D2D通信底层网络的联合贪婪分配算法

V. Prabowo, Brian Pamukti, Arfianto Fahmi, N. Adriansyah, N. Andini
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引用次数: 9

摘要

第五代(5G)网络在蜂窝网络上引入D2D通信。在D2D系统中,设备之间可以不使用eNB直接通信,但范围有限。这种D2D网络可以叠加在LTE蜂窝网络上,与现有的蜂窝用户使用相同的资源。D2D用户和现有蜂窝用户之间会产生干扰。由于用户之间的干扰,资源分配过程成为维护系统性能的重要方面。本文提出了一种基于贪婪的分配算法——联合贪婪算法,将资源分配给D2D用户进行通信。Join-greedy算法包括两个阶段的排序,为每个D2D用户寻找最佳资源。第一个排序过程是为每个D2D用户找到最佳资源,第二个排序过程是从第一个处理结果中找到最佳解决方案。仿真结果表明,该算法可将频谱效率提高0.309 bps/Hz,将能量效率提高12.67 kbps/Watt。该算法还能保持D2D对之间的公平性。Join greedy算法的平均公平性指数为79.05%。这证明了该算法与其他算法相比具有更好的系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint-Greedy Allocation Algorithm on D2D Communication Underlaying Networks
The fifth generation (5G) network introduce D2D communications on cellular network. On D2D system, the device can communicate each other directly without using the eNB, with limited range. This D2D network can be superimposed on LTE cellular network and will use same resources with the existing cellular users. The interference will happen between D2D users and the existing cellular users. To maintain the system performances, the resources allocation process become the important aspect, because of the interference among users. This work proposed joint-greedy algorithm, a greedy based allocation algorithm to assign the resources to D2D users for communications process. Join-greedy algorithm consists of two phase of sorting to find the best resource for each D2D users. The first sorting process is to find the best resource for each D2D user, and the second sorting process is to find the best solution from first process result. From the simulation process, the proposed algorithm can improve the spectral efficiency up to 0.309 bps/Hz, and improve the energy efficiency by 12.67 kbps/Watt. The proposed algorithm also can maintain the fairness among D2D pair. Join greedy algorithm has the average fairness index 79.05%. This prove that the proposed algorithm has better system performances compared with the other algorithm.
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