Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648421
D. Bertolani, Vinícius Pacheco Bacheti, M. Sarcinelli-Filho
This work proposes a null space-based controller for a multi-articulated robot vehicle (MARV) in backward movements, capable of avoiding collision with static obstacles during navigation. This can be the case of a multi-trailer truck moving backwards or even a tractor vehicle pushing passive trailers in agricultural applications. These articulated vehicles should also avoid possible collisions between the elements of the composition (situation known as jackknife), which would prevent the vehicle to continue in motion. In this context, the article discusses the application of null space-based control to a MARV, to manage the conflicting tasks of following a path and avoid obstacles surrounding it. The MARV modeling and the proposed controller are presented. Results obtained running simulations considering a MARV composed of a unicycle mobile robot pushing two trailers validate the approach adopted to guide the MARV navigation when there are obstacles nearby or on the path being followed.
{"title":"Controlling a MARV in Backward Movements with Null Space-based Collision Avoidance","authors":"D. Bertolani, Vinícius Pacheco Bacheti, M. Sarcinelli-Filho","doi":"10.1109/RPIC53795.2021.9648421","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648421","url":null,"abstract":"This work proposes a null space-based controller for a multi-articulated robot vehicle (MARV) in backward movements, capable of avoiding collision with static obstacles during navigation. This can be the case of a multi-trailer truck moving backwards or even a tractor vehicle pushing passive trailers in agricultural applications. These articulated vehicles should also avoid possible collisions between the elements of the composition (situation known as jackknife), which would prevent the vehicle to continue in motion. In this context, the article discusses the application of null space-based control to a MARV, to manage the conflicting tasks of following a path and avoid obstacles surrounding it. The MARV modeling and the proposed controller are presented. Results obtained running simulations considering a MARV composed of a unicycle mobile robot pushing two trailers validate the approach adopted to guide the MARV navigation when there are obstacles nearby or on the path being followed.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648432
M. P. Cipolletti, C. Delrieux, G. Perillo
Unlike rivers, tidal-paths present different drainage configurations within their complex distribution. The determinations of their features is the first step towards modeling their evolution. In this work, a methodology is presented for automatic morphometric extraction and characterization of tidal-paths over high resolution satellite images (IKONOS, 1 m resolution). The algorithm accurately computes the total length of the structure. In addition, it identifies and characterizes each branch by super-resolution. Then, the drainage paths without loops are classified defining the order in which they flood and ebb by effect of the tides. The method was tested on two tidal-paths with very different features: a rectangular or trellis drainage, and a dendritic one.
{"title":"Automatic Determination, Feature-extraction, and Classification of Tidal-courses through Remote-sensing Images: Preliminary Studies","authors":"M. P. Cipolletti, C. Delrieux, G. Perillo","doi":"10.1109/RPIC53795.2021.9648432","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648432","url":null,"abstract":"Unlike rivers, tidal-paths present different drainage configurations within their complex distribution. The determinations of their features is the first step towards modeling their evolution. In this work, a methodology is presented for automatic morphometric extraction and characterization of tidal-paths over high resolution satellite images (IKONOS, 1 m resolution). The algorithm accurately computes the total length of the structure. In addition, it identifies and characterizes each branch by super-resolution. Then, the drainage paths without loops are classified defining the order in which they flood and ebb by effect of the tides. The method was tested on two tidal-paths with very different features: a rectangular or trellis drainage, and a dendritic one.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131703467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648518
Diana Carolina Fonnegra Mora, Elisabet Walker, V. Venturini
Floods cause large losses for society. The frequency of these events has been increasing in recent decades in different regions of the world as a consequence of the global climate change. In Argentina, Santa Fe city is vulnerable to the flooding of two major rivers, i.e. the Paraná and the Salado-Juramento. For this reason, this paper aims to develop an online monitoring system for the metropolitan area of Santa Fe, in order to improve the response to a water risk. For this purpose, satellite information and the programming interface available on the Google Earth Engine (GEE) platform, were used here. The following indicators were evaluated to monitoring water excess: the normalized difference vegetation index (NDVI), the water ratio index (WRI), the modified normalized difference water index (MNDWI) and the radar signal thresholding technique of the Sentinel 1 mission. The spatial-temporal behaviour of the indicators was analysed for the period 2016-2021, including the 2016 Paraná River flood, to determine the monitoring capacity of the indicators studied. The results presented suggest that the proposed set of optical indices and the thresholding of the Sentinel 1 radar signal allow monitoring the evolution of flooded zones in the area of influence of the city of Santa Fe in near-real time.
