Deep learning-based joint NOMA signal detection and power allocation in cognitive radio networks
A Kumar, K Kumar - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
Presently, Non-Orthogonal Multiple Access (NOMA) frequently uses Successive Interference
Cancellation (SIC) with channel estimation to detect the receivers' signal successfully …
Cancellation (SIC) with channel estimation to detect the receivers' signal successfully …
Uplink NOMA signal transmission with convolutional neural networks approach
LIN Chuan, C Qing, LI Xianxu - Journal of Systems Engineering …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA), featuring high spectrum efficiency, massive
connectivity and low latency, holds immense potential to be a novel multi-access technique …
connectivity and low latency, holds immense potential to be a novel multi-access technique …
Deep Learning and Power Allocation Analysis in NOMA System
M Gaballa, M Abbod, A Aldallal - 2022 Thirteenth International …, 2022 - ieeexplore.ieee.org
This study shows how the channel estimation based Deep Learning (DL) and a power
allocation method are together employed for multi-user detection in a Power domain Non …
allocation method are together employed for multi-user detection in a Power domain Non …
Performance analysis and deep learning design of underlay cognitive NOMA-based CDRT networks with imperfect SIC and co-channel interference
In this paper, we investigate an underlay cognitive non-orthogonal multiple access (NOMA)-
based coordinated direct and relay transmission network with imperfect successive …
based coordinated direct and relay transmission network with imperfect successive …
Investigating the combination of deep learning for channel estimation and power optimization in a non-orthogonal multiple access system
M Gaballa, M Abbod, A Aldallal - Sensors, 2022 - mdpi.com
In a non-orthogonal multiple access (NOMA) system, the successive interference
cancellation (SIC) procedure is typically employed at the receiver side, where several user's …
cancellation (SIC) procedure is typically employed at the receiver side, where several user's …
Spectrum resource optimization for NOMA-based cognitive radio in 5G communications
X Liu, Y Wang, S Liu, J Meng - IEEE Access, 2018 - ieeexplore.ieee.org
In traditional cognitive radio (CR), secondary user (SU) can only access the idle spectrum
when primary user (PU) is absent, which has to vacate the spectrum when detecting the …
when primary user (PU) is absent, which has to vacate the spectrum when detecting the …
Deep learning-based joint symbol detection for NOMA
Non-orthogonal multiple access is one of the most important candidates for next-generation
communication systems called 5G and beyond. NOMA provides superiority to multiple …
communication systems called 5G and beyond. NOMA provides superiority to multiple …
A deep learning approach for MIMO-NOMA downlink signal detection
C Lin, Q Chang, X Li - Sensors, 2019 - mdpi.com
As a key candidate technique for fifth-generation (5G) mobile communication systems, non-
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …
Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints
Recently, the combination of cognitive radio networks with the nonorthogonal multiple
access (NOMA) approach has emerged as a viable option for not only improving spectrum …
access (NOMA) approach has emerged as a viable option for not only improving spectrum …
Error performance of NOMA-based cognitive radio networks with partial relay selection and interference power constraints
Non-orthogonal multiple access (NOMA)-based cognitive radio (CR) networks have recently
emerged as a promising solution to enhance the spectral efficiency and massive …
emerged as a promising solution to enhance the spectral efficiency and massive …