一种新的迫零自适应混合预编码算法
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摘要
毫米波大规模多输入多输出系统由于混合预编码可以大大减少射频链路的使用,解决全数字预编码造成的硬件损耗,而且性能接近全数字预编码而成为目前研究的热点。文章提出利用自适应连接网络,在模拟域和数字域均采用迫零算法,从而进一步降低硬件成本。在瑞利衰落信道和稀疏散射毫米波信道分别对提出的算法进行了仿真,仿真结果表明,该算法能够在自适应连接网络结构中实现更好的性能,比同结构自适应算法具有更高的频谱效率,性能更加逼近全数字预编码。
In a millimeter wave massive Multiple-Input Multiple-Output(MIMO)system,hybrid precoding has become a hot research topic because it can greatly reduce the use of radio frequency links,and solve the hardware loss caused by full digital precoding.In addition,the performance is close to full digital precoding.This paper proposes to use an adaptive connection network,using Zero-Forcing(ZF)algorithm in both analog and digital domains,which can further reduce the hardware costs.The proposed algorithm is simulated on the Rayleigh fading channel and the sparsely scattered millimeter wave channel.The simulation results show that the proposed algorithm can achieve better performance in the adaptive connection network structure,and has higher spectral efficiency than the same structure adaptive algorithm.It also shows that the performance is closer to full digital precoding.
In a millimeter wave massive Multiple-Input Multiple-Output(MIMO)system,hybrid precoding has become a hot research topic because it can greatly reduce the use of radio frequency links,and solve the hardware loss caused by full digital precoding.In addition,the performance is close to full digital precoding.This paper proposes to use an adaptive connection network,using Zero-Forcing(ZF)algorithm in both analog and digital domains,which can further reduce the hardware costs.The proposed algorithm is simulated on the Rayleigh fading channel and the sparsely scattered millimeter wave channel.The simulation results show that the proposed algorithm can achieve better performance in the adaptive connection network structure,and has higher spectral efficiency than the same structure adaptive algorithm.It also shows that the performance is closer to full digital precoding.
引文
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[10]Liang L,Xu W,Dong X.Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems[J].IEEE Wireless Communications Letters,2014,3(6):653-656.
[11]Cai J,Rong B,Sun S.A Low Complexity Hybrid Precoding Scheme for Massive MIMO System[C]//201616th International Symposium on Communications and Information Technologies(ISCIT).Qingdao,China:IEEE,2016:638-641.
[12]Zhu X,Wang Z,Dai L,et al.Adaptive Hybrid Precoding for Multiuser Massive MIMO[J].IEEE Communications Letters,2016,20(4):776-779.
[2] Marzetta T L.Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas[J].IEEE Transactions on Wireless Communications,2010,9(11):3590-3600.
[3] Rusek F,Persson D,Lau B K,et al.Scaling Up MIMO:Opportunities and Challenges with Very Large Arrays[J].Signal Processing Magazine IEEE,2012,30(1):40-60.
[4] Ayach O E,Rajagopal S,Abu-Surra S,et al.Spatially Sparse Precoding in Millimeter Wave MIMO Systems[J].IEEE Transactions on Wireless Communications,2014,13(3):1499-1513.
[5] Rangan S,Rappaport T S,Erkip E.Millimeter-Wave Cellular Wireless Networks:Potentials and Challenges[J].Proceedings of the IEEE,2014,102(3):366-385.
[6] Khan F,Pi Z,Rajagopal S.Millimeter-Wave Mobile Broadband with Large Scale Spatial Processing for 5G Mobile Communication[C]//2012 50th Annual Allerton Conference on Communication,Control,and Computing(Allerton).Allerton,UK:IEEE,2013:1517-1523.
[7] Roh W,Seol J Y,Park J,et al.Millimeter-Wave Beamforming as an Enabling Technology for 5GCellular Communications:Theoretical Feasibility and Prototype Results[J].IEEE Communications Magazine,2014,52(2):106-113.
[8] Han S,Chih-Lin I,Xu Z,et al.Large-Scale Antenna Systems with Hybrid Analog and Digital Beamforming for Millimeter Wave 5G[J].IEEE Communications Magazine,2015,53(1):186-194.
[9] Rappaport T S,Sun S,Mayzus R,et al.Millimeter Wave Mobile Communications for 5GCellular:It Will Work![J].IEEE Access,2013,1(1):335-349.
[10]Liang L,Xu W,Dong X.Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems[J].IEEE Wireless Communications Letters,2014,3(6):653-656.
[11]Cai J,Rong B,Sun S.A Low Complexity Hybrid Precoding Scheme for Massive MIMO System[C]//201616th International Symposium on Communications and Information Technologies(ISCIT).Qingdao,China:IEEE,2016:638-641.
[12]Zhu X,Wang Z,Dai L,et al.Adaptive Hybrid Precoding for Multiuser Massive MIMO[J].IEEE Communications Letters,2016,20(4):776-779.