Khái niệm cốt lõi
The proposed approach leverages digital twin technology and a generative model to enable resource coalition cooperation and optimize task assignment in an aerial mobile edge computing network.
Tóm tắt
The paper introduces a digital twin-empowered aerial mobile edge computing (MEC) network framework composed of an application plane, a physical plane, and a virtual plane. The virtual plane is responsible for collecting device status information, building a resource pool, and generating resource cooperation strategies for task assignment.
The authors formulate the task assignment problem as a transferable utility (TU) coalition game, which aims to jointly optimize MED satisfaction, coalition utilization, and energy consumption under constraints such as task assignment capacity, latency, bandwidth, and cache. The non-convex optimization problem is transformed into a convex optimization programming with linear constraints.
A resource coalition cooperation approach based on the TU coalition game is proposed. The approach uses an iterative solution to optimize resource utilization in the UAV coalition. Furthermore, a generative model is used to generate a preliminary coalition structure, which can be directly applied to the coalition game to reduce iterations and further reduce energy consumption.
Numerical results confirm the effectiveness of the proposed approach in terms of energy consumption and resource utilization compared to alternative methods.
Thống kê
The total energy consumption of the UAV coalition is expressed as Et
V = Et
V,tr + Et
V,cp + Et
j,h.
The utility function of UAVj within time slot t is ut
j = U t
gk
st
j/Σj∈gkst
j - αEt
j,cp - βEt
j,h.
Trích dẫn
"The DT not only generates virtual models representing physical objects within the network but also maintains real-time monitoring of the network's status. This enables the direct provisioning of facilitating more accurate and timely offloading decisions to users, aligning with the evolving needs of intelligent systems."
"The GM can generate a preliminary coalition structure, which can be directly applied to the coalition game to reduce iterations and further reduce energy consumption."