ETRI JournalPub Date : 2024-09-06DOI: 10.4218/etrij.2023-0445
Salifou Mounchili, Soumaya Hamouda
{"title":"Efficient joint power allocation for mitigating intracluster interference in clustered NOMA system","authors":"Salifou Mounchili, Soumaya Hamouda","doi":"10.4218/etrij.2023-0445","DOIUrl":"https://doi.org/10.4218/etrij.2023-0445","url":null,"abstract":"<p>In recent years, the growing demand for massive connectivity has focused researchers' attention on next-generation radio access techniques. Nonorthogonal multiple access (NOMA) is a candidate for supporting massive connectivity. However, NOMA systems generate severe intracluster interference, which affects user groups (clusters) with low channel gain differences because of user clustering and the low power disparity between users. Therefore, multiuser NOMA clustering and power management policies must be adopted. We propose schemes for multiuser clustering and joint power allocation. We analytically formulate power allocation for a given signal-to-interference-plus-noise ratio considering users in the cluster with different and similar locations (channel gains) in the cell. The formulation is then applied to NOMA clusters. Finally, we evaluate the optimal cluster size according to the number of users. The proposed schemes outperform other approaches in terms of total cluster throughput and user throughput with the highest channel gain.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"216-226"},"PeriodicalIF":1.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-08-19DOI: 10.4218/etrij.2024-0031
Mounika Neelam, Anuradha Sundru
{"title":"An innovative method for improving the performance of unmanned aerial vehicle-based generalized spatial modulation and non-orthogonal multiple access in 6G networks","authors":"Mounika Neelam, Anuradha Sundru","doi":"10.4218/etrij.2024-0031","DOIUrl":"https://doi.org/10.4218/etrij.2024-0031","url":null,"abstract":"<p>The rapid evolution of wireless networks is leading to the emergence of 6G, promising unprecedented performance. We propose a nonorthogonal multiple access (NOMA)-based multiuser generalized spatial modulation (GSM) system that allows various transmitting antennas. Integrating unmanned aerial vehicles (UAVs) with NOMA and GSM enhances overall network performance. This paper proposes optimizing UAV-GSM-NOMA systems in 6G using the butterfly optimization algorithm (BOA) in the two-wave with diffuse power (TWDP) channel. Results are compared with those obtained from Nakagami and Rayleigh channels. Objectives include enhancing the sumrate, outage probability (OP), and energy efficiency (EE) in perfect and imperfect channel state information (CSI). Simulation results yield significant improvements in the TWDP channel compared with the Nakagami and Rayleigh channels. The OP is reduced, the sumrate is enhanced, and the EE is notably improved. These findings underscore the BOA's potential for 6G UAV-GSM-NOMA networks in challenging channel environments, ensuring reliable and efficient communication.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 3","pages":"492-504"},"PeriodicalIF":1.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2024-0031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144503095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-08-19DOI: 10.4218/etrij.2023-0485
Khushboo Jha, Sumit Srivastava, Aruna Jain
{"title":"A novel speaker verification approach featuring multidomain acoustics based on the weighted city block Minkowski distance","authors":"Khushboo Jha, Sumit Srivastava, Aruna Jain","doi":"10.4218/etrij.2023-0485","DOIUrl":"https://doi.org/10.4218/etrij.2023-0485","url":null,"abstract":"<p>Access control is vital in interconnected environments like the Internet of Things, Industry 4.0, and smart connectivity, ensuring authorized access for security. Biometric-based access, particularly speaker verification (SV), enhances security with unique vocal features, offering nonintrusive authentication with continuous monitoring. Single-domain features prove insufficient in distinguishing similar traits, prompting latest SV advancements to adopt multidomain-based speech features. This paradigm addresses the limitations of single-domain features by amalgamating the merits of individual domains, establishing a cutting-edge approach. It utilizes cepstral–frequency–time domain feature fusion, achieved via cepstral mean-variance normalization for generalizability. The weighted city block Minkowski distance is proposed to compare reference and test speech templates. Parameters are computed based on the confusion matrix, template matching distance functions, dynamic acoustic conditions, and additive white Gaussian noise. A deep convolutional neural network classifier is assessed on open-source LibriSpeech and Speaker in the Wild corpora, surpassing the current methodologies.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"227-243"},"PeriodicalIF":1.