OFDMA系统中动态资源分配的Bat包算法

Q4 Business, Management and Accounting
Mohammad K. Ibrahim, H. AlSabbagh, A. Al-Omary, H. Al‐Rizzo
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引用次数: 0

摘要

正交频分多址(OFDMA)是最近无线系统(包括但不限于4G-LTE)采用的最流行的接入方案之一。因此,OFDMA的资源分配成为关键的研究课题之一,因为服务的容量和质量取决于对可用资源的优化利用。OFDMA系统的资源分配依赖于每个用户在不同操作场景和信道条件下的功率和子载波分配。在本文中,我们提出并实现了蝙蝠包算法(BPA)来寻找最优或接近最优的OFDMA系统的功率和子载波分配。该算法考虑了功率和子载波分配约束、信道和噪声分布、用户设备与基站之间的距离、用户优先级权重等因素。为了满足当前通信系统的标准规范,采用BPA算法在具体的操作场景下对四种情况进行了处理、仿真和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bat pack algorithm for dynamic resource allocation in OFDMA systems
Orthogonal frequency division multiple access (OFDMA) is one of the most popular access schemes adopted in recent wireless systems including, but not limited to, 4G-LTE. Consequently, OFDMA resource allocation raises as one of the key research topics since the capacity and quality of service depend on optimising the usage of the available resources. Resource allocation of OFDMA systems relies on power and subcarrier allocations of each user for different operational scenarios and channel conditions. In this paper, we propose and implement bat pack algorithm (BPA) to find the optimal, or near optimal, power and subcarrier allocations for OFDMA systems. The proposed algorithm considers power and subcarrier allocation constrains, channel and noise distributions, distance between user equipment and base station, user priority weight. Four cases are addressed, simulated, and analysed employing the BPA algorithm under specific operational scenarios to meet the standard specifications of current communication systems.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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