Pub Date : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533918
V. Bhatt, K. G. Sharma, A. Ram
Many techniques are available to find outliers. Out of those, local Outlier Factor (LOF) is quite efficient and well researched outliers mining algorithm. LOF quantifies, how much outlying an object is, in a given database. We proposed, in this paper, a modification in k-distance and named it m-distance that enhances the performance. k-distance is the distance between object and its kth nearest neighbor, while m-distance is mean distance of an object and its k-distance neighborhood, increased by user supplied value λto increase performance. Modified algorithm is named as MLOF. The evaluation on real dataset shows that the proposed modification on LOF detects outliers more effectively.
{"title":"An enhanced approach for LOF in data mining","authors":"V. Bhatt, K. G. Sharma, A. Ram","doi":"10.1109/ICGHPC.2013.6533918","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533918","url":null,"abstract":"Many techniques are available to find outliers. Out of those, local Outlier Factor (LOF) is quite efficient and well researched outliers mining algorithm. LOF quantifies, how much outlying an object is, in a given database. We proposed, in this paper, a modification in k-distance and named it m-distance that enhances the performance. k-distance is the distance between object and its kth nearest neighbor, while m-distance is mean distance of an object and its k-distance neighborhood, increased by user supplied value λto increase performance. Modified algorithm is named as MLOF. The evaluation on real dataset shows that the proposed modification on LOF detects outliers more effectively.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"2021 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127368322","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533919
A. Oliver, A. Samraj, M. Rajavel
The desired performance of every childcare and monitoring system is to clearly read the user activity into a relevant category of the solution domain. This categorization highly depends on error free processing methods and systematic regression or classification. The wearable interface acquires multiple signals of the user activity that serves as the input to the monitoring system. The pattern of the signal array after necessary consolidation and feature processing, determines its candidature into defined classes. Hence it is crucial to deploy a strong classifier which can characterize the activity of the user into normal zone activities or dangerous. In this paper, we used the robust and adroitness classification model Fuzzy ARTMAP to classify signals from wearable interface for augmenting the accuracy of the child monitoring system. The Fuzzy ARTMAP is an ART network for the association of analogy pattern in supervised mode and is capable of overcoming the stability-Plasticity dilemma. In our experiments, the arrays of sensor signals extracted from the wearable interface during monitoring process from toddlers are classified using the feature signal pattern. The high accuracy obtained as classification percentages validates the suitability of our proposed Fuzzy ARTMAP classification for such critical real time system.
{"title":"Fuzzy ARTMAP based feature classification for danger and safety zone prediction for toddlers using wearable electrodes","authors":"A. Oliver, A. Samraj, M. Rajavel","doi":"10.1109/ICGHPC.2013.6533919","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533919","url":null,"abstract":"The desired performance of every childcare and monitoring system is to clearly read the user activity into a relevant category of the solution domain. This categorization highly depends on error free processing methods and systematic regression or classification. The wearable interface acquires multiple signals of the user activity that serves as the input to the monitoring system. The pattern of the signal array after necessary consolidation and feature processing, determines its candidature into defined classes. Hence it is crucial to deploy a strong classifier which can characterize the activity of the user into normal zone activities or dangerous. In this paper, we used the robust and adroitness classification model Fuzzy ARTMAP to classify signals from wearable interface for augmenting the accuracy of the child monitoring system. The Fuzzy ARTMAP is an ART network for the association of analogy pattern in supervised mode and is capable of overcoming the stability-Plasticity dilemma. In our experiments, the arrays of sensor signals extracted from the wearable interface during monitoring process from toddlers are classified using the feature signal pattern. The high accuracy obtained as classification percentages validates the suitability of our proposed Fuzzy ARTMAP classification for such critical real time system.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114563842","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533930
Saeid Ghahremani, M. Sattari, S. Khorsandroo, Mohamed Ahmed, R. M. Noor
Global warming and its related phenomena such as iceberg melting and sea level rising, is the result of human's penchant to industrial living which leads to increase of greenhouse gas emission. Increase of greenhouse gas inside the atmosphere gets result in Greenhouse effect phenomenon. This problem has received increasing attention from scholars and industries in recent years under name of green. Controlling or decreasing of Green House Gas emissions is possible by green programs and technologies in future. These programs are considered as an effective solution of global warming prevention. The main reason of greenhouse gas emissions in urban environment is unnecessary deceleration and acceleration of moving vehicles as well as drivers' risky actions such as reverse moves, fast speed zigzag moves. Therefore, a traffic management system is needed for providing smooth trips for drivers. By a periodic central abnormal and normal vehicles clustering, at each moment we can suggest less risk roads to vehicles for reaching to their destination with less risk. In addition potential hazards can be avoided. In this paper, we propose a model to calculate mobile vehicles risk by monitoring them and calculate the shortest path with minimum risk based on updated collected data in each moment. This model can use in both case of general and emergency vehicle.
