Fifth generation (5G) wireless networks are currently being developed to handle wide variety of use cases. In order to support these cases, new types of requirements other than throughput enhancement have been introduced. One such requirement is to reduce the latency down to a millisecond (ms) level in ultra reliable and low latency communications (URLL-C). In case of uplink transmission, supporting this stringent latency requirement is quite challenging and problematic since the scheduling procedure is a time-consuming and complicated handshaking process. In time division duplexing (TDD) systems, satisfying the latency requirement is far more difficult since the mobile device cannot transmit the data when the subframe is assigned for the downlink. In this paper, we propose a new type of uplink transmission scheme for TDD-based URLLC. Key idea of the proposed scheme is to transmit the latency sensitive data immediately after performing the ultra-short one-way signaling from the basestation to the mobile device. To reduce the processing time of grant signal, we present a fast signaling mechanism, referred to as channel-aware sparse signaling (CASS). Numerical results confirm that the proposed uplink transmission scheme is very effective in TDD-based URLLC systems.
|Title of host publication
|2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
|Institute of Electrical and Electronics Engineers Inc.
|Published - 2018 Jul 2
|88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 2018 Aug 27 → 2018 Aug 30
|IEEE Vehicular Technology Conference
|88th IEEE Vehicular Technology Conference, VTC-Fall 2018
|18/8/27 → 18/8/30
Bibliographical noteFunding Information:
This work was supported by ’The Cross-Ministry Giga KOREA Project’ grant funded by the Korea government(MSIT) (No.GK17P0501, Development of Ultra Low-Latency Radio Access Technologies for 5G URLLC Service) Fig. 1. Overall description of channel-aware sparse signaling (mapping and detecting) based on compressed sensing.
© 2018 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics