Soo Young Shin

Kumoh National Institute of Technology · Department of IT Convergence Engineering

This paper proposes a strategy to efficiently utilize the spectrum of unpaired users in non-orthogonal multiple access (NOMA) systems. This is done by pairing multiple similar gain users to a single distant user in a non-overlapping frequency band pairing fashion. We consider a case where the number of far users in a cell is larger than the number...

Non-orthogonal multiple access (NOMA) has attracted significant attention in the research community as a potential radio access technology for future wireless networks. In this work, we propose a two-phase cooperative decode-and-forward (DF) relaying scheme based on Alamouti (2by�1 multiple-input single-output mode) space-time block coded non-ortho...

In non-orthogonal multiple access (NOMA), cell-edge users experience significantly low spectral density because only some part of the total transmit power is allocated. This leads to low spectral efficiency for the paired users in NOMA. To overcome this problem, we propose an integration of NOMA and generalized space shift keying (GSSK), called NOM...

This study exploits a quantum neural network (QNN) for resource allocation in wireless communications. A QNN is presented to reduce time complexity while still maintaining performance. Moreover, a reinforcement-learning-inspired QNN (RL-QNN) is presented to improve the performance. Quantum circuit design of the QNN is presented to ensure the practi...

In this study, non-orthogonal multiple access (NOMA) is integrated with orbital angular momentum (OAM)-based multiple-input multiple-output (MIMO), denoted as OAM-MIMO, and OAM with index modulation, denoted as OAM-IM, to improve its downlink channel capacities for multiple users. The user and sum channel capacities are evaluated and compared with...

Orthogonal time frequency space with index modulation (OTFS-IM) has been considered a promising technique for improving the bit error rate (BER) in high mobility environments. To further improve the BER and spectral efficiency here zero-padded tri mode index modulation is proposed with OTFS modulation (ZTM-OTFS-IM). Some information symbols on dela...

Irregular reconfigurable intelligent surface (RIS)-assisted transmission has emerged as a promising candidate for beyond 6G communication because of its superiority to enhance spectral efficiency (SE). However, a sufficiently large number of grid at irregular array of RIS leads to unused patterns combination. This study introduces a novel irregular...

This study proposes multiple reconfigurable intelligent surface (RIS)-based index modulation (IM), called MRB-IM, to improve channel capacity by activating one or more RISs within multiple RIS (MRIS). Generally, MRIS suffers from the secondary reflection that, in imperfect condition, can be considered as inter-RIS interference (IRI) within MRIS. On...

This study proposes an intelligent approach to identifying an injured soldier on blockchain-integrated internet-of-battlefield things (IoBT) employing unmanned aerial vehicles (UAVs). The intelligent approach combines a unique deep learning (DL) model with a smartwatch-based heart-rate (HR) data collection technique. Different activation functions...

Birdstrikes pose significant challenges to both airplane and passenger safety. This study introduces an innovative advanced avian wildlife management system (AAWM) utilizing UAV swarms and deep learning-based models for wildlife detection in airport's vicinity. UAV swarms detect birds through onboard depth cameras and deep-learning models. Faster R...

This paper proposes time-reversal based power division multiple access (TRPDMA) to enhance achievable sum rate (ASR) in dense multi-path environment. In TRPDMA, time-reversal (TR) introduces spatial focusing effect which provides a robustness of transmission using channel reciprocity. A mathematical approach is used to derive channel model of the p...

Human–robot interaction (HRI), which studies the interaction between robots and humans, appears as a promising research idea for the future of smart factories. In this study, HoloLens as ground control station (HoloGCS) is implemented, and its performance is discussed. HoloGCS is a mixed reality-based system for controlling and monitoring unmanned...

Multiuser communication in dynamic channel conditions and utilizing available bandwidth efficiently face various challenges. Facilitating multiple users with different requirements also increases the complexity. In response to the challenges mentioned, we introduced a new hybrid system comprising SEFDM-IM and NOMA. The proposed system increases the...

Base stations (BSs) and access points (APs) that have a large number of antennas, referred to as Massive MultipleInput Multiple-Output (mMIMO), play a crucial role in increasing the capacity of 5G, 6G and future network generations. Although it is developed enough for sub-6 GHz frequencies, mMIMO is also very effective for the millimetre wave (mmWa...