{"title":"Flood monitoring in Santa Fe using the Google Earth Engine platform","authors":"Diana Carolina Fonnegra Mora, Elisabet Walker, V. Venturini","doi":"10.1109/RPIC53795.2021.9648518","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648518","url":null,"abstract":"Floods cause large losses for society. The frequency of these events has been increasing in recent decades in different regions of the world as a consequence of the global climate change. In Argentina, Santa Fe city is vulnerable to the flooding of two major rivers, i.e. the Paraná and the Salado-Juramento. For this reason, this paper aims to develop an online monitoring system for the metropolitan area of Santa Fe, in order to improve the response to a water risk. For this purpose, satellite information and the programming interface available on the Google Earth Engine (GEE) platform, were used here. The following indicators were evaluated to monitoring water excess: the normalized difference vegetation index (NDVI), the water ratio index (WRI), the modified normalized difference water index (MNDWI) and the radar signal thresholding technique of the Sentinel 1 mission. The spatial-temporal behaviour of the indicators was analysed for the period 2016-2021, including the 2016 Paraná River flood, to determine the monitoring capacity of the indicators studied. The results presented suggest that the proposed set of optical indices and the thresholding of the Sentinel 1 radar signal allow monitoring the evolution of flooded zones in the area of influence of the city of Santa Fe in near-real time.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132898088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648498
G. Sanchez, M. Murillo, Jesús E. Benavidez, Nestor N. Deniz, L. Giovanini
Skid-steer vehicles are one of the most popular configuration of autonomous ground vehicles (AGVs). Their mechanical simplicity provides researchers and developers with an easy to build vehicle that can perform complicated tasks either in outdoor or indoor scenarios. However, the process of building an AGV usually requires to spend a lot of time solving problems that are already solved. This work focuses on the process required to make a working AGV –the Hibachi– compatible with Robot Operating System (ROS). We mainly describe and explain the tasks of developing the required software and device drivers to implement ros_control on the existing hardware, allowing easier sensor integration and providing a standarized testbed for AGV research.
{"title":"Hibachi: A ROS compatible skid-steer vehicle","authors":"G. Sanchez, M. Murillo, Jesús E. Benavidez, Nestor N. Deniz, L. Giovanini","doi":"10.1109/RPIC53795.2021.9648498","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648498","url":null,"abstract":"Skid-steer vehicles are one of the most popular configuration of autonomous ground vehicles (AGVs). Their mechanical simplicity provides researchers and developers with an easy to build vehicle that can perform complicated tasks either in outdoor or indoor scenarios. However, the process of building an AGV usually requires to spend a lot of time solving problems that are already solved. This work focuses on the process required to make a working AGV –the Hibachi– compatible with Robot Operating System (ROS). We mainly describe and explain the tasks of developing the required software and device drivers to implement ros_control on the existing hardware, allowing easier sensor integration and providing a standarized testbed for AGV research.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134064617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648471
J. Argañaraz, L. Bellis
In 2020, the mountains of Córdoba, in central Argentina, registered the worse fire season of the last 31 years. To assess the effects of fire on the flora and soil surface, we integrated field and remote sensing (RS) data to propose a local burn severity classification, which was later used to map and quantify the areas affected with different levels of severity. Also, this local classification was then compared with other three classifications developed in other ecosystems. Field estimations were based on the GeoCBI index and RS data was represented by dNBR, derived from Sentinel 2 images. The model relating GeoCBI and dNBR explained 87 % of data variability. All fires showed heterogeneous levels of burn severity within their boundaries. Overall, from the 280,853 ha burnt in large fires, most area was affected with moderate (48.5 %), followed by low (27.6 %) and high (23.9 %) burn severity. Shrublands and grasslands were affected with moderate to low severity, while forests had moderate to high burn severity, reinforcing the idea that fires represent a threat to forest conservation. The comparison between the local and other severity classifications showed underestimation of burn severity in two cases, while the other provided similar maps and statistics. Nevertheless, the biological and ecological meaning of these categories should not be extrapolated. These results demonstrated the importance of developing local burn severity classifications and the need for testing the suitability of foreign burn severity classifications when they are going to be applied in a different ecosystem than the one where they were proposed.
