下行多小區(qū)多用戶MIMO系統(tǒng)的魯棒性傳輸優(yōu)化
發(fā)布時(shí)間：2019-01-05 22:06
【摘要】：隨著無(wú)線通信的發(fā)展,要求無(wú)線網(wǎng)絡(luò)中能夠容納更多用戶,系統(tǒng)容量更大,用戶服務(wù)質(zhì)量更好,未來(lái)無(wú)線通信系統(tǒng)的目標(biāo)是以最低的頻譜、功耗和硬件復(fù)雜度要求提供各種高品質(zhì)的高速率服務(wù)。在多小區(qū)MIMO系統(tǒng)下行鏈路中,干擾問(wèn)題已經(jīng)成為無(wú)線通信中多天線技術(shù)提升系統(tǒng)性能的一個(gè)主要障礙,一個(gè)基站同時(shí)服務(wù)多個(gè)用戶,會(huì)存在小區(qū)內(nèi)干擾,同時(shí)用戶還會(huì)受到來(lái)自相鄰小區(qū)的干擾,除此之外,還有噪聲干擾。如何對(duì)系統(tǒng)作收發(fā)機(jī)作優(yōu)化,設(shè)計(jì)發(fā)射端預(yù)編碼矩陣和接收機(jī)已經(jīng)成為通信系統(tǒng)的難題之一。傳統(tǒng)方法通常假設(shè)CSI沒(méi)有誤差,然而在實(shí)際情況中,完美的信道估計(jì)是不可實(shí)現(xiàn)的,有誤差的CSI會(huì)顯著降低系統(tǒng)的性能,所以不能直接套用傳統(tǒng)算法。本文討論的正是在多小區(qū)MIMO系統(tǒng)下行鏈路中,當(dāng)信道估計(jì)誤差在一定有界區(qū)域內(nèi),針對(duì)一系列優(yōu)化問(wèn)題,以系統(tǒng)MSE和發(fā)射功率為性能指標(biāo),提出相應(yīng)迭代算法,利用凸優(yōu)化工具包求解,得到最優(yōu)收發(fā)機(jī)設(shè)計(jì)方案。第一部分介紹了課題的背景與研究意義,對(duì)本論文所做的研究工作作了概述,指明了研究方向,描述了魯棒性優(yōu)化及凸優(yōu)化問(wèn)題,為后面的工作提供了理論基礎(chǔ)。第二部分針對(duì)下行多小區(qū)MIMO系統(tǒng),在有信道誤差及發(fā)射功率有約束的情況下,以減小用戶接收信號(hào)MSE為目標(biāo),提出了一種基于凸優(yōu)化理論的魯棒性傳輸設(shè)計(jì)方案。信道誤差是有界的,所以系統(tǒng)的MSE也將在一個(gè)不確定區(qū)域內(nèi),最小化此范圍內(nèi)的最差MSE值,可以得到最優(yōu)預(yù)編碼矩陣和接收機(jī),從而解決一系列MSE優(yōu)化問(wèn)題,包括用戶總MSE最小化、用戶最大MSE最小化。對(duì)于CB場(chǎng)景的優(yōu)化可以直接利用單小區(qū)MIMO場(chǎng)景的方法進(jìn)行擴(kuò)展得到；而在JP傳輸方式中,由于每基站功率單獨(dú)約束,直接優(yōu)化困難,本文以最小化用戶接收信號(hào)MSE的上界為目標(biāo)進(jìn)行優(yōu)化設(shè)計(jì)。仿真結(jié)果表明,當(dāng)CSI有誤差時(shí),對(duì)比傳統(tǒng)的優(yōu)化設(shè)計(jì)方法,基于凸優(yōu)化的收發(fā)機(jī)設(shè)計(jì)方案能夠有效地提高系統(tǒng)性能,降低MSE。在第三部分中,本文換一個(gè)角度,在有信道誤差及系統(tǒng)MSE有約束的情況下,研究以系統(tǒng)傳輸功率為目標(biāo)的魯棒性傳輸優(yōu)化,并提出了基于凸優(yōu)化理論的傳輸方案。同樣,針對(duì)CB場(chǎng)景,可以直接利用單小區(qū)MIMO場(chǎng)景算法擴(kuò)展得到,而針對(duì)JP場(chǎng)景,先對(duì)MSE函數(shù)作縮放,再進(jìn)行優(yōu)化設(shè)計(jì),得到最優(yōu)收發(fā)器設(shè)計(jì)方案。仿真結(jié)果表明,對(duì)比其它相應(yīng)算法,本算法性能有顯著提高。
[Abstract]:With the development of wireless communication, the wireless network is required to accommodate more users, the system capacity is larger, the user quality of service is better, the goal of the future wireless communication system is to use the lowest spectrum. Power consumption and hardware complexity require a variety of high-quality high-rate services. In the downlink of multi-cell MIMO system, interference problem has become a major obstacle for multi-antenna technology in wireless communication to improve system performance. If a base station serves multiple users at the same time, there will be intra-cell interference. At the same time, users will also be affected by the interference from adjacent cells, in addition to noise interference. How to optimize the transceiver and design the transmitter precoding matrix and receiver has become one of the difficult problems in communication system. Traditional methods usually assume that CSI has no error, but in practice, perfect channel estimation is impossible, and CSI with errors can significantly reduce the performance of the system, so the traditional algorithm can not be directly applied. In this paper, in the downlink of multi-cell MIMO system, when the channel estimation error is in a bounded region, for a series of optimization problems, taking the system MSE and transmit power as the performance index, the corresponding iterative algorithm is proposed. The optimal transceiver design scheme is obtained by using convex optimization toolbox. The first part introduces the background and significance of the research, summarizes the research work done in this paper, points out the research direction, describes the robust optimization and convex optimization problems, and provides a theoretical basis for the later work. In the second part, a robust transmission design scheme based on convex optimization theory is proposed for downlink multi-cell MIMO systems with channel errors and transmission power constraints, aiming at reducing user received signal MSE. The channel error is bounded, so the MSE of the system will be minimized in an uncertain region, and the optimal precoding matrix and receiver can be obtained, and a series of MSE optimization problems can be solved. This includes the minimization of the total MSE of the user and the minimization of the maximum MSE of the user. The optimization of CB scene can be directly extended by using the method of single cell MIMO scene. In JP transmission mode, because of the power constraints of each base station, it is difficult to optimize directly. The aim of this paper is to minimize the upper bound of the received signal MSE. The simulation results show that when CSI has errors, compared with the traditional optimization design method, the design scheme based on