本文選題：大規(guī)模MIMO　切入點(diǎn)：量化預(yù)編碼　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：為了滿足未來(lái)無(wú)線數(shù)據(jù)傳輸爆炸式的增長(zhǎng),5G(第五代移動(dòng)通信技術(shù))移動(dòng)通信系統(tǒng)對(duì)頻譜效率和能耗效率提出了更高的要求。在5G關(guān)鍵技術(shù)探索中,大規(guī)模MIMO(Massive MIMO)技術(shù)能夠深度挖掘空間維度無(wú)線資源,大幅度提升無(wú)線通信系統(tǒng)的頻譜效率和能耗效率,脫穎而出,成為支撐未來(lái)新一代寬帶綠色移動(dòng)通信最具潛力的研究方向之一。而有關(guān)研究工作尚處于起步階段,存在著具有挑戰(zhàn)性的基礎(chǔ)理論和關(guān)鍵技術(shù)問(wèn)題有待深入系統(tǒng)的研究。因此需要在此領(lǐng)域展開大規(guī)模MIMO無(wú)線通信理論和技術(shù)研究,包括復(fù)雜無(wú)線環(huán)境中大規(guī)模MIMO信道模型和信道容量分析、信道狀態(tài)信息獲取理論和技術(shù)等。本文首先介紹了多天線技術(shù)的演進(jìn)及下行多用戶MIMO關(guān)鍵技術(shù),探討了新型的多天線技術(shù)在信息理論容量、下行預(yù)編碼技術(shù)、空間信道模型、信道估計(jì)、信道檢測(cè)等方面的研究現(xiàn)狀,以及大規(guī)模MIMO在這些關(guān)鍵技術(shù)問(wèn)題上面臨的挑戰(zhàn)。然后對(duì)大規(guī)模MIMO下行有限反饋預(yù)編碼技術(shù)展開研究,提出了優(yōu)化信道狀態(tài)信息獲取的方法和有效的用戶選擇算法。所提的優(yōu)化信道狀態(tài)信息獲取的方法通過(guò)對(duì)碼本進(jìn)行子采樣和預(yù)編碼索引值重排,能夠有效地減少反饋的開銷,降低反饋信道傳輸發(fā)生差錯(cuò)所帶來(lái)的性能損失。同時(shí)針對(duì)大規(guī)模MIMO發(fā)射天線數(shù)達(dá)到一定數(shù)量級(jí),傳統(tǒng)的用戶選擇算法復(fù)雜度呈指數(shù)性增加的問(wèn)題,提出了基于量化預(yù)編碼的用戶選擇算法。該算法利用凸優(yōu)化的方法獲取了一組最佳的用戶集,充分考慮了用戶選擇算法復(fù)雜度問(wèn)題和系統(tǒng)性能等問(wèn)題,適用于大規(guī)模MIMO�？紤]到搭建更接近實(shí)際的信道模型對(duì)大規(guī)模MIMO傳輸技術(shù)的研究具有重要影響。因?yàn)橹挥袑?duì)MIMO信道進(jìn)行了足夠精確的建模,建立精確的無(wú)線信道模型來(lái)描述MIMO信道特性,才能更準(zhǔn)確的對(duì)新技術(shù)進(jìn)行鏈路級(jí)或系統(tǒng)級(jí)的仿真。因此本文除了從下行預(yù)編碼方面的優(yōu)化來(lái)適應(yīng)大規(guī)模MIMO的發(fā)展,本文還從信道建模方面著手,搭建了更能描述實(shí)際信道情況的新信道模型。該信道模型充分考慮了垂直維度的信息,擴(kuò)展了當(dāng)前2D信道模型,完成了3D信道建模,并對(duì)該信道模型從下列指標(biāo)進(jìn)行了校驗(yàn),包括用戶分布、耦合損耗,寬帶信干噪比以及特定天線配置下的信道特征值分布情況。這種新的信道模型,實(shí)現(xiàn)了3維空間的信道建模,能夠更精確的描述實(shí)際信道,有利于用來(lái)評(píng)估大規(guī)模MIMO技術(shù)。
[Abstract]:In order to meet the future wireless data transmission explosive growth of 5G (fifth generation mobile communication technology) mobile communication system put forward higher requirements for spectrum efficiency and energy efficiency. Large-scale MIMO(Massive Mimo technology can deeply mine the space dimension wireless resources, greatly improve the spectrum efficiency and energy efficiency of wireless communication system, stand out from the crowd. It has become one of the most promising research directions to support a new generation of broadband green mobile communication in the future. However, the related research work is still in its infancy. There are some challenging basic theories and key technical problems to be deeply and systematically studied, so it is necessary to carry out large-scale MIMO wireless communication theory and technology research in this field. It includes large-scale MIMO channel model and channel capacity analysis in complex wireless environment, channel state information acquisition theory and technology. Firstly, this paper introduces the evolution of multi-antenna technology and the key technologies of downlink multi-user MIMO. The research status of new multi-antenna technology in information theoretical capacity, downlink precoding, spatial channel model, channel estimation, channel detection and so on is discussed. And the challenges faced by large-scale MIMO in these key technical issues. Then, the limited feedback precoding technology for large-scale MIMO downlink is studied. This paper presents a method of optimizing channel state information acquisition and an effective user selection algorithm. The proposed method can effectively reduce the cost of feedback by subsampling the codebook and rearranging the precoded index value. In order to reduce the performance loss caused by the error in the feedback channel transmission, the traditional user selection algorithm complexity increases exponentially in view of the fact that the number of large-scale MIMO transmit antennas reaches a certain order of magnitude. A user selection algorithm based on quantization precoding is proposed, which uses convex optimization method to obtain a set of optimal user sets, taking into account the complexity of user selection algorithm and system performance. Considering that building a more realistic channel model has an important impact on the research of large-scale MIMO transmission technology, because only the MIMO channel is modeled accurately enough, Only by establishing an accurate wireless channel model to describe the characteristics of MIMO channel, can the new technology be simulated at link or system level more accurately. Therefore, in addition to optimizing downlink precoding, this paper adapts to the development of large-scale MIMO. From the aspect of channel modeling, a new channel model is built to describe the actual channel situation. The channel model takes full account of the information of vertical dimension, extends the current 2D channel model, and completes the 3D channel modeling. The channel model is verified from the following parameters, including user distribution, coupling loss, wideband signal-to-noise ratio and channel eigenvalue distribution under a particular antenna configuration. The channel modeling in 3D space is realized, which can describe the actual channel more accurately and is helpful to evaluate the large-scale MIMO technology.
【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

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