A Deep Learning‐Aided Detection Method for FTN‐Based NOMA
J Pan, N Ye, A Wang, X Li - Wireless Communications and …, 2020 - Wiley Online Library
The rapid booming of future smart city applications and Internet of things (IoT) has raised
higher demands on the next‐generation radio access technologies with respect to …
higher demands on the next‐generation radio access technologies with respect to …
[HTML][HTML] Deep Learning-Based Detection Algorithm for the Multi-User MIMO-NOMA System
Recently, non-orthogonal multiple access (NOMA) has become prevalent in 5G
communication. However, the traditional successive interference cancellation (SIC) …
communication. However, the traditional successive interference cancellation (SIC) …
A deep convolutional-LSTM neural network for signal detection of downlink NOMA system
B Panda, P Singh - AEU-International Journal of Electronics and …, 2023 - Elsevier
Non-orthogonal multiple access (NOMA) techniques have drawn much attention for massive
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …
Deep learning-based modulation detection for NOMA systems
W Xie, J Xiao, J Yang, X Peng, C Yu, P Zhu - arXiv preprint arXiv …, 2020 - arxiv.org
Since the signal with strong power should be demodulated first for successive interference
cancellation (SIC) demodulation in non-orthogonal multiple access (NOMA) systems, the …
cancellation (SIC) demodulation in non-orthogonal multiple access (NOMA) systems, the …
Deep learning-based joint detection for OFDM-NOMA scheme
Non-orthogonal multiple access (NOMA) technique has drawn much attention in recent
years. It has also been a promising technique for the fifth-generation (5G) wireless …
years. It has also been a promising technique for the fifth-generation (5G) wireless …
Deep learning-aided constellation design for downlink NOMA
L Jiang, X Li, N Ye, A Wang - 2019 15th International Wireless …, 2019 - ieeexplore.ieee.org
Massive connectivity is one of the most challenging issues for Internet of Things (IoT) to
achieve the quality of service provisions required by the numerous IoT devices. Non …
achieve the quality of service provisions required by the numerous IoT devices. Non …
Design of nonorthogonal multiple access systems: An information bottleneck perspective
Q Yuan, Q Guo, Z Wang, W Yang - IEEE Communications …, 2022 - ieeexplore.ieee.org
As a candidate technology of B5G cellular Internet of Things (IoT), grant-free non-orthogonal
multiple access (NOMA) has arisen worldwide concerns. However, the non orthogonality …
multiple access (NOMA) has arisen worldwide concerns. However, the non orthogonality …
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 …
DDI: A novel architecture for joint active user detection and IoT device identification in grant-free NOMA systems for 6G and beyond networks
Nonorthogonal multiple access (NOMA) with a grant-free access has received a lot of
attention due to its support to massive machine-type communication (mMTC) devices. The …
attention due to its support to massive machine-type communication (mMTC) devices. The …
Investigation of the fifth generation non-orthogonal multiple access technique for defense applications using deep learning
R Malladi, MK Beuria, R Shankar… - The Journal of …, 2022 - journals.sagepub.com
In modern wireless communication scenarios, non-orthogonal multiple access (NOMA)
provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G …
provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G …