發(fā)布時(shí)間：2019-03-14 12:59

【摘要】：為了解決距離或者障礙物對通信質(zhì)量的影響,無線中繼技術(shù)越來越被人們重視并被廣泛的研究;為了獲得更高的頻譜效率,OFDM技術(shù)也被廣泛應(yīng)用在各種通信場景中。將中繼技術(shù)與OFDM技術(shù)相結(jié)合,可以更加充分的發(fā)揮兩者的優(yōu)勢,改善通信質(zhì)量,提高頻譜利用率,為人們提供滿意的服務(wù)。無線資源分配是中繼OFDM系統(tǒng)的關(guān)鍵技術(shù)之一,對功率和子載波進(jìn)行合理地分配能夠提高系統(tǒng)性能。本文對無線中繼OFDM系統(tǒng)的資源分配算法進(jìn)行了研究,分別從中繼轉(zhuǎn)發(fā)方式、功率分配與子載波配對等方面提出了資源分配的優(yōu)化算法,主要內(nèi)容如下:(1)以最大化系統(tǒng)容量為目標(biāo),在系統(tǒng)總發(fā)射功率受限的情況下,應(yīng)用改進(jìn)型的中繼方式,研究了一種包含功率分配、子載波配對和中繼選擇的資源分配算法,該算法首先使源節(jié)點(diǎn)在第二時(shí)隙通過與相應(yīng)中繼節(jié)點(diǎn)相同的子載波再次發(fā)送直傳信號(hào)給目的節(jié)點(diǎn),為系統(tǒng)提供額外的分集增益,再應(yīng)用最優(yōu)化方法計(jì)算各個(gè)節(jié)點(diǎn)在不同子載波對上的功率,最后應(yīng)用匈牙利算法進(jìn)行子載波配對。設(shè)計(jì)了算法的詳細(xì)步驟并實(shí)現(xiàn)了仿真,分析了功率、子載波對個(gè)數(shù)和中繼個(gè)數(shù)對系統(tǒng)性能的影響。(2)在雙向多中繼OFDM網(wǎng)絡(luò)中,提出了一種功率分配與子載波配對的聯(lián)合算法。與基于中繼選擇的算法不同,本文允許所有中繼轉(zhuǎn)發(fā)同一子載波對,以提高系統(tǒng)的分集增益。該算法在系統(tǒng)總功率受限的條件下,首先應(yīng)用柯西不等式優(yōu)化分配了各個(gè)中繼的最優(yōu)功率,簡化原有的最優(yōu)系統(tǒng)模型;再應(yīng)用二分法,通過最大化子載波對的等效信道增益計(jì)算出源節(jié)點(diǎn)與中繼節(jié)點(diǎn)的功率分配,最后通過凸規(guī)劃分配不同子載波對的功率,并結(jié)合子載波配對獲得系統(tǒng)的最大容量。仿真結(jié)果表明,與最優(yōu)單中繼選擇算法和中繼分用子載波算法相比,該算法的平均信道容量明顯提高。(3)在單中繼多用戶的OFDM系統(tǒng)中,提出了一種最大化系統(tǒng)能量效率的資源分配算法。該算法在最大總功率和最小總傳輸速率的約束下,結(jié)合完整的信道狀態(tài)信息,構(gòu)建了使能量效率最大化的功率和子載波聯(lián)合優(yōu)化問題。由于能量效率的優(yōu)化模型為非線性混合整數(shù)規(guī)劃問題,求解極為復(fù)雜,為了降低該問題的復(fù)雜度,首先采用Dinkelbach方法將該優(yōu)化模型變?yōu)榫�性凸規(guī)劃,然后基于對偶規(guī)劃對簡化后的線性規(guī)劃問題進(jìn)行求解,最后結(jié)合匈牙利算法與次梯度算法求出最優(yōu)解。該算法基于改進(jìn)的DF中繼方式,當(dāng)中繼與源節(jié)點(diǎn)或者中繼與目的節(jié)點(diǎn)之間的信道狀態(tài)較差時(shí),可以動(dòng)態(tài)的決定是否使用中繼輔助傳輸信號(hào),在保證系統(tǒng)業(yè)務(wù)速率需求的前提下,應(yīng)用低復(fù)雜度的方法,大大提高了系統(tǒng)的能量效率。
[Abstract]:In order to solve the influence of distance or obstacle on communication quality, wireless relay technology has been paid more and more attention and widely studied. In order to obtain higher spectrum efficiency, OFDM technology has also been widely used in various communication scenarios. The combination of relay technology and OFDM technology can give full play to the advantages of the two technologies, improve communication quality, improve spectrum efficiency, and provide satisfactory services for people. Radio resource allocation is one of the key technologies in relay OFDM system. Reasonable allocation of power and subcarriers can improve the performance of the system. In this paper, the resource allocation algorithm of wireless relay OFDM system is studied, and the optimization algorithm of resource allocation is proposed from relay forwarding mode, power allocation and sub-carrier matching, and so on. The main contents are as follows: (1) in order to maximize the capacity of the system, an improved relay method is applied to solve the problem of power allocation under the condition that the total transmit power of the system is limited. A resource allocation algorithm for subcarrier pairing and relay selection, which first enables the source node to transmit direct signals to the destination node again in the second time slot via the same subcarrier as the corresponding relay node, providing additional diversity gain for the system. Then the optimal method is used to calculate the power of each node on different sub-carrier pairs. Finally, the Hungarian algorithm is used to carry out the sub-carrier pairs. The detailed steps of the algorithm are designed and simulated, and the influence of power, the number of sub-carrier pairs and the number of relays on the performance of the system is analyzed. (2) in two-way multi-relay OFDM network, the performance of the system is analyzed. A joint algorithm of power allocation and sub-carrier pairing is proposed. Unlike the relay selection-based algorithm, all relays are allowed to forward the same subcarrier pair to improve the diversity gain of the system. Under the condition that the total power of the system is limited, this algorithm firstly optimizes the allocation of the optimal power of each relay by using Cauchy inequality, and simplifies the original optimal system model. Then the power allocation between the source node and the relay node is calculated by maximizing the equivalent channel gain of the sub-carrier pair. Finally, the power of different sub-carrier pairs is allocated by convex programming, and the maximum capacity of the system is obtained by combining the sub-carrier pairs. The simulation results show that compared with the optimal single relay selection algorithm and relay sub-carrier algorithm, the average channel capacity of the proposed algorithm is significantly improved. (3) in a single relay multi-user OFDM system, the average channel capacity of the proposed algorithm is significantly higher than that of the single relay multi-user system. A resource allocation algorithm is proposed to maximize the energy efficiency of the system. Under the constraints of maximum total power and minimum total transmission rate, combined with complete channel state information, this algorithm constructs a joint optimization problem of power and sub-carrier to maximize energy efficiency. Since the optimization model of energy efficiency is a nonlinear mixed integer programming problem, the solution is very complex. In order to reduce the complexity of the problem, the Dinkelbach method is firstly used to transform the optimization model into linear convex programming. Then the simplified linear programming problem is solved based on dual programming. Finally, the optimal solution is obtained by combining the Hungarian algorithm and the sub-gradient algorithm. The algorithm is based on the improved DF relay mode. When the channel state between the relay and the source node or the relay and destination node is poor, it can dynamically determine whether to use the relay auxiliary transmission signal, while guaranteeing the system traffic rate requirements. The energy efficiency of the system is greatly improved by using the method of low complexity.
【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】：2016
【分類號(hào)】：TN929.53

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