Adaptive digital twin for vehicular edge computing and networks
Y Dai, Y Zhang - Journal of Communications and Information …, 2022 - ieeexplore.ieee.org
To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …
Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
Value-based reinforcement learning approaches for task offloading in delay constrained vehicular edge computing
In the age of booming information technology, human-being has witnessed the need for new
paradigms with both high computational capability and low latency. A potential solution is …
paradigms with both high computational capability and low latency. A potential solution is …
An efficient algorithm for task allocation with the budget constraint
This paper studies a heterogeneous task allocation problem with the budget constraint.
Existing works on task allocation mainly tackle this well-known NP-hard problem from an …
Existing works on task allocation mainly tackle this well-known NP-hard problem from an …
Pre-predictive congestion-based data allocation for sixth generation cooperative intelligent transportation systems
G Manogaran, I Alrayes, A Alshaikhi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cooperative intelligent and autonomous transportation systems rely on intelligent sensing,
computing, and actuating technologies for unmanned freight and public movements. The …
computing, and actuating technologies for unmanned freight and public movements. The …
Enhancing handover for 5g mmwave mobile networks using jump Markov linear system and deep reinforcement learning
The Fifth Generation (5G) mobile networks use millimeter waves (mmWaves) to offer gigabit
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
data rates. However, unlike microwaves, mmWave links are prone to user and topographic …
Performance of cooperative detection in joint communication-sensing vehicular network: A data analytic and stochastic geometry approach
The increasing complexity of urban environments introduces additional uncertainty to the
deployment of the autonomous vehicular network. A novel road infrastructure cooperative …
deployment of the autonomous vehicular network. A novel road infrastructure cooperative …
Resource allocation strategy based on tripartite graph in vehicular social networks
Y Zhang, Y Zhou - IEEE Transactions on Network Science and …, 2022 - ieeexplore.ieee.org
Owing to the limited spectrum of vehicular social networks and the fragmented distribution of
caching resources, problems such as low vehicle data transmission rate, poor service …
caching resources, problems such as low vehicle data transmission rate, poor service …
A novel routing protocol for hierarchical software defined vehicular ADHOC network
The nodes of a Vehicular Adhoc Network (VANET), are highly mobile in nature. Hence, it is
very challenging to disseminate the message to the nodes with high reliability. The …
very challenging to disseminate the message to the nodes with high reliability. The …
D2D Communication Underlaying UAV-Enabled Network: A Content-Sharing Perspective
The last era has witnessed an unprecedented demand for digital content. To meet these
rigorous demands, researchers have been busy developing content-sharing applications …
rigorous demands, researchers have been busy developing content-sharing applications …