Adaptive Modulation and Power Allocation in Green Cognitive Radio Networks
Muhammad Zain Siddiqi, Lunchakorn Wuttisittikulkij, Iman Saeed Mirza, Sushank Chaudhary, A. Paranianifard · 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · 2022
In this work, we propose optimal and suboptimal joint bit and power loading schemes for the orthogonal frequency division multiplexing (OFDM) relay-aided cognitive radio network (CRN). Firstly, we formulate the power minimization problem for the relay-aided CRN that satisfies the total power and the quality-of-service (QoS) constraints. To solve the proposed problem, we convert the original formulated power minimization problem into dual subproblem. The dual problem is a convex problem. We adopt an iterative Langrange optimization method to solve the dual problem that satisfies the Karush-Kuhn tucket (KKT) conditions. The simulation results are provided to show the strength of the proposed solution.