CAJ | 학술논문

提研究基于认知多址接入信道（C -MAC ）的光纤无线通信（ROF ）接入网络在发射功率以及干扰温度约束下的系统加权总容量（Weighted -Sum Rate）最大化问题。由单入多出（SIMO）模型的特殊算法作为切入点，通过部分对偶分解技术，松弛干扰温度约束，将原始问题分解为较易处理的子问题；另外针对文献〔13〕所提方法的不足，提出一种适用于多入多出（MIMO ）天线系统的迭代注水算法以求解最大系统加权容量。最后通过仿真表明算法的有效性。
제연구기우인지다지접입신도（C -MAC ）적광섬무선통신（ROF ）접입망락재발사공솔이급간우온도약속하적계통가권총용량（Weighted -Sum Rate）최대화문제。유단입다출（SIMO）모형적특수산법작위절입점，통과부분대우분해기술，송이간우온도약속，장원시문제분해위교역처리적자문제；령외침대문헌〔13〕소제방법적불족，제출일충괄용우다입다출（MIMO ）천선계통적질대주수산법이구해최대계통가권용량。최후통과방진표명산법적유효성。
The weighted -sum rate maximization problem for radio -over-fiber access network ,which is based on the cognitive multiple access channels (C-MAC) ,was addressed under transmit power and interference temperature constraints .By analyzing the solution for SIMO model and exploiting the partial dual decomposition technique to relax the interference temperature constraint ,the original problem was decomposed into more tractable subproblems .An iterative water-filling algorithm ,which can improve the weakness of solution in reference 13 ,was proposed to obtain the maximum weighted -sum rate of MIMO model . Finally ,simulation results have been presented to verify the effectiveness of the algorithm .