Pub Date : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179621
Suraj Srivastava, Amrita Mishra, A. Jagannatham, G. Ascheid
This work proposes a novel sparse Bayesian learning (SBL)-based hybrid precoder/ combiner design scheme for millimeter wave (mmWave) MIMO systems. Towards this end, a multiple measurement vector (MMV) based sparse signal recovery problem is developed that maximizes the mutual information by approximating the hybrid precoder to the ideal digital precoder. A unique aspect of the proposed SBL-based scheme is that the resulting hyperparameter estimates can be used to activate the minimum number of RF chains required to approximate the ideal digital precoder/ combiner, thus enabling one to leverage the time-varying multipath profile of the underlying mmWave MIMO channel. This feature coupled with the improved ability of SBL for sparse signal recovery leads to a significantly enhanced power and spectral efficiency of the proposed scheme in comparison to the conventional schemes that activate a fixed number of RF chains and data streams, irrespective of the multipath profile of the mmWave MIMO channel. Simulation results demonstrate the improved efficiency of the proposed scheme in comparison to the existing schemes and also the resulting reduction in the average number of RF chains employed.
{"title":"SBL-Based Hybrid Precoder/ Combiner Design for Power and Spectrally Efficient Millimeter Wave MIMO Systems","authors":"Suraj Srivastava, Amrita Mishra, A. Jagannatham, G. Ascheid","doi":"10.1109/SPCOM50965.2020.9179621","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179621","url":null,"abstract":"This work proposes a novel sparse Bayesian learning (SBL)-based hybrid precoder/ combiner design scheme for millimeter wave (mmWave) MIMO systems. Towards this end, a multiple measurement vector (MMV) based sparse signal recovery problem is developed that maximizes the mutual information by approximating the hybrid precoder to the ideal digital precoder. A unique aspect of the proposed SBL-based scheme is that the resulting hyperparameter estimates can be used to activate the minimum number of RF chains required to approximate the ideal digital precoder/ combiner, thus enabling one to leverage the time-varying multipath profile of the underlying mmWave MIMO channel. This feature coupled with the improved ability of SBL for sparse signal recovery leads to a significantly enhanced power and spectral efficiency of the proposed scheme in comparison to the conventional schemes that activate a fixed number of RF chains and data streams, irrespective of the multipath profile of the mmWave MIMO channel. Simulation results demonstrate the improved efficiency of the proposed scheme in comparison to the existing schemes and also the resulting reduction in the average number of RF chains employed.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125808613","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179532
Chaitanya Amballa, K. P. Naveen
In this work we propose detailed mathematical models to address the problem of achieving coexistence between the LTE and the WiFi technologies. Specifically, we first formulate an utility maxmization problem where our key contribution lies in identifying the necessary and sufficient set of constraints (including an interesting ctique constraint) that arise while timesharing the available WiFi spectrum among the LTE base-stations. We then use game theory to model scenarios where the LTEs are competitive; the solution is characterized in terms of constrained Nash equilibriums. We also obtain simplified formulations (both optimization and game-theoretic) by replacing the computationally intensive clique constraints with a simpler set of connectivity constraints. Finally, we conduct a numerical study to evaluate the performances of all the proposed schemes.
