Spectrum access in cognitive radio using a two-stage reinforcement learning approach
With the advent of the fifth generation of wireless standards and an increasing demand for
higher throughput, methods to improve spectral efficiency of wireless systems have become …
higher throughput, methods to improve spectral efficiency of wireless systems have become …
Prototype of 5G integrated with TSN for edge-controlled mobile robotics
The digitization of industries enables a rapid transformation from mass production to
individualized manufacturing. Communication plays an essential role in this digital …
individualized manufacturing. Communication plays an essential role in this digital …
Estimation of primary channel activity statistics in cognitive radio based on imperfect spectrum sensing
Primary channel statistics have recently gained increasing attention due to its remarkable
role in the performance improvement of Dynamic Spectrum Access (DSA)/Cognitive Radio …
role in the performance improvement of Dynamic Spectrum Access (DSA)/Cognitive Radio …
Real-time interference identification via supervised learning: Embedding coexistence awareness in IoT devices
Energy sampling-based interference detection and identification (IDI) methods collide with
the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing …
the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing …
Channel selection algorithm optimized for improved performance in cognitive radio networks
J Tlouyamma, M Velempini - Wireless Personal Communications, 2021 - Springer
A major concern in the recent past was the traditional static spectrum allocation which gave
rise to spectrum underutilization and scarcity in wireless networks. In an attempt to solve this …
rise to spectrum underutilization and scarcity in wireless networks. In an attempt to solve this …
Bluetooth low energy interference awareness scheme and improved channel selection algorithm for connection robustness
Bluetooth Low Energy (BLE) is a popular wireless communication protocol heavily used in
Internet of Things applications. Nowadays, robustness is considered a key requirement in …
Internet of Things applications. Nowadays, robustness is considered a key requirement in …
Multi-armed-bandit based channel selection algorithm for massive heterogeneous internet of things networks
S Hasegawa, R Kitagawa, A Li, SJ Kim, Y Watanabe… - Applied Sciences, 2022 - mdpi.com
In recent times, the number of Internet of Things devices has increased considerably.
Numerous Internet of Things devices generate enormous traffic, thereby causing network …
Numerous Internet of Things devices generate enormous traffic, thereby causing network …
FMCPR: Flexible multiparameter-based channel prediction and ranking for CR-enabled massive IoT
The cognitive radio-enabled Internet of Things (CR-IoT) is envisioned to shape the future of
densely connected IoT devices in the sixth-generation networks to support the …
densely connected IoT devices in the sixth-generation networks to support the …
Energy efficient cognitive radio sensor networks with team-based hybrid sensing
J Bala Vishnu, MA Bhagyaveni - Wireless Personal Communications, 2020 - Springer
The massive growth in modern wireless technologies and devices has resulted in increase
in spectrum demands and energy consumption of wireless sensor network (WSN). To …
in spectrum demands and energy consumption of wireless sensor network (WSN). To …
A usage aware dynamic spectrum access scheme for interweave cognitive radio network by exploiting deep reinforcement learning
Future-generation wireless networks should accommodate surging growth in mobile data
traffic and support an increasingly high density of wireless devices. Consequently, as the …
traffic and support an increasingly high density of wireless devices. Consequently, as the …