發(fā)布時間：2018-04-20 19:09

  本文選題：波束成型 + 收發(fā)機設(shè)計�。� 參考：《浙江大學(xué)》2017年博士論文

【摘要】：近年來,基于能量收集的通信系統(tǒng)受到了學(xué)術(shù)界的廣泛關(guān)注,這種系統(tǒng)可以利用無線電波同時進行信息與能量的傳輸。針對為無線通信系統(tǒng)提供高效持久的能量供應(yīng)這一重要問題,該技術(shù)提供了一種有效的解決方案。因此,學(xué)術(shù)界對信息與能量同傳技術(shù)展開了深入的研究,這也為無線傳輸方案以及策略的設(shè)計和分析帶來了新的可能和挑戰(zhàn)。本文論文主要結(jié)合全雙工技術(shù)和云接入網(wǎng)技術(shù)研究了多種多天線信息與能量同傳系統(tǒng)中的收發(fā)機設(shè)計算法。其中,全雙工技術(shù)是下一代無線移動通信系統(tǒng)中的一種強大有效的技術(shù),相比于傳統(tǒng)的半雙工傳輸技術(shù),全雙工技術(shù)可以使得結(jié)點能夠同時同頻進行信息的發(fā)送和接收,并以此獲得更好的頻譜效率。而云接入網(wǎng)是一種新型的網(wǎng)絡(luò)架構(gòu),可以通過提升頻譜和能量效率來滿足用戶對信息傳輸速率和傳輸質(zhì)量的更高需求。首先,在多用戶多輸入單輸出(Multiple-Input Single-Output,MISO)干擾系統(tǒng)中,論文結(jié)合信息與能量同傳研究了相應(yīng)的收發(fā)機設(shè)計算法。在該系統(tǒng)中,接收端收到的信號可以分成兩部分,一部分用于信息解調(diào),另一部分用于能量收集。本文的目標(biāo)是在接收端信干噪比和能量收集約束下,通過聯(lián)合設(shè)計發(fā)送波束成型向量和接收端功率分裂因子來最小化系統(tǒng)的總傳輸功率。大多數(shù)考慮此類問題的文章中均假設(shè)信道環(huán)境是理想的,但是在實際系統(tǒng)中信道誤差是難以避免的。因此,論文考慮了該系統(tǒng)中的魯棒收發(fā)機設(shè)計算法,并假設(shè)信道響應(yīng)滿足范數(shù)約束誤差模型。論文中提出了三種算法來求解此優(yōu)化問題,其中每種算法都有不同的性能和復(fù)雜度。仿真實驗驗證了所提出算法的魯棒性和高效性。其次,在多用戶MISO中繼系統(tǒng)中,論文研究了面向信息能量同傳的收發(fā)機設(shè)計算法。假設(shè)發(fā)送端和中繼節(jié)點都配置有多根天線,而接收端只配置有一根天線,論文研究了該系統(tǒng)中的聯(lián)合收發(fā)機設(shè)計問題。本論文的主要目標(biāo)是在信干噪比和能量收集約束下,通過聯(lián)合設(shè)計發(fā)送端波束成型向量,中繼處理矩陣和接收端功率分裂因子來最小化發(fā)送端和中繼的總發(fā)送功率。論文利用輪換尋優(yōu)思想和交換中繼思想分別提出了相應(yīng)的非魯棒算法和魯棒算法。特別地,交換中繼的主要思想是在中繼處配置一個含有置換矩陣的碼本,根據(jù)碼本中的每個置換矩陣,都可以設(shè)計一組潛在收發(fā)機(包含發(fā)送波束成型向量,適當(dāng)縮放的中繼置換矩陣和接收端功率分裂因子)。在所有的潛在收發(fā)機中,可以選擇其中總傳輸功率最小的一組作為最終的收發(fā)機。論文通過仿真實驗驗證了所提出算法的高效性。再次,在多輸入多輸出(Multiple-Input Multiple-Output,MIMO)干擾系統(tǒng)中,論文研究了結(jié)合全雙工技術(shù)和信息能量同傳技術(shù)的收發(fā)機設(shè)計算法。為了對系統(tǒng)中的復(fù)雜干擾信號進行緩解和利用,論文考慮了通信系統(tǒng)中兩種重要的效用問題,即功率最小化問題和速率最大化問題。針對這兩種優(yōu)化問題,論文分別提出了相應(yīng)的基于輪換尋優(yōu)的算法和基于固定波束成型器(最大比傳輸波束成型器和最大信漏比波束成型器)的簡化算法。論文用仿真實驗驗證了所提出算法的高效性。最后,論文研究了全雙工云接入網(wǎng)系統(tǒng)中面向信息能量同傳的收發(fā)機設(shè)計算法。在該系統(tǒng)中,一組工作在全雙工模式的遠端無線單元在接收上行鏈路用戶信息的同時,也發(fā)送信息和能量給下行鏈路用戶,其中下行鏈路用戶配置有功率分裂接收機,可以實現(xiàn)信息與能量同傳。論文的目標(biāo)是在上下行服務(wù)質(zhì)量和能量收集的約束下,最小化系統(tǒng)的總能耗。由于優(yōu)化問題中發(fā)送端波束成型向量,上行鏈路發(fā)送功率和下行鏈路功率分裂因子都耦合在一起,因此非常難解。論文提供了三種不同的途徑來求解該聯(lián)合收發(fā)機設(shè)計問題,并得到了相應(yīng)的算法。具體地,在第一種算法中,論文提出了一種基于輪換尋優(yōu)的算法,且利用問題的特殊結(jié)構(gòu),論文證明了盡管優(yōu)化變量耦合在約束中,但是該算法還是能夠收斂到原問題的卡羅需-庫恩-塔克(Karush-Kuhn-Tucker,KKT)解。在第二種算法中,論文利用凹凸規(guī)劃的思想用凸約束來逼近原非凸約束,這樣在算法的每次迭代中只需要求解一個子問題即可。然后,論文提出了兩種啟發(fā)式算法,它們可以在較低復(fù)雜度的情況下達到相當(dāng)不錯的性能。最后,論文通過仿真驗證了所提出的全雙工算法性能相對于半雙工算法有很大的優(yōu)勢。
[Abstract]:In recent years, the communication system based on energy collection has received extensive attention from the academic community. This system can use radio waves to transmit information and energy simultaneously. The technology provides an effective solution for providing efficient and durable energy supply for wireless communication systems. This paper has brought new possibilities and challenges for the design and analysis of wireless transmission schemes and strategies. This paper mainly combines full duplex technology and cloud access network technology to study the transceiver design algorithm in a variety of multi antenna information and energy transmission systems. In this paper, full duplex technology is used. It is a powerful and effective technology in the next generation wireless mobile communication system. Compared with the traditional semi duplex transmission technology, full duplex technology can enable nodes to transmit and receive information at the same time and obtain better spectral efficiency. And cloud access network is a new network architecture, which can be enhanced by increasing the spectrum. And energy efficiency to satisfy the user's higher demand for information transmission rate and transmission quality. First, in the Multiple-Input Single-Output (MISO) interference system, the paper studies the corresponding transceiver design algorithm combined with the information and energy transmission. In this system, the received signals can be divided into two Part, part of it is used for information demodulation, and the other is used for energy collection. The aim of this paper is to minimize the total transmission power by sending beam forming vectors and receiving end power split factors by joint design of signal to noise ratio and energy collection constraints. In most of the articles considering such problems, the channel rings are assumed