Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646591
W. Saad, Abdulaziz S. Alsayyari
Undoubtedly, utilizing smart detection systems of loose animals crossing highways has become a necessity to reduce the reportedly high number of animal-vehicle accidents worldwide, where some of such accidents are fatal in their nature. In the Kingdom of Saudi Arabia, for example, loose camels are the main cause of animal-vehicle accidents, which commonly cause deaths and injuries with lifelong consequences. Loose animals vary from one country to another. For instance, animal-vehicle accidents often involve deer and moose in the USA and cows and elephants in India. Mostly, such accidents occur at nights and in foggy and dusty weathers. Therefore, the mitigation of such phenomenon has become a hot research topic in recent years and as a result variety of detection systems have been proposed. In this paper, a survey of animal-vehicle approaches are presented and compared. Moreover, a number of popular proposed systems are investigated and a study of their advantages and disadvantages are presented. Finally, the challenges for designing a reliable animal detection system are summarized and a proposed model for animal-vehicle collision avoidance system for camels is presented.
{"title":"Loose Animal-Vehicle Accidents Mitigation: Vision and Challenges","authors":"W. Saad, Abdulaziz S. Alsayyari","doi":"10.1109/ITCE.2019.8646591","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646591","url":null,"abstract":"Undoubtedly, utilizing smart detection systems of loose animals crossing highways has become a necessity to reduce the reportedly high number of animal-vehicle accidents worldwide, where some of such accidents are fatal in their nature. In the Kingdom of Saudi Arabia, for example, loose camels are the main cause of animal-vehicle accidents, which commonly cause deaths and injuries with lifelong consequences. Loose animals vary from one country to another. For instance, animal-vehicle accidents often involve deer and moose in the USA and cows and elephants in India. Mostly, such accidents occur at nights and in foggy and dusty weathers. Therefore, the mitigation of such phenomenon has become a hot research topic in recent years and as a result variety of detection systems have been proposed. In this paper, a survey of animal-vehicle approaches are presented and compared. Moreover, a number of popular proposed systems are investigated and a study of their advantages and disadvantages are presented. Finally, the challenges for designing a reliable animal detection system are summarized and a proposed model for animal-vehicle collision avoidance system for camels is presented.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127690155","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646329
A. Shaheen, R. El-Sehiemy
Transmission Network Expansion Planning (TNEP) is an important issue in electrical power systems. It is a mixed integer, non-linear, non-convex optimization problem which aims to optimal selection of the routs, types, and number of the added circuits to face the expected future predicted load forecasting at minimum costs. This paper proposes the application of Multi-Verse Optimizer (MVO) for solving the TNEP with security constraints. MVO has various merits of being simple structure, having adaptive control parameter, and operating with high ability to escape the local optima stagnation. The MVO has been developed and applied to solve the TNEP problem for two realistic transmission Egyptian networks of West Delta System (WDS) and 500 kV of Extra High Voltage System (EHVS). The predicted load forecasting up to 2030 is considered based on the adaptive neuro-fuzzy inference system (ANFIS). The simulation results for the two systems show the capability of the proposed MVO to solve efficiently the TNEP problem. The MVO superiority is proven to produce economic planning and secure transmission routes.