The concept of reconfigurable intelligent surface-assisted (RIS) for assisting non-orthogonal multiple access (NOMA) transmission, where the phases can be adjusted to decrease error rates and increase capacity, has been gaining popularity as a promising candidate for 6G communication and beyond. This paper considers RIS-NOMA downlink transmission u...

In this paper, a novel phase offset (PO)-aided index modulation (IM) for orbital angular momentum (OAM) communication is proposed to enhance capacity, called OAM-PO-IM. The proposed system conveys two types of index information including an active mode combination (AMC) and misalignment of the PO states. This method leverages the PO state induced b...

The following study introduces FT-QNN, a federated and quantum teleportation –based quantum neural network, utilized to optimize resource allocation for future wireless communications. The proposed FT-QNN consists of edge quantum neural networks (QNNs) and a cloud QNN, while quantum teleportation allows the cloud QNN to obtain the outputs of edge Q...

The Internet of Things (IoT) encompasses a wide range of applications; despite that, some challenges persist and require further research and development. One such challenge is encountered in sensing devices, particularly in Internet of Video Things (IoVT) applications that demand high-capacity wireless transmission. These applications face limitat...

This research work presents orthogonal chirp division multiplexing (OCDM) as a novel multi-carrier method based on the chirp spread spectrum (CSS) and demonstrated to be more resilient to interference produced by insufficient guard intervals. A comprehensive investigation of OCDM for wireless channels has not been performed extensively. Thus, the p...

Orthogonal Chirp Division Multiplexing (OCDM) and Orthogonal Time Frequency Space (OTFS) modulation are two promising techniques for addressing challenges in wireless communication networks. OCDM exploits chirp waveform orthogonality to overcome multipath fading and interference, while OTFS operates in the delay-Doppler domain, providing robustness...

The optimization of parcel delivery services to consumers has become a priority due to the rapid development of the logistics industry, particularly in relation to the primary application of Industry 4.0. It is difficult to maintain trust between a travel company and its consumers. Although many of the current solutions identified in the research a...

In this letter, a sub-connected hybrid precoding system was designed to realize energy-efficient millimeter-Wave (mmWave) unmanned aerial vehicle (UAV) communications. Considering the limited capacity of the UAV battery, the system was jointly optimized with a UAV trajectory to increase the energy efficiency of the UAV under quality-of-service (QoS...

p>This paper proposes a global positioning system (GPS)-aided visual simultaneous localization and mapping (SLAM) called GO-SLAM for adaptive UAV navigation. The proposed system offers a solution by the method to address the adaptive navigation challenge, wherein the navigation path needs to pass through an indoor area or outdoor area. GO-SLAM reli...

p>This paper proposes a global positioning system (GPS)-aided visual simultaneous localization and mapping (SLAM) called GO-SLAM for adaptive UAV navigation. The proposed system offers a solution by the method to address the adaptive navigation challenge, wherein the navigation path needs to pass through an indoor area or outdoor area. GO-SLAM reli...

This letter proposes spectrally efficient frequency division multiplexing (SEFDM) combined with orthogonal frequency division multiplexing (OFDM) with index modulation (IM). The conventional OFDM-IM provides energy efficiency but results in data rate (DR) loss because of inactive subcarriers. The coexistence of OFDM and SEFDM using IM (OFDM-SEM) im...

p>This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG based actor-critic reinforcement learning is utilized to optimize action selections in a large state and continuous action space. In this scheme, quantu...

p> In this paper, an unsupervised federated quantum generative adversarial network (UF-QGAN) is proposed to handle optimization issues in wireless communications. The proposed UF-QGAN considers unsupervised learning so that it could work without labeling for the training dataset. By adopting the federated framework, the computational load could be...

This paper proposes a blockchain-based firmware update method using unmanned aerial vehicles (UAVs) to solve one of the security issues arising in the Internet of Things (IoT) environment, which is the firmware security problem. It has high scalability and transaction speed using private blockchains and solves the limitations of internet connection...

p>In this paper, a novel index modulation (IM) for orbital angular momentum (OAM) communication is proposed by employing the phase offset (PO) state to enhance the capacity, called OAM-PO-IM. The uniform circular array (UCA) based OAM is exploited with PO. The UCA is divided into uniform circular sub-arrays (UCSAs) in the transmitter allocating add...

p>In this paper, a novel index modulation (IM) for orbital angular momentum (OAM) communication is proposed by employing the phase offset (PO) state to enhance the capacity, called OAM-PO-IM. The uniform circular array (UCA) based OAM is exploited with PO. The UCA is divided into uniform circular sub-arrays (UCSAs) in the transmitter allocating add...

