energy. Based on this, a multi-system renewable energy cooperation mechanism is proposed. In order to improve the spectral efficiency of the system, a spectrum sharing mechanism based on carrier aggregation technology is proposed, and the combined energy cooperation and the spectrum sharing mechanism are combined with the transmission power optimization, so as to reduce the inter-cell interference and maximize the energy-spectrum efficiency. In order to solve the problem of multi-objective optimization, a method of MOEA/ D-M2M multi-target evolution based on simplex is proposed, and the problem is solved. The simulation results show that the utilization rate of the renewable energy and the spectral efficiency of the system are greatly improved through the cooperation of the renewable energy in the system and the frequency spectrum sharing mechanism.
【學位授予單位】：廣東工業(yè)大學
【學位級別】：博士
【學位授予年份】：2017
【分類號】：TN929.5
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