Pub Date : 2021-09-13DOI: 10.1109/africon51333.2021.9570912
Peter-Newman Messan, S. Krupinski, G. Vallicrosa, P. Ridao, F. Maurelli
Use of robotic infrastructures can significantly increase with remote access. This would open up the possibility to use costly equipment without the need to buy them, or to simply access those assets remotely when actual travel is not possible or recommended - for example in pandemic times. In this paper we present an analysis of several networking techniques which allow remote robotics operations, alongside with experimental results with distance ranging from hundreds of meters up to thousands of kilometers.
{"title":"Evaluation of computer networking methods for interaction with remote robotic systems","authors":"Peter-Newman Messan, S. Krupinski, G. Vallicrosa, P. Ridao, F. Maurelli","doi":"10.1109/africon51333.2021.9570912","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570912","url":null,"abstract":"Use of robotic infrastructures can significantly increase with remote access. This would open up the possibility to use costly equipment without the need to buy them, or to simply access those assets remotely when actual travel is not possible or recommended - for example in pandemic times. In this paper we present an analysis of several networking techniques which allow remote robotics operations, alongside with experimental results with distance ranging from hundreds of meters up to thousands of kilometers.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132408297","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570936
I. Oteyo, Angel Luis Scull Pupo, Jesse Zaman, S. Kimani, W. Meuter, E. G. Boix
Modern farming is experiencing increased adoption of mobile and cloud computing applications as efforts are being made to automate farming processes. In this context, the mobile and cloud computing applications, that we refer to as smart agriculture applications (SAAs), can be used in data collection that can be entered directly into the applications by end-users (i.e., farmers) or via sensors. Implementing SAAs is often done using text-based approaches that require advanced skills and experience in software programming. There are low-code development tools (LCDTs) that farmers with less programming experience can use to implement their own SAAs. The LCDTs offer different features and techniques for application development e.g., some employ form-based application specification while others use graphical drag-and-drop techniques. As such, the different LCDTs are best suited for different specific tasks. For instance, a farmer may need to implement an application that connects to sensors to receive data and generate timely notifications when set thresholds are exceeded. However, to the farmer, it can be difficult to know which kind of LCDTs to choose and what category of these tools are best suited for the task. In this paper, we contrast different LCDTs and show how to use DisCoPar to develop SAAs by non-expert programmers. As a contribution, this paper presents properties for LCDTs that can be beneficial to farmers and demonstrates how DisCoPar can be used in developing SAAs.
{"title":"Building Smart Agriculture Applications Using Low-Code Tools: The Case for DisCoPar","authors":"I. Oteyo, Angel Luis Scull Pupo, Jesse Zaman, S. Kimani, W. Meuter, E. G. Boix","doi":"10.1109/africon51333.2021.9570936","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570936","url":null,"abstract":"Modern farming is experiencing increased adoption of mobile and cloud computing applications as efforts are being made to automate farming processes. In this context, the mobile and cloud computing applications, that we refer to as smart agriculture applications (SAAs), can be used in data collection that can be entered directly into the applications by end-users (i.e., farmers) or via sensors. Implementing SAAs is often done using text-based approaches that require advanced skills and experience in software programming. There are low-code development tools (LCDTs) that farmers with less programming experience can use to implement their own SAAs. The LCDTs offer different features and techniques for application development e.g., some employ form-based application specification while others use graphical drag-and-drop techniques. As such, the different LCDTs are best suited for different specific tasks. For instance, a farmer may need to implement an application that connects to sensors to receive data and generate timely notifications when set thresholds are exceeded. However, to the farmer, it can be difficult to know which kind of LCDTs to choose and what category of these tools are best suited for the task. In this paper, we contrast different LCDTs and show how to use DisCoPar to develop SAAs by non-expert programmers. As a contribution, this paper presents properties for LCDTs that can be beneficial to farmers and demonstrates how DisCoPar can be used in developing SAAs.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130687664","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9571012
Roselyne Ayienda, R. Rimiru, W. Cheruiyot
Educational data mining (EDM) has become a very interesting field of study in machine learning (ML), since it has enabled searchers to mine knowledge from educational databases for improvement in students’ and instructors’ performance. The most challenging task in prediction is to identify which features and algorithms to select which will give satisfactory results. In this research, a hybrid algorithm of weighted voting classifier (WVC) in conjunction with 10-fold cross validation (10-CV) and five other machine learning algorithms that are support vector machine (SVM), multi-layer perceptron (MLP), logistic regression (LR), k-nearest neighbor (KNN) and naive bayes (NB) were used. We evaluated our proposed model on the student grade prediction dataset taken from kaggle. In this paper, the metrics that were measured included: accuracy, precision, recall, f1-score and area under the curve (AUC). An accuracy of 97.6% was achieved. The proposed model was able to identify 634 students out of 650 as (Fair, Good, and Excellent), therefore recommending the model to the school for student performance prediction since it will devise mechanisms to alleviate student dropout rates and improve their performance.
