Fingerprint-based millimeter-wave beam selection for interference mitigation in beamspace multi-user mimo communications

HIGHLIGHTS

• who: Intae Hwang from the Department of Electronic Engineering, Chonnam National University, Gwangju, Korea have published the Article: Fingerprint-Based Millimeter-Wave Beam Selection for Interference Mitigation in Beamspace Multi-User MIMO Communications, in the Journal: (JOURNAL)
• what: The authors propose a fingerprint-based mmWave beam selection technique, which requires less feedback and shuns the high computational complexity occasioned by an exhaustive search while suppressing multi-user interference in beamspace MIMO communications. The authors evaluate the performance of the proposed fingerprint-based mmWave beam selection technique using realistic 3D ray-tracing simulations.
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