在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一...在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一种基于最大化信泄噪比的复杂度可调的分组子载波GS-Max-SLNR(Grouped-Subcarrier Maximum Signal-toLeakage-and-Noise Ratio)预编码方案。此外,我们推导了组间干扰公式,该公式在给定多普勒频移和信噪比的条件下,可以根据需要选取合适的分组数。理论建模和仿真表明,通过选取合适的分组数目,提出的GS-Max-SLNR能够实现复杂度和性能的良好折中。展开更多
In wideband multi-pair two-way relay networks, the performance of beamforming at a relay station(RS) is intimately related to the accuracy of the channel state information(CSI) available. The accuracy of CSI is determ...In wideband multi-pair two-way relay networks, the performance of beamforming at a relay station(RS) is intimately related to the accuracy of the channel state information(CSI) available. The accuracy of CSI is determined by Doppler spread, delay between beamforming and channel estimation, and density of pilot symbols,including transmit power of pilot symbols. The coefficient of the Gaussian-Markov CSI error model is modeled as a function of CSI delay, Doppler spread, and signal-to-noise ratio, and can be estimated in real time. In accordance with the real-time estimated coefficients of the error model, an adaptive robust maximum signal-to-interferenceand-noise ratio(Max-SINR) plus maximum signal-to-leakage-and-noise ratio(Max-SLNR) beamformer at an RS is proposed to track the variation of the CSI error. From simulation results and analysis, it is shown that: compared to existing non-adaptive beamformers, the proposed adaptive beamformer is more robust and performs much better in the sense of bit error rate(BER); with increase in the density of transmit pilot symbols, its BER and sum-rate performances tend to those of the beamformer of Max-SINR plus Max-SLNR with ideal CSI.展开更多
文摘在时变多用户MIMO-OFDM系统中,所有子载波整体预编码方案的性能优于单个子载波单独预编码方案。然而前者的复杂度是基站发射天线数J与子载波总数N乘积的函数,显著高于后者,特别NJ>1000时,复杂度极高。为了解决这个问题,我们提出了一种基于最大化信泄噪比的复杂度可调的分组子载波GS-Max-SLNR(Grouped-Subcarrier Maximum Signal-toLeakage-and-Noise Ratio)预编码方案。此外,我们推导了组间干扰公式,该公式在给定多普勒频移和信噪比的条件下,可以根据需要选取合适的分组数。理论建模和仿真表明,通过选取合适的分组数目,提出的GS-Max-SLNR能够实现复杂度和性能的良好折中。
基金Project supported by the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University,China(No.2013D02)the Open Research Fund of National Key Laboratory of Electromagnetic Environment,China Research Institute of Radiowave Propagation(No.201500013)+2 种基金the National Natural Science Foundation of China(Nos.61271230,61472190,and 61501238)the Research Fund for the Doctoral Program of Higher Education of China(No.20113219120019)the Jiangsu Provincial Science Foundation Project,China(No.BK20150786)
文摘In wideband multi-pair two-way relay networks, the performance of beamforming at a relay station(RS) is intimately related to the accuracy of the channel state information(CSI) available. The accuracy of CSI is determined by Doppler spread, delay between beamforming and channel estimation, and density of pilot symbols,including transmit power of pilot symbols. The coefficient of the Gaussian-Markov CSI error model is modeled as a function of CSI delay, Doppler spread, and signal-to-noise ratio, and can be estimated in real time. In accordance with the real-time estimated coefficients of the error model, an adaptive robust maximum signal-to-interferenceand-noise ratio(Max-SINR) plus maximum signal-to-leakage-and-noise ratio(Max-SLNR) beamformer at an RS is proposed to track the variation of the CSI error. From simulation results and analysis, it is shown that: compared to existing non-adaptive beamformers, the proposed adaptive beamformer is more robust and performs much better in the sense of bit error rate(BER); with increase in the density of transmit pilot symbols, its BER and sum-rate performances tend to those of the beamformer of Max-SINR plus Max-SLNR with ideal CSI.
