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一种基于加权效率干扰感知的D2D底层通信资源分配机制

A Resource Allocation Mechanism Based on Weighted Efficiency Interference-Aware for D2D Underlaid Communication.

作者信息

Li Jingzhao, Zhang Xiaoming, Feng Yuan, Li Kuan-Ching

机构信息

College of Electrical and Information Engineering, Anhui University of Science and Technology (AUST), Huainan 232000, China.

Department of Computer Science and Information Engineering, Providence University, Taichung 43301, Taiwan.

出版信息

Sensors (Basel). 2019 Jul 19;19(14):3194. doi: 10.3390/s19143194.

DOI:10.3390/s19143194
PMID:31331113
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679298/
Abstract

Device-to-device (D2D) communication is a promising technique for direct communication to enhance the performance of cellular networks. In order to improve the system throughput and utilization of spectrum resource, a resource allocation mechanism for D2D underlaid communication is proposed in this paper where D2D pairs reuse the resource blocks (RBs) of cellular uplink users, adopting a matching matrix to disclose the results of resource allocation. Details of the proposed resource allocation mechanism focused are listed as: the transmit power of D2D pairs are determined by themselves with the distributed power control method, and D2D pairs are assigned to different clusters that are the intended user sets of RBs, according to the threshold of the signal-to-interference-plus-noise ratio (SINR). The weighted efficiency interference-aware (WE-I-A) algorithm is proposed and applied subsequently to promote the system throughput by optimizing the matching of D2D pairs and RBs, where each D2D pair is weighted based on the SINR to compete for the priority of RBs fairly. Simulation results demonstrate that the proposed algorithm contributes to a good performance on the system throughput even if the uplink state is limited.

摘要

设备到设备(D2D)通信是一种用于直接通信以增强蜂窝网络性能的有前途的技术。为了提高系统吞吐量和频谱资源利用率,本文提出了一种D2D底层通信的资源分配机制,其中D2D对重用蜂窝上行链路用户的资源块(RB),采用匹配矩阵来揭示资源分配结果。所提出的重点资源分配机制的细节如下:D2D对的发射功率通过分布式功率控制方法自行确定,并且根据信号与干扰加噪声比(SINR)的阈值,将D2D对分配到不同的簇,这些簇是RB的目标用户集。随后提出并应用加权效率干扰感知(WE-I-A)算法,通过优化D2D对与RB的匹配来提高系统吞吐量,其中每个D2D对基于SINR进行加权,以公平地竞争RB的优先级。仿真结果表明,即使上行链路状态有限,所提出的算法也有助于在系统吞吐量方面取得良好性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/16d8744e7b65/sensors-19-03194-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/450d55e079d0/sensors-19-03194-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/701a09785eaf/sensors-19-03194-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/b974cbac8ead/sensors-19-03194-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/f1423c3abd00/sensors-19-03194-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/31a63afcae01/sensors-19-03194-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/b33a69307c81/sensors-19-03194-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/65301478533b/sensors-19-03194-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/5b04d32101e4/sensors-19-03194-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/16d8744e7b65/sensors-19-03194-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/450d55e079d0/sensors-19-03194-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/701a09785eaf/sensors-19-03194-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/b974cbac8ead/sensors-19-03194-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/f1423c3abd00/sensors-19-03194-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/31a63afcae01/sensors-19-03194-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/b33a69307c81/sensors-19-03194-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/65301478533b/sensors-19-03194-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/5b04d32101e4/sensors-19-03194-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a2d/6679298/16d8744e7b65/sensors-19-03194-g009.jpg

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