基于干擾管理的多用戶MIMO無線通信系統(tǒng)收發(fā)機設計
發(fā)布時間：2018-09-01 21:10
【摘要】：隨著社會信息化進程的持續(xù)快速發(fā)展,人們對無線通信的需求與日俱增。一方面,不斷提升的無線通信需求對無線通信性能提出了更高的要求。另一方面,無線通信系統(tǒng)性能的進一步提升面臨著頻譜資源有限、干擾日益嚴重化、能量受限和可持續(xù)發(fā)展要求等多方面嚴峻的挑戰(zhàn)。多輸入多輸出(MIMO)技術(shù)在頻譜效率提升、干擾減小和能量效率提升等方面都具有較大的潛力,被公認為未來通信系統(tǒng)的關(guān)鍵技術(shù)之一。相應地,多用戶MIMO通信網(wǎng)絡將成為未來典型通信場景。多用戶MIMO系統(tǒng)性能的提升受限于干擾,因此,如何設計收發(fā)機減小甚至消除干擾成為當前研究的熱點問題。與此同時,以無線能量傳輸為代表的新技術(shù)也將與無線通信不斷融合,并由此帶來系統(tǒng)傳輸結(jié)構(gòu)上的新變化。然而,傳統(tǒng)單用戶收發(fā)機設計方法無法有效抑制多用戶干擾,也難以適應未來新型無線通信傳輸結(jié)構(gòu)上的改變。因此,如何針對多用戶MIMO系統(tǒng)來設計收發(fā)機以對抗多用戶干擾并適應無線能量傳輸?shù)刃滦蛻眯枨笫潜疚难芯康年P(guān)鍵問題。本論文以多天線技術(shù)為核心,以提升頻譜效率和改善能量效率為目標,以干擾對齊、干擾抑制和干擾利用為技術(shù)手段,以挖掘空間傳輸維度和提高資源利用率為途徑,著重研究面向干擾抑制和能量收割的多用戶MIMO收發(fā)機設計理論與方法。所研究的多用戶網(wǎng)絡場景包括MIMO網(wǎng)絡包括干擾信道(IC)、廣播信道(BC)和干擾廣播信道(IBC)等代表性網(wǎng)絡。具體研究內(nèi)容與創(chuàng)新點簡述如下：1)分析了MIMO IC網(wǎng)絡線性干擾對齊可達速率。針對MIMO IC網(wǎng)絡,分析了信道誤差對干擾對齊系統(tǒng)傳輸性能的影響。首先,研究了非相關(guān)瑞利衰落信道條件下信道誤差對遍歷互信息的影響,推導了非完美信道狀態(tài)信息條件下干擾對齊系統(tǒng)遍歷互信息上下界解析表達式,并證明了上下界的緊致性。進而利用所得到的互信息解析界,分析了信道誤差對系統(tǒng)自由度的影響。其次,研究了相關(guān)瑞利衰落信道條件下信道誤差對給定信道實現(xiàn)的可達速率影響,推導了給定信道實現(xiàn)的可達速率上下界解析表達式。該研究結(jié)果對MIMO線性干擾對齊實際系統(tǒng)設計具有理論指導意義。2)研究了MIMO IC網(wǎng)絡魯棒收發(fā)機設計理論與方法。在創(chuàng)新點1)的基礎上,針對具有高斯信道誤差的MIMO IC網(wǎng)絡,分別提出了基于隨機統(tǒng)計和概率約束的魯棒收發(fā)機設計方案,并相應地設計了收發(fā)機優(yōu)化算法。首先,利用信道的上下行互易性,提出了一種基于平均信號與干擾噪聲比(SINR)最大化的魯棒收發(fā)機設計算法。該算法屬于隨機統(tǒng)計的魯棒收發(fā)機設計,具有較低的運算復雜度,但是所實現(xiàn)的性能仍有改進空間。為了進一步提升系統(tǒng)傳輸性能,本文又提出了一種基于概率約束的魯棒收發(fā)機設計算法。所提概率約束魯棒設計方法的設計思路為在約束較大的干擾和噪聲功率出現(xiàn)概率的前提下,優(yōu)化收發(fā)機以最大化期望信號的平均功率。與傳統(tǒng)收發(fā)機設計方法相比,所提魯棒收發(fā)機設計方法可顯著改善MIMO IC系統(tǒng)的可達傳輸速率。3)研究了MIMO IBC網(wǎng)絡干擾對齊收發(fā)機設計理論與技術(shù)。針對未來典型的多小區(qū)多用戶MIMO傳輸場景,研究了兼顧用戶公平性的IBC網(wǎng)絡干擾對齊收發(fā)機設計方法。以優(yōu)化整個網(wǎng)絡中最差用戶的均方誤差為目標,本文提出了一種最小化最大(Min-Max)均方誤差收發(fā)機設計方案,并提出了基于二階錐規(guī)劃(SOCP)的收發(fā)機交替迭代優(yōu)化算法。理論分析證明了所提算法的收斂性。仿真結(jié)果表明在強干擾對齊可行條件下,所提算法可獲得干擾對齊解。與已有算法相比,所提算法在犧牲少量和速率的前提下,可顯著改善用戶的公平性。此外,考慮到實際通信系統(tǒng)難以獲得完美信道狀態(tài)信息,本文還提出了一種魯棒式Min-Max均方誤差收發(fā)機設計算法。仿真結(jié)果表明所提魯棒式算法可有效改善非完美信道狀態(tài)信息條件下系統(tǒng)的可達速率。4)研究了多用戶MIMO無線信息與能量同傳(SWIPT)理論與技術(shù)。針對MIMO BC網(wǎng)絡,提出了具有用戶均方誤差和能量收割雙重服務質(zhì)量要求的聯(lián)合收發(fā)機設計和功率分割優(yōu)化方案。針對MIMO IC網(wǎng)絡,提出了以均方誤差準則為優(yōu)化目標的SWIPT系統(tǒng)設計方案。在給定能量收割需求和發(fā)送功率約束的前提下,分別構(gòu)建了以所有用戶的“和MSE”和所有用戶中的“最大MSE”為優(yōu)化目標的聯(lián)合收發(fā)機設計和功率分割優(yōu)化問題。進而針對所提方案中的聯(lián)合收發(fā)機設計和功率分割問題,提出了基于半定規(guī)劃放松(SDR)技術(shù)的交替迭代優(yōu)化算法。仿真結(jié)果表明所提優(yōu)化算法可有效實現(xiàn)多用戶MIMO系統(tǒng)的無線信息和能量同傳。
[Abstract]:With the continuous and rapid development of social informationization, the demand for wireless communication is increasing day by day. On the one hand, the increasing demand for wireless communication puts forward higher requirements for wireless communication performance. On the other hand, the further improvement of wireless communication system performance is faced with limited spectrum resources, increasingly serious interference and limited energy. Multi-input multi-output (MIMO) technology has great potential in improving spectral efficiency, reducing interference and improving energy efficiency. It is recognized as one of the key technologies of future communication systems. Accordingly, multi-user MIMO communication network will become a typical communication scenario in the future. The performance improvement of household MIMO systems is limited by interference. Therefore, how to design transceivers to reduce or even eliminate interference has become a hot topic of current research. At the same time, new technologies such as wireless energy transmission will merge with wireless communication and bring about new changes in the system transmission structure. The design method can not effectively suppress the multi-user interference and adapt to the future changes in the transmission structure of new wireless communications. Therefore, how to design transceivers for multi-user MIMO systems to resist multi-user interference and adapt to the new application requirements of wireless energy transmission is the key issue of this paper. The core is to improve the spectral efficiency and energy efficiency, to align interference, interference suppression and