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MIMO advanced transceivers and coded cooperative communications in OFDMA and SC-FDMA systems.

机译:OFDMA和SC-FDMA系统中的MIMO高级收发器和编码协作通信。

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摘要

To effectively improve the throughput of wireless systems, MIMO techniques have become attractive to many researchers. For MIMO point-to-point communications, sphere decoding provides optimal solution, however, it suffers from the variable high complexity incurred by the high dimensionality of transmit antennas and the difficulty to choose initial radius. This thesis develops an alternative approach, ordered tree traversal, to avoid the use of initial radius, and the ordered tree traversal algorithm damatically reduces the number of leaf nodes and the entire nodes explored during the candidate search process, since it only investigates the necessary leaf nodes. The possible drawback of the proposed method could be the memory cost. To further limit the computational efforts and storage space, the approximate methods, such as integer vector perturbation and differential SD/OTT are supplied as more options.;Still, in some scenarios, particularly where the ML solution becomes infeasible in practice due to the increase of the number of transmit antennas, then suboptimal methods based on an approximate solution to the lattice closest vector problem, called lattice-reduction-aided detection techniques, can be a good alternative. LLL lattice reduction algorithm is popular for its polynomial time solution. It alternately performs size-reduction and exchange steps until the algorithm converges. We introduce a new lattice reduction algorithm for MIMO systems. Basically, the Seysen's algorithm considers all the vectors simultaneously, instead of only the two adjacent ones in LLL. Seysen's algorithm can achieve BER performance improvement over LLL's with less computational complexity, which is measured by the average number of column operations required for lattice reduction before converge.;When perfect channel state information is available at transmitter, the so-called precoding methods were discussed. We unified three MIMO broadcast precoding techniques: Tomlinson-Harashima Precoding, Dirty Paper Coding and Vector Perturbation, by representing them in the same mathematical form. And the applications of sphere decoding and lattice reduction techniques are also illustrated at the transmitter side.;In the second part of this thesis, we studied the coded cooperative communications for downlink and uplink systems of 3GPP Long Term Evolution (LTE). The new cooperative strategies were proposed to exploit time diversity, space diversity (due to multiuser cooperation), frequency diversity and coding gain. Analysis on the pairwise error probability and the frame error probability shows that the new schemes have significant advantages over direct transmission, where both block fading channels with various block correlations, and the special case: quasi-static fading channel are under consideration. The numerical results are consistent with our theoretical analysis.
机译:为了有效地提高无线系统的吞吐量,MIMO技术已经吸引了许多研究人员。对于MIMO点对点通信,球面解码提供了最佳解决方案,但是,它受发射天线的高维数和选择初始半径的困难而导致的可变高复杂度的困扰。本文提出了另一种方法,即有序树遍历,以避免使用初始半径,并且有序树遍历算法以动态方式减少了叶子节点的数量,并减少了候选搜索过程中探索的整个节点的数量,因为它仅调查必要的叶子节点。所提出的方法的可能缺点可能是存储器成本。为了进一步限制计算工作量和存储空间,提供了诸如整数矢量摄动和差分SD / OTT之类的近似方法作为更多选项。但是,在某些情况下,尤其是由于增加而导致ML解决方案在实践中不可行的情况对于发射天线的数量,则基于晶格最接近矢量问题的近似解的次优方法(称为晶格缩减辅助检测技术)可能是一个很好的选择。 LLL网格约简算法因其多项式时间解而广受欢迎。它交替执行大小减小和交换步骤,直到算法收敛为止。我们介绍了一种用于MIMO系统的新格减少算法。基本上,塞森算法同时考虑所有向量,而不是LLL中仅考虑两个相邻向量。 Seysen算法可以通过降低收敛前的晶格缩减所需的平均列运算次数来计算,从而以较低的计算复杂度来实现比LLL更高的BER性能。当发射器上有理想的信道状态信息时,就讨论了所谓的预编码方法。 。通过以相同的数学形式表示它们,我们统一了三种MIMO广播预编码技术:Tomlinson-Harashima预编码,脏纸编码和矢量扰动。并且在发射机侧还说明了球面解码和格点缩减技术的应用。在本文的第二部分,我们研究了3GPP长期演进(LTE)的下行链路和上行链路系统的编码协作通信。提出了新的合作策略,以利用时间分集,空间分集(由于多用户合作),频率分集​​和编码增益。对成对错误概率和帧错误概率的分析表明,与直接传输相比,新方案具有显着的优势,在直接传输中,两个具有各种块相关性的块衰落信道都在考虑,并且特殊情况:准静态衰落信道正在考虑中。数值结果与我们的理论分析一致。

著录项

  • 作者

    Niu, Jun.;

  • 作者单位

    Polytechnic University.;

  • 授予单位 Polytechnic University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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