Integrating Two Feedback Queuing Discipline into Cognitive Radio Channel Aggregation
Abstract
Queuing regime is one outstanding approach in
improving channel aggregation. If well designed and incorporated
with carefully selected parameters, it enhances the smooth
rollout of fifth/next generation wireless networks. While channel
aggregation is the merging of scattered TV white space (spectrum
holes) into one usable chunk for secondary users (SU). The
queuing regime ensures that these unlicensed users (SUs) traffic/
services are not interrupted permanently (blocked/dropped or
forced to terminate) in the event of the licensed users (primary
user) arrival. However, SUs are not identical in terms of traffic
class and bandwidth consumption hence, they are classified as
real time and non-real time SU respectively. Several of these
strategies have been studied considering queuing regime with a
single feedback queuing discipline. In furtherance to previous
proposed work with single feedback queuing regime, this paper
proposes, develops and compares channel aggregation policies
with two feedback queuing regimes for the different classes of
SUs. The investigation aims at identifying the impacts of the twofeedback
queuing regime on the performance of the secondary
network such that any SU that has not completed its ongoing
service are queued in their respective buffers. The performance is
evaluated through a simulation framework. The results validate
that with a well-designed queuing regime, capacity, access and
other indices are improved with significant decrease in blocking
and forced termination probabilities respectively.
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