{"title":"A traffic control model on VANET environment for minimum road risk in a shortest way","authors":"Saeid Ghahremani, M. Sattari, S. Khorsandroo, Mohamed Ahmed, R. M. Noor","doi":"10.1109/ICGHPC.2013.6533930","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533930","url":null,"abstract":"Global warming and its related phenomena such as iceberg melting and sea level rising, is the result of human's penchant to industrial living which leads to increase of greenhouse gas emission. Increase of greenhouse gas inside the atmosphere gets result in Greenhouse effect phenomenon. This problem has received increasing attention from scholars and industries in recent years under name of green. Controlling or decreasing of Green House Gas emissions is possible by green programs and technologies in future. These programs are considered as an effective solution of global warming prevention. The main reason of greenhouse gas emissions in urban environment is unnecessary deceleration and acceleration of moving vehicles as well as drivers' risky actions such as reverse moves, fast speed zigzag moves. Therefore, a traffic management system is needed for providing smooth trips for drivers. By a periodic central abnormal and normal vehicles clustering, at each moment we can suggest less risk roads to vehicles for reaching to their destination with less risk. In addition potential hazards can be avoided. In this paper, we propose a model to calculate mobile vehicles risk by monitoring them and calculate the shortest path with minimum risk based on updated collected data in each moment. This model can use in both case of general and emergency vehicle.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123741096","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533927
M. Dhanapal, K. Lakshmi
This paper proposes the stochastic cost model solution technique for optimal operation of the generators in a wind-thermal scheduling considering the demand and wind power generation uncertainties. Wind-thermal scheduling problem is to determine time of instant to start up and shut down units. The main objective of this paper is to minimize the fuel cost and maximizes the profit of wind-thermal generation scheduling. The cost curve of the wind-thermal generating units is linearized in a piecewise manner, so that a mixed integer programming can be used to solve the optimization problem. In this mixed integer programming methods provides the enhanced modeling capabilities and adaptability. The mathematical modeling of this paper is to find an optimal solution which takes into account all possible realizations of the underlying uncertain wind power factor. The performance of the proposed mixed integer programming method has been tested with IEEE-36 unit thermal system in addition with one unit of 50MW wind-power system.
