A Novel Fusion Approach Bandwidth Allocation for OFDMA Systems: Application to New Generation Mobile Networks

M. O. Kabaou, N. Zoghlami, Jaouda Sghaier
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引用次数: 2

Abstract

In this paper we deals with radio resource allocation in New Generation Radio Mobile Networks (NGN) based on OFDMA (Orthogonal Frequency Division Multiple Access). The OFDMA technic is considered as a one of the most promising techniques in telecommunication systems that requiring a high quality of service (QoS) and a high network coverage. This will be serve to increase the degree of satisfaction of the network users and consequently to guarantee a better Quality of Experience (QoE). For these reasons, it is important to know how to manage radio resources (subcarriers and power) for each user to communicate with the network. Several radio resource management techniques exist. We cite a power and frequency management algorithms (BABS, MBABS, HBABS, ACG, RCG). The main objective of radio resource allocation algorithm is to maximize total cell and increase the satisfaction degree of users network. Our present research work is focused on the radio resource management approach based on a new fusion method. The main objetive of this approach is to propose a new algorithm that allows improve the quality of service in the network by optimizing a radio resources. Indeed, the maximization of the total flow of the cell is the main objective of our contribution. This new proposal algorithm, consist to maximize a total rate of cell with considering individual user throughput. The obtained simulation results of proposed algorithm, proves best performances in comparison with other algorithm such as MBABS (Modified Bandwidth Allocation Based on SNR) with the same degree of complexity.
OFDMA系统一种新的融合带宽分配方法:在新一代移动网络中的应用
本文研究了基于正交频分多址(OFDMA)的新一代无线移动网络(NGN)中的无线电资源分配问题。OFDMA技术被认为是对服务质量(QoS)和网络覆盖要求高的通信系统中最有前途的技术之一。这将有助于提高网络用户的满意度,从而保证更好的体验质量(QoE)。由于这些原因,了解如何管理每个用户与网络通信的无线电资源(子载波和电源)是很重要的。目前存在几种无线电资源管理技术。我们引用了功率和频率管理算法(BABS, MBABS, HBABS, ACG, RCG)。无线资源分配算法的主要目标是使总小区最大化,提高用户对网络的满意度。我们目前的研究重点是基于一种新的融合方法的无线电资源管理方法。该方法的主要目标是提出一种新的算法,通过优化无线资源来提高网络中的服务质量。的确,使细胞的总流量最大化是我们贡献的主要目标。该算法在考虑单个用户吞吐量的情况下,实现了小区总速率的最大化。仿真结果表明,与相同复杂度的MBABS (Modified Bandwidth Allocation Based on SNR)算法相比,该算法具有最佳性能。
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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