000			02323cam a2200349 a 4500
003			EG-GiCUC
005			20250223032216.0
008			190225s2018 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.08.M.Sc.2018.Mo.I
100	0		_aMostafa Mohamed Abdelaziz Mohamed Ali Alemam
245	1	0	_aImproving fairness and energy efficiency in cloud radio access networks through resources scheduling and power control / _cMostafa Mohamed Abdelaziz Mohamed Ali Alemam ; Supervised Mohamed Nafie , Tamer Elbatt , Amr A. Elsherif
246	1	5	_aتحسين الإنصاف و كفاءة الطاقة فى الدخول للشبكات المركزية اللاسلكية من خلال تنظيم الموارد و التحكم فى الطاقة
260			_aCairo : _bMostafa Mohamed Abdelaziz Mohamed Ali Alemam , _c2018
300			_a46 P. : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications
520			_aIn 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
530			_aIssued also as CD
653		4	_aCRAN
653		4	_aFairness
653		4	_aScheduling
700	0		_aAmr Ahmed Elsherif , _eSupervisor
700	0		_aMohamed Hamed Nafie , _eSupervisor
700	0		_aTamer Abdelmotlb Faried Elbatt , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c70491 _d70491