针对多用户联合感知场景问题,考虑次用户至决策中心之间有损信道的情况,提出了基于多址接入信道(MAC)的联合频谱感知算法。在系统结构和数学建模基础上,分析了传统MAC算法渐近性、中断概率等性能。在次用户平均发射功率约束下,以最大化检测概率为目标,对基于MAC算法中的发射增益进行优化;并考虑了一定服务质量情况下最小化次用户数目的问题。仿真结果表明,MAC算法能够保证良好的检测性能,以决策中心错误概率为例,提出的优化算法取得了指数级的性能提升。
For joint sensing of multiple Cognitive Users(CUs), considering the case of fading channels between the CU and the decision center, a joint spectrum sensing algorithm based on Multiple-Access Channels(MAC) was proposed. On the basis of the system structure and signal modeling, the asymptotic behavior and outage probability of the traditional MAC algorithm were analyzed. Under the constraint of the average transmit power of the CU, the transmit gain of the MAC algorithm was optimized to maximize the detection probability; and the problem of minimizing the number of CUs was also studied in the case of certain Quality of Service(QoS). Simulation results show that the proposed MAC algorithm can ensure good detection performance; in particular, it achieves exponential performance improvement in detection error probability.