A learning-based approach for vehicle-to-vehicle computation offloading
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …
Blockchain-aided network resource orchestration in intelligent internet of things
The proliferation of users and data traffic poses substantial pressure on resource
management in the Internet of Things (IoT). In addition to beneficially allocating scarce …
management in the Internet of Things (IoT). In addition to beneficially allocating scarce …
Deep reinforcement learning for shared offloading strategy in vehicle edge computing
X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
Multi-user QoE enhancement: Federated multi-agent reinforcement learning for cooperative edge intelligence
Federated learning (FL) as a new decentralized learning/computing technique has potential
advantages (eg, accelerating computation task processing and protecting user privacy) for …
advantages (eg, accelerating computation task processing and protecting user privacy) for …
Multi-agent DRL-based computation offloading in multiple RIS-aided IoV networks
B Hazarika, K Singh, CP Li… - MILCOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper considers an internet of vehicles (IoV) network consisting of vehicle-to-vehicle
(V2V) and vehicle-to-infrastructure (V2I) architecture aided by multi-access edge computing …
(V2V) and vehicle-to-infrastructure (V2I) architecture aided by multi-access edge computing …
Optimal Energy Efficiency Used DDPG in IRS-NOMA Wireless Communications
Q Liu, J Wu, L Hu, S Bi, W Ji, R Yang - Symmetry, 2022 - mdpi.com
Combining Intelligent Reflecting Surface (IRS) with Non-Orthogonal Multiple Access
(NOMA) technology is a viable option for increasing communication performance. Firstly, a …
(NOMA) technology is a viable option for increasing communication performance. Firstly, a …
Intelligent Terminal Computation Offloading Method Based on the Incentive of Reputation Value
H Zhi, Y Wu, X Zhang, L Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Existing researches that apply blockchain into computation offloading do not consider the
enthusiasm of terminals to participate in computation offloading, the fairness of terminals to …
enthusiasm of terminals to participate in computation offloading, the fairness of terminals to …