Joint computation and communication resource allocation in mobile-edge cloud computing networks

X Lin, H Zhang, H Ji, VCM Leung - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Mobile devices are in general resource-constrained, having limited computation resource
and battery life. It is a significant challenge to resolve the contradiction between resource-
hungry applications and resource-constrained mobile devices. As a promising approach to
address such a challenge, computation offloading enables mobile users to offload
computation to nearby resource-rich cloud infrastructure to reduce energy consumption and
improve performance. In this paper, we formulate the computation offloading decision …

Joint computation and communication resource allocation for energy-efficient mobile edge networks

J Opadere, Q Liu, N Zhang… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
In this paper, an ultra-dense mobile edge network is studied, where base stations (BSs) are
equipped with computation resources to execute users' offloaded tasks. Although an
ultradense BS deployment provides seamless coverage and reduced computation latency of
the offloaded tasks, the cost of network power consumption is increased. We formulate an
optimization problem to jointly optimize active BSs set, uplink and downlink beamforming
vector selection, and computation resource allocation in order to tackle the power …
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