發(fā)布時間：2018-05-16 06:25

  本文選題：LTE-A異構(gòu)網(wǎng)絡(luò) + 混合功率模型��； 參考：《東華大學(xué)》2017年碩士論文

【摘要】：近年來,隨著互聯(lián)網(wǎng)和物聯(lián)網(wǎng)的飛速發(fā)展以及無處不在的移動設(shè)備,高速率,低延遲的無線連接的需求出現(xiàn)了前所未有的增長,通信技術(shù)面臨更加嚴(yán)峻的挑戰(zhàn)。異構(gòu)網(wǎng)絡(luò)作為一種很有前景的部署方式已經(jīng)受到多方面的關(guān)注。然而,異構(gòu)網(wǎng)絡(luò)中不同的接入技術(shù)以及不同的網(wǎng)絡(luò)結(jié)構(gòu)部署帶來了更多的干擾問題,因此干擾管理技術(shù)是異構(gòu)網(wǎng)絡(luò)研究中最為關(guān)鍵的技術(shù)之一。首先,根據(jù)未來移動通信技術(shù)發(fā)展面臨的挑戰(zhàn),本文通過分析LTE-A異構(gòu)網(wǎng)絡(luò)的發(fā)展及其關(guān)鍵技術(shù),對干擾管理技術(shù)中的功率控制技術(shù)進(jìn)行了深入的研究,使其在不同的網(wǎng)絡(luò)層中提高通信速率保證用戶的服務(wù)質(zhì)量。其次,在對功率控制技術(shù)的研究中,本文采用了適用于異構(gòu)網(wǎng)絡(luò)并具有高性能自適應(yīng)調(diào)整參數(shù)的混合功率控制模型,通過博弈論的方法建模,根據(jù)納什均衡的理論提出了混合功率控制算法。然而納什均衡的方法并不是最優(yōu)的,因此基于納什均衡的改進(jìn),提出了分布式混合功率控制算法對功率進(jìn)行控制,該算法應(yīng)用斯坦科爾伯格博弈理論,使家庭用戶作為博弈的領(lǐng)導(dǎo)者,宏蜂窩用戶作為博弈的跟隨者,通過對宏蜂窩用戶功率消耗定價(jià),提出基于價(jià)格和功率的分布式混合功率控制算法。在此算法下,宏蜂窩用戶以非合作博弈論的方式最大化自己的效用。本文通過仿真結(jié)果表明與納什均衡對比,斯坦科爾伯格博弈方法能夠更快的收斂、發(fā)送更少的功率,能夠有效的減少干擾,保證相對公平性,更好的保證用戶的服務(wù)質(zhì)量。接下來,為了進(jìn)一步對功率控制技術(shù)進(jìn)行研究,更好的分析納什均衡和斯坦科爾伯格均衡,本文又引入了博弈論中的帕累托效率的概念,通過對混合功率控制模型和帕累托效率的分析,即在不使任何一個參與者變壞的情況下,也不會使任何參與者的效用變好的帕累托概念中,提出帕累托邊界算法,以及納什均衡性能算法和斯坦科爾伯格性能算法。在最優(yōu)的條件下形成帕累托邊界,并根據(jù)納什均衡性能算法和斯坦科爾伯格性能算法,分別計(jì)算了兩種算法在帕累托邊界下的分布。在帕累托效率的研究中,仿真結(jié)果描繪出帕累托邊界,以及納什均衡和斯坦科爾伯格均衡的分布,結(jié)果表明斯坦科爾伯格均衡分布在帕累托邊界上,是有效的方法,即相對公平、分配最佳、達(dá)到最好的結(jié)果。最后,本文對整體工作進(jìn)行了總結(jié)與展望,指出了可以完善的方面及進(jìn)一步研究的方案。
[Abstract]:In recent years, with the rapid development of the Internet of things and ubiquitous mobile devices, high-speed, low-latency wireless connection demand has increased unprecedented, communication technology is facing more serious challenges. As a promising deployment method, heterogeneous networks have attracted much attention. However, different access technologies and different network structures in heterogeneous networks bring more interference problems. Therefore, interference management technology is one of the most important technologies in heterogeneous networks research. Firstly, according to the challenges facing the development of mobile communication technology in the future, this paper analyzes the development of LTE-A heterogeneous network and its key technologies, and makes a deep research on the power control technology in the interference management technology. It can improve the communication rate in different network layers to ensure the quality of service of users. Secondly, in the research of power control technology, the hybrid power control model, which is suitable for heterogeneous networks and with high performance adaptive adjustment parameters, is adopted in this paper, and the model is modeled by the method of game theory. A hybrid power control algorithm is proposed based on Nash equilibrium theory. However, the Nash equilibrium method is not optimal. Therefore, based on the improvement of Nash equilibrium, a distributed hybrid power control algorithm is proposed to control the power. The family user is the leader of the game, and the macro cell user is the follower of the game. By pricing the power consumption of the macro cell user, a distributed hybrid power control algorithm based on price and power is proposed. In this algorithm, macro-cellular users maximize their utility by non-cooperative game theory. The simulation results show that compared with Nash equilibrium, Steinkelberg game method can converge faster, transmit less power, reduce interference effectively, ensure relative fairness, and better guarantee the quality of service of users. Then, in order to further study power control technology and better analyze Nash equilibrium and Steinkelberg equilibrium, this paper introduces the concept of Pareto efficiency in game theory. Based on the analysis of the hybrid power control model and Pareto efficiency, a Pareto boundary algorithm is proposed in the Pareto concept, which does not make any participant worse, nor does it make any participant's utility better. And Nash equalization algorithm and Steinkelberg performance algorithm. The Pareto boundary is formed under the optimal conditions and the distributions of the two algorithms under the Pareto boundary are calculated according to the Nash equalization algorithm and the Steinkerberg performance algorithm. In the study of Pareto efficiency, the simulation results depict the Pareto boundary and the distributions of Nash equilibrium and Steinkelberg equilibrium. The results show that the Stankelberg equilibrium distribution on the Pareto boundary is an effective method. That is, relatively fair, the best distribution, to achieve the best results. Finally, this paper summarizes and prospects the whole work, and points out the aspects that can be perfected and the scheme for further research.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5

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本文編號：1895813