{"title":"Evaluation of Burn Severity for the Fires of 2020 in the Mountains of Córdoba : Integration of Field and Remote Sensing Data","authors":"J. Argañaraz, L. Bellis","doi":"10.1109/RPIC53795.2021.9648471","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648471","url":null,"abstract":"In 2020, the mountains of Córdoba, in central Argentina, registered the worse fire season of the last 31 years. To assess the effects of fire on the flora and soil surface, we integrated field and remote sensing (RS) data to propose a local burn severity classification, which was later used to map and quantify the areas affected with different levels of severity. Also, this local classification was then compared with other three classifications developed in other ecosystems. Field estimations were based on the GeoCBI index and RS data was represented by dNBR, derived from Sentinel 2 images. The model relating GeoCBI and dNBR explained 87 % of data variability. All fires showed heterogeneous levels of burn severity within their boundaries. Overall, from the 280,853 ha burnt in large fires, most area was affected with moderate (48.5 %), followed by low (27.6 %) and high (23.9 %) burn severity. Shrublands and grasslands were affected with moderate to low severity, while forests had moderate to high burn severity, reinforcing the idea that fires represent a threat to forest conservation. The comparison between the local and other severity classifications showed underestimation of burn severity in two cases, while the other provided similar maps and statistics. Nevertheless, the biological and ecological meaning of these categories should not be extrapolated. These results demonstrated the importance of developing local burn severity classifications and the need for testing the suitability of foreign burn severity classifications when they are going to be applied in a different ecosystem than the one where they were proposed.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124197874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648522
L. E. Venghi, F. Aguilera, P. M. de la Barrera, C. D. de Angelo
This work presents the experimental validation of a current sensors fault tolerant control system (FTCS) for induction motor drives. This FTCS has the ability to diagnose single and multiple current sensor faults and to perform a control loop reconfiguration in order to keep the drive running in the event of faults. Operation is verified using a variable speed drive with a 0.75 kW squirrel cage induction motor controlled by a field oriented vectorial strategy implemented in a Texas Instruments DSP TMS320F28335.
{"title":"Current-sensors fault tolerant control system for electric drives: experimental validation","authors":"L. E. Venghi, F. Aguilera, P. M. de la Barrera, C. D. de Angelo","doi":"10.1109/RPIC53795.2021.9648522","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648522","url":null,"abstract":"This work presents the experimental validation of a current sensors fault tolerant control system (FTCS) for induction motor drives. This FTCS has the ability to diagnose single and multiple current sensor faults and to perform a control loop reconfiguration in order to keep the drive running in the event of faults. Operation is verified using a variable speed drive with a 0.75 kW squirrel cage induction motor controlled by a field oriented vectorial strategy implemented in a Texas Instruments DSP TMS320F28335.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114805243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648494
María M. Hoffmann, Pilar García Gorostiaga, S. A. Rodríguez González
The current study outlines the design of a Kalman filter for tracking and trajectory reconstruction using 3D radar data. A brief discussion of the dynamical model of aircraft motion is presented, and an insight of the measurement model as well. The paper includes some reconstructed trajectories but also some assessments performed to the algorithm, showing how corrupted data affect the predicted trajectory.
{"title":"Aircraft Trajectory Determination with Three-dimensional Radar Data","authors":"María M. Hoffmann, Pilar García Gorostiaga, S. A. Rodríguez González","doi":"10.1109/RPIC53795.2021.9648494","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648494","url":null,"abstract":"The current study outlines the design of a Kalman filter for tracking and trajectory reconstruction using 3D radar data. A brief discussion of the dynamical model of aircraft motion is presented, and an insight of the measurement model as well. The paper includes some reconstructed trajectories but also some assessments performed to the algorithm, showing how corrupted data affect the predicted trajectory.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129302604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648425
A. Faramiñán, M. F. Degano, Facundo Carmona, Paula Olivera Rodriguez
An important issue for agricultural planning is to estimate evapotranspiration accurately due to its fundamental role in the sustainable use of water resources. In this sense, it is essential to have reliable and precise evapotranspiration measurements to improve models or products, mainly related to predicting droughts. The main objective of the present study is to evaluate the Support Vector Machine Regression’s (SVR) potential to estimate the actual evapotranspiration (ETa) through a NASA-Power dataset in the Pampean Region of Argentina. The results obtained were compared with ETa values (water balance), based on information from 12 agro-meteorological stations (1983 – 2012). After training and validating the SVR algorithm, we observed statistical mean errors of 0.39 ± 0.07 mm/d, 0.54 ± 0.09 mm/d, and 0.67 ± 0.07 for the MAE, RMSE, and R2, respectively. The results show the feasibility of applying machine learning algorithms for obtaining ETa values in agricultural plains without agro-meteorological data.
