University of Oulu

A. Karimi, K. I. Pedersen, N. H. Mahmood, G. Berardinelli and P. Mogensen, "On the Multiplexing of Data and Metadata for Ultra-Reliable Low-Latency Communications in 5G," in IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 12136-12147, Oct. 2020, doi: 10.1109/TVT.2020.3013391

On the multiplexing of data and metadata for ultra reliable low latency communications in 5G

Saved in:
Author: Karimi, Ali1; Pedersen, Klaus I.2,3; Mahmood, Nurul Huda4;
Organizations: 1Nokia Bell Labs, Munich 81541, Germany
2Nokia Bell labs, Aalborg 9220, Denmark
3WCN Section, Aalborg University, Aalborg 9220, Denmark
4Centre for Wireless Communications, University of Oulu, Oulu 90014, Finland
5Wireless Communication Networks (WCN) Section, Department of Electronic Systems, Aalborg University, Aalborg 9220, Denmark
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-09-02


This paper addresses the problem of downlink radio resource management for ultra-reliable low-latency communications (URLLC) in fifth generation (5G) systems. To support low-latency communications, we study performance of two multiplexing schemes namely in resource control signalling and joint encoding of data and metadata. In the former, the metadata and data are separately encoded and the metadata is sent at the beginning of transmission time prior to the data. Thus, it benefits from a low-complexity receiver structure to decode the data block. The latter takes advantages of transmitting a larger blocklength to enhance the reliability and improve spectrum efficiency by jointly encoding data and metadata as a single codeword. Dealing with small URLLC payloads, the overhead and error of sending metadata are not negligible and have a significant impact on the system performance in terms of resource usage the reliability of transmission. For each scheme, we derive expressions for the outage probability and resource usage by taking into account impacts of the finite blocklength payloads, overhead and error of sending metadata, and probability of error in uplink feedback channel. We propose a novel framework for joint data and metadata link adaptation to minimize the average number of allocated resources, while ensuring the stringent URLLC quality of service requirements. An optimization problem is formulated for each scheme that is mixed-integer nonconvex problem, difficult to solve in polynomial time. Solutions based on successive convex optimization are proposed. Numerical evaluations show that the proposed algorithms perform close to the optimal solution and demonstrate remarkable gains of up to 27% improvement in resource usage. Finally, we present sensitivity analysis of the results for various network parameters.

see all

Series: IEEE transactions on vehicular technology
ISSN: 0018-9545
ISSN-E: 1939-9359
ISSN-L: 0018-9545
Volume: 69
Issue: 10
Pages: 12136 - 12147
DOI: 10.1109/TVT.2020.3013391
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works