Pub Date : 2020-02-01DOI: 10.1109/NCC48643.2020.9056039
BhanuPrakash Ramisetti, Abhinav Kumar
The 5G New Radio (NR) specifications by 3GPP include millimeter wave (mmWave) based operations for high data rates. To further satisfy the ever increasing demand for data rates, 5G NR can also be operated on the unlicensed mmWave bands. In this direction, various channel access schemes that consider Listen Before Talk (LBT) and Listen Before Receive (LBR) have been proposed in the literature. However, a thorough comparison of these schemes for fair coexistence with 60 GHz WiFi, also termed as WiGig, in different scenarios is needed. Hence, in this paper, we compare the performance of a combination of omni-directional and directional channel access schemes with LBTILBR/both in the presence of a realistic mmWave array antenna pattern, 3GPP mmWave Indoor path loss model, and fixed backoff mechanism for collision avoidance. Through extensive simulations, we show that the directional LBT combined with directional LBR and omni-directional LBT schemes perform better than other schemes in terms of sum rate, mean rate, and minimum rate in the system. Moreover, directional LBT performs better in terms of number of channel access and proportional fairness in the system as compared to other channel access schemes.
{"title":"Methods for Cellular Network's Operation in Unlicensed mmWave Bands","authors":"BhanuPrakash Ramisetti, Abhinav Kumar","doi":"10.1109/NCC48643.2020.9056039","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056039","url":null,"abstract":"The 5G New Radio (NR) specifications by 3GPP include millimeter wave (mmWave) based operations for high data rates. To further satisfy the ever increasing demand for data rates, 5G NR can also be operated on the unlicensed mmWave bands. In this direction, various channel access schemes that consider Listen Before Talk (LBT) and Listen Before Receive (LBR) have been proposed in the literature. However, a thorough comparison of these schemes for fair coexistence with 60 GHz WiFi, also termed as WiGig, in different scenarios is needed. Hence, in this paper, we compare the performance of a combination of omni-directional and directional channel access schemes with LBTILBR/both in the presence of a realistic mmWave array antenna pattern, 3GPP mmWave Indoor path loss model, and fixed backoff mechanism for collision avoidance. Through extensive simulations, we show that the directional LBT combined with directional LBR and omni-directional LBT schemes perform better than other schemes in terms of sum rate, mean rate, and minimum rate in the system. Moreover, directional LBT performs better in terms of number of channel access and proportional fairness in the system as compared to other channel access schemes.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120987493","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056070
Parvez Shaik, Deepak Kumar, V. Bhatia
In this work, we examine a dual-hop amplify-and-forward two-way relay system over independent and non-identically distributed Nakagami-m fading channels with integer values of fading parameter. We consider a three-node half-duplex relaying system with two source nodes and a relay node. To address the needs of present day energy constraint battery enabled relay nodes, we employ simultaneous wireless information and power transfer (SWIPT) for energy harvesting (EH) from ambient resources through time-switching protocol. Further, since a low-cost and low-complexity relay node has a non-linear power amplifier, we consider the impact of the same in the analysis. Framework, for outage probability of SWIPT enabled two-way relay system with non-linear amplifier is presented. Additionally, throughput analysis is performed and affect of non-linearity, EH and relay power over the system is analyzed. Accuracy of the derived expressions and impact of non-linear power amplifier over the SWIPT system are verified through the Monte-Carlo simulations.
{"title":"On Performance of SWIPT Enabled Two-Way Relay System with Non-Linear Power Amplifier","authors":"Parvez Shaik, Deepak Kumar, V. Bhatia","doi":"10.1109/NCC48643.2020.9056070","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056070","url":null,"abstract":"In this work, we examine a dual-hop amplify-and-forward two-way relay system over independent and non-identically distributed Nakagami-m fading channels with integer values of fading parameter. We consider a three-node half-duplex relaying system with two source nodes and a relay node. To address the needs of present day energy constraint battery enabled relay nodes, we employ simultaneous wireless information and power transfer (SWIPT) for energy harvesting (EH) from ambient resources through time-switching protocol. Further, since a low-cost and low-complexity relay node has a non-linear power amplifier, we consider the impact of the same in the analysis. Framework, for outage probability of SWIPT enabled two-way relay system with non-linear amplifier is presented. Additionally, throughput analysis is performed and affect of non-linearity, EH and relay power over the system is analyzed. Accuracy of the derived expressions and impact of non-linear power amplifier over the SWIPT system are verified through the Monte-Carlo simulations.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617932","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056073
Kumud Tripathi, K. S. Rao
This paper explores the vocal tract and excitation source information for the multilingual speech mode classification (MSMC) task. MSMC is a language independent speech mode classification model that could detect the mode of speech spoken in any language. Here, we considered data of three broad speech modes: conversation, extempore, and read from three Indian languages, namely, Telugu, Bengali, and Odia. The vocal tract information is captured using Mel-frequency cepstral coefficients. The pitch contour processed at supra-segmental level represents the excitation source information. The MSMC model is developed using multilayer perceptron. Experimental results show that the vocal tract features provide better overall identification accuracy, compared to excitation source information. Further, an improvement in overall accuracy is achieved by combining the scores obtained by two separate MSMC model based on excitation source and vocal tract features. The results generated using a combined score, outperform the model developed using standard vocal tract feature.
