Low-Complexity Centralized Multi-Cell Radio Resource Allocation for 5G URLLC

被引：10
|
作者：
Karimi, Ali [1 ]
Pedersen, Klaus, I [1 ,2 ]
Mogensen, Preben [1 ,2 ]
机构：
[1] Aalborg Univ, Wireless Commun Networks WCN Sect, Dept Elect Syst, Aalborg, Denmark
[2] Nokia Bell Labs, Aalborg, Denmark
来源：
2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2020年
关键词：
5G New Radio; URLLC; Centralized scheduling; Radio resource allocation; Dynamic point selection; LINK ADAPTATION; LATENCY; COMMUNICATION; OPTIMIZATION;
D O I：
10.1109/wcnc45663.2020.9120469
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses the problem of downlink centralized multi-cell scheduling for ultra-reliable low-latency communications in a fifth generation New Radio (5G NR) system. We propose a low-complexity centralized packet scheduling algorithm to support quality of service requirements of URLLC services. Results from advanced 5G NR system-level simulations are presented to assess the performance of the proposed solution. It is shown that the centralized architecture significantly improves the URLLC latency. The proposed algorithm achieves gains of 99% and 90% URLLC latency reduction in comparison to distributed scheduling and spectral efficient dynamic point selection.
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页数：6
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