.png){kind=icon}
返回
Multi-User Computation Offloading in Dynamic Environment for LEO Constellation Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/TVT.2023.3327308.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we examine the problem of multi-user computation offloading for Low Earth Orbit (LEO) constellation networks under dynamic environment. To solve the puzzle of in-orbit computing performance degradation caused by multi-user access interference, we focus on minimizing channel interference while considering the stochastic characteristic of satellite-ground channels and the dynamic nature of ground user access. From a game-theoretic perspective, we model the interference mitigation problem as a potential game, and demonstrate that the Nash Equilibrium (NE) minimizes the channel interference. Meanwhile, we design an intelligent stochastic learning algorithm (ISLA) based on the stochastic learning method. Finally, simulation results show that the proposed algorithm can significantly reduce co-channel interference and system overhead compared with the benchmark algorithms, and achieve near-optimal performance.
Keyword:
Low Earth Orbit (LEO) constellation network
computation offloading
dynamic environment
potential game
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏A new simple model for land mobile satellite channels: First- and second-order statistics陆地移动卫星信道的一个新的简单模型: 一阶和二阶统计量
PREAI
分享收藏
分享收藏Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing混合云和边缘计算在LEO卫星网络中的计算卸载
PREAI
分享收藏
查看更多内容