{"title":"Multilingual speech mode classification model for Indian languages","authors":"Kumud Tripathi, K. S. Rao","doi":"10.1109/NCC48643.2020.9056073","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056073","url":null,"abstract":"This paper explores the vocal tract and excitation source information for the multilingual speech mode classification (MSMC) task. MSMC is a language independent speech mode classification model that could detect the mode of speech spoken in any language. Here, we considered data of three broad speech modes: conversation, extempore, and read from three Indian languages, namely, Telugu, Bengali, and Odia. The vocal tract information is captured using Mel-frequency cepstral coefficients. The pitch contour processed at supra-segmental level represents the excitation source information. The MSMC model is developed using multilayer perceptron. Experimental results show that the vocal tract features provide better overall identification accuracy, compared to excitation source information. Further, an improvement in overall accuracy is achieved by combining the scores obtained by two separate MSMC model based on excitation source and vocal tract features. The results generated using a combined score, outperform the model developed using standard vocal tract feature.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743258","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056072
Soumen Mondal, Sanjay Dhar Roy, S. Kundu
An adaptive energy harvesting relay based Non-Orthogonal Multiple Access (NOMA) network is investigated where three schemes of energy harvesting adaptations utilizing power splitting relaying (PSR) are proposed. A comparative study of proposed adaptive PSR schemes, employing partial relay selection in NOMA relaying network is carried out. The proposed adaptive energy harvesting schemes outperform fixed PSR based energy harvesting in NOMA network as per priority of signals. It is observed that the imperfection of successive interference cancellation can significantly degrade the performance of strong signal (x2). The statistics of power splitting coefficients in proposed adaptive energy harvesting is also presented. A closed-form expressions on outage performance of two users NOMA network is developed which is verified by MATLAB based simulation.
{"title":"Adaptive Energy Harvesting with Relay Selection Schemes in an Ordered NOMA network","authors":"Soumen Mondal, Sanjay Dhar Roy, S. Kundu","doi":"10.1109/NCC48643.2020.9056072","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056072","url":null,"abstract":"An adaptive energy harvesting relay based Non-Orthogonal Multiple Access (NOMA) network is investigated where three schemes of energy harvesting adaptations utilizing power splitting relaying (PSR) are proposed. A comparative study of proposed adaptive PSR schemes, employing partial relay selection in NOMA relaying network is carried out. The proposed adaptive energy harvesting schemes outperform fixed PSR based energy harvesting in NOMA network as per priority of signals. It is observed that the imperfection of successive interference cancellation can significantly degrade the performance of strong signal (x2). The statistics of power splitting coefficients in proposed adaptive energy harvesting is also presented. A closed-form expressions on outage performance of two users NOMA network is developed which is verified by MATLAB based simulation.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133052659","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056046
Anish Kumar Vishwakarma, K. Bhurchandi
Major goal of blind video quality assessment (VQA) is to predict visual quality of videos for enhancing the quality of service (QoS) without any reference. However, the conventional VQA model uses video as a two-dimensional image sequence and extracts the features on a frame to frame basis; which completely neglects temporal nature of the video data and the corresponding distortion content as well. In this work, we come up with a novel no-reference VQA model that describes and exploits the inter sub-band statistics of the three-dimensional discrete wavelet transform (3-D DWT) coefficients of video blocks. First, the 3-D DWT transform decomposes the video block of selected size into eight 3-D DWT sub-bands. Then we propose various novel statistical features using the sub-band coefficients. Inter sub-band statistics depicts the spread of the various frequency components and correlation between them. 3-D DWT features automatically take care of the temporal distortions along with spatial distortions and subsequently the support vector regression (SVR) model estimates them to predict the visual quality score of distorted videos. Experimental results on LIVE database demonstrate the superiority of the proposed VQA model over the other state-of-the-art methods.
