With the increase of wireless devices and new applications,highly dense small cell base stations(SBS)have become the main means to overcome the speed bottleneck of the radio access network(RAN).However,the highly-dens...With the increase of wireless devices and new applications,highly dense small cell base stations(SBS)have become the main means to overcome the speed bottleneck of the radio access network(RAN).However,the highly-dense deployment of SBSs greatly increases the cost of network operation and maintenance.In this paper,a base station sleep strategy combining traffic aware and high-low frequency resource allocation is proposed.To reduce the service level agreement(SLA)default caused by base station sleep,Long Short-Term Memory(LSTM)algorithm is introduced to predict the traffic flow,based on the predict result,the SBSs sleep and frequency resource allocation are introduced to increase the energy efficiency of the network.Moreover,this paper improves the decision-making efficiency by introducing Kuhn Munkres algorithm(KM)and genetic algorithm(GA).Simulation results show that the proposed strategy can greatly reduce the energy consumption of small cells and the occurrence of SLA default rate.展开更多
A channel assignment algorithm with awareness of link traffic is proposed in multi-radio multi-channel wireless mesh networks. First, the physical interference model based on the signal-to-interference-plus-noise rati...A channel assignment algorithm with awareness of link traffic is proposed in multi-radio multi-channel wireless mesh networks. First, the physical interference model based on the signal-to-interference-plus-noise ratio and successful transmission condition is described. The model is more suitable for a wireless communication environment than other existing models. Secondly, a pure integer quadratic programming （PIQP） model is used to solve the channel assignment problem and improve the capacity of wireless mesh networks. Consequently, a traffic- aware static channel assignment algorithm（TASC） is designed. The algorithm adopts some network parameters, including the network connectivity, the limitation of the number of radios and the successful transmission conditions in wireless communications. The TASC algorithm can diminish network interference and increase the efficiency of channel assignment while keeping the connectivity of the network. Finally, the feasibility and effectivity of the channel assignment solution are illustrated by the simulation results. Compared witb similar algorithms, the proposed algorithm can increase the capacity of WMNs.展开更多
In elastic networking,the WDM fixed frequency grid is replaced by a more flexible structure,in which the spectrum is organized in frequency slots,and each traffic flow is assigned to an appropriate set of contiguous s...In elastic networking,the WDM fixed frequency grid is replaced by a more flexible structure,in which the spectrum is organized in frequency slots,and each traffic flow is assigned to an appropriate set of contiguous slots.The classical RWA(routing and wavelength assignment)problem is then replaced by the RSA(routing and spectrum assignment)problem.In this paper,we discuss the SA(spectrum assignment)problem in a single link,where it is not coupled to the routing problem,thus allowing for a better understanding of its dynamics.The best SA algorithm,taken as anyone who minimizes the average time it takes to provide total exhaustion of the initial available spectrum under incremental traffic,is shown to be a function of the traffic profile.It is shown that the greedy algorithm,which is unaware of the traffic profile,may impose severe performance penalties if the request rates increase with the number of requested slots.However,no penalty is incurred by more friendly profiles,like the uniform one.展开更多
文摘With the increase of wireless devices and new applications,highly dense small cell base stations(SBS)have become the main means to overcome the speed bottleneck of the radio access network(RAN).However,the highly-dense deployment of SBSs greatly increases the cost of network operation and maintenance.In this paper,a base station sleep strategy combining traffic aware and high-low frequency resource allocation is proposed.To reduce the service level agreement(SLA)default caused by base station sleep,Long Short-Term Memory(LSTM)algorithm is introduced to predict the traffic flow,based on the predict result,the SBSs sleep and frequency resource allocation are introduced to increase the energy efficiency of the network.Moreover,this paper improves the decision-making efficiency by introducing Kuhn Munkres algorithm(KM)and genetic algorithm(GA).Simulation results show that the proposed strategy can greatly reduce the energy consumption of small cells and the occurrence of SLA default rate.
基金The National Basic Research Program of China(973Program)(No.2009CB320501)the Natural Science Foundation of Jiangsu Province(No.BK2010414)+1 种基金China Postdoctoral Science Foundation(No.20100480071)Specialized Research Fund for the Doctoral Program of Higher Education(No.20090092120029)
文摘A channel assignment algorithm with awareness of link traffic is proposed in multi-radio multi-channel wireless mesh networks. First, the physical interference model based on the signal-to-interference-plus-noise ratio and successful transmission condition is described. The model is more suitable for a wireless communication environment than other existing models. Secondly, a pure integer quadratic programming （PIQP） model is used to solve the channel assignment problem and improve the capacity of wireless mesh networks. Consequently, a traffic- aware static channel assignment algorithm（TASC） is designed. The algorithm adopts some network parameters, including the network connectivity, the limitation of the number of radios and the successful transmission conditions in wireless communications. The TASC algorithm can diminish network interference and increase the efficiency of channel assignment while keeping the connectivity of the network. Finally, the feasibility and effectivity of the channel assignment solution are illustrated by the simulation results. Compared witb similar algorithms, the proposed algorithm can increase the capacity of WMNs.
文摘In elastic networking,the WDM fixed frequency grid is replaced by a more flexible structure,in which the spectrum is organized in frequency slots,and each traffic flow is assigned to an appropriate set of contiguous slots.The classical RWA(routing and wavelength assignment)problem is then replaced by the RSA(routing and spectrum assignment)problem.In this paper,we discuss the SA(spectrum assignment)problem in a single link,where it is not coupled to the routing problem,thus allowing for a better understanding of its dynamics.The best SA algorithm,taken as anyone who minimizes the average time it takes to provide total exhaustion of the initial available spectrum under incremental traffic,is shown to be a function of the traffic profile.It is shown that the greedy algorithm,which is unaware of the traffic profile,may impose severe performance penalties if the request rates increase with the number of requested slots.However,no penalty is incurred by more friendly profiles,like the uniform one.
