arslan rasheed | COMSATS Institute of Information Technology (original) (raw)
Papers by arslan rasheed
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2018
In this contribution, we stress the importance of electric mobility in nowadays, since sales of E... more In this contribution, we stress the importance of electric mobility in nowadays, since sales of Electric Vehicles (EV) in the world have exceeded one million cars and current number of charging stations are rapidly growing. In this context, this paper introduces a novel smart connection called DriWe between the EV, the charging point and the environment, in order to improve and consolidate the development of smart grids vs the charging enhancement. In DriWe, performance of the monophasic environment is optimized, providing support to the owner of the EV in order to (i) always achieve maximum power, (ii) easily reach the charging facilities through a special application that can be installed in tablet, smartphone or pc, and identify the various charge points (iii) guarantee the absence of electric blackout, thanks to a combination and an interaction of three elements: smart device, an intelligent framework, namely a DriWe cloud server and charge point. A dynamic load control method, which is based on an API (Application Programming Interface) with a 10 s frame rate update, is applied. The program runs within the end-user smart phone, acquires data from DriWe cloud server, and allows to coordinate the recharge column by allowing the electric vehicle supply equipment's control and variation.
KSII Trans. Internet Inf. Syst., 2019
Modern applications such as augmented reality, connected vehicles, video streaming and gaming hav... more Modern applications such as augmented reality, connected vehicles, video streaming and gaming have stringent requirements on latency, bandwidth and computation resources. The explosion in data generation by mobile devices has further exacerbated the situation. Mobile Edge Computing (MEC) is a recent addition to the edge computing paradigm that amalgamates the cloud computing capabilities with cellular communications. The concept of MEC is to relocate the cloud capabilities to the edge of the network for yielding ultra-low latency, high computation, high bandwidth, low burden on the core network, enhanced quality of experience (QoE), and efficient resource utilization. In this paper, we provide a comprehensive overview on different traits of MEC including its use cases, architecture, computation offloading, security, economic aspects, research challenges, and potential future directions.
2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
Mobile Edge Computing (MEC) is a key enabler technology for fifth generation (5G) networks and ha... more Mobile Edge Computing (MEC) is a key enabler technology for fifth generation (5G) networks and has numerous use cases including, Device-to-Device (D2D) communications and computation offloading. In the near future, Internet of Vehicles (IoV) applications will require high data rate as well as extensive computational resources. In the connected vehicles, MEC has emerged as a strong candidate due to its proximity with the users, high throughput, better traffic monitoring & management, large coverage area, and context-awareness. For this purpose, a vehicular architecture requires to handle the computation under stringent latency conditions and meet high computational requirements. This paper proposes a hierarchical architecture for computation offloading for future vehicular network. The proposed architecture divides the computation offloading into multiple levels, resulting in efficient and cost-effective architecture. Furthermore, we propose to make decision for each task based on speed, computational requirement and latency. We assume that a controller as an application is installed within the MEC server to handle the computation handover efficiently without introducing complexity into the network.
2020 IEEE Globecom Workshops (GC Wkshps, 2020
Contemporary vehicular applications pose stringent latency and computation requirements for the a... more Contemporary vehicular applications pose stringent latency and computation requirements for the autonomous vehicles (AVs). These requirements are hard to be met by the vehicles due to limited computation capabilities. One of the significant solutions is computation offloading in which delay-sensitive and complex applications are handed over to the network. However, computation offloading at the core network incurs excessive architecture-induced delay which is inefficient for applications with tight latency, data rate and computation requirements. Mobile Edge Computing (MEC) is one of the key enablers for 5G that offers computation resources at the edge of the network resulting in ultra-low latency, powerful computation, larger coverage area and context-awareness. European Telecommunication Standards Institute (ETSI) foresees vehicular communication as a use case for MEC. Therefore, we propose application-aware hierarchical offloading scheme (HOS) for MEC-enabled distributed AV archi...
International Journal of Computer Networks and Communications Security
The spectrum utilization is a function of time and location. Hence, at different times and locati... more The spectrum utilization is a function of time and location. Hence, at different times and locations the utilization of spectrum might be different. The TV band 52-862 MHz has been the most crucial frequency band in Pakistan that remains unoccupied most of the time. The unoccupied frequency chunks in the TV band are termed as TV White Spaces (TVWS). In this paper, energy detection technique for spectrum sensing is implemented to locate the TVWS available in Pakistan and overall situation of the spectrum is analyzed. For this purpose, the whole frequency band is scanned with Universal Software Radio Peripheral (USRP2) hardware as well as spectrum analyzer to validate the results of the USRP2 and to investigate the potential of cognitive radios in Pakistan.
A novel printed hybrid antenna, formed by loop and planar inverted-F antenna (PIFA), is presented... more A novel printed hybrid antenna, formed by loop and planar inverted-F antenna (PIFA), is presented for the next generation handheld devices. The proposed antenna design is optimized to cover GSM 850, UMTS, LTE 2300 MHz, WiBro 2300 MHz, WLAN 2400 MHz, WiMAX 3500 MHz, and LTE bands 5, 19, 23, 34, 40 and 42, combined with good radiation performance over all matched frequency bands. The antenna has a compact structure and can easily be printed on a single-layer 0.8 mm thick FR4 substrate.
