Mobile edge computing (MEC) offers a way to shorten the cloud servicing delay by building
the small-scale cloud infrastructures, such as cloudlets at the network edge, which are in …

When multiple users seek to offload computational tasks to their access point, the nature of
the multiple access scheme, and the optimization of its parameters, play a critical role in the …

Computation offloading enables energy-limited devices to expand the scope of the
computational tasks that they can complete within specified latency requirements. However …

When multiple devices seek to offload computational tasks to their access point, the nature
of the multiple access scheme plays a critical role in the system performance. For a system …

Mobile cloud computing provides shared computational resources to which mobile devices
can offload computational tasks in order to reduce energy consumption or reduce the …

Mobile edge computing systems provide computational resources at the network access
point that can be shared among the attached devices. Effective utilization of these resources …

Computation offloading enables energy-limited mobile devices to expand the range of
applications that they can execute. When multiple devices each seek to execute a latency …

The Mobile Edge Computing framework provides small scale devices with the opportunity to
offload their computational tasks to computing infrastructure at a network access point …

Multi-user computation offloading inherently involves the allocation of communication
resources among the offloading devices. Since the devices require timely results, that …

Computation offloading expands the range of computationally-intensive and latency-
constrained tasks that mobile users can execute. In a multi-user setting, the system selects …