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...

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...

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...

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...

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...

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...

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...

This paper presents an augmented reality (AR)-based game for childhood education. The developed AR game teaches children by giving them tasks and providing guidance to complete them on time. The developed model discussed in the paper is focusing on the kids for their learning and memorizing tasks easier and timely. The game allows children to inter...

In this article, wavelet Orthogonal Frequency Division Multiplexing (OFDM) based non-orthogonal-multiple-access (NOMA) combined with massive MIMO system for 6G network is proposed. For mMIMO transmissions, the suggested system could enhance the performance by utilizing wavelets and is able to compensate channel impairments for the transmitted signa...

In this paper, an automated real-time traffic management scheme is proposed by using unmanned aerial vehicles (UAV) in an effective and secured way. However, owing to the low computational capability and limited battery capacity of a UAV, multi-access edge computing (MEC) is applied to enhance the performance of an automated UAV-based traffic manag...

In medical imaging, the application of retinal images demands a lot of retinal photos to analyze and requires efficient compression techniques for retinal image storage. Retinal images must meet stringent quality requirements for clinical data to be accurate and dependable. This paper proposes a compressive sampling (CS) framework for color retinal...

In the modern era, the internet of vehicles (IoV) is being utilized in commercial applications and extensively explored in research. However, internal fault in IoV can cause accidents on the road. Moreover, privacy concerns can hamper the internal data sharing to build a model to detect the anomaly. Federated learning (FL) and blockchain are emergi...

This paper proposes the novel enhanced generalized space shift keying (EGSSK) to improve the spectral efficiency (SE) and energy efficiency (EE). In conventional GSSK, all of antenna combinations are not used because of power-of-two form. To overcome this problem, we suggest to exploit spare antenna combination for cell-edge users (CEUs). Concurren...

This paper presents a deep learning (DL) model integrated automated and secure garbage management scheme using unmanned any vehicle (UxV) to minimize the human effort in terms of the traditional garbage management system. Different kinds of UxV (unmanned aerial vehicles, automated guided vehicles, unmanned surface vehicles, unmanned underwater vehi...

Monitoring the CO2 gas level in a smart factory is essential as the high levels of CO2 gas negatively affect the human body, causing various physical problems. This paper presents an Internet of Things (IoT) based CO2 gas level monitoring and automated decision-making system inside a smart factory using the unmanned aerial vehicle (UAV) and multi-a...

This letter presents a federated learning-based data-accumulation scheme that combines drones and blockchain for remote regions where Internet of Things devices face network scarcity and potential cyber threats. The scheme contains a two-phase authentication mechanism in which requests are first validated using a cuckoo filter, followed by a timest...

This work proposes the utilization of the quantum-inspired evolutionary algorithm (QEA) for user pairing in non-orthogonal multiple access (NOMA). By exploiting quantum concepts such as superposition, it obtained a user pairing solution that approximates the highest achievable sum rate. Moreover, elitist QEA (E-QEA) is proposed to further enhance t...

This study employs quantum deep unfolding (QDU) to optimize power allocation and precoding in non-orthogonal multiple access with multiple-input and multiple-output (NOMA MIMO). As the basis, this study considers analytical-based power allocation and precoding. Further, quantum neural network (QNN) Keywords: Quantum neural networks, deep unfoldin...

This paper proposed a multi-dimensional search space (or directional space) which has larger degree-of-freedom (DOF) to improve energy efficiency of limited-battery-powered UAV in Internet of Things (IoT) data collection scenario. In this paper, the UAV navigates from initial to goal point while collecting data from IoT sensors on the ground. Due t...

This paper proposed a multi-dimensional search space (or directional space) which has larger degree-of-freedom (DOF) to improve energy efficiency of limited-battery-powered UAV in Internet of Things (IoT) data collection scenario. In this paper, the UAV navigates from initial to goal point while collecting data from IoT sensors on the ground. Due t...

The conventional method of estimating the size of any property is dependent on human inspection and calculations, which is susceptible to human errors or manipulated data. This paper presents a unique system of estimating the original size of any property using an unmanned aerial vehicle (UAV) and storing the data securely in a private blockchain t...

Ground control station (GCS) is a system for controlling and monitoring unmanned aerial vehicle (UAV). In current GCS, the device used are considered as complex environment. This paper proposes a video streaming and speech command control for supporting mixed reality based UAV GCS using Microsoft HoloLens. Video streaming will inform the UAV view a...

Reconfigurable intelligent surface (RIS) as a supportive technology for aiding downlink non-orthogonal multiple access (NOMA) can enhance the bit error rate (BER) performance. In this paper, a novel BER-aware reflecting elements allocation (REA) on an RIS is proposed to maintain the BER order among paired RIS-NOMA users. The RIS REA is useful for m...

Reconfigurable intelligent surface (RIS) as a supportive technology for aiding downlink non-orthogonal multiple access (NOMA) can enhance the bit error rate (BER) performance. In this paper, a novel BER-aware reflecting elements allocation (REA) on an RIS is proposed to maintain the BER order among paired RIS-NOMA users. The RIS REA is useful for m...

Ground control station (GCS) is a system for controlling and monitoring unmanned aerial vehicle (UAV). In current GCS, the device used are considered as complex environment. This paper proposes a video streaming and speech command control for supporting mixed reality based UAV GCS using Microsoft HoloLens. Video streaming will inform the UAV view a...

This paper proposes novel compressed sensing (CS) of colored iris images using three RGB iterations of basis pursuit (BP) with sparsity averaging (SA), called RGB-BPSA. In RGB-BPSA, a sparsity basis is performed using the average of multiple coherent dictionaries to improve the BP reconstruction. In the experiment, first, the decomposition level of...

Non-orthogonal multiple access (NOMA) is a promising candidate beyond 5G and 6G to improve spectral efficiency by sharing the same resource block with other users. However, as the number of users increases in a single NOMA cluster, not only the spectral efficiency but also the interference increases. Therefore, to ensure a trade-off between capacit...

In this article, a spatial media-based modulation-aided uplink multiple-input–multiple-output (MIMO) nonorthogonal multiple access (SMBM-NOMA) system operating under imperfect channel state information (CSI) is proposed. In addition, two different detection techniques, with successive interference cancellation (SIC) and without SIC are used to dete...

Compressive sensing (CS) plays a critical role in sampling, transmitting, and storing the color medical image, i.e., magnetic resonance imaging, colonoscopy, wireless capsule endoscopy, and eye images. Although CS for medical images has been extensively investigated, a challenge remains in the reconstruction time of the CS. This paper considers a r...

Futuristic applications of intelligent transportation systems (ITS) highly rely on ad-hoc connectivity between the stochastic vehicular networks (ground and airborne). Message routing in ITS faces several challenges in the dynamic environment of highly mobile networks in the form of obstacles, propagation, and stability of the connection. Unlike ve...

In this paper, a spatial modulation aided uplink non-orthogonal multiple access (SM-NOMA) without successive interference cancellation (SIC) is proposed. The SIC-free SM-NOMA system is investigated under both perfect and imperfect channel state information (CSI). Moreover, on the receiver side, both SIC-based and SIC-free detection techniques are u...