Joint Optimization of User Association and User Satisfaction in
Heterogeneous Cellular Networks
28th International Teletraffic Congress (ITC 28), Würzburg, Germany, (September 2016)Abstract
In this paper, we address the joint problem of user association and
resource allocation in wireless heterogeneous networks. Therefore, we
formulate an optimization approach considering two objectives, namely,
maximizing the number of served User Equipments (UEs) and maximizing the
sum of the UE utilities. Precisely, the aim is to associate UEs with the
optimal Radio Access Technology (RAT) and to allocate to these UEs the
optimal Resource Units (RUs) based on their requested services and
contracts. Our problem is challenging because it is mixed integer
non-linear optimization. To tackle this difficulty, we provide a Mixed
Integer Linear Programming (MILP) re-formulation of the problem that makes
it computationally tractable. Various preferences for user association and
resource allocation are conducted by tuning: on the one hand, the weights
associated with different services and contracts; on the other hand, the
weights associated with the considered two objectives. The optimal solution
of the MILP problem is computed for a realistic network scenario and
compared with legacy solution. Extensive simulation results show that the
proposed optimization approach improves the overall network performance
while considering the UE requested service and contract: it outperforms
legacy solutions in terms of user satisfaction. Moreover, it provides an
efficient distribution of UEs on the different RATs.
Links and resources
Tags
community
@itc's tags highlighted