An Efficient Resource Allocation Algorithm for Heterogeneous Wireless Networks

Topside E. Mathonsi, T. M. Tshilongamulenzhe, B. E. Buthelezi
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引用次数: 4

Abstract

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.
异构无线网络中一种有效的资源分配算法
当今移动通信服务的渐进式适应性和移动电话行业的迅速发展引导了无线市场容量的显着发展。尽管无线接入技术不断进步,管理也随之增长。然而,在使用无线局域网(WLAN)/Wi-Fi、长tera演进(LTE)和第五代(5G)等现代蜂窝移动通信无线接入技术时,异构无线网络(HWNs)中无线网络资源分配和管理效率低下的问题仍然存在,需要解决。这一问题源于共享这些资源的用户数量庞大、无线信道的随机分布、无线频谱资源的稀缺性以及产生的业务的动态行为。因此,本文通过设计一种有效资源分配(ERA)算法来解决现有资源的低效分配和服务质量(QoS)的挑战。仿真结果表明,与其他已发表的研究成果相比,该模型在存在局限性和约束的情况下能够有效地满足目标。平均而言,本文提出的ERA算法、联合功率带宽分配(JPBA)算法和动态带宽分配(DBA)算法在100s时间间隔内的吞吐量性能分别为98.9%、85%和81%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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