PDMA圖樣分割多址技術在下一代移動通信中的應用研究
發(fā)布時間:2018-07-12 15:57
本文選題:PDMA + 5G ; 參考:《西南交通大學》2017年碩士論文
【摘要】:作為5G移動通信系統(tǒng)的一個標志性的技術,非正交多址接入技術對5G系統(tǒng)的用戶容量、頻譜效率和數(shù)據(jù)速率都有重大影響。與功率域非正交多址接入技術 NOMA(Non-Orthogonal Multiple Access)、碼域非正交多址技術 SCMA(Sparse Code Multiple Access)、MUSA(Multi User Shared Access)等眾多的非正交多址接入技術相比.,PDMA(Pattern Division Multiple Access)盡管在理論上具有更好的系統(tǒng)性能,但對其研究相對較少。PDMA中多用戶通過功率域、碼域、空域單獨或聯(lián)合的進行資源復用。不同的功率因子、擴頻碼和空時編碼對PDMA系統(tǒng)性能的影響非常大,因此本文主要研究了 PDMA的各個信號域與其誤碼性能的關系。論文首先仿真分析了 PDMA資源映射矩陣的行權重、維度和過載率對系統(tǒng)性能的影響。作為PDMA技術的資源復用的必要結構,PDMA資源映射矩陣對系統(tǒng)性能的影響對PDMA多址技術來說是非常關鍵的。通過仿真得到當過載率和維度相同時,矩陣行權重越大系統(tǒng)的誤碼率越小。相同的過載率和行權重,矩陣維度越高誤碼率越低。在相同行權重和維度情況下,較大的矩陣過載率在容納更多用戶的同時也帶來了誤碼率的上升。進一步,論文在單天線情況下,仿真分析了 PDMA上行不同信號域的誤碼性能。其中,通過全搜索功率分配算法分析了不同功率因子對系統(tǒng)誤碼性能的影響,同時得到了使用不同擴頻碼的PDMA的誤碼性能,結果顯示使用正交Gold序列的誤碼性能優(yōu)于基于碼本的稀疏碼的性能。論文基于兩種PDMA的MIMO下行系統(tǒng)模型,仿真分析了不同空時編碼方式、天線數(shù)以及不同信號域聯(lián)合使用的誤碼性能。從仿真結果得出,Q-OSTBC編碼的BER性能優(yōu)于Alamouti和V-BLAST。使用PDMA矩陣為4×6的稀疏碼,分別仿真了使用兩種系統(tǒng)模型的PDMA的誤碼性能。最后,對全文研究成果進行簡要總結,分析了 PDMA圖樣分割多址接入技術中一些亟待解決問題,對未來的研究方向進行了展望。
[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.
【學位授予單位】:西南交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TN929.5
【參考文獻】
相關期刊論文 前2條
1 Bin Ren;Yingmin Wang;Xiaoming Dai;Kai Niu;Wanwei Tang;;Pattern Matrix Design of PDMA for 5G UL Applications[J];中國通信;2016年S2期
2 武漢;邵凱;莊陵;王光宇;;MUSA系統(tǒng)中一種快速多用戶檢測算法[J];電子技術應用;2016年08期
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