activity
20142024
most citedUnderstanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap

312 citations · 527 across the 37 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.IT2022★ 1 cited

Comparative Analysis of Terahertz Propagation Under Dust Storm Conditions on Mars and Earth

Lasantha Thakshila Wedage, Bernard Butler, Sasitharan Balasubramaniam +2

Reliable Terahertz (THz) links are necessary for outdoor point-to-point communication with the exponential growth of wireless data traffic. This study presents a modified Monte Car…

eess.SP2022★ 23 cited

SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2

Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference data can be extracted.…

cs.NI2022★ 3 cited

User Association and Multi-connectivity Strategies in Joint Terahertz and Millimeter Wave 6G Systems

Eduard Sopin, Dmitri Moltchanov, Anastasia Daraseliya +2

Terahertz (THz) wireless access is considered as a next step towards sixth generation (6G) cellular systems. By utilizing even higher frequency bands than 5G millimeter wave (mmWav…

cs.NI2022

Performance of Offloading Strategies in Collocated Deployments of Millimeter Wave NR-U Technology

Anastasia Daraseliya, Eduard Sopin, Dmitri Moltchanov +2

5G New Radio (NR) technology operating in millimeter wave (mmWave) band is expected to be utilized in areas with high and fluctuating traffic demands such as city squares, shopping…

eess.SP2022★ 8 cited

Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification

Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Jari Nurmi +2

Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment.…