The improvement of the energy efficiency and reduction latency are two main goals next generation Radio Access Networks (RANs). In order to achieve latter, Multi-access Edge Computing (MEC) is emerging as a promising solution: it consists placement computing storage servers, directly at each Base Station (BS) these networks. For RAN efficiency, dynamic activation BSs considered an effective app...

With the development of Internet-of-Things (IoT), we witness explosive growth in number devices with sensing, computing, and communication capabilities, along a large amount raw data generated at network edge. Mobile (multi-access) edge computing (MEC), acquiring processing (like base station (BS)) via wireless links, has emerged as promising technique for real-time applications. In this paper,...

Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in access nodes. MEC helps fulfill stringent requirements of 5G beyond networks offer anytime-anywhere connectivity for many devices with ultra-low delay huge bandwidths. Information-Centric Networking (ICN) a...

5G is the fifth-generation cellular network satisfying requirements IMT-2020 (International Mobile Telecommunications-2020) of International Telecommunication Union. operators started using it worldwide in 2019. Generally, achieves exceptionally high values performance parameters access and transmission. The application edge servers has been proposed to facilitate implementing such 5G, resultin...

Facing the trend of merging wireless communications and multi-access edge computing (MEC), this article studies computation offloading in beyond fifth generation networks. To address technical challenges originating from uncertainties sharing limited resource an MEC system, we formulate problem as a multi-agent Markov decision process, for which distributed learning framework is proposed. We pr...

In order to solve the problem of service interruption caused by user movement and limited range edge nodes, a migration algorithm based on multi-attribute Markov decision process was proposed for mobile computing. By performing migration, distance between is always kept small range. addition, in prevent quality from being affected frequent users, return function model defined comprehensively co...

Task offloading in mobile edge computing (MEC) improves the efficacy of devices terms performance, data storage, and energy consumption by computational tasks to servers. Efficient task can leverage MEC technology reduce processing latency consumption. By integrating reasoning ability machine intelligence cognitive architecture, such as SOAR ACT-R, reinforcement learning (RL) algorithms have be...