Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables
复制标题
可再生能源集成多点通信系统的两尺度随机控制
DOI：
10.1109/tsg.2016.2601073
复制
发表时间：
2018-05
影响因子：
9.6
通讯作者：
Georgios B. Giannakis
中科院分区：
文献类型：
--
作者：
Xin Wang;Xiaojing Chen;Tianyi Chen;Longbo Huang;Georgios B. Giannakis
全球变暖和气候变化的威胁日益增加，这要求未来无线通信系统采用节能且可持续的设计。为此，针对智能电网供电的协调（此处句子不完整，最后一个单词“coordina”可能是“coordination”等词的一部分）提出了一种新颖的双尺度随机控制框架。
Increasing threats of global warming and climate changes call for an energy-efficient and sustainable design of future wireless communication systems. To this end, a novel two-scale stochastic control framework is put forth for smart-grid powered coordinated multi-point (CoMP) systems. Taking into account renewable energy sources, dynamic pricing, two-way energy trading facilities, and imperfect energy storage devices, the energy management task is formulated as an infinite-horizon optimization problem minimizing the time-averaged energy transaction cost, subject to the users’ quality of service requirements. Leveraging the Lyapunov optimization approach as well as the stochastic subgradient method, a two-scale online control (TS-OC) approach is developed for the resultant smart-grid powered CoMP systems. Using only historical data, the proposed TS-OC makes online control decisions at two timescales, and features a provably feasible and asymptotically near-optimal solution. Numerical tests further corroborate the theoretical analysis, and demonstrate the merits of the proposed approach.
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影响因子：
16.4
作者：
Haoran Yu;M. H. Cheung;Longbo Huang-;Jianwei Huang
通讯作者：
Haoran Yu;M. H. Cheung;Longbo Huang-;Jianwei Huang
影响因子：
11.2
作者：
Irmer, Ralf;Droste, Heinz;Jungnickel, Volker
通讯作者：
Jungnickel, Volker
影响因子：
16.4
作者：
Member Ieee Subhash Lakshminarayana;S. M. I. Tony Q. S. Quek-S.-M.-I.-Tony-Q.-S.-Quek-2265929724;F. I. H. Vincent Poor
通讯作者：
Member Ieee Subhash Lakshminarayana;S. M. I. Tony Q. S. Quek-S.-M.-I.-Tony-Q.-S.-Quek-2265929724;F. I. H. Vincent Poor
影响因子：
6.8
作者：
Stephen P. Boyd;L. Vandenberghe
通讯作者：
Stephen P. Boyd;L. Vandenberghe
影响因子：
10.4
作者：
Jun Zhang;Runhua Chen;J. Andrews;Arunabha Ghosh;R. Heath
通讯作者：
Jun Zhang;Runhua Chen;J. Andrews;Arunabha Ghosh;R. Heath