认知无线电网络中基于路径容量的路由

Path Capacity-based Routing in Cognitive Radio Networks

现存的认知无线电网络(cognitive radio networks,CRNs)路由和信道分配的多数策略是基于用户的半双工(half-duplex,HD)通信模型。近期的全双工(full-duplex,FD)通信和自干扰抑制技术的改进,对HD通信提出了挑战。面向FD-CRNs,提出基于路径容量的路由(path capacity-based routing,PCR)。将信道分配问题转化成二次规划(binary quadratic programs,BQPs),利用多项式时间-次优序列的线性规划(polynomial-time suboptimal sequential fixing linear programming,SFLP)求解。最后,选择具有最大路径容量的路径传输数据,提高网络吞吐量。实验数据表明,提出的PCR路由降低了对信道要求,提高了网络吞吐量。

Most of strategies of the Routing and channel assignment for the existed cognitive radio networks(CRNs)are based on the half-duplex(HD)communication model of users.However,recent advances in full-duplex(FD)communications and self-interference suppression techniques challenge the traditional HD transmission.Therefore,for Full-Duplex Cognitive Radio Networks,Path Capacity-based Routing(PCR)is proposed.Firstly,the channel assignment problem is transformed to a Binary Quadratic Programs(BQPs),then the solution is solved by Polynomial-time suboptimal sequential fixing linear programming.Finally,the path transmission data with maximum path capacity are selected,in order to improve the throughput of the network.The experiment results show that the proposed PCR can reduce the requirement for channel,and can improve the through put of the network.