{"title":"Predicting Students Academic Performance using a Hybrid of Machine Learning Algorithms","authors":"Roselyne Ayienda, R. Rimiru, W. Cheruiyot","doi":"10.1109/africon51333.2021.9571012","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9571012","url":null,"abstract":"Educational data mining (EDM) has become a very interesting field of study in machine learning (ML), since it has enabled searchers to mine knowledge from educational databases for improvement in students’ and instructors’ performance. The most challenging task in prediction is to identify which features and algorithms to select which will give satisfactory results. In this research, a hybrid algorithm of weighted voting classifier (WVC) in conjunction with 10-fold cross validation (10-CV) and five other machine learning algorithms that are support vector machine (SVM), multi-layer perceptron (MLP), logistic regression (LR), k-nearest neighbor (KNN) and naive bayes (NB) were used. We evaluated our proposed model on the student grade prediction dataset taken from kaggle. In this paper, the metrics that were measured included: accuracy, precision, recall, f1-score and area under the curve (AUC). An accuracy of 97.6% was achieved. The proposed model was able to identify 634 students out of 650 as (Fair, Good, and Excellent), therefore recommending the model to the school for student performance prediction since it will devise mechanisms to alleviate student dropout rates and improve their performance.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126545769","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9571006
S. Shanmugasundaram, D. Chidambaram
With the advent of Fog Computing frameworks in the year 2015, local logical units were formed to enhance the performance of Cloud Computing applications. Security is one of the key parameters that is improvised due to the computations that are distributed. Through Fog Networking, it is envisioned that cloud and IoT applications tend to operate with reduced computational delays emphasizing on efficacy of the system. This paper examines the current advances in fog networked computers from the point of view of their structures, global attention and support. With the advancement of technology, the working of Fog based computations have been simplified where each computer's resources are distributed, and the resources are shared with every other node in the system. The major resources that are considered to be vital in the fog computing platform are the processing speed of data, memory and data upload. These are treated as distributed resources rather than as centralized resources and thus promoting efficiency for all the authorized users. This provision helps to perform on-demand services over the Internet and supports a wide variety of applications that requires huge data processing and heavy storage for data. One of the challenges due to this distributed platform that provides services on adhoc basis is to maintain sustainability. The main goal of this paper is that discuss a model that is at the conceptual level and directing it for further research.
