本文關(guān)鍵詞： Massive MIMO 能效優(yōu)化方案 下行鏈路 交替迭代　出處：《河北大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：大規(guī)模多輸入多輸出(Multiple-Input Multiple-Output,Massive MIMO)技術(shù)作為未來移動通信中的一項(xiàng)潛在的關(guān)鍵技術(shù)而備受人們關(guān)注;該技術(shù)是傳統(tǒng)MIMO技術(shù)的延伸,它通過在基站側(cè)配置超大規(guī)模的天線陣列,較傳統(tǒng)MIMO利用天線數(shù)量上的優(yōu)勢,進(jìn)一步挖掘了空間維度上的資源,并在同一時(shí)頻資源塊內(nèi)服務(wù)更多用戶,顯著提高了系統(tǒng)的能量效率和頻率效率。但是,在Massive MIMO系統(tǒng)中,需要在基站側(cè)配置與發(fā)射天線相同的射頻鏈路,當(dāng)開啟所有天線進(jìn)行數(shù)據(jù)傳輸時(shí),不僅電路功耗大,并且有很高的傳輸復(fù)雜度,從能效角度考慮,也不能達(dá)到系統(tǒng)最優(yōu)能效。激活基站側(cè)的部分天線并調(diào)節(jié)發(fā)射功率,能夠降低功耗與傳輸復(fù)雜度的同時(shí)實(shí)現(xiàn)較高能效,滿足當(dāng)今社會節(jié)能環(huán)保的需求。本文也以此為依據(jù),針對Massive MIMO的能效優(yōu)化問題做了進(jìn)一步的研究與分析。首先,本文對Massive MIMO的相關(guān)知識進(jìn)行了介紹,包括Massive MIMO的基本應(yīng)用、相關(guān)預(yù)編碼技術(shù);隨后對單用戶與多用戶兩種系統(tǒng)模型進(jìn)行了分析,驗(yàn)證了Massive MIMO系統(tǒng)的優(yōu)勢及線性預(yù)編碼的的可行性,并詳細(xì)介紹了這兩種系統(tǒng)模型下的一些現(xiàn)有能效優(yōu)化方案。然后,具體分析并驗(yàn)證了一種針對單小區(qū)多用戶Massive MIMO系統(tǒng)下行鏈路的能效優(yōu)化方案,該方案基于天線選擇算法,求出使能效最大化的最優(yōu)天線數(shù),并說明當(dāng)天線數(shù)很大的情況下隨機(jī)天線選擇算法性能接近最優(yōu)。經(jīng)過仿真分析,與基站側(cè)天線全部開啟相比,該方案能夠顯著提高系統(tǒng)能效,但通過參數(shù)變化對比看出,該方案僅考慮了發(fā)射天線數(shù)目的優(yōu)化,而沒有考慮基站側(cè)發(fā)射功率調(diào)節(jié)等問題。最后,提出了一種基于多小區(qū)多用戶Massive MIMO下行鏈路的能效優(yōu)化方案,本方案在采用隨機(jī)天線選擇算法的前提下,結(jié)合分?jǐn)?shù)規(guī)劃法,推導(dǎo)出發(fā)射功率、天線數(shù)與能效的關(guān)系式,并給出了一種發(fā)射功率與激活天線數(shù)交替迭代的能效優(yōu)化方案。最后仿真結(jié)果表明,與基站側(cè)所有天線進(jìn)行傳輸相比,本方案在能效方面具有很大的提升,并且與原方案相比,也具有一定的優(yōu)勢。
[Abstract]:Large-scale Multiple-Input Multiple-Output massive MIMO (Multiple-Input Multiple-Output massive MIMO) technology, as a potential key technology in future mobile communications, is an extension of traditional MIMO technology, which is extended by the deployment of large antenna arrays on the base station side. Compared with the traditional MIMO, the advantages of antenna number are used to further excavate the resources in the spatial dimension, and to serve more users in the same time-frequency resource block, which significantly improves the energy efficiency and frequency efficiency of the system. However, in the Massive MIMO system, the energy efficiency and frequency efficiency of the system are greatly improved. It is necessary to configure the same RF link on the base station side as the transmitting antenna. When all the antennas are turned on for data transmission, not only the power consumption of the circuit is high, but also the transmission complexity is very high, which is considered from the point of view of energy efficiency. It can not achieve the optimal energy efficiency of the system. By activating some antennas on the base station side and adjusting the transmission power, it can reduce the power consumption and the transmission complexity and achieve higher energy efficiency, which can meet the needs of energy saving and environmental protection in today's society. The energy efficiency optimization of Massive MIMO is further studied and analyzed. Firstly, the related knowledge of Massive MIMO is introduced, including the basic application of Massive MIMO and the related precoding technology. The advantages of Massive MIMO system and the feasibility of linear precoding are verified, and some existing energy efficiency optimization schemes under these two system models are introduced in detail. An energy efficiency optimization scheme for single cell multi-user Massive MIMO downlink is analyzed and verified. The scheme is based on antenna selection algorithm to obtain the optimal number of antennas to maximize energy efficiency. When the number of antennas is very large, the performance of the random antenna selection algorithm is close to the optimum. Through simulation analysis, compared with the base station antenna open, the scheme can significantly improve the energy efficiency of the system, but through the comparison of the parameters, it can be seen that, The scheme only considers the optimization of the number of transmit antennas, but not the power regulation of the base station side. Finally, an energy efficiency optimization scheme based on multi-cell and multi-user Massive MIMO downlink is proposed. Based on the random antenna selection algorithm and the fractional programming method, the relationship between transmit power, antenna number and energy efficiency is derived. Finally, the simulation results show that compared with the transmission of all antennas on the base station side, the scheme has a great improvement in energy efficiency, and compared with the original scheme. Also has certain superiority.
【學(xué)位授予單位】：河北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN919.3

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