Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems

Sungwoo Park, Ahmed Alkhateeb, Robert W. Heath

Research output: Contribution to journalArticlepeer-review

317 Scopus citations


Hybrid analog/digital precoding architectures can address the tradeoff between achievable spectral efficiency and power consumption in large-scale MIMO systems. This makes them a promising candidate for millimeter wave systems, which deploy large antenna arrays at both the transmitter and the receiver to guarantee sufficient received signal power. Most prior work on hybrid precoding focused on narrowband channels and assumed fully connected hybrid architectures. Millimeter wave (mmWave) systems, though, are expected to be wideband with frequency selectivity. In this paper, a closed-form solution for fully connected OFDM-based hybrid analog/digital precoding is developed for frequency selective mmWave systems. This solution is then extended to partially connected but fixed architectures in which each RF chain is connected to a specific subset of the antennas. The derived solutions give insights into how the hybrid subarray structures should be designed. Based on this, a novel technique that dynamically constructs the hybrid subarrays knowing the long-term channel characteristics is developed. Simulation results show that the proposed hybrid precoding solutions achieve spectral efficiencies close to that obtained with fully digital architectures in wideband mmWave channels. Furthermore, the results indicate that the developed dynamic subarray solution outperforms the fixed hybrid subarray structures in various system and channel conditions.

Original languageEnglish (US)
Article number7880698
Pages (from-to)2907-2920
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number5
StatePublished - May 2017
Externally publishedYes


  • Hybrid precoding
  • MIMO
  • millimeter wave systems
  • subarrays
  • wideband

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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