A non-cooperative game approach is employed to optimize the energy efficiency (EE) for multi-user cognitive radio over multi-input-multi-output (MIMO) interference channels (ICs). Both the per-secondary-user (SU) power constraints and the total interference threshold are taken into consideration in the problem formulation. Although optimizing EE for the formulated multi-constraint fractional problem is non-convex and multi-objective, we show that it can be reformulated as an equivalent multi-objective unconstrained non-fractional problem. A distributed iterative EE optimization algorithm (DIEEOA) for multi-user cognitive radio over MIMO ICs is proposed to achieve the Nash Equilibrium of the non-cooperative game. Effectiveness of the algorithm is validated through computer simulation, and system parameters' impact on the EE is discussed.
Game Theory-Based Energy Efficiency Optimization for Multi-User Cognitive Radio over MIMO Interference Channels
2016-09-01
370449 byte
Conference paper
Electronic Resource
English