Name
Abstract | ||
|---|---|---|
In this paper, we propose an online control frame-work to dynamically slice the network resource for isolated service provisioning in Space-Air-Ground integrated Vehicular Network (SAGVN). In particular, at a given time slot, the system makes online decisions on the request admission and scheduling, UAV dispatching, and resource slicing for different services. To characterize the impact of those parameters, we construct a time-averaged queue stability criteria by taking queue backlogs of all services into consideration, and formulate a system revenue function which incorporates the time-averaged system throughput and UAV dispatching cost. The objective is to maximize the system revenue while stabilizing the time-averaged queue, which can be achieved via the Lyapunov optimization theory. By bounding the drift-plus-penalty, the problem then can be decoupled into four independent subproblems, which are readily solved. The merits of our control framework are three-fold: 1) the system can admit and process as many requests as possible; 2) the time-averaged UAV dispatching cost is minimized; and 3) service queues can be stabilized over time. Extensive simulations are carried out, and the results demonstrate that the control framework can effectively achieve the system revenue maximization and queueing stabilization. Moreover, it can balance the trade-off among system throughput, UAV dispatching cost, and queueing states via parameter tuning. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/VTC2020-Fall49728.2020.9348488 | 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) |
Keywords | DocType | ISSN |
space-air-ground integrated vehicular network,dynamic slicing,isolated service provisioning | Conference | 1090-3038 |
ISBN | Citations | PageRank |
978-1-7281-9485-1 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Lv | 1 | 313 | 28.56 |
| Peng Yang | 2 | 229 | 17.20 |
| Huaqing Wu | 3 | 0 | 0.34 |
| Conghao Zhou | 4 | 15 | 3.67 |
| Ju Ren | 5 | 621 | 58.80 |
| Yaoxue Zhang | 6 | 923 | 97.15 |
| Xuemin Sherman Shen | 7 | 0 | 0.34 |