Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks

KP Seng, LM Ang… - International Journal of …, 2022 - journals.sagepub.com
The advances and convergence in sensor, information processing, and communication
technologies have shaped the Internet of Things of today. The rapid increase of data and …

Deep learning-based NOMA system for enhancement of 5G networks: A review

RK Senapati, PJ Tanna - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
The fresh and rising demands for high-reliability and ultrahigh-capacity wireless
communication have led to extensive research into 5G communications. The wide progress …

Deep learning-based flexible joint channel estimation and signal detection of multi-user OFDM-NOMA

A Emir, F Kara, H Kaya, X Li - Physical Communication, 2021 - Elsevier
This paper proposes a deep learning (DL)-based joint channel estimation and signal
detection in multi-user orthogonal-frequency division multiplexing-non-orthogonal multiple …

An efficient NB-IoT compatible GF-NOMA PHY mechanism for mMTC

HG Srinath, S Jha… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The third-generation partnership project (3GPP) has proposed the narrowband Internet of
Things (NB-IoT) standard for serving Internet of Things (IoT) users. Improvements to the NB …

DDI: A novel architecture for joint active user detection and IoT device identification in grant-free NOMA systems for 6G and beyond networks

K Dev, SA Khowaja, PK Sharma… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
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 …

Development of hybrid optical sensor based on deep learning to detect and classify the micro-size defects in printed circuit board

GU Kaya - Measurement, 2023 - Elsevier
Testing with naked eye contact on large-sized printed circuit boards (PCBs) mass produced
is exhausting and time consuming. Since the eyes will get tired during the long-term test …

Multi-user joint maximum-likelihood detection in uplink NOMA-IoT networks: Removing the error floor

H Semira, F Kara, H Kaya… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) framework requires a massive number of connection thus
demanding spectral efficient solutions such as Non-Orthogonal Multiple Access (NOMA) …

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 …

Deep learning empowered semi-blind joint detection in cooperative NOMA

A Emir, F Kara, H Kaya, H Yanikomeroglu - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a multi-user symbol detection in cooperative-non-orthogonal
multiple access (C-NOMA) schemes via deep learning (DL). We use a DL-based detection …

Bit-Interleaved Multiple Access: Improved Fairness, Reliability, and Latency for Massive IoT Networks

F Kara, H Kaya, H Yanikomeroglu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) networks require massive connections in dense areas. Therefore, a
resource-efficient multiple access scheme seems inevitable to enable immense connectivity …