Name
Abstract | ||
|---|---|---|
In this letter, we aim to model and analyze the coded multicasting communication in a hybrid environment with mobile nodes. We consider a cellular vehicular network in which vehicles are mobile nodes and obtain contents either from each other (i.e., D2D) or the base station (i.e., D2I). Employing learning theory, we propose a novel dissemination algorithm tailored for coded multicasting communication in a setting with mobile users. On average, simulation experiments reveal 8% decrease in network communication rate compared with previously reported coded multicasting methods. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LCOMM.2017.2751468 | IEEE Communications Letters |
Keywords | Field | DocType |
Multicast communication,Artificial neural networks,Mobile computing,Quality of service,Mobile nodes | Mobile computing,Base station,Network communication,Computer science,Computer network,Quality of service,Multicast communication,Multicast,Artificial neural network | Journal |
Volume | Issue | ISSN |
21 | 12 | 1089-7798 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saeid Akhavan Bitaghsir | 1 | 2 | 1.04 |
| Ahmad Khonsari | 2 | 210 | 42.43 |