{"title":"Co-ordination of thermal unit system with wind energy system for scheduling problem in restructured power system","authors":"M. Dhanapal, K. Lakshmi","doi":"10.1109/ICGHPC.2013.6533927","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533927","url":null,"abstract":"This paper proposes the stochastic cost model solution technique for optimal operation of the generators in a wind-thermal scheduling considering the demand and wind power generation uncertainties. Wind-thermal scheduling problem is to determine time of instant to start up and shut down units. The main objective of this paper is to minimize the fuel cost and maximizes the profit of wind-thermal generation scheduling. The cost curve of the wind-thermal generating units is linearized in a piecewise manner, so that a mixed integer programming can be used to solve the optimization problem. In this mixed integer programming methods provides the enhanced modeling capabilities and adaptability. The mathematical modeling of this paper is to find an optimal solution which takes into account all possible realizations of the underlying uncertain wind power factor. The performance of the proposed mixed integer programming method has been tested with IEEE-36 unit thermal system in addition with one unit of 50MW wind-power system.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147091","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533909
N S Girish Rao Salanke, A. Samraj, N. Maheswari, S. Sadhasivam
In the recent years, automated security systems have become one of the major concerns. Secure and reliable authentication of a person is in great demand. In this paper, we propose the applicability of Photoplethysmograph (PPG) signal for human identification. Fourier series analysis and Semi Discrete Decomposition methods are applied to extract the features that appear to offer excellent discrimination among subjects. The main obstacle while analysing a PPG signal is the presence of noise, contaminated by motion artifact. The proposed method exhibits good identification accuracies not just with the normal PPG signals, but also with the motion artifact PPG signal.
{"title":"Enhancement in the design of biometric identification system based on photoplethysmography data","authors":"N S Girish Rao Salanke, A. Samraj, N. Maheswari, S. Sadhasivam","doi":"10.1109/ICGHPC.2013.6533909","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533909","url":null,"abstract":"In the recent years, automated security systems have become one of the major concerns. Secure and reliable authentication of a person is in great demand. In this paper, we propose the applicability of Photoplethysmograph (PPG) signal for human identification. Fourier series analysis and Semi Discrete Decomposition methods are applied to extract the features that appear to offer excellent discrimination among subjects. The main obstacle while analysing a PPG signal is the presence of noise, contaminated by motion artifact. The proposed method exhibits good identification accuracies not just with the normal PPG signals, but also with the motion artifact PPG signal.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790519","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533908
S. Tanuja, G. Sonal
In the modern era the world comes nearer to every individual as an IT revolution where all the applications are computerized. As the level of security breaches and frauds of transaction increases, it requires highly secure identification and personal verification technologies. Though there are various biometric traits such as iris, fingerprint and palm print etc., we focused on face recognition as it is socially acceptable and reliable. Here user identity plays a very important role to uniquely verify or authenticate the individual person. Instead of designing more complex system, which is more expensive and which requires more software and hardware resources, it is essential to think about to bridge the gap which will create a system with simplicity, less costly and efficient, as well as socially acceptable. Utilizing biometrics for personal authentication is becoming convenient and considerably more accurate than current methods (such as the utilization of passwords or PINs). The factors which highly impact the face recognition system performance are illumination and pose variations. Feature extraction is the key to reach face recognition. In literature various feature extraction techniques in spatial and frequency domain are available. This paper gives overview of the existing feature extraction techniques PCA, DCT, Walsh and BTC for face recognition and comparative analysis.
{"title":"A review of feature extraction techniques BTC, DCT, Walsh and PCA with FDM and BDM for face recognition","authors":"S. Tanuja, G. Sonal","doi":"10.1109/ICGHPC.2013.6533908","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533908","url":null,"abstract":"In the modern era the world comes nearer to every individual as an IT revolution where all the applications are computerized. As the level of security breaches and frauds of transaction increases, it requires highly secure identification and personal verification technologies. Though there are various biometric traits such as iris, fingerprint and palm print etc., we focused on face recognition as it is socially acceptable and reliable. Here user identity plays a very important role to uniquely verify or authenticate the individual person. Instead of designing more complex system, which is more expensive and which requires more software and hardware resources, it is essential to think about to bridge the gap which will create a system with simplicity, less costly and efficient, as well as socially acceptable. Utilizing biometrics for personal authentication is becoming convenient and considerably more accurate than current methods (such as the utilization of passwords or PINs). The factors which highly impact the face recognition system performance are illumination and pose variations. Feature extraction is the key to reach face recognition. In literature various feature extraction techniques in spatial and frequency domain are available. This paper gives overview of the existing feature extraction techniques PCA, DCT, Walsh and BTC for face recognition and comparative analysis.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121114463","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533912
M. Blessa, Binolin Pepsi, K Mala
The setting in which similarity querying of metric data is outsourced to a service provider. Users query the server for the most similar data objects and data is revealed only to trusted users and not to anyone else. The need for privacy may be due to the data being sensitive (eg. in medicine), valuable (eg. in astronomy) or otherwise confidential. In this work, image retrieval on metric data of outsourced lung images using parallelism from various sources like hospitals, scan centers and public database available in internet are handled. The proposed similarity search for content based image retrieval involves dynamic similarity querying on metric data from segmented and extracted texture features database. With real data, the technique is capable of offering privacy while enabling efficient and accurate processing of similarity queries.
