Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI:10.1109/ICCSCE.2016.7893563

A. Idris, Azrinawati Samaon, Mohd Syarhan Idris

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引用次数: 4

Abstract

Finding the optimization of power allocation of subcarrier is always a challenge in MIMO-OFDMA schemes in order to maximize the capacity of the system. Resources allocation is process how set of network is decide in wireless system. This research is to study restriction of proportional rate and total power among user in MIMO-OFDMA scheme and the power allocation and capacity of subcarrier in the scheme. The objectives are to suggest by using Greedy Power Allocation for capacity increment in MIMO-OFDMA system and to evaluate the system by Greedy Subcarrier Allocation. Simulation results show that the proposed algorithm can improve the capacity of the network compared with the waterfilling when using signal-to-noise ratio (SNR) with value 6dB. The proposed algorithm shows comparison between the noise to sub-channel ratio and power allocation in the midst of data sub-channel for 25, 75 and 100 users. It shows that there is no significant difference in power allocation of data subcarriers even if the number of users is increased.

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基于贪心算法的MIMO-OFDMA系统下行资源分配性能分析

为了使MIMO-OFDMA系统的容量最大化，如何优化子载波的功率分配一直是MIMO-OFDMA系统面临的难题。在无线系统中，资源分配是确定网络集的过程。本文主要研究MIMO-OFDMA方案中用户间比例速率和总功率的限制，以及MIMO-OFDMA方案中子载波的功率分配和容量。本文的研究目标是提出在MIMO-OFDMA系统中采用贪心功率分配来增加容量，并利用贪心子载波分配对系统进行评价。仿真结果表明，当信噪比为6dB时，该算法比充水算法能提高网络容量。给出了25、75和100用户数据子信道中间噪声与子信道比和功率分配的比较。结果表明，即使用户数增加，数据子载波的功率分配也没有显著差异。

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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2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)

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