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Decentralized widely linear precoding design for the MIMO interference channel

机译:mImO干扰信道的分散广泛线性预编码设计

摘要

his paper addresses the interference management in a MIMO interference channel (MIMO-IC) by proposing a decentralized transmit and receive beamformer optimization using improper (or circularly asymmetric complex) Gaussian signaling. For the ease of exposition, the downlink (DL) of a cellular network is considered. In order to generate improper Gaussian signals, widely linear precoding (WLP) is adopted at transmission, while at reception we consider that users might apply either widely linear estimation (WLE) or linear estimation. The coordination between transmitters for WLP design is attained by taking into account the received signal in the uplink (UL), provided that propagation channel reciprocity can be assumed and that transmit filters in the UL are appropriately designed. In this way the estimation of the interfering channels is avoided, while we can take advantage of both DL transmit coordination to adjust transmit power and beamformers and the use of improper Gaussian signaling to exploit the real and imaginary dimensions of the MIMO channel. Simulations show that the proposed decentralized technique allows reducing the mean square error (MSE) and increasing user throughput in highly interfered scenarios
机译:他的论文通过提出使用不正确的(或圆形非对称复数)高斯信号的分散式发射和接收波束成形器优化解决了MIMO干扰信道(MIMO-IC)中的干扰管理问题。为了便于说明,考虑了蜂窝网络的下行链路(DL)。为了生成不正确的高斯信号,在发送时采用了广泛的线性预编码(WLP),而在接收时,我们认为用户可能会应用广泛的线性估计(WLE)或线性估计。通过考虑上行链路(UL)中的接收信号,可以实现用于WLP设计的发射机之间的协调,前提是可以假定传播信道互易性,并且可以适当地设计UL中的发射滤波器。这样就避免了对干扰信道的估计,同时我们可以利用DL发射协调来调整发射功率和波束形成器,以及利用不合适的高斯信号来利用MIMO信道的实数和虚数维度。仿真表明,在高度干扰的情况下,所提出的分散技术可以降低均方误差(MSE)并提高用户吞吐量

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