eprintid: 10079445
rev_number: 24
eprint_status: archive
userid: 608
dir: disk0/10/07/94/45
datestamp: 2019-08-08 15:47:14
lastmod: 2021-09-20 22:30:04
status_changed: 2019-11-22 11:24:48
type: article
metadata_visibility: show
creators_name: Kabir, MT
creators_name: Masouros, C
title: A Scalable Energy vs Latency Trade-off in Full Duplex Mobile Edge Computing Systems
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F43
divisions: F46
keywords: Full-duplex, MEC, multi-objective optimization,
offloading, energy, latency, interference suppression, constructive
interference, robust designs.
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: In this paper, we investigate the offloading energy
and latency trade-off in a multiuser full-duplex (FD) system. We
consider a multi-user FD system where a FD base station (BS),
equipped with a mobile-edge computing (MEC) server, carries
out data transmission in the downlink, while at the same time
receiving computational tasks from mobile devices in the uplink.
Our main aim is to study the trade-off between the offloading
energy and latency, which are known to be very important and
desirable system objectives for both the system operator and
users. In practice, there always exist a trade-off between these
two objectives. Towards this aim, we formulate two weighted
multi-objective optimization problems (MOOPs), one, where the
multi-user interference (MUI) is suppressed and the other, where
MUI is rather exploited. As a result, our proposed MOOPs allow
for a scalable tradeoff between the two objectives. To tackle
the non-convexity of the formulations, we design an iterative
algorithm through Lagrangian method. We also, address the
scenario of imperfect channel state information (CSI) at the FD
BS. For the imperfect CSI case, we apply convex relaxations and
transformation using the S-procedure to tackle the non-convexity
of the formulations. Simulation results show the effectiveness of
the proposed FD schemes compared with the existing baseline
half duplex schemes, and the superiority of MUI exploitation
over suppression.
date: 2019-08
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: https://doi.org/10.1109/tcomm.2019.2915833
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1679795
doi: 10.1109/tcomm.2019.2915833
lyricists_name: Kabir, Mahmoud
lyricists_name: Masouros, Christos
lyricists_id: KMAHM13
lyricists_id: CMASO14
actors_name: Kabir, Mahmoud
actors_id: KMAHM13
actors_role: owner
full_text_status: public
publication: IEEE Transactions on Communications
volume: 67
number: 8
pagerange: 5848 -5861
citation:        Kabir, MT;    Masouros, C;      (2019)    A Scalable Energy vs Latency Trade-off in Full Duplex Mobile Edge Computing Systems.                   IEEE Transactions on Communications , 67  (8)   5848 -5861.    10.1109/tcomm.2019.2915833 <https://doi.org/10.1109/tcomm.2019.2915833>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10079445/1/FINAL%20VERSION.pdf