Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
Convex Optimization
On ergodic sum capacity of fading cognitive multiple-access and broadcast channels
IEEE Transactions on Information Theory
Rate and Power Allocation for Multiuser OFDM: An Effective Heuristic Verified by Branch-and-Bound
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
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In this paper, the problem of optimal power allocation for OFDM based cognitive radio (CR) system is studied. The maximum transmit rate of cognitive user (CU) is expressed as a convex problem with both total transmit power constraint and interference power constraint. Using dual decomposition method, the linear coupled constraints are decoupled one by one, and the original optimization problem is transferred to several sub-problems which are easy to be solved. A two level dual variable iterative (TLDVI) algorithm is proposed to obtain the final optimal power allocation with lower complexity. Simulation results show that the proposed algorithm convergence fast and can achieve the same maximum transmit rate performance of CU as the standard interior point algorithm.