{"title":"Attaining Sustainability over Fog Computing Architecture","authors":"S. Shanmugasundaram, D. Chidambaram","doi":"10.1109/africon51333.2021.9571006","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9571006","url":null,"abstract":"With the advent of Fog Computing frameworks in the year 2015, local logical units were formed to enhance the performance of Cloud Computing applications. Security is one of the key parameters that is improvised due to the computations that are distributed. Through Fog Networking, it is envisioned that cloud and IoT applications tend to operate with reduced computational delays emphasizing on efficacy of the system. This paper examines the current advances in fog networked computers from the point of view of their structures, global attention and support. With the advancement of technology, the working of Fog based computations have been simplified where each computer's resources are distributed, and the resources are shared with every other node in the system. The major resources that are considered to be vital in the fog computing platform are the processing speed of data, memory and data upload. These are treated as distributed resources rather than as centralized resources and thus promoting efficiency for all the authorized users. This provision helps to perform on-demand services over the Internet and supports a wide variety of applications that requires huge data processing and heavy storage for data. One of the challenges due to this distributed platform that provides services on adhoc basis is to maintain sustainability. The main goal of this paper is that discuss a model that is at the conceptual level and directing it for further research.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165415","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}
This paper overviews a designed Low-Cost Spectrum Monitoring (LCSM) node that is installed in universities around South Africa. LCSM node is an electronic device that automatically monitors the frequency spectrum and then communicates the results wirelessly to the spectrum sensing enabled Geo Location Spectrum Database. The node is equipped with Wi-Fi Access Point (AP), OpenVPN client, and Application Programmable Interface (API) that encapsulates data using JavaScript Object Notation (JSON) and for being controlled remotely. LCSM nodes are designed, tested, and assembled in the lab at the Council for Scientific and Industrial Research (CSIR) before the installations at the universities. LCSM nodes have the main components such as LimeSDR, RF Splitter combiner, HiKey970, enclosure, RF cables, and antennas. Sections in this paper will explain how the LCSM nodes operate and take measurements. The measurements were taken from Television band 470MHz – 694MHz.
{"title":"LCSM Node Based on Geo Location Spectrum Database for Cooperative Dynamic Spectrum Access","authors":"Mla Vilakazi, Nakampe Sebopetse, Oratile Khutsoane","doi":"10.1109/africon51333.2021.9570961","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570961","url":null,"abstract":"This paper overviews a designed Low-Cost Spectrum Monitoring (LCSM) node that is installed in universities around South Africa. LCSM node is an electronic device that automatically monitors the frequency spectrum and then communicates the results wirelessly to the spectrum sensing enabled Geo Location Spectrum Database. The node is equipped with Wi-Fi Access Point (AP), OpenVPN client, and Application Programmable Interface (API) that encapsulates data using JavaScript Object Notation (JSON) and for being controlled remotely. LCSM nodes are designed, tested, and assembled in the lab at the Council for Scientific and Industrial Research (CSIR) before the installations at the universities. LCSM nodes have the main components such as LimeSDR, RF Splitter combiner, HiKey970, enclosure, RF cables, and antennas. Sections in this paper will explain how the LCSM nodes operate and take measurements. The measurements were taken from Television band 470MHz – 694MHz.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201220","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570998
Aristotelis Charalampous, Andreas Papadopoulos, Christodoulos Efstathiades, K. Katzis
The uptake of urban city monitoring systems has been synonymous with the rise of Internet of Things (IoT) technologies since their conception. These systems are increasingly incorporated in a wide range of domains, such as disaster awareness, management, and prevention by contextualizing events. In this study, we have developed a platform capable of capturing and associating data from both social media and sensing devices, towards early discovery of disaster-related events by authorities and citizens alike. Establishing these points of association, which we dub as the ’Feedback Loop’, forms the basis of our research endeavors. In this paper, we present the architectural components put in place to realize this, at the hardware and software level, as well as the challenges we had to overcome in deploying these at scale within the Engomi Business Region of Nicosia, Cyprus. Pivotal to its final form involved the utilization of Big Data processing technologies to allow for flexibility of sensor deployment and high availability throughout its lifetime. Coupled with state-of-the-art Natural Language Processing (NLP) and anomaly detection algorithms, geared towards spatiotemporal sensor data and natural language processing, our eco-system features a holistic solution towards enhanced decision support.