{"title":"Coexistence of LTE-Unlicensed and WiFi: optimization and Game-Theoretic Frameworks","authors":"Chaitanya Amballa, K. P. Naveen","doi":"10.1109/SPCOM50965.2020.9179532","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179532","url":null,"abstract":"In this work we propose detailed mathematical models to address the problem of achieving coexistence between the LTE and the WiFi technologies. Specifically, we first formulate an utility maxmization problem where our key contribution lies in identifying the necessary and sufficient set of constraints (including an interesting ctique constraint) that arise while timesharing the available WiFi spectrum among the LTE base-stations. We then use game theory to model scenarios where the LTEs are competitive; the solution is characterized in terms of constrained Nash equilibriums. We also obtain simplified formulations (both optimization and game-theoretic) by replacing the computationally intensive clique constraints with a simpler set of connectivity constraints. Finally, we conduct a numerical study to evaluate the performances of all the proposed schemes.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130000626","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179635
Viswanathan Ramachandran
A state amplification problem, where the common additive state to a Gaussian broadcast channel (BC) is to be estimated at both receivers, is considered. The state process, known non-causally at the encoder, is assumed to be independent and identically distributed (i.i.d.) Gaussian. Both receivers must estimate the state process to within acceptable squared error distortion limits. In addition to the state estimation, our setting also requires message transmission to the stronger receiver at a given rate. We are interested in the optimal trade-offs between the distortions incurred at the receivers when a message at a given rate is to be delivered from the encoder to the strong receiver. A complete characterization of the rate-distortion trade-off region is presented. Our result differs from a recent result where an additional common reconstruction constraint was imposed on the state estimates in the same setting, and it was observed that allowing the weak user to decode part of the private message to the stronger user helps the distortion trade-offs.
{"title":"Gaussian Broadcast Channel with State Estimation","authors":"Viswanathan Ramachandran","doi":"10.1109/SPCOM50965.2020.9179635","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179635","url":null,"abstract":"A state amplification problem, where the common additive state to a Gaussian broadcast channel (BC) is to be estimated at both receivers, is considered. The state process, known non-causally at the encoder, is assumed to be independent and identically distributed (i.i.d.) Gaussian. Both receivers must estimate the state process to within acceptable squared error distortion limits. In addition to the state estimation, our setting also requires message transmission to the stronger receiver at a given rate. We are interested in the optimal trade-offs between the distortions incurred at the receivers when a message at a given rate is to be delivered from the encoder to the strong receiver. A complete characterization of the rate-distortion trade-off region is presented. Our result differs from a recent result where an additional common reconstruction constraint was imposed on the state estimates in the same setting, and it was observed that allowing the weak user to decode part of the private message to the stronger user helps the distortion trade-offs.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121532776","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179629
Kaushal Patel, Rakesh Ashok, Shalabh Gupta
One of the critical operations in high-speed serial link receiver design is the recovery of clock embedded in the received data signal. If the received signal eye is not open, clock recovery becomes challenging. We present full-rate and halfrate clock recovery architectures for unequalized input signals with PAM-4 modulation. The proposed architectures comprise independent frequency and phase recovery loops for locking the voltage controlled oscillator frequency and phase to those of the incoming signal. This architecture is validated using simulations in Verilog-A for 100 Gbps PAM-4 signals extracted for optical fiber links of different fiber lengths. This system can recover the clock for the data obtained from a lkm standard single-mode fiber link, which otherwise gives a completely closed eye at the receiver input.
{"title":"Equalizer-Free Clock Recovery for PAM-4 Optical Interconnects","authors":"Kaushal Patel, Rakesh Ashok, Shalabh Gupta","doi":"10.1109/SPCOM50965.2020.9179629","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179629","url":null,"abstract":"One of the critical operations in high-speed serial link receiver design is the recovery of clock embedded in the received data signal. If the received signal eye is not open, clock recovery becomes challenging. We present full-rate and halfrate clock recovery architectures for unequalized input signals with PAM-4 modulation. The proposed architectures comprise independent frequency and phase recovery loops for locking the voltage controlled oscillator frequency and phase to those of the incoming signal. This architecture is validated using simulations in Verilog-A for 100 Gbps PAM-4 signals extracted for optical fiber links of different fiber lengths. This system can recover the clock for the data obtained from a lkm standard single-mode fiber link, which otherwise gives a completely closed eye at the receiver input.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593155","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179572
Niyas K. Haneefa, B. M. A. Desai, R. Sarathi, Manivasakan Rathinam
Partial discharges in transformer insulation are of major concern to utilities which cause the catastrophic failure of insulation. One of the major challenges is the identification of discharges from multiple sources when it occurs concurrently. Hence it is imperative to devise methods for identifying and separating those signals for corrective measures. In this study, an unsupervised learning approach is proposed for clustering of individual partial discharge signals and then using that information for separating the multi-source signals. Our clustering approach works by constructing a dendrogram by measuring the cosine similarity between the feature vectors and then computing a threshold, to group the individual source signals into different clusters. The feature vectors include the relative energies from the wavelet packet decomposed tree and the Higuchi fractal dimension of the wavelet coefficients at the terminal nodes. The generated clusters are trained using a classifier model to separate the individual and multi-source signals. The proposed approach is a simple and robust technique for individual cluster groupings and individual to multiclass separations and could be used for multiclass cluster groupings.
