The always-increasing need of more flexible link for broadband connectivity in mobile
conditions has led to a high-level radio technology evolution.
Radio environment has to be shared and new strategies for improving the usage efficiency need to
be developed in order to allow coexistence between different radio systems.
In the past, the spectrum has been assigned to particular services in a fixed way, for example for
radio mobile or digital television broadcasting systems. This unyielding use of spectrum resources
has led to a really low efficiency; in fact, FCC has demonstrated that radio frequencies are used for
only the 30% of their possibilities.
Basing on these aspects the idea of new technologies allowing coexistence between different radio
systems using the same frequency band has risen up; the Cognitive Radio is one of the most
important among them. A cognitive radio is a smart device, which independently or thanks to
cooperation with others nodes (the so-called secondary users), is able to exploit unused or underused
spectrum fractions; these portions are generally assigned to primary systems, but can be used
by cognitive systems in order to provide services which traditionally were not allowed in that
bands. On the other hand, secondary nodes need to protect primary users from interference coming
from their transmissions, while primary receivers do not become aware of cognitive nodes presence.
A secondary node can adopt different strategies; first of sensing algorithm, together with
geolocation database approach, allows cognitive devices to detect available spectrum portions for
secondary transmissions; at the same time it is really important to forecast the effects of these
transmissions on the primary receivers signal quality. The target of this work was the design of an
interference prevision model, which can allow to establish the interference produced by a secondary
system against a primary DVB-T system.
The last one has many different distinctive features: first of all, the DVB-T receviers are passive
and it is not possible to establish their position in the scenario. Moreover the primary traffic model
is not link ‘burst model’, therefore there are not any temporal intervals in which the spectrum can
be considered as free.
Many different steps have been developed in order to reach the final model: in the first phase the
effect of a single secondary transmission on a primary system with only one transmitter and many
different receivers has been evaluated and a closed-form analytical expression for primary outage
probability has been provided. Then the scenario has been extended to a secondary network instead
of a single cognitive node and we obtained a closed-form analytical expression for the signal-tointerference
ratio CDF; it was not possible to determined a closed form expression for the outage
probability in this case, because of the too high complexity of the mathematical approach. For this
reason the scenario has been modeled thanks to MatLAB simulations, which allowed also to simulate more complex scenarios with more than one primary transmitter and a secondary network.
We also introduced a simple routing rule, in order to demonstrate the effect of our prevision model
on the path selection strategy.
Finally a real test-bed and the experimentation on WiFi-based system, operating in UHF band has
been described. This activity was conducted in collaboration with Politecnico di Torino and CSP
and has marked some advantages coming from the usage of this system for providing broadband
connectivity in Digital Divided zones, instead of using traditional 5 GHz, HyperLAN strategies