An optimization of the NCL size can be done either
manually based on an estimation of a signal propagation (see,
e.g., [4][5]) or dynamically using knowledge of real network
parameters (e.g., [6]-[10]). The first approach utilized, for
example, in GSM networks, is very inefficient in terms of
accuracy and cost of manpower required for such optimization.
Therefore, we focus on the second way of the NCL
optimization, which exploits real network parameters. Most of
the work in the area of NCL optimization focuses on networks
with macrocells only (see e.g., [1][2][6]-[11])]. However, in
the future mobile networks, femtocells (in 3GPP denoted as
Home eNodeBs – HeNBs) are considered as a very important
part of the network architecture [12]. The problem of
employing proposals focusing only on macrocells to the
environment with HeNBs consists in large NCLs. This is
notable especially if HeNBs are deployed densely [3].