基于跨层优化的认知无线电频谱资源管理研究

考虑到认知无线电网络可用信道在工作频率、带宽、传输范围和干扰范围等不同方面所具有的特异性,基于跨层的优化框架被提出并应用在认知无线电的调度、频谱分配和其路由算法.该算法能够借助已知的信道特性构造出频谱调度矩阵,而且可以将混合型NP-hard线性规划问题简化,同时算法中的遍历算法可以显著降低构建调度矩阵的计算复杂度(从原来的O(2M)降低到O(M2)).仿真结果显示了该算法能够显著提高认知无线电网络的性能.

Cognitive Radio Spectrum Resource Management Based on Cross-layer Optimization

Considering the different characteristics of available channel bandwidth infrequency,interference range and transmission range of cognitive radio network,cross-layer optimization framework was proposed to be used for cognitive radio spectrum allocation,scheduling and routing algorithm.The method can take advantage of known channel characteristic information to constitute the scheduling matrix and change the mixed integer linear programming optimization problem of NP-hard into simplified ordinary linear programming problem,in which an applicable traversal algorithm reduce the complexity of construction of schedule matrix significantly（from the original O（2M） to O（M2））.The simulation results demonstrated that the algorithm can significantly improve the performance of cognitive radio networks.