Device-to-Device (D2D) communications underlying
the cellular infrastructure is a technology that has recently
been proposed as a promising solution to enhance cellular
network capabilities: It improves spectrum utilization, overall
throughput and energy efficiency while enabling new peer-to-
peer and location-based applications and services. However,
interference is the major challenge since the same resources
are shared by both systems. Therefore, interference management
techniques are required to keep the interference under control.
In this work, in order to mitigate interference, we consider
centralized and distributed power control algorithms in a one-
cell random network model. Differently from previous works, we
are assuming that the channel state information (CSI) may be
imperfect and include estimation errors. We evaluate how this
uncertainty impacts performances. In the centralized approach,
we derive the optimal powers that maximize the coverage
probability and the rate of the cellular user while scheduling
as many D2D links as possible. These powers are computed at
the base station (BS) and then delivered to the users, and hence
the name ”centralized”. For the distributed method, the on-off
power control and the truncated channel inversion are proposed.
Expressions of coverage probabilities are established in function
of D2D links intensity, pathloss exponent and estimation error
variance.