to be assumed. The boundary is ideal, but the channel error in the actual system is difficult to avoid. Therefore, the paper considers the robust transceiver design algorithm in the system, and assumes that the channel response satisfies the norm constraint error model. Three algorithms are proposed to solve the optimization problem, and each of the algorithms has different performance and complexity. True experiments verify the robustness and efficiency of the proposed algorithm. Secondly, in the multiuser MISO relay system, the paper studies the design algorithm of the transceiver oriented to information energy transmission. It is assumed that both the transmitter and the relay nodes are configured with multiple antennas, while the receiver is only equipped with a sky line. The paper studies the joint transceiver in the system. The main goal of this paper is to minimize the total transmission power of the sending end and relay by combining the design of the transmitting end beamforming vector, the relay processing matrix and the receiver power split factor by combining the signal to noise ratio and the energy collection constraints. In particular, the main idea of switching relay is to configure a codebook containing a permutation matrix in the relay. According to each permutation matrix in the codebook, a set of potential transceivers (including a transmission beam forming vector, a proper scaling relaying permutation matrix and a receiver power split factor) can be designed. In some potential transceivers, a group of the smallest total transmission power can be selected as the final transceiver. The effectiveness of the proposed algorithm is verified by simulation experiments. Again, in the multiple input multiple output (Multiple-Input Multiple-Output, MIMO) interference system, the paper studies the combination of full duplex technology and information energy transmission. In order to alleviate and utilize the complex interference signals in the system, the paper considers two important utility problems in the communication system, namely, the power minimization problem and the rate maximization problem. For these two optimization problems, the paper proposes the corresponding algorithm based on rotation optimization and the fixation based on the fixation. A simplified algorithm for beamforming (maximum ratio transmission beamformer and maximum leaking ratio beamformer). This paper uses simulation experiments to verify the efficiency of the proposed algorithm. Finally, a design algorithm for a transceiver for information energy sharing in full duplex network system is studied. In this system, one group works in full duplex mode. The remote wireless unit also sends information and energy to the downlink user while receiving the uplink user information. The downlink user is configured with a power split receiver and can achieve the simultaneous transmission of information and energy. The goal of the paper is to minimize the total energy consumption of the system under the constraints of the quality of service and energy collection. Because of the transmitting end beamforming vector in the optimization problem, both the uplink transmission power and the downlink power split factor are coupled together, so it is very difficult to solve the problem. This paper provides three different ways to solve the design problem of the joint transceiver and get the corresponding algorithm. Based on the algorithm of rotation optimization, and using the special structure of the problem, the paper proves that although the optimization variable is coupled in the constraint, the algorithm is still able to converge to the original problem Carol Kuhn Tucker (Karush-Kuhn-Tucker, KKT) solution. In the second algorithms, the paper uses the convex constraint to approximate the original non convex algorithm. In this way, we only need to solve a sub problem in each iteration of the algorithm. Then, the paper proposes two heuristic algorithms, which can achieve fairly good performance in the case of low complexity. Finally, the simulation results show that the performance of the proposed full duplex algorithm is superior to the semi duplex algorithm. Potential.

【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2017
【分類號】：TN859

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