  Channel aggregation (CA) is one of the newest concept which cognitive radio
network is bringing to bear for the smooth role out of fifth/next generation
wireless networks. This is the combining of several unused primary user
spectrum holes into a logic usable channel. However, several of these
strategies have been investigated considering the varying nature of wireless
link and adaptive modulation and coding (AMC). Examples are the instant
blocking strategy (IBS) and readjustment based strategy (RBS). This paper
develops and compares two CA policies with queue, which are the IBS with queue
(IBS + Q), and the RBS with queue (RBS+Q). This is in furtherance of previous
proposed work. The aim is to identifying the impact of a queuing regime on the
performance of the secondary network such that any secondary user (SU) that has
not completed its service, as an alternative to dropping or forcibly
terminating the service, it is queued in order to get another opportunity to
access the primary user (PU) channels. The performance is evaluated through a
simulation framework. The results validate that with a welldesigned queuing
regime, capacity, access and other metrics can be improved with significant
reduction in blocking and forced termination probabilities respectively.
