Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708221
Bibekananda Panda, Poonam Singh
Non-Orthogonal Multiple Access (NOMA) is an effective innovation for fifth-generation and forthcoming wireless technology. NOMA aims to encounter the challenges of low latency, high accuracy, large availability, and peak performance. In this paper, the performance mechanisms of NOMA are discussed as compared to Orthogonal Multiple Access (OMA), and also for different user (far and near) scenarios. The techniques such as Heterogeneous Network (HetNet), Ultra-Reliable Low-Latency Communication (URLLC), and other 5G evolving technologies are highlighted for improved performance in the NOMA system. The simulation results are carried out to analyze the achievable capacity of OMA and NOMA, BER analysis, and sum-rate analysis of NOMA systems over Rayleigh and Rician fading channels. The simulation results reveal that the Rician fading channels have better performance than Rayleigh fading channels. This article also discusses potential research challenges as well as addressing current and future issues in NOMA.
{"title":"Performance Analysis of NOMA Systems in Rayleigh and Rician Fading Channels","authors":"Bibekananda Panda, Poonam Singh","doi":"10.1109/ACTS53447.2021.9708221","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708221","url":null,"abstract":"Non-Orthogonal Multiple Access (NOMA) is an effective innovation for fifth-generation and forthcoming wireless technology. NOMA aims to encounter the challenges of low latency, high accuracy, large availability, and peak performance. In this paper, the performance mechanisms of NOMA are discussed as compared to Orthogonal Multiple Access (OMA), and also for different user (far and near) scenarios. The techniques such as Heterogeneous Network (HetNet), Ultra-Reliable Low-Latency Communication (URLLC), and other 5G evolving technologies are highlighted for improved performance in the NOMA system. The simulation results are carried out to analyze the achievable capacity of OMA and NOMA, BER analysis, and sum-rate analysis of NOMA systems over Rayleigh and Rician fading channels. The simulation results reveal that the Rician fading channels have better performance than Rayleigh fading channels. This article also discusses potential research challenges as well as addressing current and future issues in NOMA.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708099
V. C. S. R. Rayavarapu, A. Mahapatro
One of the foremost complex issues in the application of wireless sensors is locating the sensor. Most standard range-free localization methods ignore the anisotropy factors common in Wireless Sensor Networks (WSNs), resulting in low placement precision. This paper proposes a well-performing Sun Flower Optimization Algorithm (SFO) for implementing the range-free anchor-free localization using Distance Vector-Hop (DV-Hop) in WSN. The localization of unknown nodes in the network is possible using a new objective model under range-free and anchor-free scenarios. The localization accuracy tremendously enhances when differentiated from the conventional methods.
{"title":"A Novel Range-Free Anchor-Free Localization In WSN Using Sun Flower Optimization Algorithm","authors":"V. C. S. R. Rayavarapu, A. Mahapatro","doi":"10.1109/ACTS53447.2021.9708099","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708099","url":null,"abstract":"One of the foremost complex issues in the application of wireless sensors is locating the sensor. Most standard range-free localization methods ignore the anisotropy factors common in Wireless Sensor Networks (WSNs), resulting in low placement precision. This paper proposes a well-performing Sun Flower Optimization Algorithm (SFO) for implementing the range-free anchor-free localization using Distance Vector-Hop (DV-Hop) in WSN. The localization of unknown nodes in the network is possible using a new objective model under range-free and anchor-free scenarios. The localization accuracy tremendously enhances when differentiated from the conventional methods.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"26 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126016884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708380
Abhishek Kumar, D. Upadhyay
This paper proposes compact quint-passband filter (QPF) having a Low passband (LP) and four Bandpass passbands (BPs). The QPF is implemented using four Composite right/left-handed open-end folded stubs (CRLH-OEFS) loaded on the main transmission line. In the LP region, the measured insertion loss is less than 0.56 dB. Four BPs show measured insertion loss less than 0.9 dB, 0.88 dB, 0.93 dB and 1.25 dB. Measured 3 dB cut-off frequency of the LP region is 0.61 GHz. The four BPs with center frequency 1.87, 3.61, 5.3 and 6.5 GHz have 3 dB fractional bandwidth of 44, 10.8, 4.5 and 4.46, respectively. The transmission zeros (TZs) observed at 0.67 GHz, 0.95 GHz, 2.65 GHz, 3.83 GHz, 3.98 GHz, 6.11 GHz and 7.3 GHz have insertion loss of 31 dB, 47 dB, 22 dB, 31 dB, 43 dB, 45 dB and 21 dB, respectively. A parametric analysis of the QPF’s physical parameters and modelling of the filter’s equivalent LC circuit is presented in this paper. The proposed QPF shows a small footprint (0.098 λg × 0.051 λg, where λg is the guided wavelength of the 50 Ω microstrip line at 0.61 GHz), good rejections with insertion loss of 31 dB, 47 dB, 22 dB, 31 dB, 43 dB, 45 dB and 21 dB at respective TZs and a sharp transition due to the creation of seven TZs between LP and BP responses.
