Efficient energy management in ultra-dense wireless networks by Wambi, Paul James

“…The proposed solution to the formulated optimization problem makes use of constraint relaxation to transform the NP-hard problem into a more solvable, convex and linear optimization one. …”
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Inter-cell interference coordination in 5G ultra-dense networks by Afolalu, Oladele Felix

“…Due to non-convex nature of the problem, the optimization is transformed into sub-optimal convex equivalence, while a low complexity Algorithm that yields optimal resource allocation is then designed to solve it. …”
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Distributed IP mobility management for hosts and networks by Ernest, Petro Pesha

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Design and optimisation of a low cost Cognitive Mesh Network by Nleya, Sindiso M

“…Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels.…”
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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Researchers also simplify the modeling of the dynamic elements of the problem, e.g., varying-speed processors, by using simple assumptions that the processor's speed doesn’t recover from degradation, which simplifies the problem but is not very realistic. …”
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Decision support for the production and distribution of electricity under load shedding by Rakotonirainy, Rosephine Georgina

“…In this research project we study two optimization problems related to load shedding. The first is how load shedding can be integrated into the unit commitment problem. …”
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Mitigation of control errors in quantum annealing by Dlamini, Thembelihle Rose

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Plastic bags waste management using the knapsack model case study: trashy bags, Accra by Gambrah, Patience Pokuaa

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Further, an advantage actor-critic (A2C) algorithm was developed and was used to solve the power scheduling problem. The two algorithms were tested using a 24-hour load, generation and utility grid tariff profiles under static optimization conditions. …”
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An optimum bank fund allocation plan from a loan portfolio: the case study of Atwima Kwanwoma Rural Bank by Sebil, Charles

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Optimum predictive modelling, holistic integration and analysis of energy sources mix for power generation and sustainability in developing economies : a case of the Nigerian power...

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QoS-based power management techniques for uplink W-CDMA cellular systems

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Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks by Nomeir, Mohamed

“…In addition, the GB scheduling model for eMBB traffic is adapted to fit our problem. We formulate the scheduling problem as a mixed-integer non-linear programming optimization problem. …”
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The formulation of an administrative structure for the management of False Bay. by Malan, Justin George Steytler

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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…The second part of this thesis aims to solve the problem associated with establishment of data centre and utilization of its resources. …”
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Efficient radio resource management in next generation wireless networks by Obayiuwana, Enoruwa

“…These demands have led to several challenging problems for wireless communication networks operators and designers. …”
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On the maximum degree chromatic number of a graph by Nieuwoudt, Isabelle

“…ENGLISH ABSTRACT: Determining the (classical) chromatic number of a graph (i.e. finding the smallest number of colours with which the vertices of a graph may be coloured so that no two adjacent vertices receive the same colour) is a well known combinatorial optimization problem and is widely encountered in scheduling problems. …”
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Load balancing using cell range expansion in LTE advanced heterogeneous networks by Nyembe, Wiseman Nkosingiphile

“…A price update mechanism based on a suboptimal solution of a network utility optimization problem is used to adapt the CRE bias. …”
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Multiobjective in-core fuel management optimisation for nuclear research reactors by Schlunz, Evert Barend

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Time series forecasting using neural networks without recurrent connections by Masunungure, Takudzwa Trevor

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