{"title":"Dendrogram based Clustering and Separation of Individual and Simultaneously Active Incipient Discharges in Transformer Insulation","authors":"Niyas K. Haneefa, B. M. A. Desai, R. Sarathi, Manivasakan Rathinam","doi":"10.1109/SPCOM50965.2020.9179572","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179572","url":null,"abstract":"Partial discharges in transformer insulation are of major concern to utilities which cause the catastrophic failure of insulation. One of the major challenges is the identification of discharges from multiple sources when it occurs concurrently. Hence it is imperative to devise methods for identifying and separating those signals for corrective measures. In this study, an unsupervised learning approach is proposed for clustering of individual partial discharge signals and then using that information for separating the multi-source signals. Our clustering approach works by constructing a dendrogram by measuring the cosine similarity between the feature vectors and then computing a threshold, to group the individual source signals into different clusters. The feature vectors include the relative energies from the wavelet packet decomposed tree and the Higuchi fractal dimension of the wavelet coefficients at the terminal nodes. The generated clusters are trained using a classifier model to separate the individual and multi-source signals. The proposed approach is a simple and robust technique for individual cluster groupings and individual to multiclass separations and could be used for multiclass cluster groupings.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454840","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179510
Gayathri Malamal, Mahesh Raveendranatha Panicker
Ultrasound medical imaging systems typically follow standard delay and sum (DAS) beamforming at the reception for image reconstruction. In DAS, the echo signals that are returned to the transducer are aligned in time and summed to form the beamformed signal. To improve the image quality and the signal to noise ratio of DAS, a non-linear beamforming named delay multiply and sum (DMAS) has been proposed in the literature, where, the signals arriving at the transducer are aligned in time and are pairwise multiplied in all possible combinations before summation. This provides better coherence, a correlation-based data-driven apodization, and consequently result in better contrast and resolution. However, the computational complexity of DMAS is higher than DAS thus restricting its real-time implementation. This paper presents two novel VLSI architectures for the implementation of DMAS, whose complexity is independent of the number of transducer elements. The proposed architectures are implemented on xc7z010c1g400-1 FPGA and the results clearly show the channel independency of the proposed architectures.
{"title":"VLSI architectures for Delay Multiply and Sum Beamforming in Ultrasound Medical Imaging","authors":"Gayathri Malamal, Mahesh Raveendranatha Panicker","doi":"10.1109/SPCOM50965.2020.9179510","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179510","url":null,"abstract":"Ultrasound medical imaging systems typically follow standard delay and sum (DAS) beamforming at the reception for image reconstruction. In DAS, the echo signals that are returned to the transducer are aligned in time and summed to form the beamformed signal. To improve the image quality and the signal to noise ratio of DAS, a non-linear beamforming named delay multiply and sum (DMAS) has been proposed in the literature, where, the signals arriving at the transducer are aligned in time and are pairwise multiplied in all possible combinations before summation. This provides better coherence, a correlation-based data-driven apodization, and consequently result in better contrast and resolution. However, the computational complexity of DMAS is higher than DAS thus restricting its real-time implementation. This paper presents two novel VLSI architectures for the implementation of DMAS, whose complexity is independent of the number of transducer elements. The proposed architectures are implemented on xc7z010c1g400-1 FPGA and the results clearly show the channel independency of the proposed architectures.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483367","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179569
Gyanajyoti Routray, R. Hegde
Lower order ambisonics suffers from low spatial resolution, where hardware complexity is high for direct recording the higher order ambisonics (HOA). This problem can be solved by upscaling the order-l ambisonics (B-format signals). In this paper, a sparse plane-wave decomposition method using sequential matching pursuit is developed for upscaling the order of ambisonics. The proposed method maintains the same sparsity level across multiple measurements and is computationally efficient. The performance of the proposed method is evaluated based on the error in encoded signal and reconstructed sound field, and compared with the state-of-art upscaling techniques. Perceptual evaluations are also conducted, which indicates a significant improvement in spatial resolution.
