Name
Abstract | ||
|---|---|---|
In an access node to a hybrid-switching network (e.g., a base station handling the downlink in a cellular wireless network), the output link bandwidth is dynamically shared between isochronous (guaranteed bandwidth) and asynchronous traffic types. The bandwidth allocation is effected by an admission controller, whose goal is to minimize the refusal rate of connection requests as well as the loss probability of packets queued in a finite buffer. Optimal admission control strategies are approximated by means of backpropagation feedforward neural networks, acting on the embedded Markov chain of the connection dynamics. The case of unknown, slowly varying, input rates is explicitly considered. Numerical results are presented, comparing the approximation with the optimal solution obtained by dynamic programming. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/3477.704298 | Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
Markov processes,backpropagation,broadband networks,computer networks,dynamic programming,feedforward neural nets,telecommunication traffic,adaptive neural network admission controller,backpropagation feedforward neural networks,base station,cellular wireless network,connection dynamics,connection requests,dynamic bandwidth allocation,dynamic programming,embedded Markov chain,hybrid-switching network,loss probability,output link bandwidth | Wireless network,Feedforward neural network,Admission control,Computer science,Control theory,Bandwidth allocation,Network packet,Computer network,Bandwidth (signal processing),Dynamic bandwidth allocation,Network traffic control | Journal |
Volume | Issue | ISSN |
28 | 4 | 1083-4419 |
Citations | PageRank | References |
4 | 0.60 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Bolla | 1 | 66 | 8.51 |
| Davoli, Franco | 2 | 117 | 10.65 |
| P. Maryni | 3 | 6 | 1.69 |
| T Parisini | 4 | 935 | 113.17 |