activity
20172022
most citedDeep Learning for Radio-based Human Sensing: Recent Advances and Future Directions

83 citations · 245 across the 20 of their papers we have counts for

collaborators

23 papers

cs.HC2022★ 1 cited

Spectral-Loc: Indoor Localization using Light Spectral Information

Yanxiang Wang, Jiawei Hu, Hong Jia +5

For indoor settings, we investigate the impact of location on the spectral distribution of the received light, i.e., the intensity of light for different wavelengths. Our investiga…

cs.NI2022

Path Planning for the Dynamic UAV-Aided Wireless Systems using Monte Carlo Tree Search

Yuwen Qian, Kexin Sheng, Chuan Ma +3

For UAV-aided wireless systems, online path planning attracts much attention recently. To better adapt to the real-time dynamic environment, we, for the first time, propose a Monte…

cs.NI2021★ 13 cited

Analyzing the Impact of Molecular Re-Radiation on the MIMO Capacity in High-Frequency Bands

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan +1

In this paper, we show how the absorption and re-radiation energy from molecules in the air can influence the Multiple Input Multiple Output (MIMO) performance in high-frequency ba…

eess.SP2020★ 83 cited

Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions

Isura Nirmal, Abdelwahed Khamis, Mahbub Hassan +2

While decade-long research has clearly demonstrated the vast potential of radio frequency (RF) for many human sensing tasks, scaling this technology to large scenarios remained pro…

eess.SP2020★ 6 cited

Simultaneous Energy Harvesting and Gait Recognition using Piezoelectric Energy Harvester

Dong Ma, Guohao Lan, Weitao Xu +2

Piezoelectric energy harvester, which generates electricity from stress or vibrations, is gaining increasing attention as a viable solution to extend battery life in wearables. Rec…

cs.NI2020★ 1 cited

Skin-MIMO: Vibration-based MIMO Communication over Human Skin

Dong Ma, Yuezhong Wu, Ming Ding +2

We explore the feasibility of Multiple-Input-Multiple-Output (MIMO) communication through vibrations over human skin. Using off-the-shelf motors and piezo transducers as vibration…

cs.NI2019★ 10 cited

Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface

Dong Ma, Ming Ding, Mahbub Hassan

Intelligent reflective surfaces (IRSs) capable of reconfiguring their electromagnetic absorption and reflection properties in real-time are offering unprecedented opportunities to…

cs.CR2019★ 66 cited

H2B: Heartbeat-based Secret Key Generation Using Piezo Vibration Sensors

Qi Lin, Weitao Xu, Jun Liu +4

We present Heartbeats-2-Bits (H2B), which is a system for securely pairing wearable devices by generating a shared secret key from the skin vibrations caused by heartbeat. This wor…

eess.SP2019

Sampling Free TDOA Localization in Millimeter Wave Networks

Shree Prasad M., Trilochan Panigrahi, Mahbub Hassan +1

Time difference of arrival (TDOA) is a widely used technique for localizing a radio transmitter from the difference in signal arrival times at multiple receivers. For TDOA to work,…

cs.HC2018★ 3 cited

SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells

Dong Ma, Guohao Lan, Mahbub Hassan +4

We design a system, SolarGest, which can recognize hand gestures near a solar-powered device by analyzing the patterns of the photocurrent. SolarGest is based on the observation th…

eess.SP2018

Classifying the Order of Higher Derivative Gaussian Pulses in Terahertz Wireless Communications

Shree Prasad M, Trilochan Panigrahi, Mahbub Hassan

The terahertz band is considered the last frontier for wireless communications and expected to play a significant role in beyond 5G networks. Besides supporting extremely high data…

cs.NI2018★ 5 cited

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

Azade Fotouhi, Haoran Qiang, Ming Ding +4

The rapid growth of consumer Unmanned Aerial Vehicles (UAVs) is creating promising new business opportunities for cellular operators. On the one hand, UAVs can be connected to cell…

eess.SP2018★ 7 cited

Direction of Arrival and Center Frequency Estimation for Impulse Radio Millimeter Wave Communications

Shree Prasad M., Trilochan Panigrahi, Mahbub Hassan

The 30-300GHz millimeter wave (mmWave) band is currently being pursued to combat the rising capacity demands in 5G, WiFi, and IoT networks. Due to the high frequency, impulse radio…

eess.SP2018

Energy Efficient Event Localization and Classification for Nano IoT

Shree Prasad M., Trilochan Panigrahi, Mahbub Hassan

Advancements in nanotechnology promises new capabilities for Internet of Things (IoT) to monitor extremely fine-grained events by deploying sensors as small as a few hundred nanome…

cs.ET2018★ 6 cited

Direction of Arrival Estimation for Nanoscale Sensor Networks

Shree M. Prasad, Trilochan Panigrahi, Mahbub Hassan

Nanoscale wireless sensor networks (NWSNs) could be within reach soon using graphene-based antennas, which resonate in 0.1-10 terahertz band. To conserve the limited energy availab…

cs.HC2018★ 2 cited

EnTrans:Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection

Guohao Lan, Weitao Xu, Dong Ma +3

Monitoring the daily transportation modes of an individual provides useful information in many application domains, such as urban design, real-time journey recommendation, as well…

cs.HC2018★ 3 cited

Capacitor Based Activity Sensing for Kinetic Powered Wearable IoTs

Guohao Lan, Dong Ma, Weitao Xu +2

We propose a novel use of the conventional energy storage component, i.e., capacitor, in kinetic-powered wearable IoTs as a sensor to detect human activities. Since different activ…

cs.NI2017

Service on Demand: Drone Base Stations Cruising in the Cellular Network

Azade Fotouhi, Ming Ding, Mahbub Hassan

In this paper, the deployment of drone base stations to provide higher performance in the cellular networks is analyzed. In particular, we investigate a new mobility model for dron…

cs.IT2017

Massive MIMO Performance Comparison of Beamforming and Multiplexing in the Terahertz Band

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan

In this paper, we compare the performance of two main MIMO techniques, beamforming and multiplexing, in the Terahertz (THz) band. The main problem with the THz band is its huge pro…

cs.NI2017

A New Look at MIMO Capacity in the Millimeter Wave

Sayed Amir Hoseini, Ming Ding, Mahbub Hassan

In this paper, we present a new theoretical discovery that the multiple-input and multiple-output (MIMO) capacity can be influenced by atmosphere molecules. In more detail, some co…

cs.NI2017★ 39 cited

DroneCells: Improving 5G Spectral Efficiency using Drone-mounted Flying Base Stations

Azade Fotouhi, Ming Ding, Mahbub Hassan

We study a cellular networking scenario, called DroneCells, where miniaturized base stations (BSs) are mounted on flying drones to serve mobile users. We propose that the drones ne…

cs.IT2017

Dynamic Base Station Repositioning to Improve Spectral Efficiency of Drone Small Cells

Azade Fotouhi, Ming Ding, Mahbub Hassan

With recent advancements in drone technology, researchers are now considering the possibility of deploying small cells served by base stations mounted on flying drones. A major adv…

cs.NI2017

Dynamic Base Station Repositioning to Improve Performance of Drone Small Cells

Azade Fotouhi, Ming Ding, Mahbub Hassan

Thanks to the recent advancements in drone technology, it has become viable and cost-effective to quickly deploy small cells in areas of urgent needs by using a drone as a cellular…