interference utilization as the technical means, to mine the spatial transmission dimension and improve resource utilization as the way, focusing on the research of interference suppression and energy harvesting oriented multi-user MIMO transceiver design theory and method. The scenarios include typical MIMO networks such as interference channel (IC), broadcast channel (BC) and interference broadcast channel (IBC). Specific research contents and innovations are summarized as follows: 1) Linear interference alignment achievable rate of MIMO IC network is analyzed. The influence of channel errors on ergodic mutual information in uncorrelated Rayleigh fading channels is studied. The analytical expressions of the upper and lower bounds of the ergodic mutual information for interference alignment systems with imperfect channel state information are derived. The compactness of the upper and lower bounds is proved. Secondly, the influence of channel errors on the reachability rate of a given channel under correlated Rayleigh fading channel is studied, and the analytical expressions of the upper and lower bounds of the reachability rate for a given channel are derived. On the basis of innovation point 1, a robust transceiver design scheme based on stochastic statistics and probability constraints is proposed for MIMOIC networks with Gaussian channel errors, and corresponding transceiver optimization algorithm is designed. A robust transceiver design algorithm for maximizing signal-to-interference noise ratio (SINR) is proposed. The algorithm is a stochastic statistical robust transceiver design with low computational complexity, but there is still room for improvement. Computation method. The proposed probabilistic constrained robust design method optimizes the transceiver to maximize the average power of the desired signal on the premise of large probability of interference and noise power. Compared with the traditional transceiver design method, the proposed robust transceiver design method can significantly improve the achievable transmission speed of MIMO IC system. Rate. 3) The design theory and technology of MIMO IBC network interference alignment transceiver are studied. For the future typical multi-cell and multi-user MIMO transmission scenarios, the design method of IBC network interference alignment transceiver with user fairness is studied. The design scheme of large (Min-Max) mean square error transceiver is presented, and an alternating iterative optimization algorithm based on second-order cone programming (SOCP) is proposed. The convergence of the proposed algorithm is proved by theoretical analysis. Simulation results show that the proposed algorithm can obtain interference alignment solution under the condition of strong interference alignment. Compared with the existing algorithms, the proposed algorithm is more efficient. In addition, considering that it is difficult to obtain perfect channel state information in practical communication systems, a robust Min-Max mean square error transceiver design algorithm is proposed. Simulation results show that the proposed robust algorithm can effectively improve imperfect channel state information conditions. The reachability rate of the lower system is. 4) The theory and technology of multi-user MIMO wireless information and energy simultaneous transmission (SWIPT) are studied. For MIMO BC networks, a joint transceiver design and power partitioning optimization scheme with dual quality of service requirements of user mean square error and energy harvesting are proposed. Under the premise of given energy harvesting requirements and transmission power constraints, the joint transceiver design and power partitioning optimization problems with the objective of "MSE" for all users and "maximum MSE" for all users are constructed respectively. An alternating iterative optimization algorithm based on semi-definite programming relaxation (SDR) technique is proposed for power partitioning. Simulation results show that the proposed optimization algorithm can effectively realize wireless information and energy co-transmission in multi-user MIMO systems.