{"title":"Application of multi-verse optimizer for transmission network expansion planning in power systems","authors":"A. Shaheen, R. El-Sehiemy","doi":"10.1109/ITCE.2019.8646329","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646329","url":null,"abstract":"Transmission Network Expansion Planning (TNEP) is an important issue in electrical power systems. It is a mixed integer, non-linear, non-convex optimization problem which aims to optimal selection of the routs, types, and number of the added circuits to face the expected future predicted load forecasting at minimum costs. This paper proposes the application of Multi-Verse Optimizer (MVO) for solving the TNEP with security constraints. MVO has various merits of being simple structure, having adaptive control parameter, and operating with high ability to escape the local optima stagnation. The MVO has been developed and applied to solve the TNEP problem for two realistic transmission Egyptian networks of West Delta System (WDS) and 500 kV of Extra High Voltage System (EHVS). The predicted load forecasting up to 2030 is considered based on the adaptive neuro-fuzzy inference system (ANFIS). The simulation results for the two systems show the capability of the proposed MVO to solve efficiently the TNEP problem. The MVO superiority is proven to produce economic planning and secure transmission routes.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363458","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646577
M. Mashaly, P. Kuehn
Cloud Computing technology is becoming a challenging technology requirement for many enterprises and individuals nowadays. Due to its numerous advantages offered to its clients such as elasticity, scalability and cost-effectiveness the cloud computing industry has grown much since it emerged and is foreseen to continue this growth through the coming years. This growth requires cloud providers to expand the size and number of their data centers to accommodate the needs of their users. As the number of data centers increases, efficient scheduling algorithms are required in order to manage the scheduling of arrivals to a data center where it can be served optimally. This paper discusses two proposed scheduling algorithms for two distributed cloud data centers, one for cases of real-time requests with bounded delays and another for data centers having diverse geographical locations. An OMNeT++ simulation model is introduced as well as a test-bed implementation in order to test the proposed algorithms and their effectiveness under general assumptions and more realistic conditions.
{"title":"Evaluation of Scheduling Techniques in Cloud Data Centers: Simulation and Experimentation","authors":"M. Mashaly, P. Kuehn","doi":"10.1109/ITCE.2019.8646577","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646577","url":null,"abstract":"Cloud Computing technology is becoming a challenging technology requirement for many enterprises and individuals nowadays. Due to its numerous advantages offered to its clients such as elasticity, scalability and cost-effectiveness the cloud computing industry has grown much since it emerged and is foreseen to continue this growth through the coming years. This growth requires cloud providers to expand the size and number of their data centers to accommodate the needs of their users. As the number of data centers increases, efficient scheduling algorithms are required in order to manage the scheduling of arrivals to a data center where it can be served optimally. This paper discusses two proposed scheduling algorithms for two distributed cloud data centers, one for cases of real-time requests with bounded delays and another for data centers having diverse geographical locations. An OMNeT++ simulation model is introduced as well as a test-bed implementation in order to test the proposed algorithms and their effectiveness under general assumptions and more realistic conditions.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"984 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123087237","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646480
Ghada H. Alsuhli, Ahmed K. F. Khattab
In this paper, we propose an Internet of Things (IoT) layered architecture that supports heating, ventilation and air-conditioning (HVAC), lighting and security systems in a building, depending on continuous environmental parameters monitoring and efficient occupancy detection. The proposed architecture is composed of five layers: end devices, network connectivity, fog processing, cloud processing and security and privacy layers. This architecture is used to build a prototype of an office ambience monitoring and control system. In the developed prototype, the information about the indoor ambience is collected in real-time in the end devices layer and sent using the network connectivity layer to the fog. This information is aggregated and preprocessed in the fog before being passed to the cloud where it is finally stored and analyzed. According to the analysis results, proper decisions are made and sent back to the related actuators to set the office ambience accordingly or to fire an alarm. Actuators remote control and system configuration are also provided through a web-based interface. The developed system prototype is deployed and tested to prove that the system satisfies its intended purposes.
{"title":"A Fog-based IoT Platform for Smart Buildings","authors":"Ghada H. Alsuhli, Ahmed K. F. Khattab","doi":"10.1109/ITCE.2019.8646480","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646480","url":null,"abstract":"In this paper, we propose an Internet of Things (IoT) layered architecture that supports heating, ventilation and air-conditioning (HVAC), lighting and security systems in a building, depending on continuous environmental parameters monitoring and efficient occupancy detection. The proposed architecture is composed of five layers: end devices, network connectivity, fog processing, cloud processing and security and privacy layers. This architecture is used to build a prototype of an office ambience monitoring and control system. In the developed prototype, the information about the indoor ambience is collected in real-time in the end devices layer and sent using the network connectivity layer to the fog. This information is aggregated and preprocessed in the fog before being passed to the cloud where it is finally stored and analyzed. According to the analysis results, proper decisions are made and sent back to the related actuators to set the office ambience accordingly or to fire an alarm. Actuators remote control and system configuration are also provided through a web-based interface. The developed system prototype is deployed and tested to prove that the system satisfies its intended purposes.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907423","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646418
E. Abdeen, M. Gaafar, M. Orabi
In this paper a three-phase single stage buck-boost inverter is presented. The proposed inverter consists of a DC-AC inverter that merges DC-DC converter for boosting the input voltage and DC-AC inverter for interfacing the DC input and AC grid. The proposed paper based on the three-phase full bridge inverter, where only one inductor and switch have been added to step up the input voltage. The proposed inverter is featured by some advantages such as a reduction in the number of semiconductor power switches, and control implementation simplicity. The operation of the inverter is studied and analyzed in this paper. The three-phase inverter is simulated using MATLAB software package-tool to verify the performance of the topology.
