In this paper, we address dynamic spectrum access
for Primary Operators (POs) for LTE-Advanced systems. We
propose a dynamic spectrum access framework that exploits the
capabilities of carrier aggregation to efficiently utilize the
unutilized spectrum which varies with time and space when static
spectrum access policies are adopted. A spectrum owner (SO)
adopts an auction scheme for accessing spectrum for the dynamic
requests. Furthermore, we introduce an accurate model driven
by real-life statics and LTE-A standard specifications for
estimating the bandwidth required to satisfy the traffic demands
of an operator’s subscribers for a projected demand model. For
the auction process, we map the spectrum access problem into a
bounded knapsack problem which is solved using dynamic
programming in pseudo-polynomial time. The solution uses the
generalized second price strategy. Simulation results show more
than 20% reduction in the required spectrum and up to 80%
reduction in the average unutilized spectrum as compared with
traditional static spectrum access due to the on-demand
spectrum assignment.
Keywords— Dynamic spectrum access; auction; carrier
aggregation; Bounded knapsack problem.