p>In this paper, an unsupervised federated quantum generative adversarial network (UF-QGAN) is proposed to handle optimization issues in wireless communications. The proposed UF-QGAN considers unsupervised learning so that it could work without labelling for the training dataset. By adopting the federated framework, the computational load could be...

p>In this paper, an unsupervised federated quantum generative adversarial network (UF-QGAN) is proposed to handle optimization issues in wireless communications. The proposed UF-QGAN considers unsupervised learning so that it could work without labelling for the training dataset. By adopting the federated framework, the computational load could be...

p>This study proposes the multiple reconfigurable intelligent surface (RIS) based index modulation (IM) called as MRB-IM, in order to improve the channel capacity by activating one or more RISs among multiple RIS (MRIS) and utilizing its number of combinations. The ergodic capacity analysis is derived to prove the validity of the simulation for the...

p>This study proposes the multiple reconfigurable intelligent surface (RIS) based index modulation (IM) called as MRB-IM, in order to improve the channel capacity by activating one or more RISs among multiple RIS (MRIS) and utilizing its number of combinations. The ergodic capacity analysis is derived to prove the validity of the simulation for the...

This paper presents dual-mode index modulation for spectral efficient frequency division multiplexing (SEFDM-DM). SEFDM is a non-orthogonal multicarrier technique created by compressing the subcarrier spacing of classical orthogonal frequency-division multiplexing (OFDM). SEFDM provides high spectrum efficiency (SE) at the expense of increased inte...

Artificial intelligence of things (AIoT) has brought new promises of efficiency in our daily lives by integrating AI with the IoT. However, owing to limited resources (e.g., computational power), it is difficult to implement modern technology (e.g., AI) and improve its performance (i.e., the IoT). Moreover, cyberthreats and privacy challenges can h...

Recently, compressive sensing (CS) schemes have been studied as a new compression modality that exploits the sensing matrix in the measurement scheme and the reconstruction scheme to recover the compressed signal. In addition, CS is exploited in medical imaging (MI) to support efficient sampling, compression, transmission, and storage of a large am...

Beyond 6G services and application demand high and efficient processing capacity, due to the massive connectivity of users equipment (UEs). However, high computational capability and energy consumption of UEs are limited, then it becomes a main challenge to overcome. Recently, mobile edge computing (MEC) is studied widely, because of it potential t...

p>This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG based actor-critic reinforcement learning is utilized to optimize action selections in a large state and continuous action space. In this scheme, quantu...

p>This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG based actor-critic reinforcement learning is utilized to optimize action selections in a large state and continuous action space. In this scheme, quantu...

This study proposes a layerwise quantum-based deep reinforcement learning (LQ-DRL) method for optimizing continuous large space and time series problems using deep layer training. The actions in LQ-DRL are optimized using a layerwise quantum embedding that leverages the advantages of quantum computing to maximize reward and reduce training loss. Mo...

Quantum neural network with parallel training (called PS-QNN) is presented in this study to optimize wireless resource allocation. Instead of sending the whole dataset, each edge only requires to send the statistical parameters of the dataset; hence reducing the dimension of training data. As a particular case, the proposed PS-QNN is utilized to op...

This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG-based actor-critic reinforcement learning is utilized to optimize action selections in a large state and continuous action space. In this scheme, quantu...

This paper presents a massive multiple-input multiple-output (mMIMO) non-orthogonal multiple access (NOMA) system’s channel estimation and detection method which uses a deep learning algorithm to address the issue of erroneous signal detection caused by imperfect channel state information (CSI), user interference and channel noise. The proposed net...

p>In this study, a deep neural network (DNN) for a massive multiple-input-multiple-output (mMIMO) nonorthogonal multiple access (NOMA) system’s channel estimation and detection is presented. The proposed network applies deep learning (DL) to a discrete wavelet transform (DWT) based orthogonal frequency-division-multiplexing (OFDM) to reduce the noi...

This letter proposes a priority access (PA) in non-orthogonal multiple access (NOMA)-based slotted ALOHA (SA) (PA-NOMA-SA) for overload 6G massive Internet of Things (IoT). First, a NOMA-SA is considered, where devices in massive machine-type communication exploit uncoordinated uplink NOMA for packet transmissions in physical layer and SA protocol...

