Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks

By Sergio Barbarossa, Stefania Sardellitti, P. Lorenzo. 2014

451 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, ML Systems & Hardware

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Citations in the corpus

Why Should We Add Early Exits to Neural Networks? (2020, background): “Alternatively, more sophisticated distributed optimization strategies, possibly taking into account also communication constraints, are an open interesting research area [4, 6].”
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing (2019, background): “This paradigm is referred to as mobile edge computing (MEC) [3]–[14].”
Joint offloading and computing optimization in wireless powered mobile-edge computing systems (2017, methodology): “Note that the computation offloading also incurs additional energy consumption at the AP, as it needs to receive the offloaded bits from the K users, execute the computation sub-tasks (by the integrated MEC server), and send the computation results back to the users [2].”
Deep reinforcement learning based computation offloading and resource allocation for MEC (2018, background): “Since the data rates for wireless communications are not constant, the optimal binary computation offloading decision using convex optimization was proposed in [6], where the the famous Shannon-Hartley formula gave the power-rate function.”
Joint computation and communication cooperation for mobile edge computing (2017, background): “, [3]–[10] and the references therein) investigating the joint computation and communication optimization to improve the performance of MEC.”
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration (2017, unknown): “A comprehensive overview on computation offloading considering small cell edge computing is provided in [37].”
A Survey on Mobile Edge Computing: The Communication Perspective (2017, methodology): “, [85], [86], [94], [117], [119], and [138], wireless channels were assumed to remain static during the whole task execution process for simplicity.”
Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices (2016, background): “Thus, lots of recent efforts have been attracted from both industry [3], [4] and academia [5]–[8].”
Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing (2018, methodology): “, access points (APs) and cellular base stations (BSs)], by deploying distributed MEC servers therein [3]–[9].”
Multiobjective Optimization for Computation Offloading in Fog Computing (2018, background): “To date, several types of mobile cloud architectures are categorized [7], such as the traditional central cloud [6], [8], ad hoc mobile cloud [9], [10], cloudlet [11]–[14], etc.”
A survey on 5G: The next generation of mobile communication (2015, background): “In 5G networks, a UE may receive interference from multiple macrocell base-stations (MBSs), various UEs, and small-cell base-stations (SBSs).”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “in the long distance and use bothWiFi and cellular connection simultaneously [6], i.”
Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach (2019, background): “Many significant issues in MEC have been extensively investigated, including offloading task model [3], [4], energy efficiency [5]–[7], latency reduction [8]–[10], and joint optimization of communication and computing [11], [12].”