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On Using Edge Computing for Computation Offloading in Mobile Network [PDF]
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017 Mobile edge computing (MEC) emerges as a promising paradigm that extends the cloud computing to the edge of pervasive radio access networks, in near vicinity to mobile users, reducing drastically the end-to-end access latency to computing resources.
Messaoudi, Farouk +2 more
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Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing [PDF]
IEEE Transactions on Green Communications and Networking, 2022 Accepted and published in the IEEE Transactions on Green Communications and ...
Merluzzi, Mattia +4 more
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Edge computing technologies for Internet of Things: a primer
Digital Communications and Networks, 2018 With the rapid development of mobile internet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency (SE), and non-adaptive machine type of ...
Yuan Ai, Mugen Peng, Kecheng Zhang
doaj +1 more source
, 2021 Abstract—Latest generation mobile networks aim to use multi-tier heterogeneous cellular networks integrated with cloud computing to provide users with low latency and energy-aware service. However, for high bandwidth and low latency services, edge/fog computing comes into the scenario.
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Deployment Characteristics of "The Edge" in Mobile Edge Computing [PDF]
Proceedings of the 2018 Workshop on Mobile Edge Communications, 2018 The envisioned capabilities of mobile edge computing are predicated on a delivery infrastructure with capacity, ubiquity, robustness, and capabilities to serve a country-wide user base. In this paper, we present an empirical study of key aspects of mobile edge infrastructure toward the goal of understanding their current characteristics and identifying
Meenakshi Syamkumar +2 more
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Joint Computation Offloading and Resource Allocation for D2D-Assisted Mobile Edge Computing
IEEE Transactions on Services Computing, 2023 Computation offloading via device-to-device communications can improve the performance of mobile edge computing by exploiting the computing resources of user devices.
W. Jiang +5 more
semanticscholar +1 more source
Sharing is Caring: A Mobile Edge Computing Perspective [PDF]
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021 In this paper, we consider a system model in conjunction with two major technologies in 5G communications, i.e., mobile edge computing and spectrum sharing. An IoT network, which does not have access to any licensed spectrum, carries its computational task offloading activities with help of spectrum sharing.
Biswas, Nilanjan +3 more
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Edge Computing Architecture for Mobile Crowdsensing
IEEE Access, 2018 Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic +2 more
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Mobile Edge Computing for UAVs [PDF]
, 2021 AbstractThis chapter studies mobile edge computing (MEC) networks assisted by unmanned aerial vehicles (UAVs). According to the application scenarios, we consider three roles for UAVs in MEC networks: exploiting MEC computing capabilities, serving as a computing server, and serving as a relay for computation offloading.
openaire +2 more sources
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks [PDF]
IEEE Transactions on Mobile Computing, 2019 Wireless powered mobile-edge computing (MEC) has recently emerged as a promising paradigm to enhance the data processing capability of low-power networks, such as wireless sensor networks and internet of things (IoT).
Liang Huang +2 more
openalex +2 more sources