A Novel Robust Resource Allocation Algorithm for OFDM-based Cooperative Cognitive Radio Networks with Imperfect CSI considerations

Mehdi Ghamari Adian

Abstract


In this paper, the robust resource allocation problem for the orthogonal frequency division
multiplexing (OFDM) based cooperative cognitive radio networks (CRNs) with decode and forward
(DF) protocol, considering the imperfect channel state information (CSI) is studied. The proposed
resource allocation algorithm takes into account multiple kinds of channel uncertainty. On the basis of
the resource allocation scheme with perfect CSI, robust resource allocation algorithm is proposed to
maximize the data rate of the cognitive radio networks, while the interference to primary user (PU) is
below a predefined interference threshold. The worst-case approach is applied to the robust resource
optimization problem. Each channel uncertainty parameter is defined by a bounded distance between
its estimated and exact values, and then the robust power allocation problem is formulated as a semiinfinite
programming (SIP) problem. The worst-case approach is utilized to transform the infinite
constraints into finite constraints and convert the robust power allocation problem into a deterministic
convex optimization problem. Then, a closed form optimal power allocation solution for robust
algorithm is derived by the dual decomposition method. Simulation results validate the effectiveness of
the proposed robust resource allocation algorithm and demonstrate that the robust resource allocation
algorithm is superior to the non-robust algorithm.


Keywords


Cognitive Radio Networks; Cooperative Communications; Multicarrier Systems; Resource Allocation; Imperfect CSI.

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