協(xié)作通信系統(tǒng)中的中繼選擇與功率分配算法研究
發(fā)布時(shí)間：2019-01-20 12:33
【摘要】：1.引言 與有線通信網(wǎng)絡(luò)相比，無(wú)線通信中的多徑衰落及節(jié)點(diǎn)的移動(dòng)會(huì)導(dǎo)致通信環(huán)境較差，從而嚴(yán)重影響了通信質(zhì)量和傳輸速率。此外無(wú)線通信中的用戶（實(shí)體/節(jié)點(diǎn)）很多（以我國(guó)為例，目前為止無(wú)線網(wǎng)絡(luò)用戶大約為有線網(wǎng)絡(luò)用戶的4倍），然而有限的寬帶資源和豐富的無(wú)線網(wǎng)絡(luò)業(yè)務(wù)對(duì)傳輸速率和通信質(zhì)量都有較高的要求。所以，無(wú)線通信技術(shù)目前正面臨著前所未有的巨大挑戰(zhàn)。 傳統(tǒng)的點(diǎn)到點(diǎn)無(wú)線通信技術(shù)已經(jīng)接近香濃極限，必須探索超越傳統(tǒng)點(diǎn)到點(diǎn)通信技術(shù)的新技術(shù)和新方案。由于無(wú)線通信信道具有的開(kāi)放性（空域）和廣播特性（信息傳輸），可以充分借助這兩個(gè)特點(diǎn)來(lái)解決目前技術(shù)中出現(xiàn)的問(wèn)題。在這個(gè)過(guò)程中協(xié)作通信技術(shù)應(yīng)運(yùn)而生，協(xié)作通信技術(shù)通過(guò)合作伙伴共享天線資源，形成虛擬的天線陣列，從而獲得空間分集，它可以有效的抵抗信道衰落，成為無(wú)線通信領(lǐng)域的研究熱點(diǎn)，本文以國(guó)家自然科學(xué)基金“基于控制論和矩陣攝動(dòng)理論的認(rèn)知無(wú)線電系統(tǒng)動(dòng)態(tài)資源分配問(wèn)題研究(61171079)”為研究背景，作為延伸課題探究協(xié)作通信技術(shù)應(yīng)用到無(wú)線通信網(wǎng)絡(luò)的巨大潛力。 本文針對(duì)當(dāng)前協(xié)作通信的發(fā)展趨勢(shì)以及多中繼協(xié)作通信的中繼選擇算法存在的問(wèn)題，提出了一種基于中斷概率的中繼選擇與功率分配算法。該算法在總功率受限情況下，完成了中繼選擇和功率優(yōu)化，優(yōu)化系統(tǒng)中斷性能的同時(shí)提升了功率效率。盡管已有一些多中繼協(xié)作網(wǎng)絡(luò)的中繼選擇算法，但是這些算法都是基于等功率分配AF協(xié)作系統(tǒng)的中繼選擇，忽略了在等功率分配的假設(shè)下選擇出的中繼集合對(duì)系統(tǒng)性能的影響�；谏鲜隹紤]，本文深入研究了功率優(yōu)化后的中繼選擇技術(shù)在AF協(xié)作網(wǎng)絡(luò)中的應(yīng)用，提出了一種新穎的、低復(fù)雜度的快速中繼選擇與功率分配算法。 2.基于中斷概率的中繼選擇與功率分配算法 本文提出一種在功率受限條件下，AF協(xié)作系統(tǒng)中基于中斷概率的低復(fù)雜度的快速中繼選擇與功率分配算法，第一步進(jìn)行全局功率優(yōu)化，通過(guò)對(duì)源節(jié)點(diǎn)和所有潛在的中繼節(jié)點(diǎn)進(jìn)行功率優(yōu)化，使信道條件好的中繼節(jié)點(diǎn)更快的被選擇出來(lái)，得到充分利用；第二步完成中繼選擇，結(jié)合當(dāng)前的信噪比選擇最優(yōu)的中繼節(jié)點(diǎn)集合；第三步進(jìn)行功率分配，這是一個(gè)求解具有限制條件的凸優(yōu)化問(wèn)題，通過(guò)最速下降法和拉格朗日乘子法求出使系統(tǒng)中斷概率最小的功率分配因子，從而實(shí)現(xiàn)系統(tǒng)中斷概率的最小化，，同時(shí)提高了功率效率。 3.仿真結(jié)果及性能分析 仿真結(jié)果表明，本文所提出的快速中繼選擇和功率分配算法突破了等功率條件下中繼選擇的局限，排除了其對(duì)系統(tǒng)性能的影響，明顯優(yōu)化了系統(tǒng)中斷性能，提升了功率效率。為多中繼協(xié)作通信系統(tǒng)中的中繼選擇提供了創(chuàng)新的思維。
[Abstract]:1. Compared with wired communication networks, multipath fading and node mobility in wireless communication will lead to poor communication environment, which will seriously affect the communication quality and transmission rate. In addition, there are many users (entities / nodes) in wireless communications (take our country as an example, the number of wireless network users so far is about four times that of wired network users), However, limited broadband resources and abundant wireless network services require high transmission rate and communication quality. Therefore, wireless communication technology is facing unprecedented challenges. The traditional point-to-point wireless communication technology is close to the limit of fragrance, so it is necessary to explore new technologies and schemes beyond the traditional point-to-point communication technology. Due to the openness (airspace) and broadcast (information transmission) of wireless communication channel, these two characteristics can be fully used to solve the problems in the current technology. In this process, the cooperative communication technology emerges as the times require. The cooperative communication technology forms virtual antenna array by sharing antenna resources with partners, thus obtaining spatial diversity, which can effectively resist channel fading. It has become a hot topic in the field of wireless communication. In this paper, the National Natural Science Foundation of China, "Research on dynamic Resource allocation in Cognitive Radio Systems based on Cybernetics and Matrix perturbation Theory (61171079)", is the background of the research. As an extension of the topic, explore the great potential of cooperative communication technology in wireless communication networks. In this paper, a relay selection and power allocation algorithm based on outage probability is proposed to solve the problems of the current development trend of cooperative communication and the problems of relay selection algorithm for multi-relay cooperative communication. The algorithm achieves relay selection and power optimization in the case of total power constraints, and improves power efficiency while optimizing system interrupt performance. Although there are some relay selection algorithms for multi-relay cooperative networks, these algorithms are based on the relay selection of AF cooperative systems with equal power allocation, ignoring the influence of the relay set selected under the assumption of equal power allocation on the system performance. Based on the above considerations, this paper studies the application of power optimized relay selection technology in AF cooperative networks, and proposes a novel, low-complexity fast relay selection and power allocation algorithm. 2. Relay selection and Power allocation algorithm based on interrupt probability this paper presents a fast relay selection and power allocation algorithm based on interrupt probability in AF collaboration system with low complexity. The first step is to optimize the global power by optimizing the power of the source node and all the potential relay nodes so that the relay nodes with good channel conditions can be selected more quickly and fully utilized. The second step is to complete relay selection and select the optimal set of relay nodes combined with the current signal-to-noise ratio (SNR). The third step is power allocation, which is a convex optimization problem with limited conditions. By using the steepest descent method and Lagrange multiplier method, the power distribution factor with the minimum interruption probability of the system is obtained. Thus the system interrupt probability is minimized and power efficiency is improved. 