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QoS Aware Radio Resource Management in LTE Advanced

Show simple item record Ali, Alya Adil Elzein, Alzahra Mohammed Mustafa, Dalal Elhag Ali, Ola Omer Osman 2014-12-31T09:49:35Z 2014-12-31T09:49:35Z 2014-09-10
dc.identifier.citation Ali,Alya Adil.QoS Aware Radio Resource Management in LTE Advanced/Alya Adil Ali ...{etal};Fath Elrahman Ismael Khalifa.-Khartuom:Sudan University of Science and Technology, College of Engineering,2014.-70p.: ill ; 28cm.-Bachelors’Search en_US
dc.description Bachelors’Search en_US
dc.description.abstract In LTE advanced, there are so many services can be offered to the users; however, good schemes of resource management are needed. So, scheduling algorithms are used to provide proper QoS for multi-services and optimize the trade-off between QoS and resource efficiency. In a network when the number of users available is increase in high priority services here consequently the outage probability increase because the resource blocks available is limited. To solve this problem and manage the resource blocks using scheduling algorithms (priority, round robin, weight) also benefiting from the remaining resource block. A comparison has been conducted between the above mentioned algorithms in a number of performance metrics has been calculated using mathematical equation and by using MATLAB code retrieved a results. The outage probability of higher priority service of round robin and weight algorithm is greater than priority algorithm by 52% and 30%. In low priority service (video) the priority algorithms outage probability has a 2.7% increase over that of weight algorithm and 7.4% greater than round robin algorithm. One of other metrics that should be calculated is the delay of video. When it is calculating use priority algorithm its result is 22% greater than the result retrieved when using round robin, and 78.5% greater than the result retrieved when using weight algorithm. The result of the priority algorithm is greater than round robin result by 50% and the priority algorithms results are also greater than those of the weight algorithm by 80%. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Electronics Engineering en_US
dc.subject QoS Aware en_US
dc.subject LTE Advanced en_US
dc.subject Resource Management en_US
dc.title QoS Aware Radio Resource Management in LTE Advanced en_US
dc.type Thesis en_US

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