Joint resource allocation in multicarrier based cognitive networks with two-way relaying
Abstract
In this paper, a joint resource allocation problem in amplify and forward (AF) OFDM based two-way multiplerelay cognitive radio network is considered, where two transceiver nodes exchange information via a relay node. The full transmission happens in two phases: Multiple Access (MA) phase and the Broadcast (BC) phase. Considering individual power and interference constraints, the power allocation, subcarrier pairing and relay selection are jointly optimized in order to maximize the sum-rate. The dual decomposition technique is applied to obtain the optimal solution. Additionally, an efficient suboptimal algorithm is proposed to reduce the computational complexity of the optimal solution with a small performance degradation. Finally, simulation results are shown to demonstrate the performance gain of the proposed algorithm.