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Multi-Numerology Based Resource Allocation for Reducing Average Scheduling Latencies for 5G NR Wireless Networks

Authors:
Zubair Shaik
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
M.Sc. Tanmoy Bag
M.Sc. Sharva Garg
Typ:
Conferences
Status:
accepted
Date of publication
08/15/2019
Abstract:
The introduction of 5G New Radio (NR) promises flexibility and adaptability to cater a wide variety of services. One of the key ingredients for achieving such requirements is the employment of multiple numerologies. This versatility brings along with it some complexity as well in terms of resource allocation using multiplexed non-orthogonal numerologies. Another key enabler is the concept of Shortened TTI/ Mini-slots for addressing low latency applications. In this paper, we propose a dynamic resource allocation scheme to reduce the average scheduling latencies in a network using multiple numerologies in conjunction with mini-slots. A system level simulation has been conducted to compare different nominated combinations of numerologies (with mini-slots) and service requests and it has been observed that with a minor compromise of minimum achievable scheduling latency for high priority requests, a significant reduction of average scheduling latency is attained considering all types of diverse service requests with different priorities.
Bibtex
External link
https://ieeexplore.ieee.org/document/8802009