大规模MIMO系统中多用户检测分布式处理技术
目录
目录
摘要 .......................................................................................................................... I ABSTRACT ............................................................................................................... I II 物理量名称及符号表 ............................................................................................... I X 第1章绪论 .. (1)
1.1课题背景及研究的目的和意义 (1)
1.2国内外研究现状及分析 (7)
1.3本文研究思路 (11)
1.4本文的主要研究内容 (12)
第2章大规模MIMO接收机 (14)
2.1引言 (14)
2.2异构网络 (14)
2.3大规模MIMO线性接收机 (16)
2.4非有利传播条件下多用户检测 (18)
2.5分布式迭代接收机 (26)
2.5.1 置信度传播算法 (27)
2.5.2 高斯置信度传播算法 (29)
2.6本章小结 (32)
第3章分布式多用户检测CGABP算法 (33)
3.1引言 (33)
3.2系统模型 (34)
3.3复高斯置信度传播算法 (36)
3.4分布式处理算法并行实现 (41)
3.5仿真结果 (44)
3.6本章小结 (49)
第4章分布式多用户检测动态性能分析方法 (50)
4.1引言 (50)
4.2算法复杂度与收敛性分析 (50)
4.3CG A BP动态性能分析方法 (53)
4.3.1 状态进化理论 (53)
4.3.2 大系统极限分析 (54)
哈尔滨工业大学工学博士学位论文
4.3.3 状态进化渐进分析 (58)
4.3.4 误比特率性能分析 (60)
4.3.5 仿真验证 (61)
4.4本章小结 (65)
第5章功率增益与信道估计的CGABP算法 (66)
5.1引言 (66)
5.2自适应-CG A BP算法 (66)
5.2.1 系统模型 (66)
5.2.2 最大似然参数学习 (67)
5.2.3 仿真结果 (69)
5.2.4 最大似然参数学习一致性 (72)
5.2.5 最大似然参数学习收敛性分析 (74)
5.3非理想信道状态信息下的CG A BP算法 (75)
5.3.1 信道估计 (77)
5.3.2 系统模型 (79)
5.3.3 非理想信道状态信息下的CGaBP算法 (80)
5.3.4 仿真结果 (84)
5.4本章小结 (88)
结论 (89)
参考文献 (91)
攻读博士学位期间发表的论文及其它成果 (99)
哈尔滨工业大学学位论文原创性声明和使用权限 (100)
致谢 (101)
个人简历 (102)
Contents
Contents
Abstract (In Chinese).............................................................................................?Abstract (In English)...........................................................................................???Notations...............................................................................................................?X Chapter 1 Introduction (1)
1.1 Background, objective and significance of the subject (1)
1.2 Current research status in China and abroad (7)
1.3 Motivation of this subject (11)
1.4 Main research contents of this subject (12)
Chapter 2 Massive MIMO receiver (14)
2.1 Introduction (14)
2.2 Heterogeneous networks (14)
2.3 Massive MIMO linear receiver (16)
2.4 Multiuser detection for unfavorable propogation (18)
2.5 Distributed iterative receiver (26)
2.5.1 Belief propagation (27)
2.5.2 Gaussian belief propagation (29)
2.6 Brief summary (32)
Chapter 3 Distributed multiuser detection with CGaBP algorithm (33)
3.1Introduction (33)
3.2System model (34)
3.3Complex Gaussian belief propagation algorithm (36)
3.4Parallel implementation for CGaBP algorithm (41)
3.5Numerical results (44)
3.6 Brief summary (49)
Chapter 4 Dynamical behavior analysis scheme of distributed multiuser detection (50)
4.1 Introduction (50)
4.2 Complexity, overhead and convergence analysis (50)
4.3 Iterative behavior analysis scheme of CGaBP algorithm (53)
4.3.1 State evolution theory (53)
4.3.2 Large system limit analysis (54)
4.3.3 State evolution asymptotic analysis (58)
4.3.4 Bit error rate (60)
4.3.5 Empirical Validation (61)
4.4 Brief summary (65)
哈尔滨工业大学工学博士学位论文
Chapter 5 CGaBP algorithm with power gain and channel estimation (66)
5.1 Introduction (66)
5.2 Adaptive-CGaBP algorithm (66)
5.2.1 System model (66)
5.2.2 Maximum Likelihood parameter learning (67)
5.2.3 Numerical results (69)
5.2.4 Asymptotic consistency of Maximum Likelihood parameter learning (72)
5.2.5 Convergence analysis of maximum Likelihood parameter learning (74)
5.3 CGaBP algorithm with imperfect channel state information (75)
5.3.1 Channel estimation (77)
5.3.2 System model (79)
5.3.3 CGaBP algorithm with imperfect channel state information (80)
5.3.4 Numerical results (84)
5.4 Brief summary (88)
Conclusions (89)
References (91)
Papers published in the period of Ph.D. education (99)
Statement of copyright and Letter of authorization (100)
Acknowledgements (101)
Resume (102)