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0485","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing ASEP with imperfect-phase error and various modulation schemes on IRS-aided wireless network over κ–μ fading channel","authors":"Rajnish Kumar Ranjan, Atanu Chowdhury, Dibyendu Ghoshal","doi":"10.4218/etrij.2023-0383","DOIUrl":"https://doi.org/10.4218/etrij.2023-0383","url":null,"abstract":"<p>Next-generation wireless systems constitute a promising technology, and intelligent reflecting surface (IRS)-aided mobile communications can be used to design and simulate a smart and flexible radio environment. We examine the average symbol error probability (ASEP) on an IRS-aided wireless network over a <i>κ</i>–<i>μ</i> fading channel with imperfect phase error. In addition, the ASEP for non-coherent <i>M</i>-ary frequency shift keying, <i>M</i>-ary phase shift keying, and <i>M</i>-ary differential phase shift keying on an IRS-aided wireless network over a <i>κ</i>–<i>μ</i> fading channel are analyzed. Furthermore, exact closed-form mathematical expressions for ASEP across different modulation schemes including ASEP with imperfect phase error are derived. The accuracy of the derived expressions is validated through simulations. The system effectiveness is comprehensively examined, uncovering valuable insights into channel fading values and the number of reflecting components.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 1","pages":"59-68"},"PeriodicalIF":1.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143497253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-07-24DOI: 10.4218/etrij.2023-0523
Tinglong Liu, Haiyan Wang
{"title":"Low-resolution activity recognition using super-resolution and model ensemble networks","authors":"Tinglong Liu, Haiyan Wang","doi":"10.4218/etrij.2023-0523","DOIUrl":"10.4218/etrij.2023-0523","url":null,"abstract":"<p>In real-world video super-resolution, the complexity and diversity of degradations pose substantial challenges during both training and inference. Videos captured in real-world settings often depict activities at varying resolutions. Typically, these activities are filmed from a distance that reduces the resolution of imagery, which thus lacks discriminative features. To address this problem, we introduce an activity recognition solution. First, a unique integration of data transformation and attention-based average discriminator are employed for super-resolution feature augmentation. This approach mitigates the lack of discriminative cues in low-resolution videos. Subsequently, high-resolution features extracted from the recovered data are directly fed into a model ensemble for activity recognition. We evaluate the resulting method on the TinyVIRAT-v2 and HMDB51 datasets, achieving improved visual quality by leveraging the super-resolution and model ensemble strategy. The proposed method enhances the quality of textures and boosts activity recognition in low-resolution videos.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"303-311"},"PeriodicalIF":1.3,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0523","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Channel estimation for reconfigurable intelligent surface-aided millimeter-wave massive multiple-input multiple-output system with deep residual attention network","authors":"Xuhui Zheng, Ziyan Liu, Shitong Cheng, Yingyu Wu, Yunlei Chen, Qian Zhang","doi":"10.4218/etrij.2023-0555","DOIUrl":"10.4218/etrij.2023-0555","url":null,"abstract":"<p>We first model the channel estimation in sixth-generation (6G) systems as a super-resolution problem and adopt a deep residual attention approach to learn the nontrivial mapping from the received measurement to the reconfigurable intelligent surface (RIS) channel. Subsequently, we design a deep residual attention-based channel estimation framework (DRA-Net) to exploit the RIS channel distribution characteristics. Furthermore, to transfer the RIS channel feature maps extracted from the residual attention blocks (RABs) to the end of the estimator for accurate reconstruction, we propose a novel and effective feature fusion approach. The simulation results demonstrate that the proposed DRA-Net-based channel estimation method outperforms other deep learning-based and conventional algorithms.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 3","pages":"480-491"},"PeriodicalIF":1.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0555","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141822482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-07-19DOI: 10.4218/etrij.2023-0337
Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim
{"title":"LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm","authors":"Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim","doi":"10.4218/etrij.2023-0337","DOIUrl":"10.4218/etrij.2023-0337","url":null,"abstract":"<p>A long short-term memory (LSTM) model is introduced to predict missing datapoints of dissolved oxygen (DO) in an eel (<i>Anguilla japonica</i>) recirculating aquaculture system. Field experiments allow to determine periodic patterns in DO data corresponding to day–night cycles and a DO decrease after feeding. To improve the accuracy of DO prediction by using a training-to-test data ratio of 5:1, training with data in sequential and reverse orders is performed and evaluated. The LSTM model used to predict DO levels in the fish tank has an error of approximately 3.25%. The proposed LSTM model trained on DO data has a high applicability and may support water quality control in aquaculture farms.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"46 6","pages":"1047-1060"},"PeriodicalIF":1.3,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0337","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141823086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-07-05DOI: 10.4218/etrij.2023-0508