{"title":"A Compact Planar Quint-Passband Lowpass-Bandpass Filter Using Open-End Folded Stub CRLH-TLs","authors":"Abhishek Kumar, D. Upadhyay","doi":"10.1109/ACTS53447.2021.9708380","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708380","url":null,"abstract":"This paper proposes compact quint-passband filter (QPF) having a Low passband (LP) and four Bandpass passbands (BPs). The QPF is implemented using four Composite right/left-handed open-end folded stubs (CRLH-OEFS) loaded on the main transmission line. In the LP region, the measured insertion loss is less than 0.56 dB. Four BPs show measured insertion loss less than 0.9 dB, 0.88 dB, 0.93 dB and 1.25 dB. Measured 3 dB cut-off frequency of the LP region is 0.61 GHz. The four BPs with center frequency 1.87, 3.61, 5.3 and 6.5 GHz have 3 dB fractional bandwidth of 44, 10.8, 4.5 and 4.46, respectively. The transmission zeros (TZs) observed at 0.67 GHz, 0.95 GHz, 2.65 GHz, 3.83 GHz, 3.98 GHz, 6.11 GHz and 7.3 GHz have insertion loss of 31 dB, 47 dB, 22 dB, 31 dB, 43 dB, 45 dB and 21 dB, respectively. A parametric analysis of the QPF’s physical parameters and modelling of the filter’s equivalent LC circuit is presented in this paper. The proposed QPF shows a small footprint (0.098 λg × 0.051 λg, where λg is the guided wavelength of the 50 Ω microstrip line at 0.61 GHz), good rejections with insertion loss of 31 dB, 47 dB, 22 dB, 31 dB, 43 dB, 45 dB and 21 dB at respective TZs and a sharp transition due to the creation of seven TZs between LP and BP responses.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708330
Abhijit Mishra, U. K. Sahoo, S. Maiti
The increase in demand of detecting obstructions in a wireless medium without attaching any device with the target is well facilitated by the Radio Tomographic Imaging (RTI) system. Even though it is a promising technique it is a cumbersome task to get the exact position and shape of an object due to ill-posed nature of RTI system. Thus vital task is to effectively choose a regularization technique that not only enhances sparsity by reducing noise after detection but also preserves edges of the object with its appropriate shape by using a heuristic weight model. RTI facilitates us with an imaging vector indicating the loss fields created by obstacles in the medium having knowledge of received signal strength(RSS) values and a weight model that assigns weight to the attenuated pixels in a wireless network. This paper addresses the above-mentioned problem by using a fused lasso regularization via ADMM. The second part of the paper extends performance of fused lasso regularization by implementing it incrementally using distributed learning. The performance metrics shows that fused lasso regularization not only reduces the noise level by increasing the sparsity but also retains the sharp features of the object.
