Wireless Scheduling for Heterogeneous Services With Mixed Numerology in 5G Wireless Networks

被引：26

作者：

Nguyen, Ti Ti ^{[1
]}

Ha, Vu Nguyen ^{[2
]}

Le, Long Bao ^{[1
]}

机构：

[1] Univ Quebec, INRS EMT, Montreal, PQ H5A 1K6, Canada

[2] Ecole Polytech Montreal, Montreal, PQ H3T 1J4, Canada

来源：

IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 02期

关键词：

Partitioning algorithms; 5G mobile communication; Bandwidth; Wireless communication; Time-frequency analysis; Resource management; Scheduling; 5G NR; wireless scheduling; mixed numerology;

D O I：

10.1109/LCOMM.2019.2951375

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This letter studies the scheduling problem which determines how time-frequency resources of different numerologies can be allocated to support heterogeneous services in 5G wireless systems. Particularly, this problem aims at scheduling as many users as possible while meeting their required service delay and transmission data. To solve the underlying integer programming (IP) scheduling problem, we first transform it into an equivalent integer linear program (ILP) and then develop two algorithms, namely Resource Partitioning-based Algorithm (RPA) and Iterative Greedy Algorithm (IGA) to acquire efficient resource scheduling solutions. Numerical results show the desirable performance of the proposed algorithms with respect to the optimal solution and their complexity-performance tradeoffs.

引用

页码：410 / 413

页数：4

共 8 条

[1]

[Anonymous], 2019, 3GPPTS38211

[2]

Dahlman E., 2020, 5G NR The next Generation Wireless Access Technology

[3] Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures [J].