{"title":"No-Reference Video Quality Assessment (VQA) Using Novel Inter Sub-band 3-D DWT Features","authors":"Anish Kumar Vishwakarma, K. Bhurchandi","doi":"10.1109/NCC48643.2020.9056046","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056046","url":null,"abstract":"Major goal of blind video quality assessment (VQA) is to predict visual quality of videos for enhancing the quality of service (QoS) without any reference. However, the conventional VQA model uses video as a two-dimensional image sequence and extracts the features on a frame to frame basis; which completely neglects temporal nature of the video data and the corresponding distortion content as well. In this work, we come up with a novel no-reference VQA model that describes and exploits the inter sub-band statistics of the three-dimensional discrete wavelet transform (3-D DWT) coefficients of video blocks. First, the 3-D DWT transform decomposes the video block of selected size into eight 3-D DWT sub-bands. Then we propose various novel statistical features using the sub-band coefficients. Inter sub-band statistics depicts the spread of the various frequency components and correlation between them. 3-D DWT features automatically take care of the temporal distortions along with spatial distortions and subsequently the support vector regression (SVR) model estimates them to predict the visual quality score of distorted videos. Experimental results on LIVE database demonstrate the superiority of the proposed VQA model over the other state-of-the-art methods.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130080940","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}
Millimeter-wave (mmWave) communication has emerged as a promising candidate to meet the capacity demand in highly dense indoor environments for the next-generation cellular networks. Utilization of directional mmWave for Device to Device (D2D) communication systems provides low powered, high data rate transmission with manageable interference. In this paper, the rate and outage probability for mmWave integrated D2D communication system under Nakagami-m fading channel are derived. The performance of the model is analyzed by obtaining the closed-form expressions for the outage probability of a D2D user, wherein multiple cellular or D2D users are interfering with a mmWave integrated D2D transmission. The impact of various system parameters such as sectored beamforming gain probabilities and distance from interfering nodes on D2D outage probability are also investigated. Results show that the D2D outage probability decreases with an increase in main lobe gain, whereas increases with an increase in side lobe gain.
{"title":"Outage Analysis of mmWave Integrated Device-to-Device Communication System under Nakagami Fading Channel","authors":"Ratnakant Dinraj Govenker, Atharva Phatak, Rahul Bajpai, Naveen Gupta","doi":"10.1109/NCC48643.2020.9056087","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056087","url":null,"abstract":"Millimeter-wave (mmWave) communication has emerged as a promising candidate to meet the capacity demand in highly dense indoor environments for the next-generation cellular networks. Utilization of directional mmWave for Device to Device (D2D) communication systems provides low powered, high data rate transmission with manageable interference. In this paper, the rate and outage probability for mmWave integrated D2D communication system under Nakagami-m fading channel are derived. The performance of the model is analyzed by obtaining the closed-form expressions for the outage probability of a D2D user, wherein multiple cellular or D2D users are interfering with a mmWave integrated D2D transmission. The impact of various system parameters such as sectored beamforming gain probabilities and distance from interfering nodes on D2D outage probability are also investigated. Results show that the D2D outage probability decreases with an increase in main lobe gain, whereas increases with an increase in side lobe gain.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891093","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056024
B. K. Das, Arpan Mukherjee, M. Chakraborty
In this paper, we propose an efficient proportionate type block sparse LMS algorithm with a group zero-point attraction (GZA) penalty term for clustered sparse system identification. The proposed algorithm is based on the combination of a mechanism for proportionate gain control, and a mixed $l_{2},0$ norm regularization, and outperforms the existing class of block proportionate sparsity-induced algorithms. The performance analysis of the proposed algorithm is then carried out, providing limits to the mean deviation from the original system. We also propose an improved proportionate type block sparse adaptive filtering algorithm with modified gain control mechanism. This one is more robust to the varying degrees of sparsity in the system to be identified than the former. Numerical simulations to identify single and two clustered sparse systems using white, correlated, and speech signals manifest the superiority of the proposed algorithms.
{"title":"Block-Sparsity-Induced System Identification Using Efficient Adaptive Filtering","authors":"B. K. Das, Arpan Mukherjee, M. Chakraborty","doi":"10.1109/NCC48643.2020.9056024","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056024","url":null,"abstract":"In this paper, we propose an efficient proportionate type block sparse LMS algorithm with a group zero-point attraction (GZA) penalty term for clustered sparse system identification. The proposed algorithm is based on the combination of a mechanism for proportionate gain control, and a mixed $l_{2},0$ norm regularization, and outperforms the existing class of block proportionate sparsity-induced algorithms. The performance analysis of the proposed algorithm is then carried out, providing limits to the mean deviation from the original system. We also propose an improved proportionate type block sparse adaptive filtering algorithm with modified gain control mechanism. This one is more robust to the varying degrees of sparsity in the system to be identified than the former. Numerical simulations to identify single and two clustered sparse systems using white, correlated, and speech signals manifest the superiority of the proposed algorithms.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116770116","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056076
Rini A. Sharon, H. Murthy
One of the most significant obstacles that must be overcome in pursuing the utilization of brain signals for device control is the formulation of a robust signal processing method that can extract event specific information from real-time EEG signals. Typical Brain Computer Interface systems comprise of signal acquisition, feature extraction and classification modules. The focus in this paper is to experimentally evaluate various feature extraction and classification modules to comparatively determine the best performing feature-model(FM) pair. Few popular FM variants are implemented to classify units from coSpeech-EEG data collected during speech audition, imagination and production. Performance variations across sessions and subjects are also studied to analyse scalability and robustness of the various FM pairs. Simultaneous diagonalization of multiclass common spatial patterns obtained on EEG data coupled with a Gaussian mixture model based Hidden Markov Model proves to be the best FM pair for the task at hand rendering an average accuracy much higher than chance across 30 subjects in a multi-unit classification problem.
