Optimal Power Control for Cognitive Radio Networks Under Coupled Interference Constraints: A Cooperative Game-Theoretic Perspective

摘要: Distributed power control is investigated for cognitive radio networks (CRNs) based on a cooperative game-theoretic framework. Taking into consideration both network efficiency and user fairness, Nash bargaining power-control game (NBPCG) model formulated, where interference constraints (IPCs) are imposed to protect the primary users' (PUs') transmissions, minimum signal-to-interference-plus-noise ratio (SINR) requirements employed provide reliable transmission opportunities secondary users. An SINR-based utility function designed this model, which not only reflects spectrum of CRN but also complies with all axioms in theorem and, hence, facilitates efficient algorithmic development. The existence, uniqueness, fairness solution proved analytically. To deal IPCs decisions users coupled, these properly transformed pricing objective utility. Accordingly, Kalai-Smorodinsky (KS) (NBS) developed, result Pareto-optimal solutions NBPCG problem different user-fairness policies. Theoretical analysis simulations provided testify effectiveness proposed algorithms fair CRNs.