{"title":"Estimation of actual evapotranspiration using NASA-POWER data and Support Vector Machine","authors":"A. Faramiñán, M. F. Degano, Facundo Carmona, Paula Olivera Rodriguez","doi":"10.1109/RPIC53795.2021.9648425","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648425","url":null,"abstract":"An important issue for agricultural planning is to estimate evapotranspiration accurately due to its fundamental role in the sustainable use of water resources. In this sense, it is essential to have reliable and precise evapotranspiration measurements to improve models or products, mainly related to predicting droughts. The main objective of the present study is to evaluate the Support Vector Machine Regression’s (SVR) potential to estimate the actual evapotranspiration (ETa) through a NASA-Power dataset in the Pampean Region of Argentina. The results obtained were compared with ETa values (water balance), based on information from 12 agro-meteorological stations (1983 – 2012). After training and validating the SVR algorithm, we observed statistical mean errors of 0.39 ± 0.07 mm/d, 0.54 ± 0.09 mm/d, and 0.67 ± 0.07 for the MAE, RMSE, and R2, respectively. The results show the feasibility of applying machine learning algorithms for obtaining ETa values in agricultural plains without agro-meteorological data.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"207 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114018092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648418
Harrison Neves Marciano, Alexandre Santos Brandão, M. Sarcinelli-Filho
To control a formation of a ground robot and an aerial one based on the paradigm of virtual structures involves relating the variables that describe the formation, called formation variables, with the positions of the robots, called robot variables. This relationship generates what is called transformations from the formation space to the robots space and vice versa. An important issue that arises when such a formulation is used is that there may be relative positions between the vehicles that characterize singularities. The characterization of this formation based on spherical coordinates (distance and relative orientations) creates a singularity point when the aerial vehicle is above the ground vehicle, for example trying to land on it. This work considers exactly this situation, and proposes a solution in which there is no singularity, based on the use of unit quaternions. A description of the formation based on unit quaternions is presented and a suitable controller for such a formulation is proposed. Experimental results are also presented, using the proposed formulation and controller, which validate the proposal.
{"title":"Using Quaternions to Solve Singularity Problems for a UAV-UGV Formation","authors":"Harrison Neves Marciano, Alexandre Santos Brandão, M. Sarcinelli-Filho","doi":"10.1109/RPIC53795.2021.9648418","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648418","url":null,"abstract":"To control a formation of a ground robot and an aerial one based on the paradigm of virtual structures involves relating the variables that describe the formation, called formation variables, with the positions of the robots, called robot variables. This relationship generates what is called transformations from the formation space to the robots space and vice versa. An important issue that arises when such a formulation is used is that there may be relative positions between the vehicles that characterize singularities. The characterization of this formation based on spherical coordinates (distance and relative orientations) creates a singularity point when the aerial vehicle is above the ground vehicle, for example trying to land on it. This work considers exactly this situation, and proposes a solution in which there is no singularity, based on the use of unit quaternions. A description of the formation based on unit quaternions is presented and a suitable controller for such a formulation is proposed. Experimental results are also presented, using the proposed formulation and controller, which validate the proposal.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116517820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648442
Daniel L. Colón, Mariano E. Chicatun, F. Gregorio, J. Cousseau
This work investigates the effects of quantization on the energy efficiency of a Massive MIMO OFDM Uplink system. The case of quantization of the received signal with perfect CSI and quantized Channel is compared for different cases. It is numerically studied how the reduction of the number of bits affects the Bit Error Rate (BER), Achievable Rate (R) and Energy Efficiency (EE) as main performance factors. It is also analyzed how the quantization of channel information affects the performance. The analysis and numerical evaluation of the quantity of bits is carried out in order to achieve good performance rates.
{"title":"Evaluation of Energy Efficiency Massive MIMO OFDM Uplink Systems with Channel Quantization","authors":"Daniel L. Colón, Mariano E. Chicatun, F. Gregorio, J. Cousseau","doi":"10.1109/RPIC53795.2021.9648442","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648442","url":null,"abstract":"This work investigates the effects of quantization on the energy efficiency of a Massive MIMO OFDM Uplink system. The case of quantization of the received signal with perfect CSI and quantized Channel is compared for different cases. It is numerically studied how the reduction of the number of bits affects the Bit Error Rate (BER), Achievable Rate (R) and Energy Efficiency (EE) as main performance factors. It is also analyzed how the quantization of channel information affects the performance. The analysis and numerical evaluation of the quantity of bits is carried out in order to achieve good performance rates.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127926784","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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