Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Anjinappa, Chethan Kumar"'
Publikováno v:
IEEE Access, 2024
This paper investigates an indoor hybrid visible light communication (VLC) and radio frequency (RF) scenario with two-hop downlink transmission. A light emitting diode (LED) transmits both data and energy via VLC to an energy-harvesting relay node, w
Externí odkaz:
http://arxiv.org/abs/2302.02575
In this paper, we consider an indoor downlink dual-hop hybrid visible light communication (VLC)/radio frequency (RF) scenario. For each transmission block, we dynamically allocate a portion of time resources to VLC and the other portion to RF transmi
Externí odkaz:
http://arxiv.org/abs/2206.04635
This work investigates the problem of unmanned aerial vehicles (UAVs) identification using their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at 15 GHz and 25 GHz in an anechoic chamber, for both vertical-vertical a
Externí odkaz:
http://arxiv.org/abs/2112.09774
Autor:
Ozturk, Ender, Anjinappa, Chethan Kumar, Erden, Fatih, Guvenc, Ismail, Dai, Huaiyu, Bhuyan, Arupjyoti
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplexing with drones suffers from rank deficient channels due to the unobst
Externí odkaz:
http://arxiv.org/abs/2108.02179
This paper presents a radar cross-section (RCS)-based statistical recognition system for identifying/ classifying unmanned aerial vehicles (UAVs) at microwave frequencies. First, the paper presents the results of the vertical (VV) and horizontal (HH)
Externí odkaz:
http://arxiv.org/abs/2102.11954
The use of millimeter-wave (mmWave) bands in 5G networks introduce a new set of challenges to network planning. Vulnerability to blockages and high path loss at mmWave frequencies require careful planning of the network to achieve the desired service
Externí odkaz:
http://arxiv.org/abs/2011.01920
Autor:
Bhattacherjee, Udita, Anjinappa, Chethan Kumar, Smith, LoyCurtis, Ozturk, Ender, Guvenc, Ismail
The world is moving towards faster data transformation with more efficient localization of a user being the preliminary requirement. This work investigates the use of a deep learning technique for wireless localization, considering both millimeter-wa
Externí odkaz:
http://arxiv.org/abs/2002.12511
This work investigates the problem of spatial covariance matrix estimation in a millimeter-wave (mmWave) hybrid multiple-input multiple-output (MIMO) system with an emphasis on the basis-mismatch effect. The basis mismatch is prevalent in the compres
Externí odkaz:
http://arxiv.org/abs/1912.04733
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
This paper investigates the problem of detection and classification of unmanned aerial vehicles (UAVs) in the presence of wireless interference signals using a passive radio frequency (RF) surveillance system. The system uses a multistage detector to
Externí odkaz:
http://arxiv.org/abs/1909.05429