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| Distributed Power Control Algorithm for Cognitive Radio Networks Based on Geometric Programming |
| Lingling Chen, Xiaohui Zhao |
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Abstract In order to improve spectrum efficiency in Cognitive Radio Networks
(CRNs), a standard distributed optimal power control strategy with
high Signal to Interference Plus Noise Ratio (SINR) based on
maximization of data rate for each Second User (SU) under two
constraints (maximum transmit power of each SU at all subcarriers
and maximum tolerated interference power for Primary Users (PUs) at
each subcarrier) is proposed in Orthogonal Frequency-division
Multiplexing (OFDM) framework. Considering nonconvexity of our
objective function, Geometric Programming (GP) is introduced to
transform it into a convex optimization problem. Using Lagrange
relaxation of the coupling constraints method and subgradient
iterative algorithm in a distributed way, this dual problem is
solved. To enhance the Quality of Service (QoS) requirements for SUs
at each subcarrier, an improved algorithm is also presented.
Numerical simulation results show that both the standard algorithm
and the improved algorithm are all superior to the traditional IWFA
in data rate of each SU, convergence speed, and computational
complexity.
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| DOI:10.12733/jics20104997 |
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