CAJ | 학술논문

采用合作博弈对多信道认知无线网络中的频谱共享问题进行了建模分析，提出了次用户在各信道上的信干噪比乘积作为合作博弈的效用函数。次用户在各信道上保证对主用户的干扰小于一定门限的要求下，通过最大化各自效用函数的乘积来进行功率分配。由于最大化次用户效用函数的乘积问题是非凸的，通过变量替换将其转化为了一个等价的凸优化问题，利用该凸优化问题的对偶分解，提出了一种次用户间的频谱共享算法。仿真结果表明，所提算法在次用户和速率与公平性之间进行了有效折中。
채용합작박혁대다신도인지무선망락중적빈보공향문제진행료건모분석，제출료차용호재각신도상적신간조비승적작위합작박혁적효용함수。차용호재각신도상보증대주용호적간우소우일정문한적요구하，통과최대화각자효용함수적승적래진행공솔분배。유우최대화차용호효용함수적승적문제시비철적，통과변량체환장기전화위료일개등개적철우화문제，이용해철우화문제적대우분해，제출료일충차용호간적빈보공향산법。방진결과표명，소제산법재차용호화속솔여공평성지간진행료유효절중。
Spectrum sharing problem in multi-channel cognitive radio networks was modeled as a cooperative game. A utility function based on the product of the signal to interference plus noise ratio (SINR) was proposed. The power allocation of secondary users was determined by maximizing the product of the utility function to ensure that the interfe-rence power to the primary user is under a certain threshold in each channel. As the problem of maximization the product of the utility function of secondary users was non-convex, it was transformed into an equivalent convex optimization problem by variable alternation. A spectrum sharing algorithm was proposed based on the dual decomposition of the convex optimization problem. Simulation results show that the proposed algorithm achieves an effective compromise between the sum rate and the fairness among the secondary users.