In this paper, we propose divergence intensity (DI) and mode combinations for multiple orbital angular momentum (OAM) users to enhance the sum capacity. Generally, OAM multiplexing has beam divergence (BD) limiting the achievable link distance and degrading performance. The effective OAM channel model implies DI which is considered as intensity of...

p>In this paper, a novel image-based deep learning (DL) approach for channel estimation for future wireless communications is proposed. The time-frequency response of fast fading wireless channel is represented as a 2D image to estimate the unknown values of the channel response using known values at the pilot locations. With given images, both ima...

p>In this paper, a novel image-based deep learning (DL) approach for channel estimation for future wireless communications is proposed. The time-frequency response of fast fading wireless channel is represented as a 2D image to estimate the unknown values of the channel response using known values at the pilot locations. With given images, both ima...

In this paper, a vehicular pairing scheme is proposed to balance the resource distribution in non-orthogonal multiple access (NOMA) based vehicular networks. The proposed BVP: balanced vehicular pairing scheme chooses pairs based on fair inter-vehicle distances through the base station (BS) for mobile NOMA users with high mobility. BVP reduces the...

In this study, a novel reconfigurable intelligent surface (RIS) grouping based index modulation (RGB-IM) is proposed to enhance spectral efficiency and improve bit error rate (BER). The idea is to divide an RIS into several number of group-surfaces (GR). Furthermore, the incoming data bits are modulated to spatial symbol, which represents the index...

New diseases (e.g., monkeypox) are showing up and taking the form of a pandemic within a short time. Early detection can assist in reducing the spread. However, because of privacy-sensitive data, users do not share it continually. Thus, it becomes challenging to employ modern technologies (e.g., deep learning). Moreover, cyber threats encircle both...

The Industrial Internet of Things (IIoT) focuses on connecting devices to gather real-time data and manually analyze it to make decisions. The IIoT devices could be equipped with some intelligence that empowers them to automatically create an informed choice and act with the ability for self-correction. This paper presents an innovative and secure...

Nowadays, drones have a wider variety of applications. The drones are now used for daily activities that the demand for drones is increase and the shift to a lower price. Then, drones manufactured with poor build quality. Consequently, the drone is now more vulnerable to crashes. The crash on landing is one of the most common errors made by novice...

This work presents spectral efficient frequency division multiplexing with subcarrier index modulation (SEFDM-SIM) for multi-input multi-output (MIMO) wireless networks. SEFDM employs non-orthogonal frequency division multiplexing to enhance the spectral efficiency (SE) at the expense of enhanced inter-carrier interference compared with traditional...

The integration of cooperative nonorthogonal multiple access (CNOMA) and the improved hybrid simultaneous wireless information and power transfer (SWIPT) (IHS) protocol (termed the CNOMA‐IHS scheme) is proposed in this article. The proposed CNOMA‐IHS scheme performs the energy harvesting to energize the cooperative relay operation from cell center...

This article proposes a multidimensional search space (or directional space) with more degrees-of-freedom (DOFs) to increase the energy efficiency of limited-battery-powered unmanned aerial vehicle (UAV) in the Internet of Things (IoT) data collection scenario. In this article, the UAV navigates from the initial to the goal point while collecting d...

In this paper, a novel sinusoidal current signal-based fire detection system is proposed with automatic address assignment. The system model employs a conventional power line to embed fire information, i.e., the address, rather than using an additional communication line. At the transmitter, different frequencies of the sinusoidal current signal ar...

p>Divergence intensity (DI) and mode combinations are proposed for multiple orbital angular momentum (OAM) users to enhance the sum capacity</p

p>Divergence intensity (DI) and mode combinations are proposed for multiple orbital angular momentum (OAM) users to enhance the sum capacity</p

p>Divergence intensity (DI) and mode combinations are proposed for multiple orbital angular momentum (OAM) users to enhance the sum capacity</p

Due to the increasing number of unmanned aerial vehicles (UAVs) with generally limited battery power, energy-efficient data transmission schemes with massive connectivity capabilities are required for future wireless networks. Non-orthogonal multiple access (NOMA) is a promising technique that provides such massive connectivity by allowing superpos...

This paper presents a joint power and number of intelligent reflecting surfaces (IRS) elements optimization in an IRS-assisted non-orthogonal multiple access (NOMA) network. The proposed optimized IRS NOMA (OIRS-NOMA) solution finds the optimal number of IRS elements and the power allocation factors with log-time complexity. Furthermore, the pair s...