Pub Date : 2021-07-27DOI: 10.1109/NCC52529.2021.9530129
Kamal Agrawal, Anand Jee, S. Prakriya
This paper investigates the performance of incremental relaying (IR) in a two-hop network with a battery-assisted EH relay. Assuming nonlinear energy harvesting (EH) and time-switching protocol at relay, expressions are derived for outage probability and throughput in closed-form to show that augmenting the harvested energy by a small amount of battery energy significantly enhances the throughput. We demonstrate that unlike linear EH, nonlinear EH causes loss of diversity, making use of the direct link very important. Further, using the asymptotic expression for the outage probability, we establish concavity of throughput with respect to EH parameter and demonstrate that a judicious choice of the TS parameter is essential in order to maximize the throughput when fixed battery energy is available per signalling interval. Judicious choice of target rate is important to minimize battery energy consumption at the relay. Monte Carlo simulations confirm accuracy of the derived expressions.
{"title":"On Performance of Battery-Assisted SWIPT with Incremental Relaying and Nonlinear Energy Harvesting","authors":"Kamal Agrawal, Anand Jee, S. Prakriya","doi":"10.1109/NCC52529.2021.9530129","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530129","url":null,"abstract":"This paper investigates the performance of incremental relaying (IR) in a two-hop network with a battery-assisted EH relay. Assuming nonlinear energy harvesting (EH) and time-switching protocol at relay, expressions are derived for outage probability and throughput in closed-form to show that augmenting the harvested energy by a small amount of battery energy significantly enhances the throughput. We demonstrate that unlike linear EH, nonlinear EH causes loss of diversity, making use of the direct link very important. Further, using the asymptotic expression for the outage probability, we establish concavity of throughput with respect to EH parameter and demonstrate that a judicious choice of the TS parameter is essential in order to maximize the throughput when fixed battery energy is available per signalling interval. Judicious choice of target rate is important to minimize battery energy consumption at the relay. Monte Carlo simulations confirm accuracy of the derived expressions.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115417917","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530062
Sipra Behera, B. Panigrahi, H. Rath, Jyotirmoy Karjee
Enterprises today are quickly adopting intelligent, adaptive, and flexible wireless communication technologies in order to become compliant with Industry 4.0. One of the technological challenges related to this is to provide Quality of Services (QoS)-enabled network connectivity to the applications. Diverse QoS demands from the applications intimidate the underlying wireless networks to be agile and adaptive. Since the applications are diverse in nature, there must be a mechanism to learn the application types in near real-time so that the network can be provisioned accordingly. In this paper, we propose a Machine Learning (ML) based method to classify the application traffic. Our method is different from the existing port based and Deep Packet Inspection (DPI) based methods and uses statistical features of the network traffic related to the applications. We validate the performance of the proposed model in a lab based SDNized WiFi set-up. SDNization ensures that the proposed model can be deployed in practice.
{"title":"On Traffic Classification in Enterprise Wireless Networks","authors":"Sipra Behera, B. Panigrahi, H. Rath, Jyotirmoy Karjee","doi":"10.1109/NCC52529.2021.9530062","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530062","url":null,"abstract":"Enterprises today are quickly adopting intelligent, adaptive, and flexible wireless communication technologies in order to become compliant with Industry 4.0. One of the technological challenges related to this is to provide Quality of Services (QoS)-enabled network connectivity to the applications. Diverse QoS demands from the applications intimidate the underlying wireless networks to be agile and adaptive. Since the applications are diverse in nature, there must be a mechanism to learn the application types in near real-time so that the network can be provisioned accordingly. In this paper, we propose a Machine Learning (ML) based method to classify the application traffic. Our method is different from the existing port based and Deep Packet Inspection (DPI) based methods and uses statistical features of the network traffic related to the applications. We validate the performance of the proposed model in a lab based SDNized WiFi set-up. SDNization ensures that the proposed model can be deployed in practice.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125604672","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530128
Suman Gare, S. Chel, Manohar Kuruba, S. Jana, L. Giri
Time-lapse fluorescent imaging of cytosolic calcium is used to detect cellular activity during preclinical experiments and drug screening studies. However, visualization and analysis of high dimension time series data remain challenging due to the presence of underlying heterogeneity. In this context, we propose t-distribution stochastic neighborhood embedding (t-SNE) and uniform manifold projection and approximation (UMAP) for visualization and analysis. Next, we show the density-based spatial clustering of applications with noise (DBSCAN) can be used to detect various spiking patterns present in calcium dose-response. The proposed framework combining t-SNE and DBSCAN was used to find repeating patterns, detect outliers, and label similar instances present in biological signaling.