{"title":"Technical and Social sensor aggregation for smart environment enhancement","authors":"Aristotelis Charalampous, Andreas Papadopoulos, Christodoulos Efstathiades, K. Katzis","doi":"10.1109/africon51333.2021.9570998","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570998","url":null,"abstract":"The uptake of urban city monitoring systems has been synonymous with the rise of Internet of Things (IoT) technologies since their conception. These systems are increasingly incorporated in a wide range of domains, such as disaster awareness, management, and prevention by contextualizing events. In this study, we have developed a platform capable of capturing and associating data from both social media and sensing devices, towards early discovery of disaster-related events by authorities and citizens alike. Establishing these points of association, which we dub as the ’Feedback Loop’, forms the basis of our research endeavors. In this paper, we present the architectural components put in place to realize this, at the hardware and software level, as well as the challenges we had to overcome in deploying these at scale within the Engomi Business Region of Nicosia, Cyprus. Pivotal to its final form involved the utilization of Big Data processing technologies to allow for flexibility of sensor deployment and high availability throughout its lifetime. Coupled with state-of-the-art Natural Language Processing (NLP) and anomaly detection algorithms, geared towards spatiotemporal sensor data and natural language processing, our eco-system features a holistic solution towards enhanced decision support.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116976822","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570919
Rambo Hilary, D. Machuve, S. Mirau
Gate pass management is a vital measure to keep records of people’s entrance and exit of company premises. Technological improvement steered gate pass management from paper-based logbooks to web-based systems that rely on the internet. Usually, a web-based system can be accessed through a computer browser or mobile browser. The technological evolution of smartphones lures many users in using mobile phones for access internet and web-based systems. The use of smart phone offers portability, flexibility, and a good user experience. Due to the small screen size and input method of smartphones, it’s challenging to use mobile phones to access web-based gate pass management systems. The development of mobile applications introduces a better user experience and easy access to gate pass users. The application provides added advantage in simplifying the whole process of gate pass management. Mobile phone portability and accessibility are utilized to ensure users can have access to gate pass management at any time and anywhere. Mobile application camera is an added feature utilized for scanning gate pass barcodes and taking pictures of gate pass users for more security records. Therefore, the enhancement of the gate pass management system brings an easy way for the user to manage the gate pass process through their smartphone phones.
{"title":"Mobile Application for Gate Pass Management System Enhancement","authors":"Rambo Hilary, D. Machuve, S. Mirau","doi":"10.1109/africon51333.2021.9570919","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570919","url":null,"abstract":"Gate pass management is a vital measure to keep records of people’s entrance and exit of company premises. Technological improvement steered gate pass management from paper-based logbooks to web-based systems that rely on the internet. Usually, a web-based system can be accessed through a computer browser or mobile browser. The technological evolution of smartphones lures many users in using mobile phones for access internet and web-based systems. The use of smart phone offers portability, flexibility, and a good user experience. Due to the small screen size and input method of smartphones, it’s challenging to use mobile phones to access web-based gate pass management systems. The development of mobile applications introduces a better user experience and easy access to gate pass users. The application provides added advantage in simplifying the whole process of gate pass management. Mobile phone portability and accessibility are utilized to ensure users can have access to gate pass management at any time and anywhere. Mobile application camera is an added feature utilized for scanning gate pass barcodes and taking pictures of gate pass users for more security records. Therefore, the enhancement of the gate pass management system brings an easy way for the user to manage the gate pass process through their smartphone phones.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114320562","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570853
A. Periola, A. Alonge, K. Ogudo
The continued use of mobile devices in future communication networks poses challenges to cognitive health. This can be seen in the occurrence of sensory overstimulation of mobile network subscribers. The occurrence of sensory overstimulation provides a drawback often used by the medical community to advocate against mobile phone usage. The research presented in this paper addresses this challenge via a three stage framework. The proposed framework aims to reduce the sensory overstimulation by spreading the cognition requirements associated with mobile device use over multiple sense agents (biological and non – biological). This is done to reduce the sensory load per sense agent. The proposed framework reduces the sensory load per sense agent. Analysis shows that reduction in the range (16.7 – 83.3)% on average is achieved.
