Interference-Aware Subcarrier Allocation for Massive Machine-Type Communication in 5G-Enabled Internet of Things

被引:5
|
作者
Hou, Wenjun [1 ]
Li, Song [1 ]
Sun, Yanjing [1 ,2 ]
Zhou, Jiasi [1 ]
Yun, Xiao [1 ]
Lu, Nannan [1 ]
机构
[1] China Univ Min & Technol, Sch Informat & Control Engn, Xuzhou 221000, Jiangsu, Peoples R China
[2] Xian Univ Sci & Technol, Sch Commun & Informat Engn, Xian 710054, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
5G; internet of things; mMTC; eMBB; RESOURCE-ALLOCATION;
D O I
10.3390/s19204530
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Massive machine-type communication (mMTC) is investigated as one of three typical scenes of the 5th-generation (5G) network. In this paper, we propose a 5G-enabled internet of things (IoT) in which some enhanced mobile broadband devices transmit video stream to a centralized controller and some mMTC devices exchange short packet data with adjacent devices via D2D communication to promote inter-device cooperation. Since massive MTC devices have data transmission requirements in 5G-enabled IoT with limited spectrum resources, the subcarrier allocation problem is investigated to maximize the connectivity of mMTC devices subject to the quality of service (QoS) requirement of enhanced Mobile Broadband (eMBB) devices and mMTC devices. To solve the formulated mixed-integer non-linear programming (MINLP) problem, which is NP-hard, an interference-aware subcarrier allocation algorithm for mMTC communication (IASA) is developed to maximize the number of active mMTC devices. Finally, the performance of the proposed algorithm is evaluated by simulation. Numerical results demonstrate that the proposed algorithm outperforms the three traditional benchmark methods, which significantly improves the utilization of the uplink spectrum. This indicates that the proposed IASA algorithm provides a better solution for IoT application.
引用
收藏
页数:13
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