2 research outputs found
Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing
In this letter, a novel framework is proposed for analyzing data offloading
in a multi-access edge computing system. Specifically, a two-phase algorithm,
is proposed, including two key phases: \emph{1) user association phase} and
\emph{2) task offloading phase}. In the first phase, a ruin theory-based
approach is developed to obtain the users association considering the users'
transmission reliability. Meanwhile, in the second phase, an optimization-based
algorithm is used to optimize the data offloading process. In particular, ruin
theory is used to manage the user association phase, and a ruin
probability-based preference profile is considered to control the priority of
proposing users. Here, ruin probability is derived by the surplus buffer space
of each edge node at each time slot. Giving the association results, an
optimization problem is formulated to optimize the amount of offloaded data
aiming at minimizing the energy consumption of users. Simulation results show
that the developed solutions guarantee system reliability under a tolerable
value of surplus buffer size and minimize the total energy consumption of all
users.Comment: This paper has been submitted to IEEE Wireless Communications Letter