@article{discovery10079445,
           month = {August},
          number = {8},
       publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
           title = {A Scalable Energy vs Latency Trade-off in Full Duplex Mobile Edge Computing Systems},
            year = {2019},
         journal = {IEEE Transactions on Communications},
          volume = {67},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
           pages = {5848 --5861},
        keywords = {Full-duplex, MEC, multi-objective optimization,
offloading, energy, latency, interference suppression, constructive
interference, robust designs.},
          author = {Kabir, MT and Masouros, C},
        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.},
             url = {https://doi.org/10.1109/tcomm.2019.2915833}
}