2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Distilling On-Device Intelligence at the Network Edge
Jihong Park, Shiqiang Wang, Anis Elgabli +6
Devices at the edge of wireless networks are the last mile data sources for machine learning (ML). As opposed to traditional ready-made public datasets, these user-generated privat…
Sense-and-Predict: Harnessing Spatial Interference Correlation for Cognitive Radio Networks
Seunghwan Kim, Han Cha, Jeemin Kim +2
Cognitive radio (CR) is a key enabler realizing future networks to achieve higher spectral efficiency by allowing spectrum sharing between different wireless networks. It is import…
Opportunism in Dynamic Spectrum Access for 5G: A Concept and Its Application to Duplexing
Jeemin Kim, Soo-Min Kim, Han Cha +4
With the envisioned massive Internet-of-Things (IoT) era, one of the challenges for 5G wireless systems will be handling the unprecedented spectrum crunch. A potential solution has…
Sense-and-Predict: Opportunistic MAC Based on Spatial Interference Correlation for Cognitive Radio Networks
Jeemin Kim, Seung-Woo Ko, Han Cha +1
Opportunity detection at secondary transmitters (TXs) is a key technique enabling cognitive radio (CR) networks. Such detection however cannot guarantee reliable communication at s…