{"title":"Similarity search on metric data of outsourced lung images","authors":"M. Blessa, Binolin Pepsi, K Mala","doi":"10.1109/ICGHPC.2013.6533912","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533912","url":null,"abstract":"The setting in which similarity querying of metric data is outsourced to a service provider. Users query the server for the most similar data objects and data is revealed only to trusted users and not to anyone else. The need for privacy may be due to the data being sensitive (eg. in medicine), valuable (eg. in astronomy) or otherwise confidential. In this work, image retrieval on metric data of outsourced lung images using parallelism from various sources like hospitals, scan centers and public database available in internet are handled. The proposed similarity search for content based image retrieval involves dynamic similarity querying on metric data from segmented and extracted texture features database. With real data, the technique is capable of offering privacy while enabling efficient and accurate processing of similarity queries.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115965228","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533915
M. Vidhya
Support Vector Machine, a powerful data mining technique is used for the classification of attacks. SVM is implemented using WEKA tool in which the Radial Basis Function proves to be an efficient Kernel for the classification of portscan attacks. KDD'99 dataset consisting of portscan and normal traces termed as mixed traffic is given as input to SVM in two phases, i.e., without feature reduction and with feature reduction using Consistency Subset Evaluation algorithm and Best First search method. In the first phase, the mixed traffic as a whole is given as input to SVM. In the second phase, feature reduction algorithm is applied over the mixed traffic and then fed to SVM. Finally the performance is compared in accordance with classification between the two phases. The performance of the proposed method is measured using false positive rate and computation time.
{"title":"Efficient classification of portscan attacks using Support Vector Machine","authors":"M. Vidhya","doi":"10.1109/ICGHPC.2013.6533915","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533915","url":null,"abstract":"Support Vector Machine, a powerful data mining technique is used for the classification of attacks. SVM is implemented using WEKA tool in which the Radial Basis Function proves to be an efficient Kernel for the classification of portscan attacks. KDD'99 dataset consisting of portscan and normal traces termed as mixed traffic is given as input to SVM in two phases, i.e., without feature reduction and with feature reduction using Consistency Subset Evaluation algorithm and Best First search method. In the first phase, the mixed traffic as a whole is given as input to SVM. In the second phase, feature reduction algorithm is applied over the mixed traffic and then fed to SVM. Finally the performance is compared in accordance with classification between the two phases. The performance of the proposed method is measured using false positive rate and computation time.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114165110","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533922
Pardeep Singh, P. Lalley
Telemetry, Tracking and Command system is one of the most important subsystems in a launch vehicle. Without TTC system there can be no communication link between Launch vehicle and Ground Station. Usage of available digital radio components, signal processing hardware, digital interface technologies, techniques such as direct intermediate frequency sampling, direct digital down conversion and reconfigurable logic enables us to replace traditional rack and stack Ground Stations with more flexible and compact portable configurations. Main functions such as carrier locking, symbol tracking, data demodulation, beam tracking, AGC processing and filtering can be carried out in digital domain. The general design philosophy for Portable Telemetry Ground Station (PTGS) is to take advantage of these possibilities, thereby reducing analog hardware requirements. The advantages of realizing a Portable Telemetry Ground Station (PTGS) for accessing telemetry data from launch vehicles, using such an approach are as follows; Portability, Programmability, Modularity, Low- cost, Flexibility, Easy manufacturability.