{"title":"Dimension Reduction and Clustering of Single Cell Calcium Spiking: Comparison of t-SNE and UMAP","authors":"Suman Gare, S. Chel, Manohar Kuruba, S. Jana, L. Giri","doi":"10.1109/NCC52529.2021.9530128","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530128","url":null,"abstract":"Time-lapse fluorescent imaging of cytosolic calcium is used to detect cellular activity during preclinical experiments and drug screening studies. However, visualization and analysis of high dimension time series data remain challenging due to the presence of underlying heterogeneity. In this context, we propose t-distribution stochastic neighborhood embedding (t-SNE) and uniform manifold projection and approximation (UMAP) for visualization and analysis. Next, we show the density-based spatial clustering of applications with noise (DBSCAN) can be used to detect various spiking patterns present in calcium dose-response. The proposed framework combining t-SNE and DBSCAN was used to find repeating patterns, detect outliers, and label similar instances present in biological signaling.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127293343","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530193
Shubham Shinkar, B. V.
This paper considers a multi-relay aided full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) system integrated with simultaneous wireless information and power transfer (SWIPT) technique, which consists of a base station (BS), $N$ FD relays and two downlink NOMA users. We propose variable transmit power allocation (VTPA), where the power allocation factor at the BS and the time switching (TS) factor at the selected relay are chosen adaptively so as to improve the performance of the downlink users in the system. Assuming partial relay selection (PRS) scheme, analytical expressions are derived for the outage probabilities (OP) of the downlink users under VTPA and constant transmit power allocation (CTPA) schemes. To gain more insights, we describe the asymptotic OP (AOP) analysis as well. We show that the proposed VTPA scheme can mitigate the outage floor present in FD-NOMA system under CTPA and significantly improve the OP performance of the downlink users.
{"title":"Outage Analysis of SWIPT-Enabled Multi-Relay Aided Full-Duplex NOMA System under Partial Relay Selection","authors":"Shubham Shinkar, B. V.","doi":"10.1109/NCC52529.2021.9530193","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530193","url":null,"abstract":"This paper considers a multi-relay aided full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) system integrated with simultaneous wireless information and power transfer (SWIPT) technique, which consists of a base station (BS), $N$ FD relays and two downlink NOMA users. We propose variable transmit power allocation (VTPA), where the power allocation factor at the BS and the time switching (TS) factor at the selected relay are chosen adaptively so as to improve the performance of the downlink users in the system. Assuming partial relay selection (PRS) scheme, analytical expressions are derived for the outage probabilities (OP) of the downlink users under VTPA and constant transmit power allocation (CTPA) schemes. To gain more insights, we describe the asymptotic OP (AOP) analysis as well. We show that the proposed VTPA scheme can mitigate the outage floor present in FD-NOMA system under CTPA and significantly improve the OP performance of the downlink users.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678488","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530147
Pavan Kumar, Chiranjeevi Yarra, P. Ghosh
Automatic phrase boundary detection could be useful in applications, including computer-assisted pronunciation tutoring, spoken language understanding, and automatic speech recognition. In this work, we consider the problem of phrase boundary detection on English utterances spoken by native American speakers. Most of the existing works on boundary detection use either knowledge-based features or representations learnt from a convolutional neural network (CNN) based architecture, considering word segments. However, we hypothesize that combining knowledge-based features and learned representations could improve the boundary detection task's performance. For this, we consider a fusion-based model considering deep neural network (DNN) and CNN, where CNNs are used for learning representations and DNN is used to combine knowledge-based features and learned representations. Further, unlike existing data-driven methods, we consider two CNNs for learning representation, one for word segments and another for word-final syllable segments. Experiments on Boston University radio news and Switchboard corpora show the benefit of the proposed fusion-based approach compared to a baseline using knowledge-based features only and another baseline using feature representations from CNN only.
