CAJ | 학술논문

针对认知网络中主用户状态的不确定性和随机检测策略无法保证认知用户准确地寻找可用信道的问题，该文提出一种利用认知无线网络中空闲认知用户进行联合随机检测的策略。在加入空闲认知用户进行检测后，利用马尔科夫模型对认知基站获得的可用信道数进行描述，推导出此时认知网络的检测性能。理论分析和仿真结果表明，利用空闲认知用户可以减少服务时延，提高认知网络的吞吐量。在考虑认知用户汇报检测信息所占用的时长后，通过优化算法得出最优的参与联合检测的空闲认知用户数。
침대인지망락중주용호상태적불학정성화수궤검측책략무법보증인지용호준학지심조가용신도적문제，해문제출일충이용인지무선망락중공한인지용호진행연합수궤검측적책략。재가입공한인지용호진행검측후，이용마이과부모형대인지기참획득적가용신도수진행묘술，추도출차시인지망락적검측성능。이론분석화방진결과표명，이용공한인지용호가이감소복무시연，제고인지망락적탄토량。재고필인지용호회보검측신식소점용적시장후，통과우화산법득출최우적삼여연합검측적공한인지용호수。
A joint random sensing policy is proposed by using the inactive secondary users in the cognitive network, which is different from previous cognitive radio sensing researches. The policy is proposed due to the uncertainty of primary users’ states and the problem of inability for the random sensing policy to find out vacant channels rapidly. After utilizing inactive secondary users to detect, sensing performance of cognitive networks can be deduced by modeling the list of available channels stored in cognitive base station as Markov model. Both the theoretical analysis and simulating results show that sensing with inactive cognitive users can reduce the service overhead and improve the cognitive network throughput. After considering the report overhead of secondary users, the optimal number of inactive users is obtained which yields the highest throughput of cognitive network through an optimization algorithm.