{"title":"Sparsity based Radio Tomographic Imaging using Fused Lasso Regularization","authors":"Abhijit Mishra, U. K. Sahoo, S. Maiti","doi":"10.1109/ACTS53447.2021.9708330","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708330","url":null,"abstract":"The increase in demand of detecting obstructions in a wireless medium without attaching any device with the target is well facilitated by the Radio Tomographic Imaging (RTI) system. Even though it is a promising technique it is a cumbersome task to get the exact position and shape of an object due to ill-posed nature of RTI system. Thus vital task is to effectively choose a regularization technique that not only enhances sparsity by reducing noise after detection but also preserves edges of the object with its appropriate shape by using a heuristic weight model. RTI facilitates us with an imaging vector indicating the loss fields created by obstacles in the medium having knowledge of received signal strength(RSS) values and a weight model that assigns weight to the attenuated pixels in a wireless network. This paper addresses the above-mentioned problem by using a fused lasso regularization via ADMM. The second part of the paper extends performance of fused lasso regularization by implementing it incrementally using distributed learning. The performance metrics shows that fused lasso regularization not only reduces the noise level by increasing the sparsity but also retains the sharp features of the object.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121522082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9707907
Iqra Masroor, J. A. Ansari, Amrees Pandey
In the present work, a compact Square Microstrip Patch Antenna (SMPA) is reconfigured in frequency. The switching element used for antenna reconfiguration is a single PIN diode modeled on High Frequency Structure Simulator (HFSS) software. The ON/OFF switching configurations of the diode make the antenna capable of resonating at three different frequencies in the C-band (4–8 GHz): 5.3 GHz and 7.2 GHz in the OFF state and 6.3 GHz in the ON state. Inclusion of square fractal slots on the ground plane of the SMPA lead to considerable improvement in bandwidth.
{"title":"On the Frequency Reconfigurability of a Square Microstrip Patch Antenna With a Fractal Ground Plane","authors":"Iqra Masroor, J. A. Ansari, Amrees Pandey","doi":"10.1109/ACTS53447.2021.9707907","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9707907","url":null,"abstract":"In the present work, a compact Square Microstrip Patch Antenna (SMPA) is reconfigured in frequency. The switching element used for antenna reconfiguration is a single PIN diode modeled on High Frequency Structure Simulator (HFSS) software. The ON/OFF switching configurations of the diode make the antenna capable of resonating at three different frequencies in the C-band (4–8 GHz): 5.3 GHz and 7.2 GHz in the OFF state and 6.3 GHz in the ON state. Inclusion of square fractal slots on the ground plane of the SMPA lead to considerable improvement in bandwidth.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127364326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708385
S. Debnath, D. Sen, W. Arif
Scare spectrum resources of the wireless networks have to be used efficiently for network utility maximization. The allocation of resources to different services based on the differentiated quality of service (QoS) can be done with dynamic resource slicing (DRS) paradigm. DRS is very efficient in providing adequate QoS to the associated user of the network. In the two-tier heterogeneous network, considering the DRS framework, optimal allocation of radio resources to each user and association of user to a cell is a challenging task to be performed. In this work, the allocation of resources among normal data services and machine-to-machine services under the differentiated QoS is quantified and analyzed while considering the load dynamics of the 5G communication network. Here we utilize efficient state-of-the-art optimization algorithms to analyze the network utility maximization property under the consideration of user association to the network based on geographical location and cell capacity. It is observed that the formulated PSO and SSA based algorithm is efficient in respect of network utility maximization as compare to the geographical SINR based connected user to the network.
{"title":"Optimal Resource Allocation in Two Tier Heterogeneous Network Through Network Slicing","authors":"S. Debnath, D. Sen, W. Arif","doi":"10.1109/ACTS53447.2021.9708385","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708385","url":null,"abstract":"Scare spectrum resources of the wireless networks have to be used efficiently for network utility maximization. The allocation of resources to different services based on the differentiated quality of service (QoS) can be done with dynamic resource slicing (DRS) paradigm. DRS is very efficient in providing adequate QoS to the associated user of the network. In the two-tier heterogeneous network, considering the DRS framework, optimal allocation of radio resources to each user and association of user to a cell is a challenging task to be performed. In this work, the allocation of resources among normal data services and machine-to-machine services under the differentiated QoS is quantified and analyzed while considering the load dynamics of the 5G communication network. Here we utilize efficient state-of-the-art optimization algorithms to analyze the network utility maximization property under the consideration of user association to the network based on geographical location and cell capacity. It is observed that the formulated PSO and SSA based algorithm is efficient in respect of network utility maximization as compare to the geographical SINR based connected user to the network.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132371152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708327
D. Arun Kumar, S. Maity
In this work, a dual-band quad array slotted type absorber/reflector is presented for dual-band applications in smart stealth systems. The Frequency Selective Surface (FSS) is constructed from 1.6 mm thick FR4 material. The proposed FSS shows a dual-band at 5.68 and 7.94 GHz. It is also found that the proposed FSS is oblique incidence angle of the incident EM waves and insensitive to polarization. The Equivalent circuit model is also presented to understand the working principle of the FSS qualitatively.
