PDMA图样分割多址技术在下一代移动通信中的应用研究

发布时间：2018-07-12 15:57

本文选题：PDMA + 5G　；参考：《西南交通大学》2017年硕士论文

【摘要】：作为5G移动通信系统的一个标志性的技术,非正交多址接入技术对5G系统的用户容量、频谱效率和数据速率都有重大影响。与功率域非正交多址接入技术 NOMA(Non-Orthogonal Multiple Access)、码域非正交多址技术 SCMA(Sparse Code Multiple Access)、MUSA(Multi User Shared Access)等众多的非正交多址接入技术相比.,PDMA(Pattern Division Multiple Access)尽管在理论上具有更好的系统性能,但对其研究相对较少。PDMA中多用户通过功率域、码域、空域单独或联合的进行资源复用。不同的功率因子、扩频码和空时编码对PDMA系统性能的影响非常大,因此本文主要研究了 PDMA的各个信号域与其误码性能的关系。论文首先仿真分析了 PDMA资源映射矩阵的行权重、维度和过载率对系统性能的影响。作为PDMA技术的资源复用的必要结构,PDMA资源映射矩阵对系统性能的影响对PDMA多址技术来说是非常关键的。通过仿真得到当过载率和维度相同时,矩阵行权重越大系统的误码率越小。相同的过载率和行权重,矩阵维度越高误码率越低。在相同行权重和维度情况下,较大的矩阵过载率在容纳更多用户的同时也带来了误码率的上升。进一步,论文在单天线情况下,仿真分析了 PDMA上行不同信号域的误码性能。其中,通过全搜索功率分配算法分析了不同功率因子对系统误码性能的影响,同时得到了使用不同扩频码的PDMA的误码性能,结果显示使用正交Gold序列的误码性能优于基于码本的稀疏码的性能。论文基于两种PDMA的MIMO下行系统模型,仿真分析了不同空时编码方式、天线数以及不同信号域联合使用的误码性能。从仿真结果得出,Q-OSTBC编码的BER性能优于Alamouti和V-BLAST。使用PDMA矩阵为4×6的稀疏码,分别仿真了使用两种系统模型的PDMA的误码性能。最后,对全文研究成果进行简要总结,分析了 PDMA图样分割多址接入技术中一些亟待解决问题,对未来的研究方向进行了展望。
[Abstract]:As an iconic technology of 5G mobile communication system, non-orthogonal multiple access (NOAA) technology has great influence on the user capacity, spectrum efficiency and data rate of 5G system. Compared with the non-orthogonal multiple access (Noma) (Non-orthogonal multiple Access),) code domain non-orthogonal multiple access (Noma) in power domain, such as parse Code multiple Access (Sparse Code multiple Access) MUSA (Multi user shared Access) and many other non-orthogonal multiple access technologies, the pattern Division multiple Access (Noma) has better system performance in theory than the non-orthogonal multiple access technology (Noma) in power domain, such as Sparse Code multiple Access (Sparse Code multiple Access) and Multi user shared Access (Multi user shared Access). However, there are relatively few researches on multiuser resource reuse in PDMA through power domain, code domain and spatial domain. Different power factors, spread spectrum code and space-time coding have great influence on the performance of PDMA system. Therefore, the relationship between the signal domain of PDMA and its error performance is studied in this paper. Firstly, the paper analyzes the influence of PDMA resource mapping matrix's weight, dimension and overload rate on the system performance. As a necessary structure for resource reuse in PDMA technology, the impact of PDMA resource mapping matrix on system performance is very critical for PDMA multiple access technology. The simulation results show that when the overload rate and dimension are the same, the bit error rate of the system with larger matrix row weight is smaller. With the same overload rate and row weight, the higher the matrix dimension is, the lower the bit error rate is. In the case of the same row weight and dimension, the larger matrix overload ratio not only accommodates more users, but also increases the bit error rate. Furthermore, in the case of single antenna, the error performance of PDMA uplink signal domain is simulated and analyzed. Among them, the influence of different power factors on the system error performance is analyzed by the full search power allocation algorithm, and the error performance of PDMA using different spread spectrum codes is obtained. The results show that the performance of using orthogonal Gold sequence is better than that of sparse code based on codebook. Based on two PDMA MIMO downlink system models, different space-time coding schemes, antenna numbers and error performance in different signal domains are simulated and analyzed. The simulation results show that the BER performance of Q-OSTBC code is better than that of Alamouti and V-BLAST. Using sparse code with PDMA matrix of 4 脳 6, the error performance of PDMA with two system models is simulated. Finally, the research results of this paper are summarized briefly, and some urgent problems in PDMA pattern segmentation multiple access technology are analyzed, and the future research direction is prospected.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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