Channel and Rate Selection strategy in Cognitive Radio Network using Multi-arm bandits (MAB)

Hinal, R. Desai; Patel, Niteen B.; Suratwala, Chhaya

doi:10.1109/rteict42901.2018.9012496

Cited by 1 publication

(2 citation statements)

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“…Many researchers have investigated their coexistence and performance. To improve different frequency hopping algorithms, various theoretical approaches, algorithms and experiments are proposed in [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. For instance, in [ 11 ], the authors introduced a data channel selection scheme with proactive hand-off in a cognitive radio network.…”

Section: Related Workmentioning

confidence: 99%

“…Their results show the quality of service for the secondary user can be improved by their methodology. Moreover, in [ 14 ], it is mentioned that channel selection is one of the most important issues in cognitive radio networks. The authors discussed channel and corresponding rate selection techniques and gave the successful transmission probability for a selected channel.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Bluetooth Low Energy Interference Awareness Scheme and Improved Channel Selection Algorithm for Connection Robustness

Pang

T'Jonck

Claeys

et al. 2021

Sensors

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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 wireless communication. However, radio interference from various sources may affect the performance of BLE devices, leading to channel congestion. Therefore, there is a broadly recognized need of methodologies capable of sensing and avoiding interference. In this paper, two improvements at the data link layer for interference detection and channel selection are proposed to enhance the BLE connection robustness. This paper also presents a wide range of experimental evaluations aiming at validating the improvements and providing insights on both these improvements. Particularly, the communication performance of the BLE link layer is assessed in terms of channel usage distribution, supervision timeout ratio (STR) and packet loss rate (PLR) under different interference environments. Results from these experiments (reliability over 97% and 99% under two different harsh environments) highlight the effects of both improvements on the BLE robustness. Meanwhile, the authority of scheduling the whole mechanism is given to the link layer and even the higher application layer. This paper provides a set of solutions for BLE confronting interference in link layer.

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