4 papers
Computing frustration and near-monotonicity in deep neural networks
Joel Wendin, Erik G. Larsson, Claudio Altafini
For the signed graph associated to a deep neural network, one can compute the frustration level, i.e., test how close or distant the graph is to structural balance. For all the pre…
Radio over Fiber with Cascaded Structure: Algorithm for Uplink Positioning
Dexin Kong, Diana Pamela Moya Osorio, Erik G. Larsson
Recent advancements in polymer microwave fiber (PMF) technology have created significant opportunities for robust, low-cost, and high-speed sub-terahertz (THz) radio-over-fiber com…
Industrial Viewpoints on RAN Technologies for 6G
Mansoor Shafi, Erik G. Larsson, Xingqin Lin +4
6G standardization is to start imminently, with commercial deployments expected before 2030. Its technical components and performance requirements are the focus of this article. Ou…
Breaking the TDD Flow for Over-the-Air Phase Synchronization in Distributed Antenna Systems
Khac-Hoang Ngo, Erik G. Larsson
Phase synchronization between distributed antenna arrays requires measurements that break the standard time-division duplex (TDD) operation. We present a feasibility study on imple…