【摘要】：伴隨著無(wú)線移動(dòng)通信技術(shù)的快速發(fā)展,人們對(duì)能夠進(jìn)行及時(shí)可靠的移動(dòng)通信需求愈加顯著。而有限的頻譜資源、能量資源又制約著這一訴求,因此,不斷提高頻譜利用效率和能量利用效率顯得愈加迫切。波束賦形技術(shù)在提升MIMO無(wú)線通信系統(tǒng)容量、抑制干擾,進(jìn)而提升系統(tǒng)頻譜效率方面有著重要的促進(jìn)作用。目前,該技術(shù)已經(jīng)被寫入3GPP協(xié)議。波束賦形技術(shù)通過(guò)對(duì)發(fā)射信號(hào)和接收信號(hào)進(jìn)行必要的處理,使得信干噪比顯著增加,以此提升系統(tǒng)容量和抑制干擾。這種技術(shù)也可以看做是對(duì)發(fā)送信號(hào)的空間濾波：通過(guò)在發(fā)射端設(shè)計(jì)發(fā)射矩陣,使得信號(hào)在盡可能的對(duì)準(zhǔn)期望用戶的前提下,再盡可能的減少對(duì)其它用戶的干擾；通過(guò)在接收端設(shè)計(jì)接收矩陣,使得盡可能的提升期望信號(hào)功率,同時(shí)抑制干擾信號(hào)功率。在完成波束賦形矩陣設(shè)計(jì)后,對(duì)功率進(jìn)行合理有效的分配也是提升系統(tǒng)頻效和能效的關(guān)鍵技術(shù)之一。一方面,提升發(fā)射信號(hào)功率,可以有效的提高系統(tǒng)容量,但是在發(fā)射信號(hào)功率增加到一定程度后,頻譜效率和能量效率不會(huì)再隨著功率的提升而增加。另一方面,本著節(jié)能減排的思想,系統(tǒng)功耗當(dāng)然是越小越好。結(jié)合波束賦形技術(shù),在此基礎(chǔ)上研究系統(tǒng)能量效率,設(shè)計(jì)合理的功率分配協(xié)方差矩陣以期提高系統(tǒng)能量效率,這是值得研究和分析的。在設(shè)計(jì)接收端和發(fā)射端的波束賦形矩陣時(shí),完整的信道信息對(duì)其性能有著極其重要的作用。但是在實(shí)際通信系統(tǒng)中,獲取完整的信道信息比較困難,因此,如何在不完整信道信息情況下設(shè)計(jì)波束賦形矩陣也是值得研究的。本文針對(duì)多用戶MIMO技術(shù)中的波束賦形技術(shù),能效優(yōu)化方面的問(wèn)題進(jìn)行了如下研究：第一章介紹本文研究的意義、廣播信道下的多用戶MIMO波束賦形技術(shù)以及能量效率的研究現(xiàn)狀。第二章介紹波束賦形技術(shù)、能量效率優(yōu)化的常見研究方式方法,介紹本文所需的數(shù)學(xué)優(yōu)化理論,建立系統(tǒng)傳輸模型、功耗模型等等。第三章提出了兩種新的波束賦形算法,分別是基于信號(hào)空間維度波束賦形算法和基于空間距離波束賦形算法。針對(duì)這兩種算法,我們給了發(fā)射端和接收端波束賦形矩陣的閉式解,并且結(jié)合波束賦形算法,分析了能效優(yōu)化的功率分配。最后給出了仿真分析。第四章研究分析了信道信息不完整情況下的基于空間距離和基于信號(hào)空間維度算法的波束賦形矩陣設(shè)計(jì),以及對(duì)能量效率的影響。第五章總結(jié)全文,簡(jiǎn)述下一步研究工作
[Abstract]:With the rapid development of wireless mobile communication technology, the demand for timely and reliable mobile communication becomes more and more obvious. The limited spectrum resources and energy resources restrict this demand, therefore, it is more and more urgent to improve the spectrum utilization efficiency and energy utilization efficiency. Beamforming technology plays an important role in improving the capacity of MIMO wireless communication system, suppressing interference and improving the spectrum efficiency of the system. At present, the technology has been written to the 3GPP protocol. The beamforming technique can increase the signal-to-noise ratio (SNR) by processing the transmitted signal and the received signal, so as to improve the system capacity and suppress the interference. This technology can also be regarded as spatial filtering of the transmitted signal: by designing the transmitting matrix at the transmitting end, the signal can aim at the desired user as much as possible, and then reduce the interference to other users as much as possible; By designing a reception matrix at the receiver, the desired signal power is increased as much as possible, while the interference signal power is suppressed. After the design of beamforming matrix, reasonable and efficient power allocation is also one of the key technologies to improve the frequency and energy efficiency of the system. On the one hand, increasing the transmission signal power can effectively improve the system capacity, but when the transmission signal power increases to a certain extent, the spectrum efficiency and energy efficiency will no longer increase with the increase of the power. On the other hand, in line with the idea of energy saving and emission reduction, the system power consumption is of course the smaller the better. Combined with beamforming technology, the energy efficiency of the system is studied and the reasonable power allocation covariance matrix is designed to improve the energy efficiency of the system, which is worthy of study and analysis. When designing the beamforming matrix of receiver and transmitter, the complete channel information plays an important role in its performance. However, in practical communication systems, it is difficult to obtain complete channel information. Therefore, how to design the beamforming matrix in the case of incomplete channel information is also worth studying. In this paper, the problems of beam forming and energy efficiency optimization in multi-user MIMO technology are studied as follows: in the first chapter, the significance of this research, the research status of multi-user MIMO beamforming technology and energy efficiency in broadcast channel are introduced. The second chapter introduces the beam-forming technology, the common research methods of energy efficiency optimization, introduces the mathematical optimization theory needed in this paper, establishes the system transmission model, power consumption model and so on. In chapter 3, two new beamforming algorithms are proposed, one is based on spatial dimension beamforming algorithm, and the other is based on spatial distance beamforming algorithm. For these two algorithms, we give the closed-form solution of the beamforming matrix at the transmitter and receiver, and analyze the power allocation of energy efficiency optimization by combining the beamforming algorithm. Finally, the simulation analysis is given. In chapter 4, the design of beamforming matrix based on spatial distance and signal spatial dimension algorithm with incomplete channel information is studied and analyzed, and the influence on energy efficiency is also analyzed. Chapter V summarizes the full text, briefly describes the next step of the research work.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 XU Jie;LI ShiChao;QIU Ling;SLIMANE Ben S.;YU ChengWen;;Energy efficient downlink MIMO transmission with linear precoding[J];Science China(Information Sciences);2013年02期

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本文編號(hào)：2468818