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Register a new userA Study of QoS in Long Term Evolution Networks "LTE"
دراسة جودة الخدمة في شبكات التطوير بعيد المدى "LTE"
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تعتبر تقنية التطوير بعيد المدى "LTE" من أحدث تقنيات الاتصالات التي تندرج ضمن تقنيات الجيل الرابع من الاتصالات الخلوية، و التي تدعم سرعات عالية و عرض حزمة كبير، بالإضافة لتقديمها إمكانيات للتعامل مع جودة الخدمة المرتبطة بأنواع محددة من البيانات، نتيجةً لذلك فإنها تحظى باهتمام واسع و كبير من الباحثين و المستخدمين. إن التحدي الأكبر الذي يواجه شبكات التطوير بعيد المدى "LTE" هو القدرة على ضمان جودة الخدمة لكل مستخدمي الشبكة طالما هذه الشبكات تخدّم كل من مستخدمي الصوت و البيانات بنفس الوقت، لذلك جاءت دراستنا لتبين أثر مجموعة من خوارزميات الجدولة على انتقال بيانات "TCP" و بيانات صوتية و فيديوية.
Long Term Evolution “LTE” is considered to be one of the most important and latest communication technologies falling under the fourth generation of cellular communications technology 4G. LTE supports high-speed and large bandwidth which makes it a great candidate to providing the potential to improve the Quality of Service "QoS" associated with specific types of data transfer. As a consequence, researchers have paid their attentions to this type of networks. In fact, it was a great challenge for researchers to achieve a good level of QoS for all users as the LTE provides Audio and Data transmission to users at the same time.
Artificial intelligence review:
Research summary
تتناول هذه الدراسة تقنية التطوير بعيد المدى (LTE) التي تعد من أحدث تقنيات الاتصالات ضمن الجيل الرابع. تهدف الدراسة إلى تحليل تأثير خوارزميات الجدولة المختلفة على جودة الخدمة (QoS) في شبكات LTE، خاصة فيما يتعلق بنقل بيانات TCP، الصوت والفيديو. تم استخدام محاكي الشبكات NS3 لإجراء التجارب وتحليل معايير جودة الخدمة مثل التأخير الزمني (Delay)، الإنتاجية (Throughput)، والإزاحة الزمنية بين الرزم (Jitter). أظهرت النتائج أن خوارزمية Round Robin تعطي أفضل أداء في بعض الحالات، بينما خوارزمية Channel and QoS Aware (CQA) تعطي أقل تأخير زمني. الدراسة تقدم توصيات لاختيار الخوارزمية الأنسب لكل نوع من البيانات.
Critical review
تعتبر هذه الدراسة خطوة مهمة نحو فهم تأثير خوارزميات الجدولة على جودة الخدمة في شبكات LTE. ومع ذلك، هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من المفيد تضمين تحليل أكثر تفصيلاً حول كيفية تأثير العوامل البيئية مثل الضوضاء والتداخل على أداء الخوارزميات. ثانياً، الدراسة تركز بشكل كبير على محاكي NS3، وكان من الممكن تعزيز النتائج باستخدام محاكيات أخرى مثل Opnet أو Omnet لتقديم رؤية أكثر شمولية. أخيراً، كان من الممكن تقديم توصيات أكثر وضوحاً حول كيفية تطبيق هذه الخوارزميات في بيئات حقيقية.
Questions related to the research
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ما هي الخوارزميات التي تم دراستها في هذه الورقة؟
تم دراسة أربع خوارزميات جدولة وهي: Round Robin، Priority Set، Channel and QoS Aware، وProportional Fair.
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ما هو المحاكي الذي تم استخدامه في الدراسة؟
تم استخدام محاكي الشبكات NS3 لإجراء التجارب وتحليل النتائج.
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ما هي معايير جودة الخدمة التي تم تحليلها في الدراسة؟
تم تحليل معايير التأخير الزمني (Delay)، الإنتاجية (Throughput)، والإزاحة الزمنية بين الرزم (Jitter).
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ما هي الخوارزمية التي أعطت أفضل أداء في نقل بيانات الصوت؟
خوارزمية Round Robin أعطت أفضل أداء في نقل بيانات الصوت.
References used
Shukla S , Khare V , Garg S, Sharma P, Comparative Study of 1G, 2G, 3G and 4G, Journal of Engineering, Computers & Applied Sciences (JEC&AS), V.2, No.4, P:55-63, 2013
Bhalla M, Bhalla A. , Generations of Mobile Wireless Technology, International Journal of Computer Applications,V.5, No.4,P:26-32, 2010
Yusof A, Kuokkwee W, Ee Mae A, Mohd A. , Performance Study of Channel-QoS Aware Scheduler in LTE Downlink Using NS3, The Seventh International Conference on Emerging Networks and Systems Intelligence,p:44-49, 2015
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