NARA: Network Assisted Routing and Allocation Algorithm for D2D Communication in 5G Cellular Networks

被引：0

作者：

Bastos, Alex Vidigal ^{[1
,2
]}

da Silva, Cristiano Maciel ^{[2
]}

da Silva Jr, Diogenes Cecilio ^{[3
]}

机构：

[1] Univ Fed Minas Gerais, Elect Engn Grad Program, Belo Horizonte, MG, Brazil

[2] Fed Univ Sao Joao Rei UFSJ, Technol Dept, Sao Joao Del Rei, Brazil

[3] Fed Univ Minas Gerais UFMG, Dept Elect Engn, Belo Horizonte, MG, Brazil

来源：

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING | 2021年 / 21卷 / 04期

关键词：

5G networks; cellular networks; greedy algorithms; relay networks; resource management; routing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents the Network Assisted Routing and Allocation Algorithm (NARA), a routing and allocation algorithm for device-to-device (D2D) communication in 5G cellular architectures. NARA algorithm is a new routing and resource block allocation algorithm that aims at reducing the impact of interference and extends network coverage in D2D communications. We model the allocation of resource blocks as a Minimum Graph Coloring Problem. As baselines, we compare the proposed strategy to NAR-G, a previous version that uses a greedy allocation heuristic; MaxC/I, a reference heuristic for resource allocation; and LBS-AOMDV for routing. The results reveal that NARA reduces message loss in 47.4% when compared LBS-AOMDV, 39.87% to NAR-G, and 23.06% when compared to MaxC/I. As for allocation, NARA provides 23.05% more D2D flows than MaxC/I.

引用

页码：43 / 50

页数：8

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