{"title":"DNN based phrase boundary detection using knowledge-based features and feature representations from CNN","authors":"Pavan Kumar, Chiranjeevi Yarra, P. Ghosh","doi":"10.1109/NCC52529.2021.9530147","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530147","url":null,"abstract":"Automatic phrase boundary detection could be useful in applications, including computer-assisted pronunciation tutoring, spoken language understanding, and automatic speech recognition. In this work, we consider the problem of phrase boundary detection on English utterances spoken by native American speakers. Most of the existing works on boundary detection use either knowledge-based features or representations learnt from a convolutional neural network (CNN) based architecture, considering word segments. However, we hypothesize that combining knowledge-based features and learned representations could improve the boundary detection task's performance. For this, we consider a fusion-based model considering deep neural network (DNN) and CNN, where CNNs are used for learning representations and DNN is used to combine knowledge-based features and learned representations. Further, unlike existing data-driven methods, we consider two CNNs for learning representation, one for word segments and another for word-final syllable segments. Experiments on Boston University radio news and Switchboard corpora show the benefit of the proposed fusion-based approach compared to a baseline using knowledge-based features only and another baseline using feature representations from CNN only.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683731","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530089
Abhijeet C. Gaonkar, Pragati Patel
Compact and wideband Circularly Polarized (CP) Quadrature Rectangular Dielectric Resonator Antenna (Q-RDRA) is designed and proposed using coaxial feed. The square shaped slots filled with air $epsilon_{r}=1$ are introduced to obtain wide impedance bandwidth by reducing effective dielectric constant. The edge grounding technique is used to miniaturize RDRA to the size 0.2 $lambda_{c}times 0.2 lambda_{c}times 0.2 lambda_{c}$ at centre frequency of 5.4 GHz. CP fields are obtained by optimizing feed location at an offset along x and y axis to excite $TE_{111}^{x}$ like and $TE_{111}^{y}$ like orthogonal modes. The proposed CP Q-RDRA provides wider 3-dB axial ratio bandwidth (ARBW) $ARBWleq 3dB$ of 42% (4.4 – 6.8 GHz),impedance bandwidth $S_{11}leq-10dB$ of 72% (3.4 – 7.3 GHz) respectively. The proposed structure offers LHCP gain of more than 6 dB and radiation efficiency of more than 95% in the complete frequency range of operation. Proposed CP antenna is applicable for C-band, Wi-MAX, WLAN applications.
设计并提出了一种采用同轴馈电的紧凑宽带圆极化正交矩形介质谐振器天线。引入充满空气$epsilon_{r}=1$的方形槽，通过降低有效介电常数获得较宽的阻抗带宽。采用边缘接地技术将RDRA缩小到0.2 $lambda_{c}times 0.2 lambda_{c}times 0.2 lambda_{c}$，中心频率为5.4 GHz。通过优化沿x和y轴偏移的进给位置来激发$TE_{111}^{x}$类和$TE_{111}^{y}$类正交模式，从而获得CP场。提出的CP Q-RDRA提供更宽的3db轴比带宽(ARBW) $ARBWleq 3dB$为42% (4.4 – 6.8 GHz),impedance bandwidth $S_{11}leq-10dB$ of 72% (3.4 – 7.3 GHz) respectively. The proposed structure offers LHCP gain of more than 6 dB and radiation efficiency of more than 95% in the complete frequency range of operation. Proposed CP antenna is applicable for C-band, Wi-MAX, WLAN applications.
