CAJ | 학술논문

在认知无线电网络中，当认知用户（CU）与主用户（PU）共享频谱带宽时，需要对认知用户的发射功率进行控制，以确保认知用户在满足自己的QoS且不影响主用户的前提下与主用户共享频谱带宽。利用博弈论的方法，设计了一种基于链路增益和干扰温度的代价函数，并据此提出了一种改进型非合作博弈功率控制算法（IPC-NG）。通过数学理论推导分析，证明了新的净效用函数存在纳什均衡且均衡点唯一，同时还分析了该算法的收敛速度。仿真结果表明，该算法不仅避免了对主用户的影响，也保证了每个CU的QoS需求，同时还提高了认知系统的吞吐量和净效用。
재인지무선전망락중，당인지용호（CU）여주용호（PU）공향빈보대관시，수요대인지용호적발사공솔진행공제，이학보인지용호재만족자기적QoS차불영향주용호적전제하여주용호공향빈보대관。이용박혁론적방법，설계료일충기우련로증익화간우온도적대개함수，병거차제출료일충개진형비합작박혁공솔공제산법（IPC-NG）。통과수학이론추도분석，증명료신적정효용함수존재납십균형차균형점유일，동시환분석료해산법적수렴속도。방진결과표명，해산법불부피면료대주용호적영향，야보증료매개CU적QoS수구，동시환제고료인지계통적탄토량화정효용。
In cognitive radio network, where Cognitive Users(CUs)share spectrum bandwidth with the Primary Users (PUs), it is necessary for cognitive users to perform power control to guarantee their QoS and avoid affecting PUs. In this paper, an improved power control algorithm based on non-cooperative game(IPC-NG)is proposed, with cost functions based on link gains and interference temperature. It is proved that the Nash equilibrium exists uniquely for the new net utility function through mathematical derivation and theoretical analyses. In the meantime, the convergence rate of the algorithm is analysed. Simulation results show that the algorithm not only avoids the influence for PU and guarantees the QoS of CUs, but also increases the system throughput and net utility.