{"title":"Comparison of Feature-Model Variants for coSpeech-EEG Classification","authors":"Rini A. Sharon, H. Murthy","doi":"10.1109/NCC48643.2020.9056076","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056076","url":null,"abstract":"One of the most significant obstacles that must be overcome in pursuing the utilization of brain signals for device control is the formulation of a robust signal processing method that can extract event specific information from real-time EEG signals. Typical Brain Computer Interface systems comprise of signal acquisition, feature extraction and classification modules. The focus in this paper is to experimentally evaluate various feature extraction and classification modules to comparatively determine the best performing feature-model(FM) pair. Few popular FM variants are implemented to classify units from coSpeech-EEG data collected during speech audition, imagination and production. Performance variations across sessions and subjects are also studied to analyse scalability and robustness of the various FM pairs. Simultaneous diagonalization of multiclass common spatial patterns obtained on EEG data coupled with a Gaussian mixture model based Hidden Markov Model proves to be the best FM pair for the task at hand rendering an average accuracy much higher than chance across 30 subjects in a multi-unit classification problem.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122062650","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056062
Gagan Kanojia, S. Raman
Consider a set of images of a scene captured from multiple views with some missing regions in each image. In this work, we propose a convolutional neural network (CNN) architecture which fills the missing regions in one image using the information present in the remaining images. The network takes the set of images and their corresponding binary maps as inputs and generates an image with the completed missing regions. The binary map indicates the missing regions present in the corresponding image. The network is trained using an adversarial approach and is observed to generate sharp output images qualitatively. We evaluate the performance of the proposed approach on the dataset extracted from the standard dataset, MVS-Synth.
{"title":"MIC-GAN: Multi-view Assisted Image Completion Using Conditional Generative Adversarial Networks","authors":"Gagan Kanojia, S. Raman","doi":"10.1109/NCC48643.2020.9056062","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056062","url":null,"abstract":"Consider a set of images of a scene captured from multiple views with some missing regions in each image. In this work, we propose a convolutional neural network (CNN) architecture which fills the missing regions in one image using the information present in the remaining images. The network takes the set of images and their corresponding binary maps as inputs and generates an image with the completed missing regions. The binary map indicates the missing regions present in the corresponding image. The network is trained using an adversarial approach and is observed to generate sharp output images qualitatively. We evaluate the performance of the proposed approach on the dataset extracted from the standard dataset, MVS-Synth.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506446","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 : 2020-02-01DOI: 10.1109/NCC48643.2020.9056010
V. Rathore, Saptarshi Ghosh
This paper presents a frequency selective surface (FSS) based active design, which exhibits switchability between an absorber and a rasorber structure. Active components p-i-n diodes are symmetrically mounted in the geometry to realize the switching activity. For absorption, it adopts the concept of a circuit analog absorber during ON state, whereas for rasorber, an additional transmission window along with the broadband absorption is obtained during OFF state. The absorption band lies from 5.04 to 11.38 GHz for both the states, covering C and X bands in the spectrum, while the OFF-state transmission band is appearing at 2.82 GHz in the rasorber. Further, the proposed topology is four-fold symmetric and exhibits polarization-insensitive responses, unlike the earlier switchable rasorber structures. A possible realization of the proposed geometry, through establishment of the biasing network, has also been provided.
{"title":"A Polarization-Independent Frequency Selective Surface Based Switchable Absorber / Rasorber","authors":"V. Rathore, Saptarshi Ghosh","doi":"10.1109/NCC48643.2020.9056010","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056010","url":null,"abstract":"This paper presents a frequency selective surface (FSS) based active design, which exhibits switchability between an absorber and a rasorber structure. Active components p-i-n diodes are symmetrically mounted in the geometry to realize the switching activity. For absorption, it adopts the concept of a circuit analog absorber during ON state, whereas for rasorber, an additional transmission window along with the broadband absorption is obtained during OFF state. The absorption band lies from 5.04 to 11.38 GHz for both the states, covering C and X bands in the spectrum, while the OFF-state transmission band is appearing at 2.82 GHz in the rasorber. Further, the proposed topology is four-fold symmetric and exhibits polarization-insensitive responses, unlike the earlier switchable rasorber structures. A possible realization of the proposed geometry, through establishment of the biasing network, has also been provided.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568522","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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