scholarly journals Corrigendum to “Collaborative Computing and Resource Allocation for LEO Satellite-Assisted Internet of Things”

2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
Tao Leng ◽  
Xiaoyao Li ◽  
Dongwei Hu ◽  
Gaofeng Cui ◽  
Weidong Wang


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tao Leng ◽  
Xiaoyao Li ◽  
Dongwei Hu ◽  
Gaofeng Cui ◽  
Weidong Wang

Satellite-assisted internet of things (S-IoT), especially the S-IoT based on low earth orbit (LEO) satellite, plays an important role in future wireless systems. However, the limited on-board communication and computing resource and high mobility of LEO satellites make it hard to provide satisfied service for IoT users. To maximize the task completion rate under latency constraints, collaborative computing and resource allocation among LEO networks are jointly investigated in this paper, and the joint task offloading, scheduling, and resource allocation is formulated as a dynamic mixed-integer problem. To tack the complex problem, we decouple it into two subproblems with low complexity. First, the max-min fairness is adopted to minimize the maximum latency via optimal resource allocation with fixed task assignment. Then, the joint task offloading and scheduling is formulated as a Markov decision process with optimal communication and computing resource allocation, and deep reinforcement learning is utilized to obtain long-term benefits. Simulation results show that the proposed scheme has superior performance compared with other referred schemes.







Author(s):  
Peng Qin ◽  
Yiying Zhu ◽  
Xiongwen Zhao ◽  
Xu Feng ◽  
Jiayan Liu ◽  
...  




2021 ◽  
pp. 1598-1604
Author(s):  
Jiajia Fu ◽  
Zanhong Wu ◽  
Yuhang Chen ◽  
Xuchuan Huang


Author(s):  
Andrey Ivanov ◽  
Maria Stoliarenko ◽  
Stanislav Kruglik ◽  
Serafim Novichkov ◽  
Andrey Savinov


2021 ◽  
Vol 17 (2) ◽  
pp. 1069-1078
Author(s):  
Nan Li ◽  
Ming Xiao ◽  
Lars K. Rasmussen ◽  
Xiping Hu ◽  
Victor C. M. Leung


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