【學位授予單位】：山東大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TN92
，
本文編號：2218363
[Abstract]:With the continuous and rapid development of social informationization, the demand for wireless communication is increasing day by day. On the one hand, the increasing demand for wireless communication puts forward higher requirements for wireless communication performance. On the other hand, the further improvement of wireless communication system performance is faced with limited spectrum resources, increasingly serious interference and limited energy. Multi-input multi-output (MIMO) technology has great potential in improving spectral efficiency, reducing interference and improving energy efficiency. It is recognized as one of the key technologies of future communication systems. Accordingly, multi-user MIMO communication network will become a typical communication scenario in the future. The performance improvement of household MIMO systems is limited by interference. Therefore, how to design transceivers to reduce or even eliminate interference has become a hot topic of current research. At the same time, new technologies such as wireless energy transmission will merge with wireless communication and bring about new changes in the system transmission structure. The design method can not effectively suppress the multi-user interference and adapt to the future changes in the transmission structure of new wireless communications. Therefore, how to design transceivers for multi-user MIMO systems to resist multi-user interference and adapt to the new application requirements of wireless energy transmission is the key issue of this paper. The core is to improve the spectral efficiency and energy efficiency, to align interference, interference suppression and interference utilization as the technical means, to mine the spatial transmission dimension and improve resource utilization as the way, focusing on the research of interference suppression and energy harvesting oriented multi-user MIMO transceiver design theory and method. The scenarios include typical MIMO networks such as interference channel (IC), broadcast channel (BC) and interference broadcast channel (IBC). Specific research contents and innovations are summarized as follows: 1) Linear interference alignment achievable rate of MIMO IC network is analyzed. The influence of channel errors on ergodic mutual information in uncorrelated Rayleigh fading channels is studied. The analytical expressions of the upper and lower bounds of the ergodic mutual information for interference alignment systems with imperfect channel state information are derived. The compactness of the upper and lower bounds is proved. Secondly, the influence of channel errors on the reachability rate of a given channel under correlated Rayleigh fading channel is studied, and the analytical expressions of the upper and lower bounds of the reachability rate for a given channel are derived. On the basis of innovation point 1, a robust transceiver design scheme based on stochastic statistics and probability constraints is proposed for MIMOIC networks with Gaussian channel errors, and corresponding transceiver optimization algorithm is designed. A robust transceiver design algorithm for maximizing signal-to-interference noise ratio (SINR) is proposed. The algorithm is a stochastic statistical robust transceiver design with low computational complexity, but there is still room for improvement. Computation method. The proposed probabilistic constrained robust design method optimizes the transceiver to maximize the average power of the desired signal on the premise of large probability of interference and noise power. Compared with the traditional transceiver design method, the proposed robust transceiver design method can significantly improve the achievable transmission speed of MIMO IC system. Rate. 3) The design theory and technology of MIMO IBC network interference alignment transceiver are studied. For the future typical multi-cell and multi-user MIMO transmission scenarios, the design method of IBC network interference alignment transceiver with user fairness is studied. The design scheme of large (Min-Max) mean square error transceiver is presented, and an alternating iterative optimization algorithm based on second-order cone programming (SOCP) is proposed. The convergence of the proposed algorithm is proved by theoretical analysis. Simulation results show that the proposed algorithm can obtain interference alignment solution under the condition of strong interference alignment. Compared with the existing algorithms, the proposed algorithm is more efficient. In addition, considering that it is difficult to obtain perfect channel state information in practical communication systems, a robust Min-Max mean square error transceiver design algorithm is proposed. Simulation results show that the proposed robust algorithm can effectively improve imperfect channel state information conditions. The reachability rate of the lower system is. 4) The theory and technology of multi-user MIMO wireless information and energy simultaneous transmission (SWIPT) are studied. For MIMO BC networks, a joint transceiver design and power partitioning optimization scheme with dual quality of service requirements of user mean square error and energy harvesting are proposed. Under the premise of given energy harvesting requirements and transmission power constraints, the joint transceiver design and power partitioning optimization problems with the objective of "MSE" for all users and "maximum MSE" for all users are constructed respectively. An alternating iterative optimization algorithm based on semi-definite programming relaxation (SDR) technique is proposed for power partitioning. Simulation results show that the proposed optimization algorithm can effectively realize wireless information and energy co-transmission in multi-user MIMO systems.
【學位授予單位】：山東大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TN92
，
本文編號：2218363
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