Novel Efficient Coding Scheme for DataRate Limited JourneyAware GraphData Transmission How to efficiently transmit graphdata to mobile devices is quite appealing nowadays, especially for autonomous vehicles and positioning systems. When a mobile receiver is set out for a journey, the objective is often to reconstruct topologicallycomplete subgraphs according to the arrival data in real time. Hence, we dedicate a novel coding scheme to segmenting and arranging the data efficiently from a huge meshgrid graph. When the datarate is restricted, through our proposed partitioning and scheduling schemes, mobile receivers can greatly relax the requirement for the number of transmission times to reconstruct topologicallycomplete subgraphs. To evaluate our proposed techniques, we derive the expected number of transmission times required to reconstruct a subgraph theoretically. Moreover, we define the khop completeness to measure the probability of reconstructing a topologicallycomplete subgraph by any scheme. Our proposed new method greatly outperforms the conventional scheme theoretically and by simulation. Our proposed method can enable the future journeyaware dynamic mapping system on vehicles without any need of prestored huge map database.

Largevolume data dissemination for cellularassisted automated driving with edge intelligence Abstract   Automated driving emerges as a potential technology for safe, convenient, and efficient transportation systems. In order to assist autonomous vehicles with largevolume data dissemination such as high definition (HD) map, cellular network becomes more inevitable to provide vehicles with the ability of accessing Internet. However, due to the bottleneck of wireless bandwidth and the high mobility of vehicles, efficient data dissemination assisted by cellular network is a challenging task. In this work, we investigate the largevolume data dissemination problem for cellularassisted automated driving within given delay limit. Firstly, a data dissemination scheme is designed that transmits data from the base stations to the target vehicle via a collection of relay vehicles. Secondly, a novel user satisfaction model is derived by considering the vehicular mobility patterns and erasure coding, and the data dissemination is formulated into an optimization problem. Then, to solve this NPhard problem, a lowcomplexity dynamic programming based data dissemination solution with edge intelligence is proposed. Finally, by carrying out extensive simulation, the effectiveness of proposed data dissemination scheme for cellularassisted automated driving is demonstrated, in comparison with the optimal solution based on CPLEX as well as other conventional schemes.