In order to maximize the energy efficiency (EE) of a cognitive small cell base station

this paper analyzes downlink joint spectrum resource blocks (SRBs) and power allocation based on game theory.In an interference-limited environment

base stations can share unused spectrum resources in a distributed architecture.The proposed algorithm introduces power and interference temperature constraints to avoid harmful accumulated interference on primary users.It is non-convex optimal to optimize the fractional form EE under multiple coupling constraints.The maximization problem is transmitted into an equivalent problem in subtractive form which can be solved from the iterative point of view.After obtaining the SRBs allocation strategies

the original game can be re-modeled as equivalent sub-games

then the transmission power can be solved more easily after decoupling power constraints based on pricing.Simulation results show that the proposed algorithm can converge to a Nash equilibrium and effectively improve system resources utilization and EE.