University of Surrey

Test tubes in the lab Research in the ATI Dance Research

On URLLC Downlink Transmission Modes for MEC Task Offloading

Wang, Jinfei, Ma, Yi, Yi, Na and Tafazolli, Rahim (2020) On URLLC Downlink Transmission Modes for MEC Task Offloading In: IEEE Vehicular Technology Conference 2020, 25-28 May 2020, Antwerp, Belgium.

[img]
Preview
Text
Wang.J_VTC_S_2020_URLLC.pdf - Accepted version Manuscript

Download (386kB) | Preview

Abstract

Multi-access edge computing for mobile computingtask offloading is driving the extreme utilization of available degrees of freedom (DoF) for ultra-reliable low-latency downlink communications. The fundamental aim of this work is to find latency-constrained transmission protocols that can achieve a very-low outage probability (e.g. 0:001%). Our investigation is mainly based upon the Polyanskiy-Poor-Verd´u formula on the finite-length coded channel capacity, which is extended from the quasi-static fading channel to the frequency selective channel. Moreover, the use of a suitable duplexing mode is also critical to the downlink reliability. Specifically, time-division duplexing (TDD) outperforms frequency-division duplexing (FDD) in terms of the frequency diversity-gain. On the other hand, FDD takes the advantage of having more temporal DoF in the downlink, which can be exchanged into the spatial diversity-gain through the use of space-time coding. Numerical study is carried out to compare the reliability between FDD and TDD under various latency constraints.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Wang, Jinfeijinfei.wang@surrey.ac.uk
Ma, YiY.Ma@surrey.ac.uk
Yi, NaN.Yi@surrey.ac.uk
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 3 March 2020
Funders : UK 5G Innovation Centre, EU H2020 5G-DRIVE programme
Uncontrolled Keywords : Multi-access edge computing (MEC), task offloading, downlink, aggregate encoding, ultra-reliable low-latency communications (URLLC).
Depositing User : James Marshall
Date Deposited : 03 Mar 2020 11:34
Last Modified : 03 Mar 2020 11:34
URI: http://epubs.surrey.ac.uk/id/eprint/853858

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800