Cooperative edge caching in user-centric clustered mobile networks
With files proactively stored at base stations (BSs), mobile edge caching enables direct
content delivery without remote file fetching, which can reduce the end-to-end delay while …
content delivery without remote file fetching, which can reduce the end-to-end delay while …
Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …
architectures should be modified. To cope with the challenges that arise due to the …
Ultra-reliable low-latency communications in autonomous vehicular networks
X Ge - IEEE Transactions on Vehicular Technology, 2019 - ieeexplore.ieee.org
Autonomous vehicles are expected to emerge as a main trends in vehicle development over
the next decade. To support autonomous vehicles, ultra-reliable low-latency …
the next decade. To support autonomous vehicles, ultra-reliable low-latency …
Industry 4.0: a proposal of paradigm organization schemes from a systematic literature review
Currently, the concept of Industry 4.0 is well known; however, it is extremely complex, as it is
constantly evolving and innovating. It includes the participation of many disciplines and …
constantly evolving and innovating. It includes the participation of many disciplines and …
FCSS: Fog-computing-based content-aware filtering for security services in information-centric social networks
Social networks are very important social cyberspaces for people. Currently, information-
centric networks (ICN) are the main trend of next-generation networks, which promote …
centric networks (ICN) are the main trend of next-generation networks, which promote …
Resource allocation for information-centric virtualized heterogeneous networks with in-network caching and mobile edge computing
In order to better accommodate the dramatically increasing demand for data caching and
computing services, storage and computation capabilities should be endowed to some of …
computing services, storage and computation capabilities should be endowed to some of …
Privacy-aware offloading in mobile-edge computing
Recently, mobile-edge computing (MEC) emerges as a promising paradigm to enable
computation intensive and delay-sensitive applications at resource limited mobile devices …
computation intensive and delay-sensitive applications at resource limited mobile devices …
Consortium blockchain-based spectrum trading for network slicing in 5G RAN: A multi-agent deep reinforcement learning approach
GO Boateng, G Sun, DA Mensah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Network slicing (NS) is envisioned as an emerging paradigm for accommodating different
virtual networks on a common physical infrastructure. Considering the integration of …
virtual networks on a common physical infrastructure. Considering the integration of …
Trust-based social networks with computing, caching and communications: A deep reinforcement learning approach
Social networks have continuously been expanding and trying to be innovative. The recent
advances of computing, caching, and communication (3C) can have significant impacts on …
advances of computing, caching, and communication (3C) can have significant impacts on …
Blockchain-enabled resource trading and deep reinforcement learning-based autonomous RAN slicing in 5G
GO Boateng, D Ayepah-Mensah… - … on Network and …, 2021 - ieeexplore.ieee.org
The advent of radio access network (RAN) slicing is envisioned as a new paradigm for
accommodating different virtualized networks on a single infrastructure in 5G and beyond …
accommodating different virtualized networks on a single infrastructure in 5G and beyond …