kunwooch/Wall-Street: MobiCom '26 Wall-Street
MobiCom '26 Wall-Street
us (code pays fourni par la source)
0 citations
Zenodo (CERN European Organization for Nuclear Research)
Kun Woo Cho
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22Publications signalées
148Citations signalées
2Affiliations récentes
Les institutions déclarées
Les domaines associés
Antenna Design and AnalysisMillimeter-Wave Propagation and ModelingAdvanced MIMO Systems OptimizationEEG and Brain-Computer InterfacesIndoor and Outdoor Localization Technologies
Les publications récentes
kunwooch/Wall-Street: MobiCom '26 Wall-Street
MobiCom '26 Wall-Street
us (code pays fourni par la source)
0 citations
Zenodo (CERN European Organization for Nuclear Research)
EyeDAR: A Low-Power mmWave Tag that Senses and Communicates 3D Point Clouds to Enhance Radar Perception
Kun Woo Cho, Yaxiong Xie, Ashutosh Sabharwal
Autonomous vehicles rely heavily on vision-based sensors that struggle in poor visibility in harsh weather and beyond line-of-sight. While mmWave radars work reliably in these conditions, they suffer from extremely sparse point clouds due to mirror-like reflection where most signals bounce away …
us (code pays fourni par la source)
0 citations
Hardware-Software Co-Design for Programmable Smart Radio Environments
In this abstract, we introduce the concept of a programmable smart radio environment, which can be controlled and tuned by software to reconfigure itself in real time based on application needs. We design programmable smart surface systems and deploy them on buildings …
us (code pays fourni par la source)
0 citations
Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks
Kun Woo Cho, Marco Cominelli, Francesco Gringoli, Joerg Widmer et autres
Tomorrow’s massive-scale Internet-of-Things (IoT) sensor networks are poised to drive uplink traffic demand, especially in areas of dense deployment. To meet this demand, however, network designers leverage tools that often require accurate estimates of Channel State Information (CSI), which incurs a high …
us, it, es (code pays fourni par la source)
1 citation
IEEE Transactions on Networking
Demo: Metasurface-Enabled NextG mmWave for Roadside Networking
Kun Woo Cho, Prasanthi Maddala, Ivan Seskar, Kyle Jamieson
We present Wall-Street, a smart surface designed for vehicles to boost 5G mmWave connectivity for passengers. It improves mmWave connections in three ways: (1) it steers outdoor mmWave signals into the vehicle, ensuring all users have coverage; (2) it enables the vehicle …
us (code pays fourni par la source)
3 citations
WaveFlex: A Smart Surface for Private 5G CBRS Networks
Fan Yi, Kun Woo Cho, Yaxiong Xie, Kyle Jamieson
We present the design and implementation of WaveFlex, the first smart surface that enhances Private 5G networks operating under the shared-license framework in the Citizens Broadband Radio Service frequency band. WaveFlex works in the presence of frequency diversity: multiple nearby base stations …
us (code pays fourni par la source)
2 citations
Proceedings of the ACM on Networking
Wall-Street: An Intelligent Vehicular Surface for Reliable mmWave Handover
Kun Woo Cho, Prasanthi Maddala, Ivan Seskar, Kyle Jamieson
mmWave networks promise high bandwidth but face significant challenges in maintaining reliable connections for users moving at high speed. Frequent handovers, complex beam alignment, and signal blockage from car bodies lead to service interruptions and degraded performance. We present Wall-Street, a vehicle-mounted …
0 citations
arXiv (Cornell University)
A Low-Power OAM Metasurface for Rank-Deficient Wireless Environments
Kun Woo Cho, Srikar Kasi, Kyle Jamieson
This paper presents Monolith, a high bitrate, low-power, metamaterials surface-based Orbital Angular Momentum (OAM) MIMO multiplexing design for rank deficient, free space wireless environments. Leveraging ambient signals as the source of power, Monolith backscatters these ambient signals by modulating them into several …
us (code pays fourni par la source)
1 citation
WaveFlex: A Smart Surface for Private CBRS Wireless Cellular Networks
Fan Yi, Kun Woo Cho, Yaxiong Xie, Kyle Jamieson
We present the design and implementation of WaveFlex, the first smart surface that enhances Private LTE/5G networks operating under the shared-license framework in the Citizens Broadband Radio Service frequency band. WaveFlex works in the presence of frequency diversity: multiple nearby base stations …
1 citation
arXiv (Cornell University)
Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks
Kun Woo Cho, Marco Cominelli, Francesco Gringoli, Joerg Widmer et autres
Tomorrow's massive-scale IoT sensor networks are poised to drive uplink traffic demand, especially in areas of dense deployment. To meet this demand, however, network designers leverage tools that often require accurate estimates of Channel State Information (CSI), which incurs a high overhead …
us, it, es (code pays fourni par la source)
6 citations
Cross-Link Channel Prediction for Massive IoT Networks
Kun Woo Cho, Marco Cominelli, Francesco Gringoli, Joerg Widmer et autres
Tomorrow's massive-scale IoT sensor networks are poised to drive uplink traffic demand, especially in areas of dense deployment. To meet this demand, however, network designers leverage tools that often require accurate estimates of Channel State Information (CSI), which incurs a high overhead …
0 citations
arXiv (Cornell University)
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