Quality of service analysis and resource allocation scheme for Long-Term Evolution network

2013 ◽  
Vol 27 (12) ◽  
pp. 3805-3821 ◽  
Author(s):  
Farag Sallabi ◽  
Khaled Shuaib
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Long Term Evolution ◽  
Allocation Scheme ◽  
Term Evolution ◽  
Resource Allocation Scheme ◽  
Long Term Evolution Network

scholarly journals Quality of Service (QoS) Optimization in Mobile Broadband Using Cloud-Based Content Delivery Network

2020 ◽  
pp. 683-697
Author(s):  
Folasade Ayankoya ◽  
Olubukola Ajayi ◽  
Blaise Ohwo
Keyword(s):  
Quality Of Service ◽  
Network Models ◽  
Content Delivery ◽  
Long Term Evolution ◽  
Content Delivery Network ◽  
Mobile Broadband ◽  
Term Evolution ◽  
Delivery Network

Mobile broadband utilizing Long-Term Evolution (LTE) has advanced the field of data transmission; with networks capable of providing broadband speeds to mobile broadband users. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, but due to the rapid growth and utilization of network links and network services, certain issues begin to rise, such as the issue of poor Quality of Service (QoS) perceived by mobile users. Data network quality of service degrades over time when network cannot keep up with the growing demand for the network resources. The research reviewed various existing content delivery network models in order to understand the overall architecture and operations. An optimized model was developed and integrated into the existing Long-Term Evolution network models. The model was evaluated using the Network Simulator (NS-3) and Quality of Service (QoS) metrics, such as, Network Throughput, Round Trip Time, Bandwidth, Packet Loss, Jitter and Connection Ratio. The results obtained from the simulations showed that the optimized model performed better and more efficiently than previous solutions. And if implemented in Mobile Broadband, this will improve the Quality of Service, network throughput and overall performance of the network. This study concluded that cloud-based content delivery network provides a solution which would help improve the Quality of Service experience by Mobile Broadband subscribers. By actively redirecting network traffic to the nearest replica server on the network edge; thus, increasing efficiency and throughput.

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