Energy-Efficient Resource Allocation for Wireless Powered Cognitive Mobile Edge Computing

被引：0
|
作者：
Liu, Boyang [1 ]
Bai, Jing [1 ]
Ma, Yujiao [1 ]
Wang, Jin [1 ]
Lu, Guangyue [1 ]
机构：
[1] Xian Univ Posts & Telecommun, Xian 710121, Shaanxi, Peoples R China
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2019年
基金：
中国国家自然科学基金;
关键词：
Mobile edge computing; cognitive radio; cooperative relay; wireless power transfer; RADIO; DECOMPOSITION; OPTIMIZATION; NETWORKS; INTERNET; SYSTEMS;
D O I：
10.1109/iccw.2019.8756664
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a framework for mobile edge computing (MEC) in cognitive radio (CR) networks is proposed, which integrates three technologies: MEC, cooperative relaying and wireless power transfer (WPT). The purpose of this paper is to minimize the energy cost of the WO in both partial offloading and local computing scenarios. A two-phase algorithm is proposed to solve the optimization problems. Semi-closed and closed-form solutions are derived by using Lagrangian dual decomposition and successive pseudo-convex approximation (SPCA) algorithm. Simulation results show the effects of the different parameters on the system performance and demonstrate the validity of our proposed algorithm.
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收藏
页数：6
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