Titlebook: Network Control and Optimization; First EuroFGI Intern Tijani Chahed,Bruno Tuffin Conference proceedings 2007 Springer-Verlag Berlin Heidel

Gratuitous

大洪水

消息靈通

entice

Two Different Models of FAST TCP and Their Stable and Efficient ModificationAST TCP. Interestingly, these two models show significantly different dynamic performance and stability characteristics. That is, while the latter model is always globally exponentially stable, the former model is faster than the latter model and possible to go unstable. Motivated from these two mod

書法

Deference

The Practical Performance of Subgradient Computational Techniques for Mesh Network Utility Optimizatbility, is solved with a particular subgradient technique. This technique is not an ascent scheme, hence each iteration does not necessarily improve the value of the dual function. This paper examines the performance of this computational technique in realistic mesh network settings. The traditional

大吃大喝

Channel Dependent Interference and Decentralized Colouringnding a proper colouring of a single graph. We show that the interference between WLANs can be channel dependent in which case a different conflict graph is associated with each channel. Channel allocation then corresponds to a multi-graph colouring problem. This potentially has profound implication

軍械庫

Optimal Call Admission Control for an IEEE 802.16 Wireless Metropolitan Area Networkrantee the QoS of UGS, rtPS and nrtPS connections, (ii) maximize the average revenue of the wireless link. To find such optimal policy, we model our CAC agent as a Constrained Semi-Markov Decision Process (CSMDP). To the best of our knowledge, the only algorithm able to compute the optimal control p

Expediency

可商量

Finite Horizon Control Problems Under Partial Informationere each state of the observation process represents a group of states of the unobservable process. We show how the model with partial information can be transformed in one with complete information with the help of the filter technique and conditional probabilities. As a main result we prove the co