convex optimization can effectively improve the system performance and reduce the MSE.. In the third part, under the condition of channel error and system MSE constraint, the robust transmission optimization with transmission power as the target is studied, and a transmission scheme based on convex optimization theory is proposed. In the same way, for the CB scene, we can directly use the single-cell MIMO scene algorithm to extend it, while for the JP scene, the MSE function is scaled first, and then the optimal transceiver design scheme is obtained by optimizing the design. Simulation results show that the performance of this algorithm is significantly improved compared with other corresponding algorithms.
【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(lèi)號(hào)】：TN919.3
本文編號(hào)：2402362
[Abstract]:With the development of wireless communication, the wireless network is required to accommodate more users, the system capacity is larger, the user quality of service is better, the goal of the future wireless communication system is to use the lowest spectrum. Power consumption and hardware complexity require a variety of high-quality high-rate services. In the downlink of multi-cell MIMO system, interference problem has become a major obstacle for multi-antenna technology in wireless communication to improve system performance. If a base station serves multiple users at the same time, there will be intra-cell interference. At the same time, users will also be affected by the interference from adjacent cells, in addition to noise interference. How to optimize the transceiver and design the transmitter precoding matrix and receiver has become one of the difficult problems in communication system. Traditional methods usually assume that CSI has no error, but in practice, perfect channel estimation is impossible, and CSI with errors can significantly reduce the performance of the system, so the traditional algorithm can not be directly applied. In this paper, in the downlink of multi-cell MIMO system, when the channel estimation error is in a bounded region, for a series of optimization problems, taking the system MSE and transmit power as the performance index, the corresponding iterative algorithm is proposed. The optimal transceiver design scheme is obtained by using convex optimization toolbox. The first part introduces the background and significance of the research, summarizes the research work done in this paper, points out the research direction, describes the robust optimization and convex optimization problems, and provides a theoretical basis for the later work. In the second part, a robust transmission design scheme based on convex optimization theory is proposed for downlink multi-cell MIMO systems with channel errors and transmission power constraints, aiming at reducing user received signal MSE. The channel error is bounded, so the MSE of the system will be minimized in an uncertain region, and the optimal precoding matrix and receiver can be obtained, and a series of MSE optimization problems can be solved. This includes the minimization of the total MSE of the user and the minimization of the maximum MSE of the user. The optimization of CB scene can be directly extended by using the method of single cell MIMO scene. In JP transmission mode, because of the power constraints of each base station, it is difficult to optimize directly. The aim of this paper is to minimize the upper bound of the received signal MSE. The simulation results show that when CSI has errors, compared with the traditional optimization design method, the design scheme based on convex optimization can effectively improve the system performance and reduce the MSE.. In the third part, under the condition of channel error and system MSE constraint, the robust transmission optimization with transmission power as the target is studied, and a transmission scheme based on convex optimization theory is proposed. In the same way, for the CB scene, we can directly use the single-cell MIMO scene algorithm to extend it, while for the JP scene, the MSE function is scaled first, and then the optimal transceiver design scheme is obtained by optimizing the design. Simulation results show that the performance of this algorithm is significantly improved compared with other corresponding algorithms.
【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(lèi)號(hào)】：TN919.3
【參考文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 劉石堅(jiān);基于協(xié)同波束成形的小區(qū)間干擾管理技術(shù)[D];電子科技大學(xué);2012年
，本文編號(hào)：2402362
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