{"title":"Compact and Wideband Circularly Polarized Quadrature Rectangular Dielectric Resonator Antenna","authors":"Abhijeet C. Gaonkar, Pragati Patel","doi":"10.1109/NCC52529.2021.9530089","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530089","url":null,"abstract":"Compact and wideband Circularly Polarized (CP) Quadrature Rectangular Dielectric Resonator Antenna (Q-RDRA) is designed and proposed using coaxial feed. The square shaped slots filled with air $epsilon_{r}=1$ are introduced to obtain wide impedance bandwidth by reducing effective dielectric constant. The edge grounding technique is used to miniaturize RDRA to the size 0.2 $lambda_{c}times 0.2 lambda_{c}times 0.2 lambda_{c}$ at centre frequency of 5.4 GHz. CP fields are obtained by optimizing feed location at an offset along x and y axis to excite $TE_{111}^{x}$ like and $TE_{111}^{y}$ like orthogonal modes. The proposed CP Q-RDRA provides wider 3-dB axial ratio bandwidth (ARBW) $ARBWleq 3dB$ of 42% (4.4 – 6.8 GHz),impedance bandwidth $S_{11}leq-10dB$ of 72% (3.4 – 7.3 GHz) respectively. The proposed structure offers LHCP gain of more than 6 dB and radiation efficiency of more than 95% in the complete frequency range of operation. Proposed CP antenna is applicable for C-band, Wi-MAX, WLAN applications.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121754358","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530031
Abdul Fathaah Shamsuddin, Abhijith P, Krupasankari Ragunathan, D. M, P. Sankaran
Haze is a naturally occurring phenomenon that obstructs vision and affects the quality of images and videos. Recent literature has shown that deep learning-based image dehazing gives promising results both in terms of image quality and execution time. However, the difficulty of acquiring realworld hazy - clear paired images for training still remains a challenge. Widely available datasets use synthetically generated hazy images that suffer from flaws due to difficulty in acquiring accurate depth information to synthesize realistic-looking haze, causing a gap in the real and synthetic domain. In this paper, we propose the usage of domain randomization for image dehazing by generating a completely simulated training dataset for deep learning models. A standard UNET based dehazing model is trained on the simulated dataset without using any real-world data to obtain high quality dehazed images. The performance of the proposed approach is evaluated on the Sun-Dehaze dataset and RESIDE Standard (SOTS outdoor) dataset. We obtain favorable PSNR and SSIM scores on both sets and we also show how our approach yields better visual results compared to other learning-based approaches.
{"title":"Domain Randomization on Deep Learning Models for Image Dehazing","authors":"Abdul Fathaah Shamsuddin, Abhijith P, Krupasankari Ragunathan, D. M, P. Sankaran","doi":"10.1109/NCC52529.2021.9530031","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530031","url":null,"abstract":"Haze is a naturally occurring phenomenon that obstructs vision and affects the quality of images and videos. Recent literature has shown that deep learning-based image dehazing gives promising results both in terms of image quality and execution time. However, the difficulty of acquiring realworld hazy - clear paired images for training still remains a challenge. Widely available datasets use synthetically generated hazy images that suffer from flaws due to difficulty in acquiring accurate depth information to synthesize realistic-looking haze, causing a gap in the real and synthetic domain. In this paper, we propose the usage of domain randomization for image dehazing by generating a completely simulated training dataset for deep learning models. A standard UNET based dehazing model is trained on the simulated dataset without using any real-world data to obtain high quality dehazed images. The performance of the proposed approach is evaluated on the Sun-Dehaze dataset and RESIDE Standard (SOTS outdoor) dataset. We obtain favorable PSNR and SSIM scores on both sets and we also show how our approach yields better visual results compared to other learning-based approaches.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912953","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530097
Chanchala Kumari, N. Chattoraj
A new simple microstrip power divider is presented for an antenna array. In this proposed structure micro strip lines are used in place of conventional waveguide, so that its overall size reduced. In this paper the two-power splitter are presented one is the simple T junction and other one is 1:4 power splitter, both designs simulated in CST studio suit and results for S parameters presented. The designed structure is simulated in frequency range of 7GHz to 13GHz. In this design the return loss found to be less than −15dB and also shows acceptable results for transmission loss in both the power splitters, which is desirable for power splitter.
