CAJ | 학술논문

为了提高信息物理融合系统的通信速率，同时保证各用户的QoS需求，提出了一种基于合作博弈的CPS通信资源分配算法。将CPS中OFDMA网络下行链路的资源分配过程建模为多用户间的合作博弈，通过求解纳什议价解，实现用户间的Pareto最优性。仿真结果表明，该算法在系统速率最大化和用户公平性上获得了很好的折中，与最大化系统速率算法相比更具有公平性，与最大化最小公平性算法相比速率提高了34%，在一定程度上提高了CPS通信网络的性能。
위료제고신식물리융합계통적통신속솔，동시보증각용호적QoS수구，제출료일충기우합작박혁적CPS통신자원분배산법。장CPS중OFDMA망락하행련로적자원분배과정건모위다용호간적합작박혁，통과구해납십의개해，실현용호간적Pareto최우성。방진결과표명，해산법재계통속솔최대화화용호공평성상획득료흔호적절중，여최대화계통속솔산법상비경구유공평성，여최대화최소공평성산법상비속솔제고료34%，재일정정도상제고료CPS통신망락적성능。
A resource allocation algorithm based on cooperative game theroy is proposed to balance the cyber-physical sys-tem(CPS)communication capacity and the user's QoS fairness. The algorithm focuses on CPS multi-user resource allocation in downlink of orthogonal frequency division multiple access(OFDMA)networks,and resource allocation process is modeled by co-operative games between users. Pareto optimality between users was implemented through solving the Nash bargaining solution. Simulation results indicate that a good compromise between the maximise system capacity and the QoS fairness was obtained through the algorithm. Compared with the max-min fairness algorithm,the data rate of this algorithm increased by a factor of about 1/3,which achieved a better fairness than the max-rate algorithm did. To some degree,this algorithm improved the perfor-mance of CPS communication network.