{"title":"Portable monopulse tracking receiver","authors":"Pardeep Singh, P. Lalley","doi":"10.1109/ICGHPC.2013.6533922","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533922","url":null,"abstract":"Telemetry, Tracking and Command system is one of the most important subsystems in a launch vehicle. Without TTC system there can be no communication link between Launch vehicle and Ground Station. Usage of available digital radio components, signal processing hardware, digital interface technologies, techniques such as direct intermediate frequency sampling, direct digital down conversion and reconfigurable logic enables us to replace traditional rack and stack Ground Stations with more flexible and compact portable configurations. Main functions such as carrier locking, symbol tracking, data demodulation, beam tracking, AGC processing and filtering can be carried out in digital domain. The general design philosophy for Portable Telemetry Ground Station (PTGS) is to take advantage of these possibilities, thereby reducing analog hardware requirements. The advantages of realizing a Portable Telemetry Ground Station (PTGS) for accessing telemetry data from launch vehicles, using such an approach are as follows; Portability, Programmability, Modularity, Low- cost, Flexibility, Easy manufacturability.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114381141","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 : 2013-03-14DOI: 10.1109/ICGHPC.2013.6533926
G. Indumathi, D. A. Joe
The Third Generation Partnership Project (3GPP) provides the Long Term Evolution (LTE) standards for the fourth generation (4G) wireless communication systems. Single Carrier Frequency Division Multiple Access (SC-FDMA) and Orthogonal Division Multiple Access (OFDMA) are the two major techniques used in LTE. The main drawback of OFDMA over SC-FDMA is its high peak to average power ratio (PAPR). Hence OFDMA is used in the downlink of the fourth generation (4G) wireless communication systems for its high spectral efficiency and high PAPR. SC-FDMA is used in the uplink of the fourth generation (4G) wireless communication systems since it is more power efficient. The main objective of this paper is to design optimum physical layer architecture of a high data rate LTE uplink transceiver using SC-FDMA multiple access scheme with error correction mechanism using Low dense parity check codes (LDPC) to provide lesser Bit Error Rate (BER) and avoiding packet loss by Interleaving. The optimum physical layer architecture for the fourth generation (4G) wireless communication systems is chosen by comparing the LDPC coded SC-FDMA with the LDPC coded OFDMA. The chosen architecture must be more power efficient and support high data rates, which is the main prerequisite for the mobile user.
{"title":"Design of optimum physical layer architecture for a high data rate LTE uplink transceiver","authors":"G. Indumathi, D. A. Joe","doi":"10.1109/ICGHPC.2013.6533926","DOIUrl":"https://doi.org/10.1109/ICGHPC.2013.6533926","url":null,"abstract":"The Third Generation Partnership Project (3GPP) provides the Long Term Evolution (LTE) standards for the fourth generation (4G) wireless communication systems. Single Carrier Frequency Division Multiple Access (SC-FDMA) and Orthogonal Division Multiple Access (OFDMA) are the two major techniques used in LTE. The main drawback of OFDMA over SC-FDMA is its high peak to average power ratio (PAPR). Hence OFDMA is used in the downlink of the fourth generation (4G) wireless communication systems for its high spectral efficiency and high PAPR. SC-FDMA is used in the uplink of the fourth generation (4G) wireless communication systems since it is more power efficient. The main objective of this paper is to design optimum physical layer architecture of a high data rate LTE uplink transceiver using SC-FDMA multiple access scheme with error correction mechanism using Low dense parity check codes (LDPC) to provide lesser Bit Error Rate (BER) and avoiding packet loss by Interleaving. The optimum physical layer architecture for the fourth generation (4G) wireless communication systems is chosen by comparing the LDPC coded SC-FDMA with the LDPC coded OFDMA. The chosen architecture must be more power efficient and support high data rates, which is the main prerequisite for the mobile user.","PeriodicalId":119498,"journal":{"name":"2013 International Conference on Green High Performance Computing (ICGHPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125573518","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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