Low-Complexity Multiuser Detection in Millimeter-Wave Systems Based on Opportunistic Hybrid Beamforming
暂无分享,去创建一个
[1] Risto Wichman,et al. Performance of Quantized Random Beamforming in Delay-Tolerant Machine-Type Communication , 2016, IEEE Transactions on Wireless Communications.
[2] Jung-Chieh Chen,et al. Hybrid Beamforming With Discrete Phase Shifters for Millimeter-Wave Massive MIMO Systems , 2017, IEEE Transactions on Vehicular Technology.
[3] S. Ghahramani,et al. Fundamentals of Probability , 1995 .
[4] Long Bao Le,et al. Beamforming for multiuser massive MIMO systems: Digital versus hybrid analog-digital , 2014, 2014 IEEE Global Communications Conference.
[5] Joseph Lipka,et al. A Table of Integrals , 2010 .
[6] Jinho Choi,et al. Low Complexity MIMO Detection , 2012 .
[7] Robert W. Heath,et al. Low complexity precoding for large millimeter wave MIMO systems , 2012, 2012 IEEE International Conference on Communications (ICC).
[8] Pengfei Xia,et al. Channel Estimation and Hybrid Precoding for Millimeter-Wave MIMO Systems: A Low-Complexity Overall Solution , 2017, IEEE Access.
[9] Jinho Choi,et al. Performance Analysis for SDMA mmWave Systems: Using an Approximate Closed-Form Solution of Downlink Sum-Rate , 2017, IEEE Access.
[10] Zhiqiang Wang,et al. Millimeter wave receive beamforming with one-bit quantization , 2016 .
[11] Limin Xiao,et al. Robust and Low Complexity Hybrid Beamforming for Uplink Multiuser MmWave MIMO Systems , 2016, IEEE Communications Letters.
[12] Junho Lee,et al. Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications , 2016, IEEE Transactions on Communications.
[13] Robert W. Heath,et al. Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.