An Efficient Resource Allocation Algorithm for Heterogeneous Wireless Networks

• Published in: 2019 Open Innovations (OI) pp. 15 - 19
• Main Authors: Mathonsi, Topside E., Tshilongamulenzhe, Tshimangadzo M., Buthelezi, Bongisizwe E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: Efficient Resource Algorithm (ERA) Algorithm; Heterogeneous Wireless Networks (HWNs); Heuristic algorithms; Mathematical model; Mobile nodes; Quality of service; Quality of Service (QoS); Radio Access Technologies; Resource management; Wireless Network Resources; Wireless networks
• DOI: 10.1109/OI.2019.8908207

The progressive adaptability of today's mobile communication services and the prompt progressions in the mobile phones industry have steered to a remarkable development in the wireless market capacity. Notwithstanding the incessant advancement in the radio access technologies to manage with that growth. However, many remaining challenges, i.e., inefficient allocation and management of wireless network resources in Heterogeneous Wireless Networks (HWNs) when using the modern cellular mobile communications radio access technologies such as Wireless Local Area Network (WLAN)/Wi-Fi, Long-TERA Evolution (LTE) and Fifth Generation (5G)) still continue and needs to be addressed. This problem emanates from the enormous number of users sharing these resources, random distribution of wireless channels, scarceness of the wireless spectral resources, and the dynamic behavior of generated traffic. Therefore, this paper solves the identified problem by designing an Efficient Resource Allocation (ERA) algorithm to address the inefficient allocation of available resources versus quality of service (QoS) challenges. The obtained simulation results demonstrate the effectiveness of the proposed model to meet the objectives subject to limitations and constraints compared to other published works. On average, the proposed ERA algorithm, Joint Power Bandwidth Allocation (JPBA) algorithm, and Dynamic Bandwidth Allocation (DBA) algorithm have shown 98.9%, 85%, 81% throughput performance, respectively at a time interval of 100s.