{"title":"Dual-Band Polarization Insensitive Quad-array Slotted Type Frequency Selective Surface with Wide Angular Stability","authors":"D. Arun Kumar, S. Maity","doi":"10.1109/ACTS53447.2021.9708327","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708327","url":null,"abstract":"In this work, a dual-band quad array slotted type absorber/reflector is presented for dual-band applications in smart stealth systems. The Frequency Selective Surface (FSS) is constructed from 1.6 mm thick FR4 material. The proposed FSS shows a dual-band at 5.68 and 7.94 GHz. It is also found that the proposed FSS is oblique incidence angle of the incident EM waves and insensitive to polarization. The Equivalent circuit model is also presented to understand the working principle of the FSS qualitatively.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132395575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708124
Kavya Parasana, G. K. Sahoo, S. Das, Poonam Singh
This work presents an android-based application, the SOS (Save Our Souls), a personal safety app that aims to reduce the emergency response time in case of any road casualty. Currently, the increase in the number of road fatalities and injuries requires an advanced system that can intimate for immediate rescue to save precious lives. The use of smartphone’s onboard sensors data for vehicular accident detection and intimation will help in reducing the rescue time. Providing additional geolocation data to the nearest available emergency responder will immensely improve the odds of survival while saving time and resources for emergency services. Using the pre-filled medical details of the user will also help doctors for necessary diagnoses, which in turn will increase the scope of saving lives. This work aims to use today’s cell phones features with three-axis accelerometer data to improve road safety. The developed android application will suggest the nearest hospital with a Google root map. The phone call facility for rescue is enabled with automatic and manual calling facility for informing pre-filled emergency units like police, hospital, family members. This work implemented the android application and verified its working, reducing the rescue time for accident victims.
{"title":"A Health Perspective Smartphone Application for the Safety of Road Accident Victims","authors":"Kavya Parasana, G. K. Sahoo, S. Das, Poonam Singh","doi":"10.1109/ACTS53447.2021.9708124","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708124","url":null,"abstract":"This work presents an android-based application, the SOS (Save Our Souls), a personal safety app that aims to reduce the emergency response time in case of any road casualty. Currently, the increase in the number of road fatalities and injuries requires an advanced system that can intimate for immediate rescue to save precious lives. The use of smartphone’s onboard sensors data for vehicular accident detection and intimation will help in reducing the rescue time. Providing additional geolocation data to the nearest available emergency responder will immensely improve the odds of survival while saving time and resources for emergency services. Using the pre-filled medical details of the user will also help doctors for necessary diagnoses, which in turn will increase the scope of saving lives. This work aims to use today’s cell phones features with three-axis accelerometer data to improve road safety. The developed android application will suggest the nearest hospital with a Google root map. The phone call facility for rescue is enabled with automatic and manual calling facility for informing pre-filled emergency units like police, hospital, family members. This work implemented the android application and verified its working, reducing the rescue time for accident victims.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131848171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ultra-reliable low latency communication (URLLC) is one of the key services offered by the 5G wireless networks. This service type is characterized by stringent high reliability and low latency criteria, thus require efficient multiple access techniques to facilitate various mission-critical services. Non-orthogonal multiple access (NOMA) effectively enhances spectral efficiency and ensures fairness by exploiting the power allocation at receivers compared to orthogonal multiple access (OMA). Therefore, it becomes suitable for facilitating URLLC service. The addition of the cooperative relaying technique to NOMA can enhance the reliability of the data transmission. This motivated us to analyze the performance of cooperative NOMA (C-NOMA) for short packet URLLC data transmission. Hence, we have proposed a C-NOMA based system using the decode and forward (DF) relaying technique and successive interference cancellation (SIC) at the receiver to minimize the overall error probability for URLLC. The minimization of overall outage probability has been achieved by optimizing power allocation at the receiver considering the decoding error and error due to queuing delay violation while ensuring fair throughput among users. The simulation study has shown that the proposed C-NOMA based short packet transmission improves overall outage probability, energy efficiency, and ensures fair throughput among users in comparison to only NOMA and OMA based techniques.
