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تميز
دراسي و بحثي + جائزة تفوقية
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البحوث المنشورة
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البحث (1):
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فصل في
كتاب: Technology
for Smart Futures
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عنوان البحث:
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Measurement
and Classification of Smart Systems Data Traffic Over 5G Mobile Networks
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رابط إلى البحث:
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Click
here
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تاريخ النشر:
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06/09/2017
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موجز عن البحث:
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Machine-to-Machine
communication is rapidly growing and becoming a significant part of the
current 4G and future 5G mobile network data traffic, which is intended to
provide coverage support and lower costs for mobile network providers. The 5G
mobile network represents a promising technology to support the future of
Machine-to-Machine communications. In recent years, smart devices, such as
smartphones and traffic monitoring systems, have experienced exponential
growth over mobile networks with different radio resource usage. This has
caused massive challenges as a result of simultaneous access data traffic as
well as a large number of devices sending small-sized data. This chapter
proposes a novel data traffic aggregation and slicing model with algorithms in
5G uplink, based on classifying and measuring the data traffic to achieve
quality of service for smart systems. Moreover, 5G radio resources are
efficiently shared by several smart devices in a relay node by aggregating
incoming data traffic based on quality of service.
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المؤتمرات العلمية:
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المؤتمر (1):
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عنوان المؤتمر:
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DeSE2016 (9th International Conference on Developments in
E-Systems Engineering)
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تاريخ الإنعقاد:
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31/08/2016
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مكان
الإنعقاد:
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Liverpool,
UK
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طبيعة المشاركة:
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Paper
presentation
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عنوان المشاركة:
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Data
Traffic Model in Machine to Machine Communications over 5G Network Slicing
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ملخص المشاركة:
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The
recent advancements in cellular communication domain have resulted in the
emergence of Machine-to-Machine applications, in support of the wide range
and coverage provision, low costs, and high mobility. 5G network standards
represent a promising technology to support the future of Machine-to-Machine
data traffic. In recent years, Human-Type-Communication traffic has seen
exponential growth over cellular networks, which resulted in increasing the
capacity and higher data rates. These networks are expected to face
challenges such as explosion of the data traffic due to the future of smart
devices data traffic with various Quality of Service requirements. This paper
proposes a novel data traffic aggregation model and algorithm along with a
new 5G network slicing based on classification and measuring the data traffic
to satisfy Quality of Service for smart systems in a smart city environment.
In our proposal, 5G radio resources are efficiently utilized as the smallest
unit of a physical resource block in a relay node by aggregating the data
traffic of several Machine-to-Machine devices as separate slices based on
Quality of Service for each application. OPNET is used to assess the
performance of the proposed model. The simulated 5G data traffic classes
include file transfer protocol, voice over IP, and video users.
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الرابط:
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1.
http://dese.org.uk/wp content/uploads/Programme_DeSE2016.pdf
2.
http://ieeexplore.ieee.org/document/7930654/
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المؤتمر (2):
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عنوان المؤتمر:
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DeSE2016 (9th International Conference on Developments in
E-Systems Engineering)
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تاريخ الإنعقاد:
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31/08/2016
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مكان
الإنعقاد:
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Liverpool,
UK
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طبيعة المشاركة:
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Paper
presentation
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عنوان المشاركة:
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Seamless
LTE-WiFi Architecture for Offloading the Overloaded LTE with Efficient UE
Authentication
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ملخص المشاركة:
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Nowadays
a cellular network suffers from a data traffic load in a metropolitan area
due to the enormous number of mobile devices connectivity. Therefore, the
users experience many issues because of a congestion and overload at an
access network such as low throughput, long latencies and network outages.
Current network operator’s solutions, such as capping data usage and
throttling a connection speed, have a negative effect on the user
satisfaction. Therefore, alternative solutions are needed such as Access
Point (AP)-based complementary network. In this paper, we use WiFi as a
complementary network to Long-Term Evolution (LTE). We propose a seamless
network architecture between LTE and WiFi networks, by utilizing the packet
gateway (P-GW) as an IP flow anchor between LTE and WiFi to maintain a
seamless connectivity. The proposed architecture has two new components,
Access Network Query Protocol-Data Server (ANQP-DS) and Access Zone Control
(AZC), to WiFi core network for managing UE authentication and balancing the
load of UEs between APs. Finally, we demonstrate and validate the
effectiveness of our proposed idea over other prior approaches based on
comparison with a current handover and Extensible Authentication
Protocol-Authentication and Key Agreement (EAP-AKA) mechanisms in the
literature through simulations.
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الرابط:
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http://ieeexplore.ieee.org/document/7930634/
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المؤتمر (3):
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عنوان المؤتمر:
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31st International Conference on Advanced Information
Networking and Applications Workshops (WAINA), 2017
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تاريخ الإنعقاد:
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27-29/03/2017
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مكان
الإنعقاد:
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Taipei,
Taiwan
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طبيعة المشاركة:
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Paper
presentation
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عنوان المشاركة:
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Comparison
Data Traffic Scheduling Techniques for Classifying QoS over 5G Mobile
Networks
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ملخص المشاركة:
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Enhancing
Quality of Service (QoS) in mobile networks is the key aim for mobile operators. Mobile
networks transport
several forms of data traffic for real-time applications(i.e., video
monitoring). These applications need to get the advantage of QoS adaptation. Numerous
scheduling techniques
are utilized at the router to assure the QoS of the mobile networks. Upcoming
5G mobile networks will be launched, hence, Human-Type-Communication (HTC)
and Machine-to-Machine (M2M) data traffic are expected to increase dramatically over
mobile networks, which results in growing the capacity and raising high data rates.
These networks are expected
to face challenges in cases of Radio Access Network(RAN) overload and
congestion due to the massive smart devices data traffic with various QoS
requirements. This paper presents a comparison for data traffic scheduling techniques,
which are Priority
Queuing (PQ), First-In-First-Out (FIFO) and Weighted Fair Queuing (WFQ). We consider to
select a suitable data traffic scheduling technique in terms of QoS provisioning and
helping5G network, also we propose models and algorithms for efficiently utilized the smallest unit
of a RAN in a relay node by
aggregating and slicing the data traffic of several M2M devices.
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الرابط:
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http://ieeexplore.ieee.org/document/7929728/
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جوائز التكريم:
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الجائزة (1):
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مسمى الجائزة:
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Best
Paper Award
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الجهة المانحة:
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IAB
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تاريخ الجائزة:
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7-9/03/2017
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مجال التكريم:
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Best
Paper Award for the paper :”traffic management in LTE-WiFi Slicing
Networks ” presented in the 20th innovations in clouds, internet and networks.
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