This paper presents a methodology for planning new SDH target transmission network in China,which is of,in structure into four levels: the inter province backbone network,the intra province backbone networks,loc...This paper presents a methodology for planning new SDH target transmission network in China,which is of,in structure into four levels: the inter province backbone network,the intra province backbone networks,local networks,and subscriber access networks.At meantime,in order to obtain high degree of network survivability,topology configure of protection and reconfiguration for each level network is also discussed. In order to help the planner in computer aid design and analysis,a modified integrated self healing network design algorithms ( The integration of Capacity Assignment Optimization Algoritms, R D, SSR and DSH ) which support this planning methodology is presented and discussed.The computer simulation results are also given to show the practical application of this methodology and benefits of this algorithm.The results show that this algorithm is very effective for designing a higher degree of self healing network with least spare capacity.展开更多
文摘This paper presents a methodology for planning new SDH target transmission network in China,which is of,in structure into four levels: the inter province backbone network,the intra province backbone networks,local networks,and subscriber access networks.At meantime,in order to obtain high degree of network survivability,topology configure of protection and reconfiguration for each level network is also discussed. In order to help the planner in computer aid design and analysis,a modified integrated self healing network design algorithms ( The integration of Capacity Assignment Optimization Algoritms, R D, SSR and DSH ) which support this planning methodology is presented and discussed.The computer simulation results are also given to show the practical application of this methodology and benefits of this algorithm.The results show that this algorithm is very effective for designing a higher degree of self healing network with least spare capacity.