{"title":"Performance Analysis for Single-Stage Buck-Boost Inverter","authors":"E. Abdeen, M. Gaafar, M. Orabi","doi":"10.1109/ITCE.2019.8646418","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646418","url":null,"abstract":"In this paper a three-phase single stage buck-boost inverter is presented. The proposed inverter consists of a DC-AC inverter that merges DC-DC converter for boosting the input voltage and DC-AC inverter for interfacing the DC input and AC grid. The proposed paper based on the three-phase full bridge inverter, where only one inductor and switch have been added to step up the input voltage. The proposed inverter is featured by some advantages such as a reduction in the number of semiconductor power switches, and control implementation simplicity. The operation of the inverter is studied and analyzed in this paper. The three-phase inverter is simulated using MATLAB software package-tool to verify the performance of the topology.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124929896","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646423
N. Eltresy, D. Elsheakh, E. Abdallah, H. Elhennawy
This paper presents a broad band fully transparent antenna for radio frequency energy harvesting. This antenna is used for powering internet of things low power devices especially in the smart museums. The proposed antenna has a high transparency that reached to 90%. So that it can be fixed on museums glass windows, buildings or cars without any effect on the eye vision and decoration. Moreover, it is the first time to fabricate a fully transparent antenna in Egypt. So, the proposed antenna has simple structure just to master the fabrication technology. Glass is used as a substrate and the indium tin oxide is used as a transparent conductor. The proposed antenna has low cost material and fabrication technology. The same proposed antenna is printed on opaque FR4 substrate which is used for comparison. The chosen opaque substrate has thickness and dielectric constant close to the transparent glass substrate.
{"title":"RF Energy Harvesting Using Transparent Antenna for IoT Application","authors":"N. Eltresy, D. Elsheakh, E. Abdallah, H. Elhennawy","doi":"10.1109/ITCE.2019.8646423","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646423","url":null,"abstract":"This paper presents a broad band fully transparent antenna for radio frequency energy harvesting. This antenna is used for powering internet of things low power devices especially in the smart museums. The proposed antenna has a high transparency that reached to 90%. So that it can be fixed on museums glass windows, buildings or cars without any effect on the eye vision and decoration. Moreover, it is the first time to fabricate a fully transparent antenna in Egypt. So, the proposed antenna has simple structure just to master the fabrication technology. Glass is used as a substrate and the indium tin oxide is used as a transparent conductor. The proposed antenna has low cost material and fabrication technology. The same proposed antenna is printed on opaque FR4 substrate which is used for comparison. The chosen opaque substrate has thickness and dielectric constant close to the transparent glass substrate.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121737000","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646410
H. Hesham, Yasmine Ayman, M. Ashour
In a wireless communication network, achieving the required signal strength with an efficient use of resources is a huge challenge especially in indoor environments. In an indoor environment, the number of deployed antennas, their location, and beam width affects the signal strength. Directional antennas are used to improve indoor planning in terms of signal strength and power leakage. The paper has two aims, first, to compare the Omnidirectional and directional antennas under certain performance metrics for a given number and position of Omni/Directional antenna. The aim is to analyze the importance of the type of antenna deployed versus the optimization of placement and number of the antenna. Secondly, this paper further focuses on finding an initial solution for the deployment of antennas location number and beam width in order to meet user’s indoor coverage requirements in DAS environment. A proposed algorithm based on the next best choice of antenna activation based on coverage forms an initial solution of the number and position of antennas in an indoor building. Results showed that the directivity might not always outperform the omnidirectional antennas, as the position and number of Omni antennas if chosen efficiently may be better. This highlights the idea that the optimization of the antenna location and number is more important than the type of antenna used.
