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Improving fairness and energy efficiency in cloud radio access networks through resources scheduling and power control / Mostafa Mohamed Abdelaziz Mohamed Ali Alemam ; Supervised Mohamed Nafie , Tamer Elbatt , Amr A. Elsherif

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mostafa Mohamed Abdelaziz Mohamed Ali Alemam , 2018Description: 46 P. : charts ; 30cmOther title:
  • تحسين الإنصاف و كفاءة الطاقة فى الدخول للشبكات المركزية اللاسلكية من خلال تنظيم الموارد و التحكم فى الطاقة [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: In this work, we address the joint resources allocation and power control problem in cloud radio access networks (CRAN) with a focus on fairness between users and energy efficiency (EE). First, we proposed three algorithms to improve the fairness between users in CRAN. Simulation results show that the Minimum rate constrained algorithm reaches the optimal solution with complexity much less than the exhaustive search. However, the complexity of this algorithm is still high, so we proposed the other two heuristic algorithms, the weighted sum and the priorities algorithms. In the second part, we propose a multi-level algorithm to improve the EE in CRAN system. The EE solution includes a technique for switching small base stations (SBS) ON/OFF then solving optimization problem targets maximizing the EE for the down-selected BSs
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2018.Mo.I (Browse shelf(Opens below)) Not for loan 01010110077270000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2018.Mo.I (Browse shelf(Opens below)) 77270.CD Not for loan 01020110077270000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications

In this work, we address the joint resources allocation and power control problem in cloud radio access networks (CRAN) with a focus on fairness between users and energy efficiency (EE). First, we proposed three algorithms to improve the fairness between users in CRAN. Simulation results show that the Minimum rate constrained algorithm reaches the optimal solution with complexity much less than the exhaustive search. However, the complexity of this algorithm is still high, so we proposed the other two heuristic algorithms, the weighted sum and the priorities algorithms. In the second part, we propose a multi-level algorithm to improve the EE in CRAN system. The EE solution includes a technique for switching small base stations (SBS) ON/OFF then solving optimization problem targets maximizing the EE for the down-selected BSs

Issued also as CD

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