activity
20182026
most citedDeep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

29 citations · 32 across the 13 of their papers we have counts for

collaborators

14 papers

cs.NI2026

Waves on the Walls: Empirical Characterization of mmWave Lateral Waves for Enhanced Indoor Coverage

Apala Pramanik, Avhishek Biswas, Sasitharan Balasubramaniam +2

High-frequency millimeter-wave (mmWave) communication systems are constrained by the surrounding environment, where walls are traditionally treated as obstacles that block or refle…

cs.DC2026

Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference

Liubov Kurafeeva, Ryan Hartung, Benjamin Carter +9

Emerging cyber-physical systems increasingly require low-latency inference from streaming sensor data while maintaining models that reflect complex and evolving physical processes.…

cs.NI2026

Large Spectrum Models (LSMs): Decoder-Only Transformer-Powered Spectrum Activity Forecasting via Tokenized RF Data

Mohammad Mosiur Lunar, Mehmet C. Vuran

Dynamic spectrum access (DSA) has become a key pillar of next-generation wireless systems to address the spectrum scarcity due to the rapid growth of connected devices. Accurate sh…

cs.NI2026

Look Once, Beam Twice: Camera-Primed Real-Time Double-Directional mmWave Beam Management for Vehicular Connectivity

Avhishek Biswas, Apala Pramanik, Eylem Ekici +1

Millimeter-wave (mmWave) frequencies promise multi-gigabit connectivity for vehicle-to-everything (V2X) networks, but face challenges in terms of severe path loss and mobility-rela…

eess.SP2025

Cruising the Spectrum: Joint Spectrum Mobility and Antenna Array Management for Mobile (cm/mm)Wave Connectivity

Ece Bingöl, Eylem Ekici, Mehmet C. Vuran

The large bandwidths available at millimeter wave (mmWave) FR2 bands (24-71 GHz) and the emerging FR3 bands (7-24 GHz) are essential for supporting high data rates. Highly directio…

cs.DC2025★ 1 cited

xGFabric: Coupling Sensor Networks and HPC Facilities with Private 5G Wireless Networks for Real-Time Digital Agriculture

Liubov Kurafeeva, Alan Subedi, Ryan Hartung +9

Advanced scientific applications require coupling distributed sensor networks with centralized high-performance computing facilities. Citrus Under Protective Screening (CUPS) exemp…

cs.CE2025

Infrastructure-enabled risk assessment of hazardous road conditions on rural roads during inclement weather

Suhala Rabab Saba, Sagar Dasgupta, Mizanur Rahman +5

Rural roadways often expose Commercial Motor Vehicle (CMV) drivers to hazardous conditions, such as heavy fog, rain, snow, black ice, and flash floods, many of which remain unrepor…

cs.NI2025

Automatic Network Planning with Digital Radio Twin

Xiaomeng Li, Yuru Zhang, Qiang Liu +5

Network planning seeks to determine base station parameters that maximize coverage and capacity in cellular networks. However, achieving optimal planning remains challenging due to…

cs.LG2025★ 1 cited

I Can't Believe It's Not Real: CV-MuSeNet: Complex-Valued Multi-Signal Segmentation

Sangwon Shin, Mehmet C. Vuran

The increasing congestion of the radio frequency spectrum presents challenges for efficient spectrum utilization. Cognitive radio systems enable dynamic spectrum access with the ai…

cs.ET2024

Internet of Paint (IoP): Design, Challenges, Applications and Future Directions

Lasantha Thakshila Wedage, Mehmet C. Vuran, Bernard Butler +2

The proliferation of nano-technology has enabled novel applications in various fields, including the potential for miniaturized terahertz (THz)-enabled devices. The extra-large ban…

cs.ET2024

Antennas in Walls: Performance Analysis of Microstrip Patch Antennas Designed for Internet of Paint (IoP)

Lasantha Thakshila Wedage, Bernard Butler, Mehmet Can Vuran +2

This study presents a simulated transceiver with a microstrip patch antenna (MPA) designed to resonate at 150 GHz and embedded in paint. The in-paint MPA (IP-MPA) is designed for t…

cs.NE2024

Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity

Samitha Somathilaka, Adrian Ratwatte, Sasitharan Balasubramaniam +3

In our earlier work, we introduced the concept of Gene Regulatory Neural Network (GRNN), which utilizes natural neural network-like structures inherent in biological cells to perfo…

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.SP2018★ 29 cited

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

Zhongyuan Zhao, Mehmet C. Vuran, Fujuan Guo +1

The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex-valu…