A survey on spectrum management for unmanned aerial vehicles (UAVs)

MA Jasim, H Shakhatreh, N Siasi, AH Sawalmeh… - IEEE …, 2021 - ieeexplore.ieee.org
The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …

Electrosense: Open and big spectrum data

S Rajendran, R Calvo-Palomino… - IEEE …, 2017 - ieeexplore.ieee.org
While radio spectrum allocation is well regulated, there is little knowledge about its actual
utilization over time and space. This limitation hinders taking effective actions in various …

Comparison of MongoDB and Cassandra databases for spectrum monitoring as-a-service

G Baruffa, M Femminella, M Pergolesi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Due to the growing number of devices accessing the Internet through wireless networks, the
radio spectrum has become a highly contended resource. The availability of low cost radio …

Scaling deep learning models for spectrum anomaly detection

Z Li, Z Xiao, B Wang, BY Zhao, H Zheng - Proceedings of the Twentieth …, 2019 - dl.acm.org
Spectrum management in cellular networks is a challenging task that will only increase in
difficulty as complexity grows in hardware, configurations, and new access technology (eg …

Simultaneous power-based localization of transmitters for crowdsourced spectrum monitoring

M Khaledi, M Khaledi, S Sarkar, S Kasera… - Proceedings of the 23rd …, 2017 - dl.acm.org
The current mechanisms for locating spectrum offenders are time consuming, human-
intensive, and expensive. In this paper, we propose a novel approach to locate spectrum …

VIA: Establishing the link between spectrum sensor capabilities and data analytics performance

K Doke, B Okoro, A Zare… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
Automated spectrum analytics inform critical decisions in dynamic spectrum access
networks such as (i) how to allocate network resources to clients,(ii) when to enforce …

Deeptxfinder: Multiple transmitter localization by deep learning in crowdsourced spectrum sensing

A Zubow, S Bayhan, P Gawłowicz… - 2020 29th International …, 2020 - ieeexplore.ieee.org
As the radio spectrum has become the bottleneck resource with increasing volume of mobile
data and ultra-dense network deployments, it is crucial to use spectrum more flexibly in time …

Local and low-cost white space detection

A Saeed, KA Harras, E Zegura… - 2017 IEEE 37th …, 2017 - ieeexplore.ieee.org
White spaces are portions of the TV spectrum that are allocated but not used locally.
Ifaccurately detected, white spaces offer a valuable new opportunity for highspeed wireless …

Adaptive uplink data compression in spectrum crowdsensing systems

Y Zeng, R Calvo-Palomino… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Understanding spectrum activity is challenging when attempted at scale. The wireless
community has recently risen to this challenge in designing spectrum monitoring systems …

Spectrum patrolling with crowdsourced spectrum sensors

A Chakraborty, A Bhattacharya, S Kamal… - … -IEEE Conference on …, 2018 - ieeexplore.ieee.org
We use a crowdsourcing approach for RF spectrum patrolling, where heterogeneous, low-
cost spectrum sensors are deployed widely and are tasked with detecting unauthorized …