3 papers
eess.SP2026
Heterogeneity-agnostic AI/ML-assisted beam selection for multi-panel arrays
Ibrahim Kilinc, Robert W. Heath
AI/ML-based beam selection methods coupled with location information effectively reduce beam training overhead. Unfortunately, heterogeneous antenna hardware with varying dimension…
cs.NI2026
Rethinking Beam Management: Generalization Limits Under Hardware Heterogeneity
Nikita Zeulin, Olga Galinina, Ibrahim Kilinc +2
Hardware heterogeneity across diverse user devices poses new challenges for beam-based communication in 5G and beyond. This heterogeneity limits the applicability of machine learni…
eess.AS2025
Benchmarking Neural Speech Codec Intelligibility with SITool
Anna Leschanowsky, Kishor Kayyar Lakshminarayana, Anjana Rajasekhar +4
Speech intelligibility assessment is essential for evaluating neural speech codecs, yet most evaluation efforts focus on overall quality rather than intelligibility. Only a few pub…