Mitigating Intended Jamming in mmWave MIMO by Hybrid Beamforming

Jinle Zhu, Zhiqiang Wang, Qiang Li, Hongyang Chen, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Research on millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) has received much attention. However, due to the propagation characteristics of mmWave, signals will suffer from a significant loss over long range transmission. The mmWave MIMO system may face the challenge of the near-far problem where the user tries to retrieve the information signal (IS) from the base station under the strong intended jamming signal (JS). This letter proposes a novel hybrid beamforming design to cancel the JS that significantly reduces the computational complexity and incurs less feedback signaling overhead. Simulation results demonstrate that our proposed scheme can significantly suppress the interference from the JS and achieve the array gain in the system.

Original languageEnglish (US)
Article number8781945
Pages (from-to)1617-1620
Number of pages4
JournalIEEE Wireless Communications Letters
Issue number6
StatePublished - Dec 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


  • MIMO
  • anti-jamming
  • hybrid beamforming


Dive into the research topics of 'Mitigating Intended Jamming in mmWave MIMO by Hybrid Beamforming'. Together they form a unique fingerprint.

Cite this