{"title":"Sparse Plane-wave Decomposition for Upscaling Ambisonic Signals","authors":"Gyanajyoti Routray, R. Hegde","doi":"10.1109/SPCOM50965.2020.9179569","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179569","url":null,"abstract":"Lower order ambisonics suffers from low spatial resolution, where hardware complexity is high for direct recording the higher order ambisonics (HOA). This problem can be solved by upscaling the order-l ambisonics (B-format signals). In this paper, a sparse plane-wave decomposition method using sequential matching pursuit is developed for upscaling the order of ambisonics. The proposed method maintains the same sparsity level across multiple measurements and is computationally efficient. The performance of the proposed method is evaluated based on the error in encoded signal and reconstructed sound field, and compared with the state-of-art upscaling techniques. Perceptual evaluations are also conducted, which indicates a significant improvement in spatial resolution.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131194997","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179503
BN Suhas, Jhansi Mallela, Aravind Illa, B. Yamini, A. Nalini, R. Yadav, D. Gope, P. Ghosh
We consider the task of speech based classification of patients with amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD) and healthy controls (HC). Recent work in convolutional neural networks (CNN) to solve image classification problems raises the possibility of utilizing spectral representation of speech for detection of neurological diseases. In this paper, a spectrogram based approach is used. Feeding overlapping windows to the CNN makes sure that the temporal aspects are considered by using short signal segments or wide analysis filters. A three class (ALS, PD or HC) dysarthria classification is performed. In addition, we perform two severity classification experiments for ALS (5 class) and PD (3 class) respectively. Experiments are conducted on both baseline MFCC data [1] and log Mel spectrograms. Classification results show that for several audio lengths, models trained on log Mel spectrograms consistently outperform those of MFCC’s. The ability of the network to accurately classify different classes is evaluated via the area under receiver operating characteristic curve [2],[3]. The findings from this study could aid in better detection and monitoring of ALS and PD diseases.
{"title":"Speech task based automatic classification of ALS and Parkinson’s Disease and their severity using log Mel spectrograms","authors":"BN Suhas, Jhansi Mallela, Aravind Illa, B. Yamini, A. Nalini, R. Yadav, D. Gope, P. Ghosh","doi":"10.1109/SPCOM50965.2020.9179503","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179503","url":null,"abstract":"We consider the task of speech based classification of patients with amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD) and healthy controls (HC). Recent work in convolutional neural networks (CNN) to solve image classification problems raises the possibility of utilizing spectral representation of speech for detection of neurological diseases. In this paper, a spectrogram based approach is used. Feeding overlapping windows to the CNN makes sure that the temporal aspects are considered by using short signal segments or wide analysis filters. A three class (ALS, PD or HC) dysarthria classification is performed. In addition, we perform two severity classification experiments for ALS (5 class) and PD (3 class) respectively. Experiments are conducted on both baseline MFCC data [1] and log Mel spectrograms. Classification results show that for several audio lengths, models trained on log Mel spectrograms consistently outperform those of MFCC’s. The ability of the network to accurately classify different classes is evaluated via the area under receiver operating characteristic curve [2],[3]. The findings from this study could aid in better detection and monitoring of ALS and PD diseases.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134460857","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179497
S. Shahnawazuddin, Tarun Sai Bandarupalli, R. Chakravarthy
When children’s speech is transcribed using acoustic models trained on adults’ data, a severely degraded recognition performance is obtained. Similar degradations are noted on recognizing adults’ speech using an automatic speech recognition (ASR) system trained on children’s speech. This problem can be overcome by using two separate ASR systems for the two groups of speakers. But this approach requires an effective technique to detect whether the given data is from adult or child speaker. In this paper, we present a very simple and novel technique to do the same. The proposed approach is based on speechrate rhythmicity parameter (SRRP). Since the speaking-rates for adults and children differ significantly, the SRRP values are also very different for the two groups of speakers. Hence, by computing the SRRP value for a given speech utterance, it can be easily determined whether it is from adult or child speaker. The corresponding ASR systems can then be used to achieve improved recognition performance. Alternatively, existing techniques for improving children’s speech recognition on adult data trained systems can be directly applied once it is known that the data is from a child speaker. Both these aspects have been experimentally validated in this work.
