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Adaptive MIMO-OFDM with Low Signalling Overhead for Unbalanced Antenna Systems

机译:不平衡天线系统的低信令自适应MIMO-OFDM

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The knowledge of channel state information (CSI) at the transmitter (TX), which in case of time division duplex (TDD) systems can be easily obtained due to radio channel reciprocity, can dramatically increase the spectral efficiency of a multiple-input multiple-output (MIMO) system. This paper presents a robust link adaptation method for TDD systems employing MIMO-OFDM channel eigenmode based signalling. We propose a rather simple logarithm-free, bit and power loading algorithm which requires low signalling overhead. Proposed method maintains constant frame error rate (PER) by controlling the instantaneous transmitted power in such a way that the average SNR at the equalizer output is kept constant. The scheme takes into account channel estimation errors at TX side by partial compensation of the SNR estimation errors. By using a simple scalar channel encoder, for an unbalanced MIMO system with larger number of transmit than receive antennas, the achieved spectral efficiency at low and medium SNR is significantly higher than the outage MIMO capacity with unknown CSI at the TX. The simulation results show that for a constant PER, the throughput degradation compared to the universally accepted Hughes-Hartogs algorithm is negligible.
机译:在发射机(TX)上的信道状态信息(CSI)的知识,在时分双工(TDD)系统的情况下,由于无线信道的互易性,可以很容易地获得,它可以大大提高多输入多信道的频谱效率。输出(MIMO)系统。本文提出了一种基于MIMO-OFDM信道本征模式的TDD系统鲁棒链路自适应方法。我们提出了一种相当简单的无对数,比特和功率加载算法,该算法需要较低的信令开销。所提出的方法通过以使得均衡器输出处的平均SNR保持恒定的方式来控制瞬时发射功率,来保持恒定的帧错误率(PER)。该方案通过部分补偿SNR估计误差来考虑TX侧的信道估计误差。通过使用简单的标量信道编码器,对于发射数量大于接收天线数量的不平衡MIMO系统,在中低SNR下获得的频谱效率明显高于TX处具有未知CSI的中断MIMO容量。仿真结果表明,对于恒定的PER,与普遍接受的Hughes-Hartogs算法相比,吞吐量的下降可以忽略不计。

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