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2018
In this contribution, we stress the importance of electric mobility in nowadays, since sales of E... more In this contribution, we stress the importance of electric mobility in nowadays, since sales of Electric Vehicles (EV) in the world have exceeded one million cars and current number of charging stations are rapidly growing. In this context, this paper introduces a novel smart connection called DriWe between the EV, the charging point and the environment, in order to improve and consolidate the development of smart grids vs the charging enhancement. In DriWe, performance of the monophasic environment is optimized, providing support to the owner of the EV in order to (i) always achieve maximum power, (ii) easily reach the charging facilities through a special application that can be installed in tablet, smartphone or pc, and identify the various charge points (iii) guarantee the absence of electric blackout, thanks to a combination and an interaction of three elements: smart device, an intelligent framework, namely a DriWe cloud server and charge point. A dynamic load control method, which is based on an API (Application Programming Interface) with a 10 s frame rate update, is applied. The program runs within the end-user smart phone, acquires data from DriWe cloud server, and allows to coordinate the recharge column by allowing the electric vehicle supply equipment's control and variation.
KSII Trans. Internet Inf. Syst., 2019
Modern applications such as augmented reality, connected vehicles, video streaming and gaming hav... more Modern applications such as augmented reality, connected vehicles, video streaming and gaming have stringent requirements on latency, bandwidth and computation resources. The explosion in data generation by mobile devices has further exacerbated the situation. Mobile Edge Computing (MEC) is a recent addition to the edge computing paradigm that amalgamates the cloud computing capabilities with cellular communications. The concept of MEC is to relocate the cloud capabilities to the edge of the network for yielding ultra-low latency, high computation, high bandwidth, low burden on the core network, enhanced quality of experience (QoE), and efficient resource utilization. In this paper, we provide a comprehensive overview on different traits of MEC including its use cases, architecture, computation offloading, security, economic aspects, research challenges, and potential future directions.
2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
Mobile Edge Computing (MEC) is a key enabler technology for fifth generation (5G) networks and ha... more Mobile Edge Computing (MEC) is a key enabler technology for fifth generation (5G) networks and has numerous use cases including, Device-to-Device (D2D) communications and computation offloading. In the near future, Internet of Vehicles (IoV) applications will require high data rate as well as extensive computational resources. In the connected vehicles, MEC has emerged as a strong candidate due to its proximity with the users, high throughput, better traffic monitoring & management, large coverage area, and context-awareness. For this purpose, a vehicular architecture requires to handle the computation under stringent latency conditions and meet high computational requirements. This paper proposes a hierarchical architecture for computation offloading for future vehicular network. The proposed architecture divides the computation offloading into multiple levels, resulting in efficient and cost-effective architecture. Furthermore, we propose to make decision for each task based on speed, computational requirement and latency. We assume that a controller as an application is installed within the MEC server to handle the computation handover efficiently without introducing complexity into the network.
2020 IEEE Globecom Workshops (GC Wkshps, 2020
Contemporary vehicular applications pose stringent latency and computation requirements for the a... more Contemporary vehicular applications pose stringent latency and computation requirements for the autonomous vehicles (AVs). These requirements are hard to be met by the vehicles due to limited computation capabilities. One of the significant solutions is computation offloading in which delay-sensitive and complex applications are handed over to the network. However, computation offloading at the core network incurs excessive architecture-induced delay which is inefficient for applications with tight latency, data rate and computation requirements. Mobile Edge Computing (MEC) is one of the key enablers for 5G that offers computation resources at the edge of the network resulting in ultra-low latency, powerful computation, larger coverage area and context-awareness. European Telecommunication Standards Institute (ETSI) foresees vehicular communication as a use case for MEC. Therefore, we propose application-aware hierarchical offloading scheme (HOS) for MEC-enabled distributed AV archi...
International Journal of Computer Networks and Communications Security
The spectrum utilization is a function of time and location. Hence, at different times and locati... more The spectrum utilization is a function of time and location. Hence, at different times and locations the utilization of spectrum might be different. The TV band 52-862 MHz has been the most crucial frequency band in Pakistan that remains unoccupied most of the time. The unoccupied frequency chunks in the TV band are termed as TV White Spaces (TVWS). In this paper, energy detection technique for spectrum sensing is implemented to locate the TVWS available in Pakistan and overall situation of the spectrum is analyzed. For this purpose, the whole frequency band is scanned with Universal Software Radio Peripheral (USRP2) hardware as well as spectrum analyzer to validate the results of the USRP2 and to investigate the potential of cognitive radios in Pakistan.
A novel printed hybrid antenna, formed by loop and planar inverted-F antenna (PIFA), is presented... more A novel printed hybrid antenna, formed by loop and planar inverted-F antenna (PIFA), is presented for the next generation handheld devices. The proposed antenna design is optimized to cover GSM 850, UMTS, LTE 2300 MHz, WiBro 2300 MHz, WLAN 2400 MHz, WiMAX 3500 MHz, and LTE bands 5, 19, 23, 34, 40 and 42, combined with good radiation performance over all matched frequency bands. The antenna has a compact structure and can easily be printed on a single-layer 0.8 mm thick FR4 substrate.