Applied Sciences (Jun 2023)

Hybrid Precoding Design for Subarray-Structure-Enabled mmWave URLLC System

  • Zhiren Liu,
  • Yuan Shen,
  • Mengye Qiang,
  • Gang Wang,
  • Jun-Bo Wang

DOI
https://doi.org/10.3390/app13126883
Journal volume & issue
Vol. 13, no. 12
p. 6883

Abstract

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Ultra-reliable low-latency communication (URLLC) is an important application scenario in fifth generation (5G) communication. With the increasing deployment of 5G, spectrum resources are becoming increasingly scarce, and millimeter wave (mmWave) operating in a high frequency has garnered significant attention. However, the short wavelength of the mmWave makes the signals susceptible to fading. Precoding has emerged as a promising solution for mitigating the severe path loss in mmWave, which can enhance the system capacity and communication performance. In our system, an achievable rate maximization problem is established by jointly optimizing the analog and digital precoders at the base station, subject to the constraint of the total power and the constant modulus constraint of the subarrays. The simulation results demonstrate that the algorithm employed in our system can successfully solve the optimization problem in this new scenario. Furthermore, the subarray-structure hybrid precoder has a higher energy efficiency than that of a fully connected hybrid precoder or all-digital precoder. The proposed algorithm also outperforms the MM (Majorization–Minimization) algorithm.

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