{"title":"Improved outage performance with power optimization for URLLC using Cooperative NOMA","authors":"Annapurna Pradhan, Susmita Das, Shaktimaan Debendra Pratap","doi":"10.1109/ACTS53447.2021.9708102","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708102","url":null,"abstract":"Ultra-reliable low latency communication (URLLC) is one of the key services offered by the 5G wireless networks. This service type is characterized by stringent high reliability and low latency criteria, thus require efficient multiple access techniques to facilitate various mission-critical services. Non-orthogonal multiple access (NOMA) effectively enhances spectral efficiency and ensures fairness by exploiting the power allocation at receivers compared to orthogonal multiple access (OMA). Therefore, it becomes suitable for facilitating URLLC service. The addition of the cooperative relaying technique to NOMA can enhance the reliability of the data transmission. This motivated us to analyze the performance of cooperative NOMA (C-NOMA) for short packet URLLC data transmission. Hence, we have proposed a C-NOMA based system using the decode and forward (DF) relaying technique and successive interference cancellation (SIC) at the receiver to minimize the overall error probability for URLLC. The minimization of overall outage probability has been achieved by optimizing power allocation at the receiver considering the decoding error and error due to queuing delay violation while ensuring fair throughput among users. The simulation study has shown that the proposed C-NOMA based short packet transmission improves overall outage probability, energy efficiency, and ensures fair throughput among users in comparison to only NOMA and OMA based techniques.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125935838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-15DOI: 10.1109/ACTS53447.2021.9708107
Shubham Dwivedi, Tripti Goel, Rahul Sharma, R. Murugan
Alzheimer’s Disease (AD) is a prevalent, irreversible, chronic, and progressive disease leading to structural changes in the brain, causing the cognitive decline of brain function. Early detection of AD before clinical manifestation is crucial for patient care, effective therapeutic measures, and cost-saving. To address the challenge of timely diagnosis, in this paper, we designed a 3D-CNN framework with SVM as a classifier to harness the advantages of both Deep learning (DL) and Machine learning (ML). Experiments on AD neuroimaging initiative (ADNI) dataset yields fair 91.85% accuracy, 95.56% sensitivity, 90% specificity, 82.69% precision, and 88.66% f-score exhibiting the SVM outperformance over other ML classifiers. Thus, the proposed model is effective for the prognosis of AD and can be incorporated in healthcare.
{"title":"Structural MRI based Alzheimer’s Disease prognosis using 3D Convolutional Neural Network and Support Vector Machine","authors":"Shubham Dwivedi, Tripti Goel, Rahul Sharma, R. Murugan","doi":"10.1109/ACTS53447.2021.9708107","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708107","url":null,"abstract":"Alzheimer’s Disease (AD) is a prevalent, irreversible, chronic, and progressive disease leading to structural changes in the brain, causing the cognitive decline of brain function. Early detection of AD before clinical manifestation is crucial for patient care, effective therapeutic measures, and cost-saving. To address the challenge of timely diagnosis, in this paper, we designed a 3D-CNN framework with SVM as a classifier to harness the advantages of both Deep learning (DL) and Machine learning (ML). Experiments on AD neuroimaging initiative (ADNI) dataset yields fair 91.85% accuracy, 95.56% sensitivity, 90% specificity, 82.69% precision, and 88.66% f-score exhibiting the SVM outperformance over other ML classifiers. Thus, the proposed model is effective for the prognosis of AD and can be incorporated in healthcare.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124295800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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