{"title":"Reducing Sensory Overstimulation in UE Usage","authors":"A. Periola, A. Alonge, K. Ogudo","doi":"10.1109/africon51333.2021.9570853","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570853","url":null,"abstract":"The continued use of mobile devices in future communication networks poses challenges to cognitive health. This can be seen in the occurrence of sensory overstimulation of mobile network subscribers. The occurrence of sensory overstimulation provides a drawback often used by the medical community to advocate against mobile phone usage. The research presented in this paper addresses this challenge via a three stage framework. The proposed framework aims to reduce the sensory overstimulation by spreading the cognition requirements associated with mobile device use over multiple sense agents (biological and non – biological). This is done to reduce the sensory load per sense agent. The proposed framework reduces the sensory load per sense agent. Analysis shows that reduction in the range (16.7 – 83.3)% on average is achieved.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114092658","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9570975
O. Oyerinde
This paper focuses on addressing an issue related to the estimation of channels that are both time-varying and sparse in broadband wireless communication systems. To ensure coherent detection of a transmitted signal, there is a need for robust tracking and estimation of the sparse channel. An enhanced time-varying sparse channel estimator is proposed based on the exploitation of inherent temporal correlation in the channel. It is named adaptive step size iterative hard thresholding (ASS-IHT)- based time-varying, sparse channel estimator. The ASS-IHT-based estimator is documented in comparison with some other estimators. From the results obtained from the simulation performed, the proposed ASS-IHT-based estimator performs better than all the other estimators simulated in this paper. This unique performance can be attributed to (i) the effectiveness of the original algorithm, the iterative hard thresholding upon which the estimator is built, (ii) the exploitation of the sparse channel’s inherent temporal correlation, and (iii) the enhancing effects of the adaptive step size incorporated into the estimator. In terms of the comparative computational complexity costs, the proposed ASS-IHT-based time-varying estimator’s complexity cost is within the range of the complexity costs of other channel estimators simulated in this paper.
{"title":"Adaptive Step Size Iterative Hard Thresholding-based Time-Varying Sparse Channel Estimator","authors":"O. Oyerinde","doi":"10.1109/africon51333.2021.9570975","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9570975","url":null,"abstract":"This paper focuses on addressing an issue related to the estimation of channels that are both time-varying and sparse in broadband wireless communication systems. To ensure coherent detection of a transmitted signal, there is a need for robust tracking and estimation of the sparse channel. An enhanced time-varying sparse channel estimator is proposed based on the exploitation of inherent temporal correlation in the channel. It is named adaptive step size iterative hard thresholding (ASS-IHT)- based time-varying, sparse channel estimator. The ASS-IHT-based estimator is documented in comparison with some other estimators. From the results obtained from the simulation performed, the proposed ASS-IHT-based estimator performs better than all the other estimators simulated in this paper. This unique performance can be attributed to (i) the effectiveness of the original algorithm, the iterative hard thresholding upon which the estimator is built, (ii) the exploitation of the sparse channel’s inherent temporal correlation, and (iii) the enhancing effects of the adaptive step size incorporated into the estimator. In terms of the comparative computational complexity costs, the proposed ASS-IHT-based time-varying estimator’s complexity cost is within the range of the complexity costs of other channel estimators simulated in this paper.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129983043","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 : 2021-09-13DOI: 10.1109/africon51333.2021.9571013
P. Akuon
This paper proposes a way of conveying additional spatial information through timeslot sequences, which is referred to as symbol sequence modulation (SSM). It is the sequence of symbols in different timeslots that are used to convey information. This way, only a single antenna may be used to convey at least 4 bits in the spatial domain, within 3 timeslots. In addition, SSM has the ability to convey spatial information under non-fading conditions. Performance of the SSM system has been validated through comparisons of simulations and the analytical framework under various number of receive antennas in additive white Gaussian noise (AWGN) channels.
{"title":"BER Analysis of Symbol Sequence Modulation under non-fading AWGN Channels","authors":"P. Akuon","doi":"10.1109/africon51333.2021.9571013","DOIUrl":"https://doi.org/10.1109/africon51333.2021.9571013","url":null,"abstract":"This paper proposes a way of conveying additional spatial information through timeslot sequences, which is referred to as symbol sequence modulation (SSM). It is the sequence of symbols in different timeslots that are used to convey information. This way, only a single antenna may be used to convey at least 4 bits in the spatial domain, within 3 timeslots. In addition, SSM has the ability to convey spatial information under non-fading conditions. Performance of the SSM system has been validated through comparisons of simulations and the analytical framework under various number of receive antennas in additive white Gaussian noise (AWGN) channels.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148096","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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