Ara
Toplam kayıt 5, listelenen: 1-5
Low-complexity deep learning-based beamforming in MISO systems
(Institute of Electrical and Electronics Engineers Inc., 2021)
This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ...
Identification of the number of wireless channel taps using deep neural networks
(Institute of Electrical and Electronics Engineers Inc., 2021)
In wireless communication systems, identifying the number of channel taps offers an enhanced estimation of the channel impulse response (CIR). In this work, efficient identification of the number of wireless channel taps ...
Detection, identification, and direction of arrival estimation of drone FHSS signals with uniform linear antenna array
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
Safety, security, and privacy are three critical concerns affiliated with the use of drones in everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone activities in the vicinity becomes ...
Partial-beam non-orthogonal multiple access (PB-NOMA) with fuzzy clustering
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2021)
This letter proposes a partial-beam non-orthogonal multiple access (PB-NOMA) system for millimeter wave (mmWave) channels. In the proposed system, the user terminals (UT)s partially belong to different user groups and ...
5G and beyond networks
(Elsevier, 2021)
This chapter investigates the Network Layer aspects that will characterize the merger of the cellular paradigm and the IoT architectures, in the context of the evolution towards 5G-and-beyond, including some promising ...