Genetic Algorithm Based QoS Aware Adaptive Subcarrier Allocation in Cognitive Radio Networks ()
ABSTRACT
In this paper, an adaptive subcarrier allocation scheme with
reconfiguration of operating parameters for Cognitive Radio Networks (CRN) is
presented. A QoS-conscious spectrum decision frame work is projected, where
spectrum bands are determined by considering the application requirements as
well as the dynamic nature of the spectrum bands. The novel subcarrier
allocation algorithm is developed to fulfill different performance objective as
a solution for subcarrier allocation and power allocation problem for Cognitive
Radio (CR) users in CRNs. It employs operating frequency parameter modification
using Proportional Resource Algorithm and Genetic Algorithm (GA). The multi
objective optimization problem with equality and inequality constraint is considered.
Moreover, a dynamic subcarrier allocations scheme is developed based on GA to
decide on the spectrum bands adaptively dependent on the time-varying CR
network capacity. The proposed algorithm targets to achieve maximum data rate
for each subcarrier, maximize the overall network throughput and maximize the
number of satisfied user under the constraints of bandwidth and guarantee
Quality of Service (QoS) requirement from dynamic spectrum management (DSM)
perspective. Moreover, it determines the best available channel.
Share and Cite:
Patil, D. , Wankhede, V. and Wadhai, V. (2015) Genetic Algorithm Based QoS Aware Adaptive Subcarrier Allocation in Cognitive Radio Networks.
Wireless Engineering and Technology,
6, 87-97. doi:
10.4236/wet.2015.64009.