| Title | Age of Information in a Cellular Internet of UAVs: Sensing and Communication Trade-Off Design |
| Authors | Zhang, Shuhang Zhang, Hongliang Han, Zhu Poor, H. Vincent Song, Lingyang |
| Affiliation | Peking Univ, Dept Elect, Beijing 100871, Peoples R China Univ Houston, Elect & Comp Engn Dept, Houston, TX 77004 USA Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 02447, South Korea Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA |
| Keywords | OPTIMIZATION MINIMIZATION NETWORKS |
| Issue Date | Oct-2020 |
| Publisher | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS |
| Abstract | In this paper, we consider the cellular Internet of unmanned aerial vehicles (UAVs), where UAVs sense data with onboard sensors for multiple sensing tasks and transmit the data to the base station (BS). To quantify the "freshness" of the data at the BS, we bring in the concept of the age of information (AoI). The AoI is determined by the time for UAV sensing and that for UAV transmission, which gives rise to a trade-off within a given period. To minimize the AoI, we formulate a joint sensing time, transmission time, UAV trajectory, and task scheduling optimization problem. This NP-hard problem can be decoupled into two subproblems. We first propose an iterative algorithm to optimize the sensing time, transmission time, and UAV velocity for completing a specific task. Afterwards, we design the order in which the UAV performs data updates for multiple sensing tasks. The convergence and complexity of the proposed algorithm, together with the trade-off between UAV sensing and UAV transmission, are analyzed. Simulation results show that the AoI with the proposed algorithm is about 15% lower than that of the greedy algorithm, and over 40% lower than that of the random algorithm. |
| URI | http://hdl.handle.net/20.500.11897/592882 |
| ISSN | 1536-1276 |
| DOI | 10.1109/TWC.2020.3004162 |
| Indexed | SCI(E) |
| Appears in Collections: | 信息科学技术学院 |
