Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kathiravetpillai Sivanesan"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 4, Pp 118-133 (2023)
Enabling accurate and automated identification of wireless devices is critical for allowing network access monitoring and ensuring data authentication for large-scale IoT networks. RF fingerprinting has emerged as a solution for device identification
Externí odkaz:
https://doaj.org/article/eff9d0d023c048ab9bc9860fd5263b39
Publikováno v:
ICC 2022 - IEEE International Conference on Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3deec3bfd171a1f31c59e0340c7b40
https://doi.org/10.1109/icc45855.2022.9838976
https://doi.org/10.1109/icc45855.2022.9838976
Autor:
Arvind Merwaday, Satish C. Jha, Kathiravetpillai Sivanesan, Ignacio J. Alvarez, Leonardo Gomes Baltar, Vesh Raj Sharma Banjade, Suman A. Sehra
Publikováno v:
2021 IEEE Vehicular Networking Conference (VNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36dd3abead49954dd6e81f107b3c83fe
https://doi.org/10.1109/vnc52810.2021.9644671
https://doi.org/10.1109/vnc52810.2021.9644671
Autor:
Soo Jin Tan, Kathiravetpillai Sivanesan, Satish C. Jha, Sehra Suman A, Vesh Raj Sharma Banjade, Leonardo Gomes Baltar
Publikováno v:
ISC2
About 20–50 million people are involved in road accidents every year caused by human errors, with more than 500,000 of the victims being low-mobility, high-physical-impact-prone users of the road such as pedestrians, cyclists, motorbikes, scooter,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0f609e9f29607c26cea3e59bd3d0fb2
https://doi.org/10.1109/isc253183.2021.9562960
https://doi.org/10.1109/isc253183.2021.9562960
Autor:
Cornelius Buerkle, Manoj R. Sastry, Kathiravetpillai Sivanesan, Fabian Oboril, Ignacio Alvarez, Leonardo Gomes Baltar, Lily L. Yang, Arvind Merwaday, Liu Xiruo
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Recently, Collective Perception Messages (CPM) that carry additional information about the surrounding environment beyond Basic Safety Messages (BSM) or Cooperative Awareness Messages (CAM) have been proposed to increase the situational awareness for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bceb44101d098ee6f5774c5abdc1609
https://doi.org/10.1109/iv48863.2021.9575970
https://doi.org/10.1109/iv48863.2021.9575970
Publikováno v:
2021 IEEE MTT-S International Microwave Symposium (IMS).
In this work, using physical features extracted from RF nonidealities in communicated EM signals, we show that radio frequency physical unclonable function (RF-PUF) performs much better compared to a solely convolutional neural network (CNN) based se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4fc75bc49bd4ac717ddf24b458faea3
https://doi.org/10.1109/ims19712.2021.9574917
https://doi.org/10.1109/ims19712.2021.9574917
Publikováno v:
IEEE Wireless Communications Letters. 6:458-461
Channel state information (CSI) at the base station (BS) is critical to resource allocation design for wireless networks, but it is hard to obtain accurate CSI in a high mobility vehicular environment. In this letter, we study the spectrum and power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64e2eb10581106d246b85a1cf28b8240
https://doi.org/10.1109/lwc.2017.2702747
https://doi.org/10.1109/lwc.2017.2702747
Autor:
Kathiravetpillai Sivanesan, Cornelius Buerkle, Lily L. Yang, Manoj R. Sastry, Moreno Ambrosin, Fabian Oboril, Ignacio Alvarez
Publikováno v:
ITSC
Advances in vehicular communication technologies have made Connected Vehicles (CVs) a near-term reality. Compared to models where vehicles rely solely on their own perception to sense and make decision on the environment, CVs have the potential to al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d26c8afb2c4c53b55488e0ef8564ec11
https://doi.org/10.1109/itsc.2019.8916837
https://doi.org/10.1109/itsc.2019.8916837
Publikováno v:
GLOBECOM Workshops
In this article, we use deep neural networks (DNNs) to develop an end-to-end wireless communication system, in which DNNs are employed for all signal-related functionalities, including encoding, decoding, modulation, and equalization. However, accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfb75b02d00db1f0ce926c7bc49dbfd5
http://arxiv.org/abs/1807.00447
http://arxiv.org/abs/1807.00447
Publikováno v:
IEEE Transactions on Wireless Communications. 12:4956-4969
Enhanced Inter-cell Interference Co-ordination (eICIC) is a time-domain multiplexing technique for improving the performance of legacy co-channel Heterogeneous Networks (HetNets). eICIC offers several benefits, including a more equitable distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f577298d5d0115966675b6b7d6c40de
https://doi.org/10.1109/twc.2013.081413.121651
https://doi.org/10.1109/twc.2013.081413.121651