Sihyun's work has been accepted to IEEE WiOpt

Posted Date: Mar 20, 2026

Sihyun's work titled "Interference Prediction and Beam Alignment in 5G Indoor mmWave UDNs" to apper in IEEE WiOpt 2026.

Congratulations!

Interference Prediction and Beam Alignment in 5G Indoor mmWave UDNs

Sihyun Choi, Sungbo Eo, Changhee Joo, and Saewoong Bahk

Abstract

Abstract—Millimeter-wave (mmWave) communication using multiple-input multiple-output (MIMO) transmission is a key technology for increasing fifth-generation (5G) network capacity. This has the advantages of greater bandwidth and spatial diversity, but brings problems of line-of-sight blocking and high propagation loss. Dense deployment of base stations (BSs) has emerged as a promising architecture to address these challenges, but it often causes serious and complex interference problems due to the large number of mmWave beams. In this work, we develop low-complexity beam alignment schemes in 5G indoor mmWave ultra-dense networks (UDNs). Based on the centralized radio access network (C-RAN) architecture, we design practical non-iterative schemes using predefined analog beamforming training (ABT). In particular, we minimize performance degradation due to new connections by taking into account possible interference from future incoming connections. Through extensive experiments on a ray tracing simulator, we confirm that our proposed schemes achieve significant performance gains over existing schemes.