Abstract
Most mobile edge computing (MEC) works assume that the mobile devices (MDs) can offload their tasks to the MEC-severs at anytime, which may not be a practical assumption due to the tension between a large number of MDs and the scarce spectrum resources. In this paper, a framework for wireless powered cognitive radio (CR)-based MEC-enabled networks is proposed, which integrates three technologies: MEC, CR, and wireless power transfer (WPT). CR technology with imperfect spectrum sensing is adopted by the MD to find the spectrum access opportunities. An optimization problem is formulated to maximize the average calculated number of bits (CNoB) of the MD, which is non-convex and hard to solve. A two-loop procedure using a one-dimensional line search method is proposed. The time for spectrum sensing, WPT, energy harvesting (EH) and offloading, the central processing unit (CPU) frequency, and the transmit power of the MD are jointly optimized. Some semi-closed form solutions are obtained through Lagrangian dual decomposition and successive pseudo-convex approximation (SPCA) methods. Simulation results are presented to show the effectiveness of the proposed CR-based MEC scheme with different parameters.
Highlights
THE finite battery capacity and the limited computation capability of the mobile devices (MDs) are two major challenges to the applications of them in computation-intensive and delay-sensitive scenarios. These challenges can be alleviated by three technologies: 1) energy harvesting (EH) for MDs harvesting ambient renewable energy [1]; 2) wireless power transfer (WPT) for powering the MDs through microwaves [2]; 3) mobile edge computing (MEC) providing cloud-like computing capability to the MDs [3]–[7]
Motivated by the above considerations and facts, we propose a framework for wireless powered cognitive radio (CR) based WPT-MEC system with imperfect spectrum sensing
PROBLEM FORMULATION we investigate the average calculated number of bits (CNoB) of the MD maximization problem in the CR based WPT-MEC network and analyses the complexity of the proposed algorithm
Summary
THE finite battery capacity and the limited computation capability of the mobile devices (MDs) are two major challenges to the applications of them in computation-intensive and delay-sensitive scenarios These challenges can be alleviated by three technologies: 1) energy harvesting (EH) for MDs harvesting ambient renewable energy [1]; 2) wireless power transfer (WPT) for powering the MDs through microwaves [2]; 3) mobile edge computing (MEC) providing cloud-like computing capability to the MDs [3]–[7]. In partial offloading mode, part of a task can be offloaded for edge execution while the rest need to be computed locally Notice that, both the two offloading modes require available spectrum for offloading. Motivated by the above considerations and facts, we propose a framework for wireless powered CR based WPT-MEC system with imperfect spectrum sensing.
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