Аннотация:
Recently, large intelligent surfaces/antennas (LISA) have been widely stud-
ied as an emerging technology for future wireless networks. In general, LISA
contains a large number of passive sensors that are able to adjust a phase-shift on
impinging signals. To this end, an intelligent module can control this phase-shift
resulting in controlling the wireless multipath channel phase-distortion, which
is random in nature. In this work, we study on how a LISA can serve multiple
Device-to-device (D2D) communications. Here, we consider LISA sensors as re-
sources and propose a genetic algorithm (GA) based optimization for the proper
resource allocation of LISA elements. The application of the algorithm produces
admirable results that stand out compared to the resource allocation process that
does not employ this method. The overall Spectral Efficiency values estimated in
several aspects are much more improved using the GA-based scheme. The study
in this thesis was able to not only provide a sensor allocation, but also enhance
the sum rate values of the system.