3. The simulation results and performance analysis show that the proposed fast relay selection and power allocation algorithms break through the limitation of relay selection under the condition of equal power and exclude the influence on system performance. The system interrupt performance is obviously optimized and power efficiency is improved. It provides innovative thinking for relay selection in multi-relay cooperative communication systems.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN92
本文編號(hào)：2412044
[Abstract]:1. Compared with wired communication networks, multipath fading and node mobility in wireless communication will lead to poor communication environment, which will seriously affect the communication quality and transmission rate. In addition, there are many users (entities / nodes) in wireless communications (take our country as an example, the number of wireless network users so far is about four times that of wired network users), However, limited broadband resources and abundant wireless network services require high transmission rate and communication quality. Therefore, wireless communication technology is facing unprecedented challenges. The traditional point-to-point wireless communication technology is close to the limit of fragrance, so it is necessary to explore new technologies and schemes beyond the traditional point-to-point communication technology. Due to the openness (airspace) and broadcast (information transmission) of wireless communication channel, these two characteristics can be fully used to solve the problems in the current technology. In this process, the cooperative communication technology emerges as the times require. The cooperative communication technology forms virtual antenna array by sharing antenna resources with partners, thus obtaining spatial diversity, which can effectively resist channel fading. It has become a hot topic in the field of wireless communication. In this paper, the National Natural Science Foundation of China, "Research on dynamic Resource allocation in Cognitive Radio Systems based on Cybernetics and Matrix perturbation Theory (61171079)", is the background of the research. As an extension of the topic, explore the great potential of cooperative communication technology in wireless communication networks. In this paper, a relay selection and power allocation algorithm based on outage probability is proposed to solve the problems of the current development trend of cooperative communication and the problems of relay selection algorithm for multi-relay cooperative communication. The algorithm achieves relay selection and power optimization in the case of total power constraints, and improves power efficiency while optimizing system interrupt performance. Although there are some relay selection algorithms for multi-relay cooperative networks, these algorithms are based on the relay selection of AF cooperative systems with equal power allocation, ignoring the influence of the relay set selected under the assumption of equal power allocation on the system performance. Based on the above considerations, this paper studies the application of power optimized relay selection technology in AF cooperative networks, and proposes a novel, low-complexity fast relay selection and power allocation algorithm. 2. Relay selection and Power allocation algorithm based on interrupt probability this paper presents a fast relay selection and power allocation algorithm based on interrupt probability in AF collaboration system with low complexity. The first step is to optimize the global power by optimizing the power of the source node and all the potential relay nodes so that the relay nodes with good channel conditions can be selected more quickly and fully utilized. The second step is to complete relay selection and select the optimal set of relay nodes combined with the current signal-to-noise ratio (SNR). The third step is power allocation, which is a convex optimization problem with limited conditions. By using the steepest descent method and Lagrange multiplier method, the power distribution factor with the minimum interruption probability of the system is obtained. Thus the system interrupt probability is minimized and power efficiency is improved. 3. The simulation results and performance analysis show that the proposed fast relay selection and power allocation algorithms break through the limitation of relay selection under the condition of equal power and exclude the influence on system performance. The system interrupt performance is obviously optimized and power efficiency is improved. It provides innovative thinking for relay selection in multi-relay cooperative communication systems.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN92
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 王昭然;謝顯中;趙鼎新;;車載自組織網(wǎng)絡(luò)關(guān)鍵技術(shù)[J];電信科學(xué);2011年01期
本文編號(hào)：2412044
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