Jin Su Lee
{"title":"Contact lens holographic projection display based on curved volume-holographic optical element","authors":"Jin Su Lee","doi":"10.4218/etrij.2023-0508","DOIUrl":"10.4218/etrij.2023-0508","url":null,"abstract":"<p>Wearable devices for augmented reality (AR) have gained considerable attention but research on contact lenses remains scarce. This study introduces an AR display that utilizes a contact lens integrated with a holographic projection display and a curved volume-holographic optical element. We designed a holographic projection display with a total FoV 15°(supported FoV 10°) and a 6.9 mm \u0000<span></span><math>\u0000 <mo>×</mo></math> 3.9 mm eyebox, respectively. The computer-generated hologram was optimized to null quality degradation caused by pupil constraints and asymmetric diffraction efficiency distribution. The diffraction efficiency of the holographic optical element used in the contact lens was calculated to provide insights into the anticipated optical performance and identify issues associated with the proposed system. Excellent performance with a maximum diffraction efficiency of 95<i>%</i> is demonstrated under Bragg conditions. However, a substantial drop in efficiency is observed at angular deviations 4°. Conversely, the wavelength deviations had a negligible impact on diffraction efficiency. Finally, the proposed contact lens holographic display was optically reconstructed, confirming its potential as a next-generation wearable display technology.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 3","pages":"518-526"},"PeriodicalIF":1.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0508","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"3D-structure coupled monopole designs with lower frequency resonance","authors":"Enamul Khan, Md. Ataur Safi Rahaman Laskar, Khan Masood Parvez, SK. Moinul Haque","doi":"10.4218/etrij.2023-0415","DOIUrl":"10.4218/etrij.2023-0415","url":null,"abstract":"<p>In this study, we investigated three-dimensional configurations involving a monopole-coupled wired ring, a hollow metallic cylinder, and wired helix spring to achieve resonance lower than quarter-wave resonance. The resonance frequency of a quarter-wave monopole, originally 2.05 GHz, was significantly lowered by 54.53% through effective coupling with a wired ring, and a quarter-wave monopole properly coupled with a hollow metallic cylinder experienced a large decrease of 64.34%. The primary incentive for connecting a wired ring to a hollow metallic cylinder is to significantly reduce resonance frequency. Efforts were also made to lower resonance frequency in a wired helix spring with a length close to that of the wired ring, resulting in a substantial 78.83% reduction in resonance frequency. The −10 dB bandwidth was 14.63% for the quarter-wave monopole, 27.21% for the monopole-coupled wired ring, 33.71% for the monopole-coupled hollow metallic cylinder, and 4.69% for the monopole-coupled helix spring. The <i>ka</i> values for the monopole-coupled wired ring, hollow metallic cylinder, and helix spring were 0.35, 0.27, and 0.16, respectively. Hence, these antennas can be classified as electrically small antennas. The achieved resonant frequencies have applications in various wireless communication scenarios. The experimental results from the fabricated prototype agree well with the simulation results.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 1","pages":"47-58"},"PeriodicalIF":1.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0415","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ETRI JournalPub Date : 2024-06-12DOI: 10.4218/etrij.2023-0443
Zameer Ahmed Adhoni, Dayananda Lal Narayan
{"title":"Improving the interoperability of a Function-as-a-Service platform using an orchestration framework with a cloud-agnostic approach","authors":"Zameer Ahmed Adhoni, Dayananda Lal Narayan","doi":"10.4218/etrij.2023-0443","DOIUrl":"10.4218/etrij.2023-0443","url":null,"abstract":"<p>Function-as-a-Service (FaaS) applications suffer from cold-start latency owing to their high execution time and memory usage. We propose a FaaS orchestration framework based on a cloud-agnostic approach for application and data interoperability. The framework's performance is evaluated on the web application of a student attendance system for online learning. The test system comprises 300 records from 50 students across five courses. Through optional file elimination, entry recognition, optional function generation, and function-level rewriting, the proposed orchestration framework suitably manages the storage of the student attendance records. The framework notably contributes to the student attendance web application by ensuring scalable, reliable, and efficient operations. Various evaluation measures confirm the effectiveness of the orchestration framework. These measures include cold/warm-start execution time, cold/warm-start memory usage, and zip execution time. An empirical analysis reveals that our framework reduces the execution time by 2 s –15 s and memory usage by 1MB–3 MB for the evaluated application.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"312-325"},"PeriodicalIF":1.3,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}