{"title":"Investigating antenna positioning, beam width and direction in indoor DAS systems to meet coverage","authors":"H. Hesham, Yasmine Ayman, M. Ashour","doi":"10.1109/ITCE.2019.8646410","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646410","url":null,"abstract":"In a wireless communication network, achieving the required signal strength with an efficient use of resources is a huge challenge especially in indoor environments. In an indoor environment, the number of deployed antennas, their location, and beam width affects the signal strength. Directional antennas are used to improve indoor planning in terms of signal strength and power leakage. The paper has two aims, first, to compare the Omnidirectional and directional antennas under certain performance metrics for a given number and position of Omni/Directional antenna. The aim is to analyze the importance of the type of antenna deployed versus the optimization of placement and number of the antenna. Secondly, this paper further focuses on finding an initial solution for the deployment of antennas location number and beam width in order to meet user’s indoor coverage requirements in DAS environment. A proposed algorithm based on the next best choice of antenna activation based on coverage forms an initial solution of the number and position of antennas in an indoor building. Results showed that the directivity might not always outperform the omnidirectional antennas, as the position and number of Omni antennas if chosen efficiently may be better. This highlights the idea that the optimization of the antenna location and number is more important than the type of antenna used.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122843689","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646510
Abdelrahman Yehia, H. Elhifnawy, M. Safy
Remote sensing (RS) satellites may provide much information about the land cover at different resolutions that have been utilized in many military and civil purposes. Multi-temporal images Change detection (CD) is one of the RS applications. Images Co-registration is an important step before the change detection process, and although they are geo-referenced to each other they may not have the same spatial resolution. So, prior to the multi-temporal analysis, images should be similar in pixel size. Using optical sensors with different characteristics and resolutions to obtain the same geographical area may cause effects in change detection results. In this paper; Image difference pixel-based change detection technique is proposed, and the effect of the image pixel size on change detection is studied. Two Images of the same area are taken from two different sensors; Worldview2 and Quickbird2 images with “2”m and “2.4”m pixel size are used respectively. The change detection results show that; for “2” m pixel size, the change detection is 0.15 % With regard to “1” m, the change detection is 0.06 % With regard to “2.4” m, and 0.05 % with regard to “4” m pixel size. On the other hand, the change detection results show that, for “2.4” m pixel size, the change detection is 0.09 % With regard to “1” m and 0.015 % With regard to “4” m pixel size.
{"title":"Effect of Different Spatial Resolutions of Multi-temporal Satellite Images Change Detection Application","authors":"Abdelrahman Yehia, H. Elhifnawy, M. Safy","doi":"10.1109/ITCE.2019.8646510","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646510","url":null,"abstract":"Remote sensing (RS) satellites may provide much information about the land cover at different resolutions that have been utilized in many military and civil purposes. Multi-temporal images Change detection (CD) is one of the RS applications. Images Co-registration is an important step before the change detection process, and although they are geo-referenced to each other they may not have the same spatial resolution. So, prior to the multi-temporal analysis, images should be similar in pixel size. Using optical sensors with different characteristics and resolutions to obtain the same geographical area may cause effects in change detection results. In this paper; Image difference pixel-based change detection technique is proposed, and the effect of the image pixel size on change detection is studied. Two Images of the same area are taken from two different sensors; Worldview2 and Quickbird2 images with “2”m and “2.4”m pixel size are used respectively. The change detection results show that; for “2” m pixel size, the change detection is 0.15 % With regard to “1” m, the change detection is 0.06 % With regard to “2.4” m, and 0.05 % with regard to “4” m pixel size. On the other hand, the change detection results show that, for “2.4” m pixel size, the change detection is 0.09 % With regard to “1” m and 0.015 % With regard to “4” m pixel size.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500075","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646613
H. Hesham, Rana Hesham, M. Ashour
Cloud Radio Access Networks (C-RAN) offer the means for adopting the coverage and the capacity according to the changing user densities and the associated change of required capacity. C-RAN decouples the provisioning of virtual Base Band Unit (BBU) from the physical transmission provided by the Remote Radio Head (RRH). This decoupling provides a similar decoupling between capacity and coverage. C-RAN allows the activation of the number of RRHs needed for coverage and the number of BBUs needed to satisfy the capacity need. The ability to connect multiple RRHs to the same BBU allows for enhancing coverage while achieving rate requirements using the least number of BBUs. The aim of this paper is to minimize the number of BBUs used to offer wireless coverage by providing techniques to split the coverage into the smallest number of RRH clusters. Each cluster is then connected to a single BBU. The paper investigates the use of three RRH clustering techniques in indoor 4G networks: a modified K-means based technique and two heuristic algorithms using numerical simulations. Results show that the K-means technique produced lower activated BBUs and the RRH clusters were tighter in space providing better user coverage per cluster.
