Research on Beam Selection of Millimeter-Wave System based on Lens Antenna Array

AI Zhi-jie; YUE Dian-wu; CAO Xue-min; GUAN Wei

doi:10.13756/j.gtxyj.2021.01.011

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Research on Beam Selection of Millimeter-Wave System based on Lens Antenna Array

- Research on Beam Selection of Millimeter-Wave System based on Lens Antenna Array
- Study on Optical Communications Issue 1, Pages: 52-57(2021)
- 作者机构：
  
  大连海事大学　信息科学技术学院，辽宁　大连　116026)
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2021.01.011
  CLC： TN911.7
- Published：10 February 2021，
  
  Received：08 July 2020，
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AI Zhi-jie, YUE Dian-wu, CAO Xue-min, et al. Research on Beam Selection of Millimeter-Wave System based on Lens Antenna Array. [J]. Study on Optical Communications (1):52-57(2021)
DOI：

AI Zhi-jie, YUE Dian-wu, CAO Xue-min, et al. Research on Beam Selection of Millimeter-Wave System based on Lens Antenna Array. [J]. Study on Optical Communications (1):52-57(2021) DOI： 10.13756/j.gtxyj.2021.01.011.

摘要

透镜天线阵列下毫米波大规模多输入多输出(MIMO)系统通过波束选择可以大大减少所需的射频链数目，解决系统硬件成本和能耗过高的问题，然而，波束选择需要基站端获取准确的信道状态信息。对此，文章首先利用波束空间的结构特性，采用基于支持检测(SD)的信道估计方案，以较低的导频开销和计算复杂度对大尺寸信道进行更加可靠的估计；其次受仿生学中蚁群优化(ACO)算法的启发，文章提出了一种基于SD估计信道的ACO波束选择方案，该方案既能有效地避免用户间波束的干扰，又能最大限度地提高系统和速率；最后，仿真结果表明，该方案能够得到计算复杂度显著降低的近优解，在提高系统和速率方面优于现有方案。

Abstract

To deal with issue of high hardware cost and energy consumption

beam selection is used in the lens antenna array based millimeter-Wave (mm Wave) massive Multiple-Input Multiple-Output (MIMO) system to reduce the required number of radio frequency chains. However

beam selection requires the base station to acquire the accurate channel state information. To solve this problem

we first use the structural characteristics of beamspace and adopt a Support Detection (SD) -based channel estimation scheme to estimate the large channel with lower pilot overhead and computational complexity. Then

inspired by Ant Colony Optimization (ACO) algorithm in bionics

an ACO beam selection scheme based on SD channel estimation is proposed. The scheme can not only avoid the interference of beams between users

but also maximize the system sum rate. Finally

the simulation results show that the proposed scheme can obtain a near-optimal solution with significantly lower computational complexity

and it is superior to the existing schemes in improving the system sum rate.

关键词

毫米波通信大规模多输入多输出透镜天线阵列信道估计波束选择

Keywords

mm Wave communicationmassive MIMOlens antenna arraychannel estimationbeam selection

references

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Brady J, Behdad N, Sayeed A M, et al. Beamspace MI-MO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements[J]. IEEE Transactionson Antennas and Propagation, 2013, 61(7): 3814-3827.

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Dorigo M, Birattari M, Stutzle T, et al. Ant Colony Optimization: Artificial Ants as a Computational Intelligence Technique[J]. IEEE Computational Intelligence Magazine, 2006, 1(4): 28-39.

Alkhateeb A, Ayach O E, Leus G, et al. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 831-846.

Parthiban I, Sudha V. Performance Analysis of Beamspace Domain Channel Estimation in mm Wave Massive MIMO Systems[C]//2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks(IMI-CPW). Tiruchirappalli, India: IEEE, 2019: 317-320.

Xie H, Gao F, Zhang S, et al. A Unified Transmission Strategy for TDD/FDD Massive MIMO Systems With Spatial Basis Expansion Model[J]. IEEE Transactions on Vehicular Technology, 2017, 66(4): 3170-3184.

Lee J, Gil G, Lee Y, et al. Exploiting Spatial Sparsity for Estimating Channels of Hybrid MIMO Systems in Millimeter Wave Communications[C]//Global Communications Conference. Austin, TX, USA: IEEE, 2014: 3326-3331.

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