经典的协作拥塞策略忽略了目的节点端所受到的干扰信号，并使用了较多的中继数量和中继功率． 为了减少中继总功耗和中继使用数量，同时保持较高的安全容量，文中在安全容量的优化问题中引入组稀疏惩罚，并采用近端梯度算法(PGA)进行求解，提出了基于 PGA 的协作拥塞策略． 仿真结果表明，PGA 算法能有效解出安全容量，通过调节惩罚因子的大小，可以在损失小部分安全容量的情况下，大大减少中继总功耗和中继使用数量，合理分配系统资源，提高中继使用效率．

In the traditional cooperative jamming strategies,the interfering signals at the destination node are com- monly ignored,and many relays and a great amount of power are consumed.In order to reduce the consumption of total power and relays without degrading security capacity,group-sparse penalty is introduced in the optimization of security capacity,and a proximal gradient algorithm (PGA) is employed to solve the problem.Moreover,a co- operative jamming strategy on the basis of PGA is proposed.Simulated results show that the PGA-based algorithm helps obtain the security capacity effectively; and that,by adjusting the penalty factor,it can remarkably reduce the consumption of total delay power and delays only with small security capacity loss,reasonably allocate system resources and improve the service efficiency of relays.