A survey on spectrum management for unmanned aerial vehicles (UAVs)
The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …
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 …
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
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 …
radio spectrum has become a highly contended resource. The availability of low cost radio …
Scaling deep learning models for spectrum anomaly detection
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 …
difficulty as complexity grows in hardware, configurations, and new access technology (eg …
Simultaneous power-based localization of transmitters for crowdsourced spectrum monitoring
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 …
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 …
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
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 …
data and ultra-dense network deployments, it is crucial to use spectrum more flexibly in time …
Local and low-cost white space detection
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 …
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 …
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 …
cost spectrum sensors are deployed widely and are tasked with detecting unauthorized …