scholarly journals Joint Access Selection and Bandwidth Allocation Algorithm Supporting User Requirements and Preferences in Heterogeneous Wireless Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 23914-23929 ◽  
Author(s):  
Gen Liang ◽  
Hewei Yu ◽  
Xiaoxue Guo ◽  
Yong Qin
Keyword(s):  
Wireless Networks ◽  
Bandwidth Allocation ◽  
Heterogeneous Wireless Networks ◽  
User Requirements ◽  
Allocation Algorithm ◽  
Access Selection ◽  
Bandwidth Allocation Algorithm

scholarly journals Enhanced Resource Allocation Algorithm for Heterogeneous Wireless Networks

2020 ◽  
Vol 24 (6) ◽  
pp. 763-773
Author(s):  
Topside E. Mathonsi ◽  
◽  
Tshimangadzo Mavin Tshilongamulenzhe ◽  
Bongisizwe Erasmus Buthelezi
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Packet Loss ◽  
Bandwidth Allocation ◽  
Heterogeneous Wireless Networks ◽  
Allocation Algorithm ◽  
End To End Delay ◽  
Radio Access ◽  
End To End ◽  
Bandwidth Allocation Algorithm

In heterogeneous wireless networks, service providers typically employ multiple radio access technologies to satisfy the requirements of quality of service (QoS) and improve the system performance. However, many challenges remain when using modern cellular mobile communications radio access technologies (e.g., wireless local area network, long-term evolution, and fifth generation), such as inefficient allocation and management of wireless network resources in heterogeneous wireless networks (HWNs). This problem is caused by the sharing of available resources by several users, random distribution of wireless channels, scarcity of wireless spectral resources, and dynamic behavior of generated traffic. Previously, resource allocation schemes have been proposed for HWNs. However, these schemes focus on resource allocation and management, whereas traffic class is not considered. Hence, these existing schemes significantly increase the end-to-end delay and packet loss, resulting in poor user QoS and network throughput in HWNs. Therefore, this study attempts to solve the identified problem by designing an enhanced resource allocation (ERA) algorithm to address the inefficient allocation of available resources vs. QoS challenges. Computer simulation was performed to evaluate the performance of the proposed ERA algorithm by comparing it with a joint power bandwidth allocation algorithm and a dynamic bandwidth allocation algorithm. On average, the proposed ERA algorithm demonstrates a 98.2% bandwidth allocation, 0.75 s end-to-end delay, 1.1% packet loss, and 98.9% improved throughput performance at a time interval of 100 s.

Sign in / Sign up

Export Citation Format

Share Document