In this paper, we jointly consider partial offloading and resource allocation to minimize the
sum latency with energy efficiency for multi-user mobile-edge computation offloading …

In this paper, we consider latency-minimization resource allocation for a multi-user mobile
edge computation offloading (MECO) system. First, we develop a novel partial computation …

Mobile-edge computation offloading (MECO) offloads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

By offloading computationally intensive tasks to the edge cloud provided by the cellular base
stations, the mobile edge computing (MEC) technique has the potential to realize the critical …

With the rapid growth of computation demands from mobile applications, mobile-edge
computing (MEC) provides a new method to meet requirement of high data rate and high …

By offloading intensive computation tasks to the edge cloud located at the cellular base
stations, mobile-edge computation offloading (MECO) has been regarded as a promising …

Mobile-edge computation offloading (MECO) off-loads intensive mobile computation to
clouds located at the edges of cellular networks. Thereby, MECO is envisioned as a …

Mobile-edge computation offloading (MECO) is a promising solution for enhancing the
capabilities of mobile devices. For an optimal usage of the offloading, a joint consideration of …

We consider Device-to-Device (D2D)-enabled mobile edge computing offloading scenario,
where a device can partially offload its computation task to the edge server or exploit the …

Mobile edge computing (MEC) is a promising technique to enhance the computation
capacity at the edge of mobile networks. The joint problem of partial offloading decision …