Access Control and Resource Allocation for M2M Communications in Industrial Automation

被引:133
作者
Zhou, Zhenyu [1 ]
Guo, Yufei [1 ]
He, Yanhua [1 ]
Zhao, Xiongwen [1 ]
Bazzi, Wael M. [2 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[2] Amer Univ Dubai, Elect & Comp Engn Dept, Dubai 28282, U Arab Emirates
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Access control; contract theory; lyapunov optimization; machine-to-machine (M2M); matching theory; resource allocation; MACHINE-TYPE COMMUNICATIONS; NETWORKS; CHALLENGES;
D O I
10.1109/TII.2019.2903100
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine-to-machine communication with autonomous data acquisition and exchange plays a key role in realizing the "control"-oriented tactile Internet applications such as industrial automation. In this paper, we develop a two-stage access control and resource allocation algorithm. In the first stage, we propose a contract-based incentive mechanism to motivate some delay-tolerant machine-type communication devices to postpone their access demands in exchange for higher access opportunities. In the second stage, a long-term cross-layer online resource allocation approach is proposed based on Lyapunov optimization, which jointly optimizes rate control, power allocation, and channel selection without prior knowledge of channel states. Particularly, the joint power allocation and channel selection problem is formulated as a two-dimensional matching problem, and solved by a pricing-based stable matching approach. Finally, the performance of the proposed algorithm is verified under various simulation scenarios.
引用
收藏
页码:3093 / 3103
页数:11
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