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Noncoherent trellis-coded quantization for massive MIMO limited feedback beamforming

机译:用于大规模MIMO有限反馈波束成形的非相干网格编码量化

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Massive multiple-input multiple-output (MIMO) techniques are regarded as a potential breakthrough in cellular network design, with transmit precoding to multiple downlink users playing a central role in the projected capacity gains. Most prior work assumes that the channel estimates required for precoder design are obtained by exploiting reciprocity in time division duplexed (TDD) systems. However, most cellular networks today are frequency division duplexed (FDD), for which reciprocity based channel side information (CSI) is not available, hence explicit channel feedback from mobiles to base station is required for downlink precoding. Conventional “limited feedback” approaches, based on quantizing the channel coefficients based on a predefined vector quantization codebook, do not scale to massive MIMO because of computational complexity and lack of flexibility. We propose a novel noncoherent trellis-coded quantization (NTCQ) which uses the duality between noncoherent sequence detection and vector quantization for maximizing beamforming gain. The advantages of NTCQ include linear complexity in the number of transmit antennas, with vector quantization accomplished using an off-the-shelf Viterbi algorithm, and flexibility in adjusting the feedback overhead to support a variable number of transmit antennas without changing the structure of the quantizer.
机译:大规模多输入多输出(MIMO)技术被视为蜂窝网络设计中的潜在突破,向多个下行链路用户的传输预编码在预计的容量增益中起着核心作用。大多数先前的工作假设预编码器设计所需的信道估计是通过利用时分双工(TDD)系统中的互易性获得的。但是,当今大多数蜂窝网络都是频分双工(FDD)的,基于互惠的信道边信息(CSI)不可使用,因此下行链路预编码需要从移动台到基站的明确信道反馈。基于基于预定义的矢量量化码本对信道系数进行量化的传统“有限反馈”方法由于计算复杂性和缺乏灵活性而无法扩展至大规模MIMO。我们提出了一种新颖的非相干网格编码量化(NTCQ),该方法使用非相干序列检测和矢量量化之间的对偶来最大化波束成形增益。 NTCQ的优势包括发射天线数量的线性复杂度,使用现成的维特比算法完成矢量量化,以及在不改变量化器结构的情况下灵活调整反馈开销以支持可变数量的发射天线的灵活性。

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