认知网络中快速自适应功率控制算法

doi:10.3969/j.issn.1001-2400.2010.02.002

Abstract

Abstract:

An adaptive utility function based on the sigmoid function is proposed, which is related to the signal-to-interference plus noise (SINR) threshold and the obtained SINR, so that it will help to implement the opportunistic spectrum access by adaptively adjusting the SINR threshold, and it will satisfy the QoS requirement of multiple secondary users (SUs) fast. Meanwhile, considering the fairness among SUs, we rebuilt the pricing function to improve the Pareto optimality of the Nash equilibrium solution (NES). Based on all this, a power control model is investigated from the perspective of the non-cooperative game theory. The model is proved to be the super-modular game, and it can guarantee the existence and uniqueness of the NES. Simulation results show that the proposed power control algorithm can lead to converfence after 10 iterations, and that compared to the referenced algorithm it can save 10％ power consumption and achieve mostly 15％ improvement on the final utility.

Key words: adaptive utility function, cognitive radio, non-cooperative game power control, Nash equilibrium

LI Jian-dong;XUE Fu-guo;YANG Chun-gang;LI Wei-ying;SHI Hua. Fast adaptive power control approach for cognitive radio networks[J].J4, 2010, 37(2): 186-191.

References

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Fast adaptive power control approach for cognitive radio networks

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