DeepAI AI Chat
Log In Sign Up

Wireless Powered Mobile Edge Computing: Offloading Or Local Computation?

08/17/2020
by   Constantinos Psomas, et al.
0

Mobile-edge computing (MEC) and wireless power transfer are technologies that can assist in the implementation of next generation wireless networks, which will deploy a large number of computational and energy limited devices. In this letter, we consider a point-to-point MEC system, where the device harvests energy from the access point's (AP's) transmitted signal to power the offloading and/or the local computation of a task. By taking into account the non-linearities of energy harvesting, we provide analytical expressions for the probability of successful computation and for the average number of successfully computed bits. Our results show that a hybrid scheme of partial offloading and local computation is not always efficient. In particular, the decision to offload and/or compute locally, depends on the system's parameters such as the distance to the AP and the number of bits that need to be computed.

READ FULL TEXT

page 1

page 2

page 3

page 4

12/02/2017

Price-Based Distributed Offloading for Mobile-Edge Computing with Computation Capacity Constraints

Mobile-edge computing (MEC) is a promising technology to enable real-tim...
02/23/2019

Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals

This paper considers a wireless powered multiuser mobile edge computing ...
08/25/2019

Collaborative Computation Offloading in Wireless Powered Mobile-Edge Computing Systems

This paper studies a novel user cooperation model in a wireless powered ...
09/25/2020

Computation Bits Maximization in a Backscatter Assisted Wirelessly Powered MEC Network

In this paper, we introduce a backscatter assisted wirelessly powered mo...
09/16/2020

Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems

Multi-access Edge Computing (MEC) enables computation and energy-constra...
02/10/2021

Energy-Harvesting Distributed Machine Learning

This paper provides a first study of utilizing energy harvesting for sus...
04/17/2020

Computation Offloading in Heterogeneous Mobile Edge Computing with Energy Harvesting

Energy harvesting aided mobile edge computing (MEC) has gained much atte...