提出了一种用于天线阵列的新型简易微带功率分配器。该结构采用微带线代替传统波导，减小了波导的整体尺寸。本文介绍了一种简单T型结和一种1:4功率分路器的双功率分路器，并在CST studio suit上进行了仿真，给出了S参数的计算结果。设计的结构在7GHz ~ 13GHz的频率范围内进行了仿真。在本设计中，发现回波损耗小于- 15dB，并且在两个功率分配器中也显示出可接受的传输损耗结果，这对于功率分配器来说是理想的。
{"title":"Design of an Elementary Microstrip Power Splitter for Antenna Array","authors":"Chanchala Kumari, N. Chattoraj","doi":"10.1109/NCC52529.2021.9530097","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530097","url":null,"abstract":"A new simple microstrip power divider is presented for an antenna array. In this proposed structure micro strip lines are used in place of conventional waveguide, so that its overall size reduced. In this paper the two-power splitter are presented one is the simple T junction and other one is 1:4 power splitter, both designs simulated in CST studio suit and results for S parameters presented. The designed structure is simulated in frequency range of 7GHz to 13GHz. In this design the return loss found to be less than −15dB and also shows acceptable results for transmission loss in both the power splitters, which is desirable for power splitter.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057571","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530123
Gourab Ghatak
In this paper, we analyze a multi-hop device-to-device (D2D) communication network operating in a region of cellular outage, e.g., in case of a natural disaster. In particular, we assume that the D2D devices operate in a half-duplex manner and can receive signals from or transmit to a single D2D relay. For this system, we characterize a multi-hop D2D transmission protocol wherein we divide the transmission area into multiple regions based on the D2D transmission range. In contrast to the other works present in literature, we have taken into account the probability of a relay being used by another D2D source at the instant when the typical D2D source attempts to connect to it. Then, we derive the signal to interference and noise ratio (SINR) coverage probability for a typical device. Based on this, we define and characterize a performance metric called the availability-coverage product (ACP) to jointly take into account the coverage performance of the devices and the probability of them being used as relays by the other devices in outage. Our analysis highlights several system design insights in terms of the D2D communication range and the optimal number of active devices in the network in terms of the ACP.
{"title":"Analysis of Multi-Hop Device-To-Device Networks with Half-Duplex Relays","authors":"Gourab Ghatak","doi":"10.1109/NCC52529.2021.9530123","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530123","url":null,"abstract":"In this paper, we analyze a multi-hop device-to-device (D2D) communication network operating in a region of cellular outage, e.g., in case of a natural disaster. In particular, we assume that the D2D devices operate in a half-duplex manner and can receive signals from or transmit to a single D2D relay. For this system, we characterize a multi-hop D2D transmission protocol wherein we divide the transmission area into multiple regions based on the D2D transmission range. In contrast to the other works present in literature, we have taken into account the probability of a relay being used by another D2D source at the instant when the typical D2D source attempts to connect to it. Then, we derive the signal to interference and noise ratio (SINR) coverage probability for a typical device. Based on this, we define and characterize a performance metric called the availability-coverage product (ACP) to jointly take into account the coverage performance of the devices and the probability of them being used as relays by the other devices in outage. Our analysis highlights several system design insights in terms of the D2D communication range and the optimal number of active devices in the network in terms of the ACP.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447530","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 : 2021-07-27DOI: 10.1109/NCC52529.2021.9530066
Justin Jose, Parvez Shaik, Shubham Bisen, V. Bhatia
Full-duplex (FD) and non-orthogonal multiple access (NOMA) communications are promising technologies which can efficiently utilize the available scarce spectrum in comparison to the traditional half-duplex (HD) and orthogonal multiple access (OMA) techniques. However, due to high residual self-interference (RSI) in the practical FD systems, virtual FD (VFD) relaying has garned appealing research attention in both academia and industry. In this work, we present a study of an uplink VFD-NOMA system with a base station, two relays, and two cell-edge uplink users, and analyze their performance over generalized Nakagami-m fading channels. Specifically, closed-form expressions of outage probability (OP) for both the users are derived for the considered system model, with the accuracy being verified through rigorous simulations. Moreover, the performance of the users is compared with the conventional FD-NOMA and FD-OMA schemes.
{"title":"On Outage Probability Analysis of Uplink Cooperative VFD-NOMA over Nakagami-m Faded Channels","authors":"Justin Jose, Parvez Shaik, Shubham Bisen, V. Bhatia","doi":"10.1109/NCC52529.2021.9530066","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530066","url":null,"abstract":"Full-duplex (FD) and non-orthogonal multiple access (NOMA) communications are promising technologies which can efficiently utilize the available scarce spectrum in comparison to the traditional half-duplex (HD) and orthogonal multiple access (OMA) techniques. However, due to high residual self-interference (RSI) in the practical FD systems, virtual FD (VFD) relaying has garned appealing research attention in both academia and industry. In this work, we present a study of an uplink VFD-NOMA system with a base station, two relays, and two cell-edge uplink users, and analyze their performance over generalized Nakagami-m fading channels. Specifically, closed-form expressions of outage probability (OP) for both the users are derived for the considered system model, with the accuracy being verified through rigorous simulations. Moreover, the performance of the users is compared with the conventional FD-NOMA and FD-OMA schemes.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129531298","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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