{"title":"Clustering of Remote Radio Heads in C-RAN to minimize the number of Base-Band Units","authors":"H. Hesham, Rana Hesham, M. Ashour","doi":"10.1109/ITCE.2019.8646613","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646613","url":null,"abstract":"Cloud Radio Access Networks (C-RAN) offer the means for adopting the coverage and the capacity according to the changing user densities and the associated change of required capacity. C-RAN decouples the provisioning of virtual Base Band Unit (BBU) from the physical transmission provided by the Remote Radio Head (RRH). This decoupling provides a similar decoupling between capacity and coverage. C-RAN allows the activation of the number of RRHs needed for coverage and the number of BBUs needed to satisfy the capacity need. The ability to connect multiple RRHs to the same BBU allows for enhancing coverage while achieving rate requirements using the least number of BBUs. The aim of this paper is to minimize the number of BBUs used to offer wireless coverage by providing techniques to split the coverage into the smallest number of RRH clusters. Each cluster is then connected to a single BBU. The paper investigates the use of three RRH clustering techniques in indoor 4G networks: a modified K-means based technique and two heuristic algorithms using numerical simulations. Results show that the K-means technique produced lower activated BBUs and the RRH clusters were tighter in space providing better user coverage per cluster.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116524371","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646611
Ayman Gaber, M. Zaki, A. M. Mohamed, M. Beshara
Spectrum is the most scarce resources for any mobile operator, with the exponentially growing demand for data services that require higher speeds [1], operators have to utilize the available spectrum in the most efficient way to provide the best data experience for smartphone users whom are hungry for data services, yet keep an adequate performance for circuit switched voice service for the legacy technologies in WCDMA and GSM that are still serving customers with handsets that are not supporting LTE. The advancement in clustering techniques could allow operator to optimize their network parameters in a more efficient way, so they can achieve better spectrum utilization for the legacy technologies that will allow more spectrum refarming for LTE needs.In this paper, we propose a new approach for optimizing GSM power control algorithm to enhance GSM voice performance in operators with limited spectrum allocated to this technology. The new approach has been tried in real mobile network with positive results in terms of voice quality and dropped call rate. The approach could be extended to other radio network algorithms to better exploiting current network resources.
{"title":"Cellular Network Power Control Optimization Using Unsupervised Machine Learnings","authors":"Ayman Gaber, M. Zaki, A. M. Mohamed, M. Beshara","doi":"10.1109/ITCE.2019.8646611","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646611","url":null,"abstract":"Spectrum is the most scarce resources for any mobile operator, with the exponentially growing demand for data services that require higher speeds [1], operators have to utilize the available spectrum in the most efficient way to provide the best data experience for smartphone users whom are hungry for data services, yet keep an adequate performance for circuit switched voice service for the legacy technologies in WCDMA and GSM that are still serving customers with handsets that are not supporting LTE. The advancement in clustering techniques could allow operator to optimize their network parameters in a more efficient way, so they can achieve better spectrum utilization for the legacy technologies that will allow more spectrum refarming for LTE needs.In this paper, we propose a new approach for optimizing GSM power control algorithm to enhance GSM voice performance in operators with limited spectrum allocated to this technology. The new approach has been tried in real mobile network with positive results in terms of voice quality and dropped call rate. The approach could be extended to other radio network algorithms to better exploiting current network resources.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126836530","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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