{"title":"Improving Automatic Speech Recognition by Classifying Adult and Child Speakers into Separate Groups using Speech Rate Rhythmicity Parameter","authors":"S. Shahnawazuddin, Tarun Sai Bandarupalli, R. Chakravarthy","doi":"10.1109/SPCOM50965.2020.9179497","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179497","url":null,"abstract":"When children’s speech is transcribed using acoustic models trained on adults’ data, a severely degraded recognition performance is obtained. Similar degradations are noted on recognizing adults’ speech using an automatic speech recognition (ASR) system trained on children’s speech. This problem can be overcome by using two separate ASR systems for the two groups of speakers. But this approach requires an effective technique to detect whether the given data is from adult or child speaker. In this paper, we present a very simple and novel technique to do the same. The proposed approach is based on speechrate rhythmicity parameter (SRRP). Since the speaking-rates for adults and children differ significantly, the SRRP values are also very different for the two groups of speakers. Hence, by computing the SRRP value for a given speech utterance, it can be easily determined whether it is from adult or child speaker. The corresponding ASR systems can then be used to achieve improved recognition performance. Alternatively, existing techniques for improving children’s speech recognition on adult data trained systems can be directly applied once it is known that the data is from a child speaker. Both these aspects have been experimentally validated in this work.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124050731","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 : 2020-07-01DOI: 10.1109/SPCOM50965.2020.9179631
Monika Jain, N. Sharma, Akash Gupta, D. Rawal, P. Garg
Underwater optical wireless communication plays an important role in the oceanography research, offshore exploration, climate monitoring, tactical surveillance and has attracted interest of military, industry, scientific and research community. In this paper, mixed satellite-underwater visible light communication (UWVLC) decode and forward (DF) cooperative system is proposed to help establish the connectivity between underwater scenario with the terrestrial regions via satellite for both oceanic monitoring as well as communication. The link between satellite and floating vessel (FV) is modeled by Shadowed-Rician fading channel and the UWVLC link is characterized by the mixture Exponential-Generalized Gamma (EGG) distribution. In particular, for the dual-hop satellite-UWVLC system, we derive the exact closed-form expressions for the average bit error rate (BER) in terms of a generalized Fox-H function. Furthermore, performance of the system is analyzed for various parameters such as air bubble levels, temperature gradient and saline level of water to validate the feasibility of the proposed system model.
{"title":"Performance Analysis of DF Relaying Assisted Underwater Visible Light Communication System","authors":"Monika Jain, N. Sharma, Akash Gupta, D. Rawal, P. Garg","doi":"10.1109/SPCOM50965.2020.9179631","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179631","url":null,"abstract":"Underwater optical wireless communication plays an important role in the oceanography research, offshore exploration, climate monitoring, tactical surveillance and has attracted interest of military, industry, scientific and research community. In this paper, mixed satellite-underwater visible light communication (UWVLC) decode and forward (DF) cooperative system is proposed to help establish the connectivity between underwater scenario with the terrestrial regions via satellite for both oceanic monitoring as well as communication. The link between satellite and floating vessel (FV) is modeled by Shadowed-Rician fading channel and the UWVLC link is characterized by the mixture Exponential-Generalized Gamma (EGG) distribution. In particular, for the dual-hop satellite-UWVLC system, we derive the exact closed-form expressions for the average bit error rate (BER) in terms of a generalized Fox-H function. Furthermore, performance of the system is analyzed for various parameters such as air bubble levels, temperature gradient and saline level of water to validate the feasibility of the proposed system model.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127738865","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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