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Toplam kayıt 12, listelenen: 1-10
Waveform-domain NOMA: The future of multiple access
(Institute of Electrical and Electronics Engineers Inc., 2020)
This paper introduces a novel non-orthogonal multiple access (NOMA) concept named waveform-domain NOMA, which proposes the coexistence of different waveforms in the same resource element (RE). Regarding the demands of each ...
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 ...
Multi-functional coexistence of radar-sensing and communication waveforms
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2020)
In this study, a novel transmission scheme is proposed to serve radar-sensing and communication objectives at the same time and allocated bandwidth. The proposed transmitted frame non-orthogonally superimposes two different ...
Deep learning-based optimal ris interaction exploiting previously sampled channel correlations
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
The reconfigurable intelligent surface (RIS) technology has attracted interest due to its promising coverage and spectral efficiency features. However, some challenges need to be addressed to realize this technology in ...
Blind numerology identification for mixed numerologies
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
5G New Radio (NR) introduces new flexibility that different numerologies can be selected to meet the requirements of a wide variety of services. For this new structure, blind numerology identification can increase system ...
Energy-efficient resource allocation for 5G cognitive radio NOMA using game theory
(IEEE - Institute of Electrical and Electronics Engineers, Inc, 2021)
Cognitive radio non-orthogonal multiple access (CR-NOMA) networks promise improved spectrum utilization and capacity in 5G networks. In this work, we aim to investigate efficient power allocation for the secondary users ...
Joint estimation of multiple RF impairments using deep multi-task learning
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)
Radio-frequency (RF) front-end forms a critical part of any radio system, defining its cost as well as communication performance. However, these components frequently exhibit non-ideal behavior, referred to as impairments, ...
On the performance of handover mechanisms for non-terrestrial networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
Next-generation wireless networks require massive connectivity and ubiquitous coverage, for which non-terrestrial networks (NTNs) are a promising enabler. However, NTNs, especially non-geostationary satellites bring about ...
Inter-numerology interference pre-equalization for 5G mixed-numerology communications
(Institute of Electrical and Electronics Engineers Inc., 2022)
This article proposes a pre-equalization method to remove inter-numerology interference (INI) that occurs in multi-numerology OFDM frame structures of fifth-generation New Radio (5G-NR) and beyond, on the transmitter side. ...
Identification of distorted RF components via deep multi-task learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
High-quality radio frequency (RF) components are imperative for efficient wireless communication. However, these components can degrade over time and need to be identified so that either they can be replaced or their effects ...